GeoPhasix Research opening artwork: Earth framed by magnetospheric field lines, auroral activity, solar forcing, oceans, ice, storms and deep-Earth energy.
GEOPHASIXINDEPENDENT RESEARCH / EARTH SYSTEMS
INDEPENDENT SYNTHESIS · 02 OCT 2026

Independent research synthesis / 2026 assessment

State of
the planet.

A changing field.
A restless environment.
A civilization with finite margins.

From the deep Earth to interstellar space: what is observed now, what is reconstructed, what is conditional—and where established pathways can genuinely compound.

Enter the assessment ↓
Orthographic map of the 2025 IGRF-14 surface magnetic field, centred on the South Atlantic. Copper colours mark weaker field, blue stronger field; gold marks the 32,000-nanotesla contour.
THE MAGNETIC EARTH
IGRF-14 / 2025
Surface field, centred on the South Atlantic. Gold: 32,000 nT.
WeakerStrongerModel & source ↗

The assessment in three findings

More pressure. Unequal protection.

Keep state, mechanism, timing and consequence separate. Then ask where the evidence actually allows them to meet.

−19.9%

The longer magnetic retreat

The 2025 total dipole is about one-fifth below GGF100k’s strongest sustained Holocene millennium.

Baseline comparison, not excursion probability. 92

+1.26°C

The warmer starting condition

Observed warming over 2016–2025, relative to 1850–1900. Human-induced warming accounts for 1.24°C.

Observed estimate: 1.13–1.36°C. 9

39.1 h

The interval without power

Power-caused cell-site outage time per fixed-panel site in western North Carolina after Helene.

28 Sep–7 Oct 2024; panel average, not customer duration. 4

The evidence supports several changing conditions and several mechanisms capable of interaction; it does not establish that they are synchronizing toward one imminent planetary transition. A major solar shock needs no magnetic reversal to matter. The longer magnetic baseline remains consequential. Lasting environmental pressure can make interruption harder to endure—and successful protection can still contain the loss. 6,9,96,7,88

How to read this assessment

The architecture follows the evidence.

Proximity on the page is not proof of common timing or common cause. Each layer is tagged by what the evidence actually establishes.

Publication statusIndependent evidence synthesis

This is a GeoPhasix-authored research synthesis and visual analysis. It is not a NASA, NOAA, ESA, USGS, university, journal or government publication; it is not itself a peer-reviewed paper or a scientific-consensus statement. It synthesizes peer-reviewed literature, agency and observational data, reconstructions, and explicitly labeled original calculations and conditional models. Authority for source claims remains with the cited sources; GeoPhasix is responsible for the synthesis, calculations and interpretation presented here.

Peer-reviewed literatureAgency dataReconstructionOriginal calculationConditional model
01 · OBSERVED NOW

Measured present conditions

Human-caused warming, changing geomagnetic geometry, the South Atlantic weak-field region, solar activity and real infrastructure interruptions belong here.

Measured / operational evidence. 9,27,4
02 · RECONSTRUCTED

Longer historical context

Holocene and deep-time field reconstructions change the baseline against which the modern state is judged. They do not add a countdown.

Model- and chronology-dependent history. 92,96
03 · CONDITIONAL

Physically specified severe cases

Weak-field transport, compressed-heliosphere experiments and other extreme branches answer what if these conditions occur? They are not claims that those conditions exist today.

Mechanism tests / scenario models. 44,102,103
04 · OPEN

Where the big thesis must still earn its way

Shared timing, excursion onset, a common external trigger and a calibrated probability of synchronized planetary transition remain unestablished.

Research questions, not hidden conclusions. 97,101
Explicitly not claimedFour shortcuts this assessment rejects.

NOThat Earth is currently undergoing a geomagnetic excursion or reversal, or that onset has been established.

NOA cosmic, solar or geomagnetic replacement for anthropogenic modern warming.

NOA validated ~12,000-year catastrophe clock, common onset clock, or unified impending-disaster timeline.

NOThat Earth is currently entering or traversing the extreme cold, dense-cloud regime modeled for deep time.

What is maintained: the longer magnetic retreat is materially larger against Holocene-high baselines; field geometry is actively reorganizing; the South Atlantic weak-field structure has present operational relevance; severe solar forcing matters under the present field; several external mechanisms are physically legitimate conditional hazards; and real consequences depend on whether protective capacity survives the interval to recovery. These propositions do not require a reversal, a dense-cloud encounter, or a synchronized planetary clock.

01Environmental pressureYears to centuries

The next shock arrives on a changed planet.

A cooler month does not empty the ocean’s heat, replenish depleted water or restore an injured reef. The starting condition carries the history of earlier stress.

Observed nowPrimary modern warming attribution: human greenhouse forcing

Computed here from HadCRUT5

The long trend outlasts any single year.

18601900194019802020−0.4°0.0°+0.4°+0.8°+1.2°+1.6°HadCRUT5 global mean, °C relative to 1850–19001.5°C reference2016–2025 mean +1.28°
Annual mean, with 95% rangeDecade means
HadCRUT5 annual global warming relative to 1850–1900, with the dataset’s 95% range. Bars show decade means; the gold bar marks 2016–2025. Partial-year 2026 is excluded. 12,2

Heat is accumulating.

The gap between absorbed sunlight and emitted heat has more than doubled in recent decades. Reduced reflectivity—especially changes in low cloud—is part of the recent energy-budget story. The partition between variability, aerosol changes and feedback remains unresolved. 10,14

Respite is not recovery.

About 84% of global reef area encountered bleaching-level heat stress between early 2023 and mid-2025. In monitored Florida Keys and Dry Tortugas colonies, two reef-building coral species suffered 97.8–100% mortality. The regional biological result is not a global mortality estimate. 19,20

Near-term protection and limiting future warming are different tasks. Long-lived damage does not mean every future increment of warming is inevitable. 17,24

Water, ice, circulation & rotation
02Magnetic trajectoryCenturies to millennia

The longer view reveals a larger retreat.

A 7.6% decline since 1900 is not the loss from a Holocene high. The denominator changes the history being told—not the present-day field.

Observed + reconstructedLarge retreat established · excursion onset/timing unresolved
Compare the reference states

One present-day field.
Three perspectives.

The 2025 total dipole is 7.690 × 10²² A m². Choose a baseline to see how the same value compares. These are different definitions, not bounds of an uncertainty interval. 92,94

−19.9%

Below the strongest 1,000-year mean in GGF100k.

Reference
9.603
2025 dipole
7.690
04812

Total dipole moment · 10²² A m² · bars start at zero

The strongest millennium averages 9.603 × 10²² A m², approximately 2.25–1.25 thousand years before 1950. The sampled peak gives a 21.7% decline. Model smoothing and age uncertainty limit the precision of the ancient comparison.

Reconstructed history / GGF100k

The recent decline sits inside a longer high-to-lower trajectory

Holocene dipole moment in the GGF100k modelA zero-based vertical scale from 0 to 12. GGF100k peaks at 9.824; the separate 2025 reference is 7.690. A separate published high-state reference is 11.64. No uncertainty envelope is available.036912024681011.7Dipole moment · 10²² A m² · zero-based scaleAge in thousands of years before 1950 (oldest at left)
Solid copper: GGF100kDashed teal: 2025 comparisonDotted gold: separate 11.64 referenceShaded: strongest millennium
The plotted GGF100k reconstruction is sampled every 200 years and rounded to 0.001 × 10²² A m². The record ends at 0 BP = 1950; the modern line is a separate 2025 reference, not a measured continuation between those dates. The selected millennium spans approximately 2.25–1.25 ka BP. Smoothing, calibration, geographic sampling and age uncertainty limit how precisely the high can be located.92,51

The wider record keeps the comparison honest. The same modern value is 5.0% below the Holocene mean and 12.6% above the 100,000-year mean in GGF100k. A retreat from a high, an anomaly relative to a mean and the rate of decline answer different questions. 92

The recent decline has not accelerated continuously. Five-year IGRF intervals since 2015 imply roughly 4.1–4.7% loss per century, slower than earlier peaks. Meanwhile, the weak-field footprint continues to expand. A worsening state can coexist with an easing rate. 1,2

Reconstruction: IGRF-14, computed here

Watch the weak-field region change.

IGRF-14 surface field in 2025: weakest field 22,094 nT; 21.1% of the surface below 32,000 nT. Colours show magnetic intensity, not radiation dose.
WeakerStronger, about 21,000 to 68,000 nT32,000 nT contourDashed white line: path of the weakest point. White dot: north dip pole.
2025
Weakest surface field
22,094 nT
Its position
26.3°S, 60.0°W
Surface below 32,000 nT
21.1%
Dipole moment
7.69 × 10²² A m²
Off-centre dipole
605 km
North dip pole
85.7°N, 138.8°E
Share of Earth’s surface below 32,000 nT, 1900–2030
IGRF-14 at five-year epochs. The surface area below the selected 32,000 nT contour grows from 8.9% in 1900 to 21.1% in 2025. 2030 is a secular-variation extrapolation; the colours are field strength, not dose. 1,2,29
Strength

A substantial decline

The 33.9% comparison uses a separate published high-dipole input of 11.64. It is not GGF100k’s maximum millennium and is not an upper confidence bound. 94,92

Geometry

A changing distribution

Regional weakening, strengthening, pole movement and non-dipole structure reshape access to particles. One global strength value cannot describe all of them. 28,29

Threshold

No calibrated countdown

A proposed low-field event level is not a validated modern warning threshold. Being above it does not prove stability; being far below an ancient high does not time onset. 93,97

All eight baselines, rates & field diagnostics
03Deep-Earth dynamicsYears to millions of years

The engine is moving.
The destination is open.

The field is the surface expression of a working dynamo. Mantle structure, conducting flow and rapid waves interact—but do not all run at the same pace.

Observed + modeled dynamicsCoupling is real · a shared threshold is not established

Deep structure sets the stage.
Fast flow changes the scene.

Large low-shear-velocity provinces beneath Africa and the Pacific can influence the core’s thermal boundary conditions. They are not direct measurements of present heat flux or a newly crossed dynamo threshold. 99,50

Geomagnetic jerks mark abrupt changes in secular acceleration. Simulations reproduce them through hydromagnetic waves focusing near the core surface. Sharp local change therefore has a physical explanation that does not require a global polarity reversal. 100

The connected layers of the deep EarthConceptual cross-section: a solid mantle surrounds the conducting liquid outer core and solid inner core. Boundary heat flow helps organize the dynamo; angular momentum also transfers between layers. Not to scale.MANTLELIQUID OUTER CORESOLID INNER COREBOUNDARY CONDITIONSThermal heterogeneityFlow · induction · wavesRelative rotationHeat extraction helps organize flow
Conceptual cross-section, not to scale. The textures are illustration, not a simulation of flow. 39,99
Different kinds of reversalFlow is not polarity.

A regional core flow changing direction, or the inner core changing motion relative to the mantle, is not the global magnetic field reversing. 41,40

Different historiesAnalogue is not destiny.

SAA-like structures occurred before. A newer reconstruction finds the modern anomaly more pronounced than selected ancient examples, with large ancient uncertainty. Neither imminent reversal nor scheduled recovery follows. 49,96

Different observationsAgreement is not independence.

Dipole, pole position, offset and anomaly area can come from the same coefficients. They reveal geometry; they are not four independent warnings. 29,1

Mechanism atlas / select a pathway

One planet.
Several kinds of connection.

Follow the transfer: heat, angular momentum, particles, atmospheric chemistry, or lost service.

Established pathway / changing regional expression

MantleOuter coreMagnetic field

The boundary conditions outlast the anomalies.

Heat loss and compositional buoyancy sustain moving, conducting fluid. Long-lived mantle heterogeneity can influence where non-dipole structures recur; it does not prescribe the date of an excursion.

Mantle context: millions of years. Observable core changes: years to millennia.
Read the mantle evidence ↗
Mechanistic schematic, not a measured network. Arrow direction identifies a physical pathway; it does not quantify its strength or imply synchronized change across all layers. Sources and the limits of each connection appear in the selected pathway.7,10,39,42,43,44,45

The approximately six-year band shared by several rotation, magnetic and climate-related records is a serious coupling question—not a validated excursion clock. 46

Excursions, reversals & paleomagnetic limits
04Solar forcing & exposureHours to years

The Sun can deliver the shock.
A reversal is not required.

Geomagnetic storms, particle events and radiated flares are different hazards. Their timing, direction, spectrum and duration decide what reaches Earth.

Observed hazardNo reversal required · consequence remains event- and system-state dependent
Solar cycle 25

Past the peak is not
past the danger.

SILSO places the smoothed sunspot maximum in October 2024. Strong activity can continue afterward; a flare count is not a grid-storm forecast. 115,116

Solar illustration · not an event observation

Computed from GFZ / SILSO · complete cycles 17–24

After maximum, severe storms still occur.

Rates use actual phase duration.
Before maximum2.51episodes per year81 episodes / 32.33 years
After maximum3.38episodes per year182 episodes / 53.92 years
After ÷ before1.35×pooled rate ratio4 of 8 cycles have a higher post-maximum rate
0123456Episodes per year · each cycle uses its own phase durationCycle 17Cycle 17: before 0.00; after 4.97 per yearCycle 18Cycle 18: before 4.01; after 3.76 per yearCycle 19Cycle 19: before 5.11; after 5.31 per yearCycle 20Cycle 20: before 1.96; after 3.14 per yearCycle 21Cycle 21: before 3.73; after 2.96 per yearCycle 22Cycle 22: before 1.89; after 3.56 per yearCycle 23Cycle 23: before 3.05; after 2.40 per yearCycle 24Cycle 24: before 0.75; after 0.53 per year
Before maximumAfter maximum
Cycle-resampling interval: 0.96–2.37. The middle 95% of resampled pooled rate ratios spans 1.00. Eight cycles do not establish a stable future phase multiplier.
Eight completed solar cycles, each normalized by time spent before and after its smoothed maximum. Open and filled points show the two phase rates. The displayed 95% cycle-bootstrap interval is descriptive, not a forecast multiplier. Exact counts and event rules ↓ 3,71,72

Across the eight completed cycles, the pooled severe-storm rate is 3.38 after maximum versus 2.51 before. Yet only four cycles share that direction, and the 95% cycle-resampling interval for the ratio spans equal rates. The defensible finding is persistent post-maximum exposure—not a universal escalation. 3

There is no single “shielding percentage.”

Particle access depends on magnetic geometry and energy. What happens next depends on altitude, atmospheric mass and chemistry. A weak-field contour cannot be converted directly into a radiation dose, and dipole loss cannot be converted directly into grid loss. 44,45,6

01 / The sourceSpectrum & durationWhich particles arrive, with what energy?
02 / The accessField & locationWhich trajectories reach the atmosphere?
03 / The responseAir & exposureWhat reaches a person or alters chemistry?

Published scenario / Larsen et al., 2026

Weaker field. Different routes. Different doses.

Whole-flight modeled effective dose · μSv2020 field Laschamps field

Helsinki–New York

2020
77.7 μSv
Laschamps
75.6 μSv

Helsinki–Dubai

2020
40.0 μSv
Laschamps
61.5 μSv
Background galactic cosmic rays: the northern route changes little, while the lower-latitude route rises. The field’s geometry matters, not only its overall strength.
Matched flights at 40,000 ft under a 2020 field and a reconstructed Laschamps field. The event view replays a 1956 particle event hypothetically. These are modeled whole-flight doses—not today’s flight forecasts. Units and scales change between views. 44

The consequence can outlast the forcing. An extreme particle-event model with no geomagnetic field produces elevated surface UV for up to six years. That boundary case is neither today’s South Atlantic Anomaly nor a forecast of disease. It demonstrates a potentially prolonged chemical response under explicit extreme conditions. 45

For ground infrastructure, local magnetic variation, electrical conductivity, grid configuration and operating limits determine the route from forcing to loss. 6,69

Storm records, particle transport & severe scenarios
05Interstellar contextThousands to millions of years

Beyond the Sun,
another boundary can move.

The Solar System travels through a structured interstellar medium. A changing environment is measurable; the strongest modeled encounter is a separate, conditional case.

Measured context + conditional extremesDeep-time mechanism included for consequence physics—not as evidence of a present encounter
Why this belongs in a 2026 assessment

Not because a cold-cloud collision is inferred today. It belongs because the heliosphere is a physical boundary condition on terrestrial particle exposure, nearby interstellar structure is observationally constrained, and published experiments show that sufficiently different boundary conditions can produce qualitatively different exposure regimes. Present state, conditional severity and timing remain separate conclusions.

From the interstellar medium to terrestrial exposureA schematic solar-wind cavity contains the Sun and Earth. Earth's magnetosphere and atmosphere provide distinct additional responses. Sizes, separations and field shapes are not to scale.INTERSTELLAR MEDIUMHeliosphereSolar-wind cavityMagnetosphereCharged-particle accessAtmosphereMass + chemistryThe SunEarthExternal conditions change the input.Each layer changes the response.
Conceptual architecture, not to scale. Charged particles, photons and deposited dust follow different pathways. 117,44,113

There is evidence of change.
Not evidence of today’s extreme collision.

A 2026 Antarctic study detected interstellar iron-60 in ice from 40–81 thousand years ago. Compared with younger records, the material influx supports a changing local environment—not a measured present-day cosmic-ray surge. 107

Nearby warm-cloud boundaries deserve attention. But a boundary’s location alone does not specify its gas pressure, thickness, magnetic field or exposure effect. The possible Local Interstellar Cloud exit over the next 2,000–6,000 years is not a dated dense-cloud impact. 107,108,119

Nearby warm-cloud description0.1–0.2particles per cubic centimetre

Approximately 5,000–10,000 K. A diffuse local environment discussed in the material-influx study. 107

Severe cold-cloud experiment3,000hydrogen atoms per cubic centimetre

20 K and 14.1 km/s relative speed. Assumed encounter conditions—not measurements of the gas around us today. 102

Under those dense-cloud inputs, a published simulation places the upwind heliopause at 0.22 ± 0.01 AU, inside Earth’s 1-AU orbit. A 2026 extension adds locally accelerated energetic particles. It expands the severe scenario beyond reduced filtering, but its external particle spectra do not directly specify ground dose. 102,103

Whether the proposed ancient encounter left the expected isotope record remains contested in a published critique and reply. Gas history, encounter duration and archive response must be resolved together. 104,105

Conditional frontier

The combined case is a calculation—not a product of percentages.

Compressed-heliosphere spectra, a structured weak geomagnetic field and atmospheric transport could interact consequentially. That combination is worth modeling explicitly. Multiplying a particle-production ratio by the percentage loss of dipole strength does not calculate it—and cannot establish that the required encounter is happening now. 106,103,44

Galactic-centre proposals, supernova material, the Radcliffe Wave and observed gamma-ray-burst effects remain in the evidence dossier, with their distinct messengers and limits. 112,109,111,113

The broader astrophysical evidence
06Cycles & thresholdsHours to geological time

Many clocks do not make
one countdown.

A spectral band, a changing state and a successfully predicted transition are three different findings. None should be quietly substituted for another.

Inference auditNo calibrated shared clock or transition probability is claimed
The stateWhat has changed?

Describe amplitude, geometry and rate with a named reference. A large retreat can be real without identifying a transition boundary.

The mechanismWhat connects it?

Identify the transfer of energy, angular momentum or particles. A weak trigger can matter near a threshold, but the coupling must be established.

The warningWhat does it predict?

Test a fixed event definition and lead time against transitions and recoveries, including misses and false alarms. 97,98

The timescale atlas

Different processes retain different kinds of memory.

hourdaymonthyeardecadecentury1,000 yr10 kyr100 kyr1 Myr10 Myr100 MyrServicesService gapsRepair backlogSun and space weatherStorm27 dSeasonsSolar cycleClimate and oceanENSOWarming trendSea-level commitmentCore and fieldCore wavesPole and dipoleAnomaly cyclesExcursionReversalPolarity intervalSuperchron
Orders of magnitude on a logarithmic axis. The bands describe process or observation timescales, not a common cycle and not a forecast of simultaneous events. Hover or focus a band for its definition. 2,4,39,58,9

A period in ice is not automatically a cosmic period.

A 145,000-year beryllium-10 analysis classifies 20 bands by production and archive effects. Its 11,637-year band belongs to the archive/system-only group, not the production-only group. This result cannot serve as evidence for an approximately 12,000-year external catastrophe clock. 101

4Production only13Production + archive3Archive / system only

Each equal-width mark represents one reported band, not its spectral power. Attribution to solar versus geomagnetic production remains unresolved. 101

Surface calm cannot prove a deep system is safe.
An unseen threshold cannot prove it is near.

Claims of shortening event intervals need a consistent catalogue, stable detection rules and predictions made before the next event—not a selection of increasingly close dates.

All 20 periods & the 14-path evidence map
07The human intervalHours to weeks

Recovery can come
too late.

The consequential threshold may be a battery running out, a water supply failing or repair access closing—not a global geophysical transition.

Observed operational mechanismCompound consequence can be real without synchronized planetary causation
The danger is the gap
between losing a service
and restoring it.

Power, communications, roads, fuel and repair capacity depend on one another. A single shock can remove both normal supply and the means to replace it. An eventual return to normal does not erase the exposure accumulated in between. 7,83,75

Hurricane Helene / measured infrastructure burden

The same reporting window. Very different lost service.

Hours off for power per fixed-panel cell site · 28 September–7 October 2024

Western North Carolina21 counties · 1,452 sites
39.1hours per site
Georgia30 counties · 1,450 sites
29.5hours per site
South Carolina46 counties · 7,458 sites
9.7hours per site
3.05×

Georgia’s power-off burden exceeded South Carolina’s despite a better conditional continuity percentage. More exposure outweighed the apparently better protection.

Bars start at zero and share a 40-hour maximum. Panel averages include sites with no power-caused outage. They are not customer disconnection times or individual battery lifetimes. The 3.05× ratio uses unrounded burden totals; displayed hours are rounded. 4,79
01 / PRESSURE

Reserves thin.

Heat, stored-water loss or prior damage changes the available margin.

02 / SHOCK

Supply stops.

An event interrupts electricity, access or communications.

03 / DEPENDENCY

Support is delayed.

The damaged system slows the crews and resupply needed to repair it.

04 / DEADLINE

Protection expires.

An essential substitute becomes unavailable before restoration.

A conditional storyline, not a reconstructed failure history for every Helene site. 7,83,89

Successful containment
is evidence, too.

During the May 2024 Gannon storm, targeted switching in New Zealand reduced induced currents at key transformers while maintaining supply. One monitored peak was about 113 A versus roughly 200 A in a modeled no-mitigation case. The same external hazard can meet a different operating state. 88

Protect the service, the recovery channel and the route that replenishes them. Measure what remains usable by the deadline—not just what exists in inventory.

Recovery, autonomy & allocation models
08OutlookAssessment: 2 October 2026

A harder world to operate.
Not an appointed end date.

The strongest synthesis is continued warming, changing magnetic exposure and recurrent regional service crises. It is not a forecast of synchronized planetary failure.

SynthesisDated interpretation · no calibrated probability assigned to a shared planetary transition

The severe outcome need not begin with the most spectacular event. It begins when the emergency outlasts the available alternatives.

Central direction / synthesis

More pressure on ordinary life.

Warming and accumulated environmental damage keep raising the work of maintaining water, cooling, electricity and recovery. Most systems continue operating; some regions repeatedly exhaust their protection. 9,16,17

Severe branch / conditional

An extreme event meets thin margins.

A strong solar disturbance, an extended blackout or overlapping emergencies can overwhelm reachable support. Severity depends on location, equipment, duration and feasible response—not a single global field number. 6,7,69

Open frontier / not timed

Deeper change remains a question.

Excursions, severe cloud encounters and common-driver hypotheses deserve discriminating tests. Present evidence does not provide a calibrated imminent probability for their conjunction. 97,102,101

What would change the assessment?

Magnetic evolutionIndependently reconstructed changes in dipole decay, directional structure and energy-resolved exposure—not repeated metrics from the same coefficients. 29,96,44
External forcingGas pressure, magnetic conditions and particle spectra consistent with a specified encounter. A dust record alone does not establish current radiation forcing. 107,103
Environmental memoryEnergy imbalance, stored freshwater and retained ecosystem function. A weaker immediate hazard is not proof of replenishment. 10,16,19
Service enduranceShorter unserved intervals under comparable exposure, with resupply and repair allocations that still work when several regions need them at once. 4,75

The future is not a countdown.
It is a changing margin.

This outlook is a synthesis judgment, not a calibrated probability model. Agency forecasts retain their original issue dates in the analytical dossier; illustrative trend continuations remain separate from predictions. Read the detailed horizon and scenario analysis ↗

AAnalytical reference

Go below
the surface.

Detailed evidence, experimental constructs and methods. Open only the layer you need.

Observations and reconstructions describe the world. Conditional models test a stated setup. Exact examples expose a mechanism. Their units, baselines and assumptions are kept separate here.

A1Climate, water & ecological memoryTemperature records, energy imbalance, water, reefs, Earth rotation, circulation and resource adequacy.
1Environmental pressureYears to centuries

The background is changing faster than a quiet year can reveal.

An exceptionally hot month measures immediate exposure, a decade-average attributed trend measures the sustained shift, and ocean heat, sea level and ice measure accumulation. Each keeps its own record, so a cooler month leaves the trend and the stored heat in place.

The 2026 Indicators of Global Climate Change assessment puts observed warming over 2016–2025 at 1.26°C above 1850–1900, with a range of 1.13–1.36°C; human-induced warming over the same decade is 1.24°C. Human-induced warming is now advancing at about 0.27°C per decade, with a likely range of 0.2–0.4°C. These decade-scale figures measure the sustained shift rather than any single year.9

The HadCRUT5 record shows the same structure. Its 2016–2025 mean is 1.28°C above 1850–1900; 2024 stands at 1.53°C and 2025 at 1.40°C. Ordinary least-squares trends steepen from 0.21°C per decade over 1975–2025 to 0.25°C over 2000–2025 and 0.36°C over 2011–2025. The last figure is inflated by the 2023–2024 peak and by natural variability within a short window; it is a description of the record, not an estimate of the forced rate.2,12

Explore the temperature record in Chapter 01 ↑

HadCRUT5 annual global mean surface temperature, re-expressed relative to its own 1850–1900 mean, with the dataset’s 95% range. Horizontal bars are decade means; the gold bar is 2016–2025. The partial 2026 year is omitted.12

WMO reports that August 2026 was the warmest August on record and June–August the warmest Northern Hemisphere summer, with ocean-surface temperatures setting a daily record during August. El Niño added to those conditions on top of the long-term forcing.13

The energy behind the trend

Earth’s energy imbalance—the gap between absorbed sunlight and emitted heat—is the quantity that drives accumulation. A synthesis of satellite and ocean observations finds that it has more than doubled in recent decades and now runs well above what climate models simulated for the period. The authors link much of the discrepancy to falling solar reflectivity and warn that the capacity to observe the imbalance is deteriorating as satellites are decommissioned.10

The reflectivity change has a specific signature. In 2023 global temperature rose almost to 1.5°C above preindustrial, beating the previous record by about 0.17°C; known drivers including anthropogenic warming and El Niño’s onset fall about 0.2°C short of explaining it. Satellite and reanalysis data identify a record-low planetary albedo as the main bridge, largely through reduced low cloud over the northern mid-latitudes and tropics. Whether that cloud decline is internal variability, fewer aerosols or an emerging feedback remains open.14

Carbon dioxide continues to accumulate faster each decade. At Mauna Loa the average annual increase rose from 0.88 ppm per year in the 1960s to 2.41 in 2010–2020 and 2.63 over 2015–2025. The 2025 annual mean was 427.35 ppm, 2.74 ppm above 2024, after a 3.53 ppm rise from 2023 to 2024.2,15

Computed here from NOAA Mauna Loa annual means

Carbon dioxide is accumulating faster each decade

1960s1970s1980s1990s2000s2010s2015–250123Mauna Loa CO₂ growth, ppm per year0.881.311.571.532.042.412.63
Average annual growth in the Mauna Loa annual-mean CO₂ concentration over each period, from endpoint differences. The last bar overlaps the previous one.15

Water, ice and the sea retain the history of stress

WMO’s September 2026 water assessment reports a continuing decline in global freshwater storage and widespread glacier loss, with about 1,400 gigatonnes of glacier mass lost over 2023–2025. Groundwater, snow and glaciers each carry water across seasons, so their depletion sets a worse starting position for the next dry period. Local water security still turns on withdrawals, storage, catchment conditions and management.16

Satellite altimetry shows global mean sea level rising 111 mm from 1993 to 2023, with the rate increasing from about 2.1 mm per year at the start of the record to about 4.5 mm per year at its end. Continuing that trajectory adds about 169 mm over the next three decades, comparable to mid-range IPCC projections. Ocean and ice-sheet responses commit further rise over centuries.11,17

The Planetary Health Check 2026 finds seven of nine planetary boundaries transgressed: climate change, biosphere integrity, land-system change, freshwater, nutrient cycles, novel entities and ocean acidification. The boundaries are assessed guardrails for Earth-system processes, so seven of those processes now operate outside the range considered safe.18

Coral reefs show why exposure, damage and recovery are separate measurements. NOAA reports that about 84% of the world’s coral reef area experienced bleaching-level heat stress between early 2023 and mid-2025, and its June 2026 assessment concludes that the fourth global bleaching event likely ended in mid-2025. The end of an event marks the end of widespread heat stress; recovery of the injured reef communities is a separate and slower process.19

A documented severe outcome

After the 2023 marine heatwave, a study of Florida’s Coral Reef found 97.8–100% mortality among the monitored Acropora palmata and Acropora cervicornis colonies in the Florida Keys and Dry Tortugas, and 37.9% mortality offshore southeast Florida. The authors conclude that these two reef-building corals are now functionally extinct on Florida’s Coral Reef.20 A heatwave striking an intact reef, a full reservoir or a rested workforce is a different event from the same heatwave striking a depleted one. The relevant reserve is the function that remains when the next hazard arrives.

Climate now registers in Earth’s rotation

Melting ice moves mass from the poles toward the equator, increasing Earth’s oblateness and lengthening the day. Reconstructions of surface mass change since 1900 put the climate-induced trend in length of day between 0.3 and 1.0 milliseconds per century through the twentieth century and 1.33 ± 0.03 ms per century since 2000. Under high-emission scenarios it may reach 2.62 ± 0.79 ms per century by 2100, overtaking lunar tidal friction as the largest single contributor to long-term change.21 The effect is tiny for daily life and large as a fingerprint: surface climate change now shows up in planetary geodesy alongside the core and the Moon.

Circulation: a contested tipping element

The Atlantic Meridional Overturning Circulation illustrates a mechanism whose direction is agreed and whose threshold is not. A physics-based early-warning analysis in a state-of-the-art model reports the circulation to be on a tipping course.22 An analysis of 34 climate models under extreme greenhouse and freshwater forcing finds it weakened but sustained by Southern Ocean upwelling in every case, concluding that a twenty-first-century collapse is unlikely.23 Both findings are model-based. The disagreement concerns whether models capture the stabilizing and destabilizing pathways, which observations alone cannot yet settle.

? Unresolved  A collapse of the Atlantic overturning circulation this century.

Long-lived damage leaves further warming in human hands

Global surface temperature responds differently from the slow components: once CO₂ emissions reach zero, the model comparison finds a central multidecadal temperature commitment near zero, with spread across models. Continued long-lived damage and the ability to halt further warming are both true at once.17,24 For infrastructure, this separates two tasks. Existing exposure requires protection and recovery capability now. Future forcing sets the burden those protections will face.

Adequacy in normal conditions is different from endurance under stress

Before summer 2026, NERC assessed anticipated resources as adequate for normal peak conditions in every North American bulk-power assessment area, while identifying elevated risks in selected areas under more extreme conditions. That was a prospective adequacy assessment, rather than a record of every local outage.25 Its longer-horizon assessment found resource-adequacy challenges in 13 of 23 areas over 2026–2035, under the demand and resource plans supplied to it. NERC also records later demand revisions and accelerated resource programmes that can improve the outlook. The risk is a changing balance of demand, usable supply and timely investment—not a uniform decline in every region.26

A2Magnetic baselines, geometry & core dynamicsEight comparisons, dipole rates, pole motion, spectral structure, field-line interpretation, LLSVPs and core coupling.
2Field trajectoryYears to centuries

The field is changing shape, not simply weakening everywhere.

Earth’s main magnetic field is generated by motion in its liquid outer core. Swarm observations show different regional trends: weakening over parts of the South Atlantic and Canada, strengthening over Siberia and evolving structure southwest of Africa. A single global strength value cannot capture these changes.27,28

Explore the magnetic map in Chapter 02 ↑

Total field strength at Earth’s surface from IGRF-14 at five-year epochs, 1900–2025, with the 2030 field extrapolated from the model’s 2025–2030 secular variation. The area below 32,000 nT grows from 8.9% of the surface in 1900 to 21.1% in 2025, while the minimum falls from 25,462 to 22,094 nT and moves west from about 37°W to 60°W. Colours show field strength, not radiation dose.1,2,29

Four-epoch comparison plate: 1900, 1945, 1985 and 2025
Four world maps of surface magnetic field strength for 1900, 1945, 1985 and 2025, with the weak region over South America and the South Atlantic enlarging and moving west.
Total field strength at Earth’s surface from IGRF-14 in 1900, 1945, 1985 and 2025. The gold line marks 32,000 nT. Minima of 25,462, 24,762, 23,372 and 22,094 nT; area below 32,000 nT of 8.9%, 11.3%, 17.2% and 21.1%. Values are calculated from the published coefficients.1,29

Computed trajectory / IGRF-14

Less dipole strength, more weak-field area—but no common acceleration

05101520257.67.88.08.28.4Surface below 32,000 nT (%)Dipole moment (10²² A m²)1900: dipole 8.321 × 10²² A m²; area 8.9%1905: dipole 8.301 × 10²² A m²; area 9.0%1910: dipole 8.272 × 10²² A m²; area 9.0%1915: dipole 8.235 × 10²² A m²; area 9.2%1920: dipole 8.196 × 10²² A m²; area 9.4%1925: dipole 8.160 × 10²² A m²; area 9.7%1930: dipole 8.129 × 10²² A m²; area 10.1%1935: dipole 8.106 × 10²² A m²; area 10.4%1940: dipole 8.091 × 10²² A m²; area 10.8%1945: dipole 8.075 × 10²² A m²; area 11.3%1950: dipole 8.065 × 10²² A m²; area 12.2%1955: dipole 8.051 × 10²² A m²; area 12.8%1960: dipole 8.028 × 10²² A m²; area 13.7%1965: dipole 8.005 × 10²² A m²; area 14.5%1970: dipole 7.973 × 10²² A m²; area 15.2%1975: dipole 7.939 × 10²² A m²; area 15.9%1980: dipole 7.907 × 10²² A m²; area 16.5%1985: dipole 7.871 × 10²² A m²; area 17.2%1990: dipole 7.841 × 10²² A m²; area 17.8%1995: dipole 7.814 × 10²² A m²; area 18.2%2000: dipole 7.790 × 10²² A m²; area 18.8%2005: dipole 7.767 × 10²² A m²; area 19.2%2010: dipole 7.746 × 10²² A m²; area 19.6%2015: dipole 7.724 × 10²² A m²; area 20.1%2020: dipole 7.708 × 10²² A m²; area 20.5%2025: dipole 7.690 × 10²² A m²; area 21.1%19001950200020252030 SV
A trajectory is a vector

Field strength, regional extent, pole speed and geometric offset can move at different rates.

Position is not velocity. A larger anomaly can coexist with an easing dipole decline.

Velocity is not destination. Continuing along the recent tangent is an extrapolation, not a dynamo forecast.

Compare the five-year rates ↓
Each point combines two quantities from the same five-year epoch: dipole moment and the share of Earth below 32,000 nT. The dashed extension is IGRF-14 secular variation to 2030. This selected contour is a geometric diagnostic, not a universal boundary of hazardous radiation.1,2

The dipole is declining, and the decline has eased

The dipole moment—the strength of the field’s dominant, bar-magnet-like part—fell from 8.32 to 7.69 × 10²² A m² between 1900 and 2025, a decline of 7.6%, or 6.1% per century on average. The rate has not been constant. In five-year steps it peaked near 9.2% per century around 1915–1920 and again near 8.7% around 1980–1985; since 2015 it has run at 4.1–4.7% per century, and IGRF-14’s secular variation implies about 5.3% for 2025–2030.1,2

Computed here from IGRF-14 coefficients

Dipole moment and its rate of decline

190019101920193019401950196019701980199020002010202020307.67.88.08.28.4Dipole moment, 10²² A m²2030: IGRF secular-variation extrapolation
19001910192019301940195019601970198019902000201020202030−10%−8%−6%−4%−2%0%Decline rate, % per century (5-year steps)
Upper panel: dipole moment from the Schmidt-normalized degree-one coefficients at each IGRF-14 epoch, with the 2030 value from the model’s secular variation (hollow point, dashed). Lower panel: the decline over each five-year step, expressed as a percentage per century; the hollow bar is the 2025–2030 extrapolation.1,2

The Holocene comparison is larger—and the denominator must be named

A 1900 baseline measures the instrument-era change. It does not measure the retreat from the strongest part of the Holocene. In GGF100k, the sampled Holocene high is 9.824 × 10²² A m²; the strongest 1,000-year average is 9.603. Against the 2025 total dipole of 7.690, those differences are −21.7% and −19.9%. The strongest 500- and 2,000-year averages give −21.0% and −18.3%. Selecting a sustained high is a meaningful answer to “maximum average,” but the averaging interval is part of the definition.92

Computed comparison / explicit reference states

One present-day value. Several valid baselines.

1900 instrumental referenceInstrumental-model epoch
8.32-7.6% today
Strongest 1,000-year meanSame long-term reconstruction
9.60-19.9% today
Sampled Holocene peakSame long-term reconstruction
9.82-21.7% today
Published high-dipole referenceSeparate published model reference
11.64-33.9% today
Vertical marker: 2025 total dipole, 7.690. All bars start at zero; common maximum 12.
Percentages are (7.690 / reference − 1) × 100. The 11.64 bar is a published simulation reference associated with a higher Holocene reconstruction, not an upper confidence limit of GGF100k. These comparisons must not be presented as a 20–34% statistical uncertainty interval.92,94

Ebihara and colleagues used 11.64 × 10²² A m² as their strong-dipole experiment: 1.5 times their standard 7.76, linked in their discussion to the Holocene maximum about 2,650 years ago reported by Knudsen and colleagues. Today’s total dipole is 33.9% below that input. This supports a substantially larger high-to-present comparison than 7.6%, but it is not a newly measured maximum, a Holocene-wide mean, or a maximum millennium average.94,93

Explore the Holocene reconstruction in Chapter 02 ↑

The plotted GGF100k reconstruction is sampled every 200 years and rounded to 0.001 × 10²² A m². The record ends at 0 BP = 1950; the modern line is a separate 2025 reference, not a measured continuation between those dates. The selected millennium spans approximately 2.25–1.25 ka BP. Smoothing, calibration, geographic sampling and age uncertainty limit how precisely the high can be located.92,51

Strength, energy and stand-off distance have different percentages. Relative to 11.64, the 2025 total dipole retains 66.1% of the moment. Squaring that ratio gives 43.6%, or a 56.4% reduction in an idealized dipole magnetic-energy scaling at fixed geometry—not 56.4% less biological shielding. A simple dipole pressure-balance model at unchanged solar-wind pressure gives a characteristic radius proportional to M1/3, hence about 12.9% smaller. These are transformations under stated assumptions; neither predicts ground dose or grid damage.92,94

All eight baselines, including the means that are not maxima
Reference10²² A m²2025 changeDefinition
100,000-year mean6.827+12.6%GGF100k; 0–100 ka BP
Holocene mean8.098-5.0%GGF100k; selected within 0–11.7 ka BP
1900 instrumental reference8.321-7.6%IGRF-14; total dipole
Strongest 2,000-year mean9.417-18.3%GGF100k; selected within 0–11.7 ka BP
Strongest 1,000-year mean9.603-19.9%GGF100k; selected within 0–11.7 ka BP
Strongest 500-year mean9.736-21.0%GGF100k; selected within 0–11.7 ka BP
Sampled Holocene peak9.824-21.7%GGF100k; selected within 0–11.7 ka BP
Published high-dipole reference11.640-33.9%Ebihara et al.; high-state model input, not a moving mean

The Holocene-wide mean of the same reconstruction is 8.098; today’s dipole is 5.0% below that mean. The 100,000-year mean is 6.827, making today 12.6% higher. A high-to-present loss, a mean-relative anomaly and a present rate of change are three different facts. Choosing only the least dramatic or only the most dramatic denominator would conceal that structure.92

Newer reconstructions also challenge confidence in any single Holocene curve. Nilsson and colleagues’ 2024 joint reconstruction argues that hemispheric data imbalance has biased some dipole estimates low and that stronger Holocene fields can explain part of the slow cosmogenic-isotope variation often attributed to the Sun. That makes the baseline question more important—not settled by one smoothed series. The same result also weakens the independence of a supposed solar cycle inferred after an incorrect geomagnetic correction.95

Two published analyses frame what the decline does and does not imply. A stochastic model of the axial dipole built from two million years of paleomagnetic data finds the current rate of decline unusual but within natural variability.30 A follow-up shows that the historical trend would reverse the field in under 2,000 years if sustained, and that sustaining it that long is highly unlikely given how trends of that length vary in the paleomagnetic record.31

Supported The decline can be produced by natural geomagnetic variability. This is a statement about mechanism, not a guarantee of stability or harmless exposure.30,98

Reweighting toward smaller scales

GeoPhasix tracks one part of the reorganization with the ratio of quadrupole to dipole degree power, R₂/R₁. The ratio grew 1.948-fold between 1945 and 2025 and about 2.75-fold since 1900. The Spectral Migration Index, SMI = ln(R₂/R₁), expresses that relative weighting on a logarithmic scale.29

Most of the degree-two growth has a simple geometric meaning: the best-fitting dipole is moving away from Earth’s centre. This equivalent eccentric dipole sat about 407 km from the centre in 1945 and 609 km in August 2026. It is moving faster than in earlier periods of this record, at about 2.8 km per year since 2020 against 1.75 km per year over 1900–1950. This is a mathematical description of field geometry, not a physical displacement of the core or the planet’s centre of mass. The dipole remains the dominant component.29

Reconstruction: IGRF-14 and CHAOS-8.7

Two descriptions of the same change

Stacked area chart of degree-two power relative to the dipole since 1900, and a line chart of eccentric-dipole displacement rising to 609 kilometres.
Panel a: degree-two power relative to the dipole in the dipole’s own frame, divided into the part that offsets the dipole across its axis, the part that offsets it along its axis, and a non-offset twist. Panel b: the equivalent eccentric-dipole displacement from IGRF-14 (1900–2025) and CHAOS-8.7 (1997–August 2026). Both panels describe the same coefficients.29

The rate of reweighting fluctuates even as the displacement accelerates. Its highest five-year values came in the late 1970s and its satellite-era peak around 2013; over January 2025–August 2026 it stood at about 0.0075 per year, slightly below its 1945–2025 average. The recent easing comes mainly from the non-offset twist turning negative, while the offset part, which carries the displacement, still supplies most of the growth.29

Reconstruction: IGRF-14 and CHAOS-8.7

The reweighting rate fluctuates and has eased recently

Bar chart of the five-year SMI rate since 1900, and stacked bars dividing the satellite-era rate into its components.
Panel a: SMI rate in five-year steps from IGRF-14, with a centred five-year CHAOS-8.7 slope and the January 2025–August 2026 value; the dashed line marks the published 1945–2025 mean. Panel b: the CHAOS-8.7 rate divided into the offset part of degree two, dipole decay and the non-offset twist.29

The north pole surged toward Siberia, then braked

The north dip pole—where the field points straight down—moved slowly around northern Canada for centuries. NOAA’s annual positions, from the gufm1 historical model and IGRF, put its speed under 15 km per year for most of the record, rising sharply after 1990 to a peak near 58 km per year around 2010, then slowing every year since to about 37 km per year by 2024. The British Geological Survey describes the deceleration from about 50 to 35 km per year as the largest it has observed.2,32,33

Computed here from NOAA pole positions

Four centuries of north dip pole motion

1590190019502000202590°NCanadaSiberia
160017001800190020000102030405060Pole speed, km per year58 km/yr, 201037 km/yr, 2024
Left: annual north dip pole positions 1590–2025 on a polar map centred on the geographic pole; line width and opacity scale with speed. Right: great-circle distance between successive annual positions. Positions before 1900 come from the gufm1 historical model and are smoother than modern ones. IGRF-14 at five-year epochs gives the same pattern: about 57 km per year over 2000–2005 and 33 km per year implied for 2025–2030.1,2,32

Satellite-era analyses attribute the surge to a change in the pattern of magnetic flux at the core surface: a lobe of strong flux beneath Canada elongated and weakened while a Siberian lobe strengthened, shifting the balance of the tug between them.34 The south dip pole has moved far less, at 3–9 km per year since 1985 in IGRF-14. Pole motion and dipole decline are different measurements of the same core flow, and they need not accelerate together.

A second weak-field feature reaches about 250 km

The August 2026 reconstruction contains a secondary surface minimum of about 23,304 nT. Followed upward, it remains a distinct minimum to about 249 km, where it merges with a neighbouring saddle point. Above that height the field has a single minimum, including at the 450 km altitude of many low-orbit spacecraft.29

The merger has the form of a generic minimum–saddle fold: near the merging height, the strength difference between minimum and saddle shrinks as the three-halves power of the remaining distance. The feature’s reach is climbing about 12 km per year, slower than its mid-2010s peak, and its estimated height shifts by roughly ten kilometres with the model’s spatial resolution.29 Its operational meaning runs through particle transport. Radiation changes can appear before a second minimum reaches a spacecraft’s altitude, and a new minimum adds a second dose maximum only where particles populate it.35,36

The core runs on several clocks at once

Satellite data now resolve interannual structure in the core itself. Recurrent non-axisymmetric flow patterns with periods of about seven years have been identified as magneto-Coriolis waves, with related activity in bands centred near 3.5 and 15 years.37,38 The arrival of such wave energy at the core surface accounts for many features of interannual field change, including the sharp changes in secular variation known as geomagnetic jerks; slower fluctuations of a planetary-scale gyre account for decadal changes in the length of day.39

Deeper still, repeating earthquakes recorded between 1991 and 2023 show that the solid inner core began to rotate more slowly than the mantle around 2010, backtracking relative to the surface for the first time in decades. The authors attribute the change to coupling with the outer core’s flow and to gravitational pull from dense mantle regions; its effect on day length is of order a thousandth of a second.40

✓ Supported The inner core’s motion relative to the mantle changes. ? Unresolved A particular inner-core change as the cause of the modern South Atlantic trajectory. The emerging coupling research below distinguishes modeled pathways from that larger attribution.

The layers interact. They do not share one clock.

Some connections are direct physics: mantle heat extraction helps drive core convection; conducting fluid generates the magnetic field; angular momentum moves between the core, mantle and surface fluids. Other connections are hypotheses about which process drives a particular observed oscillation. Those are different levels of knowledge. The same word—reversal—can describe a regional flow changing direction, the inner core changing its motion relative to the mantle, or a global magnetic polarity transition. Only the last is a geomagnetic reversal.39,40,41

Explore the mechanism atlas in Chapter 03 ↑

Mechanistic schematic, not a measured network. Arrow direction identifies a physical pathway; it does not quantify its strength or imply synchronized change across all layers. Sources and the limits of each connection appear in the selected pathway.7,10,39,42,43,44,45

A regional flow reversal is not a polarity reversal

Madsen and colleagues infer core-surface flow from magnetic observations spanning 1997–2025. Beneath the equatorial Pacific, their reconstruction changes from weakly westward to strongly eastward around 2010, then weakens after 2020. They propose a connection with contemporaneous inner-core behaviour; the timing motivates that hypothesis but does not establish it. This is evidence of reorganizing flow within a working dynamo—not an observation of the magnetic poles exchanging global polarity.41

1997–2025Observation window

Magnetic secular variation constrains an inverse model of flow.

≈2010Westward → eastward

The regional equatorial-Pacific flow changes direction.

After 2020Eastward flow weakens

A second change in the inferred trajectory, not continued acceleration.

A separate September 2026 study by Zhang and Dumberry reconstructs the torques associated with multidecadal changes in day length. Its observation-constrained model favours gravitational coupling between the inner core and mantle as the driver, with electromagnetic and topographic torques generally resisting the variation. The result depends on the inferred inner-core rotation and core-flow histories. It strengthens a specific deep-Earth coupling explanation; it does not establish an impending excursion or a driver of modern warming.42

The six-year connection is a serious question—with an unresolved mechanism

Cazenave and colleagues review an approximately six-year band in core magnetism, Earth rotation and several climate-related records, including atmospheric angular momentum, sea level and hydrology. The day-length component is of order 0.1 milliseconds, and the reported period varies with the record rather than behaving like a precise metronome. They regard the pattern as a substantive research problem while leaving its system-wide origin unresolved.46

For interpretation, matching spectral peaks is a starting point. A shared-driver explanation must also reproduce spatial pattern, phase, amplitude and a viable transfer of energy or angular momentum. A band-pass filter makes a selected band visible; it does not identify the cause. Neither the presence of a six-year mode nor a multidecadal torque cycle supplies a countdown to a millennial-scale excursion.

Climate already changes rotation—without moving the magnetic pole

Redistributing ice and water changes the planet’s mass distribution. A 2024 model attribution assigns about 90% of the interannual and multidecadal variation in rotational polar motion to surface mass redistribution, while mantle processes dominate the long-term drift. This concerns the rotation axis relative to the crust, not the north magnetic pole that travels kilometres per year. Feedback involving core dynamics is a proposed component of the attribution, not a demonstrated explanation for the South Atlantic Anomaly.43

Past weak-field states ended in different ways

Historical and paleomagnetic reconstructions contain SAA-like structures that did not progress into excursions or reversals. A 9,000-year reconstruction links such anomalies to millennial dipole variation and proposes the asymmetric field around 600 BCE as an analogue. Its suggested disappearance of the modern SAA within a few centuries is an analogue-based projection, not a validated recovery timetable; newer ensemble reconstructions limit confidence in the ancient comparison.47,48,49,96

Qualified SAA-like structures have historical analogues, but the modern anomaly is more pronounced in one newer model comparison. Neither its precise uniqueness nor a reversal already in progress is established. 96,49

The modern field’s trajectory is therefore read from its own evolution. Resemblance to a weak-field configuration leaves the endpoint open, and the consequences are measured as exposure: where particles concentrate and where induced currents flow.

The South Atlantic may retain a mantle imprint without remaining continuously weak

A 2024 study of Trindade volcanic directions and regional paleomagnetic records finds persistent strong non-dipole behaviour in the South Atlantic over the past ten million years. It supports a long-lived influence of heterogeneous conditions at the core–mantle boundary. But directional non-dipole structure is not the same observable as low field intensity: normal and reversed flux patches can both increase directional dispersion. The evidence favours a persistent regional preference, not an uninterrupted modern-style anomaly or a short-term reversal clock.50

That distinction allows two ideas to coexist: mantle structure may shape where anomalies preferentially develop, while faster core flow determines their evolution and disappearance. A long-lived geographical influence does not force a monotonic decline at the surface.39,50

LLSVPs and jerks are relevant—but they are not independent countdowns

The large low-shear-velocity provinces, or LLSVPs, are deep-mantle structures beneath Africa and the Pacific identified seismically. They can influence the thermal boundary conditions above the liquid core. A persistent boundary pattern can organize much faster flows and waves; a slow mantle does not require every magnetic response to be slow. But seismic structure is not a direct measurement of current core–mantle heat flux, nor of a newly crossed dynamo threshold.39,50,99

Rogers, Beggan and Whaler’s 2025 analysis finds substantial regional secular-variation structure associated with LLVP regions, but no systematic suppression of secular variation beneath them. It is useful evidence against treating the structures as simple magnetic dead zones. It does not turn their existence into a date for field collapse. The relevant question is whether a changing boundary condition or core response is independently observed, rather than whether a persistent structure exists.99

A geomagnetic jerk is an abrupt change in secular acceleration: the slope of the field’s rate of change changes. Aubert and Finlay reproduced jerks through fast hydromagnetic wave packets focusing near the core surface. This supplies a mechanism for sharp, localized magnetic changes without a global polarity transition. A jerk can still matter for model forecasts and field geometry; its presence alone does not diagnose excursion onset.100

The recent evidence also limits an overly confident recovery story. ArchKalmag8k, published in 2026, finds the modern SAA more pronounced than the selected ancient anomalies in its comparison, with wide uncertainty and very different configurations among early ensemble members. Its results do not establish uninterrupted modern-style anomalies sweeping around the planet. The older suggestion that the SAA could fade within a few centuries remains an analogue-based possibility—not a scheduled recovery, and not something on which to base reassurance.96,49

Mechanism schematic / not a measured causal network

Shared observations are not separate votes for a precipice

Deep mantleBoundary heterogeneity
→
Core dynamicsFlow, induction and waves
→
Magnetic observationsDipole, SAA, poles and jerks
→
ExposureParticle access and operations
The arrows show plausible physical organization, not calibrated gains. Several magnetic indicators are derived from the same observations and field coefficients. Their agreement can be informative about geometry without multiplying the evidence as if each were independent. LLSVP structure constrains the setting; it is not a separate dated onset signal.39,100,99

Shorter-looking intervals need a consistent clock and a complete catalogue

Core-wave bands, jerk dates, excursion ages, solar-cycle phases and a star’s Galactic trajectory do not measure the same process. The core studies discussed above identify multiple bands, while the six-year rotation–climate connection remains an open coupling problem. Selecting a run of shorter gaps from a mixed catalogue can manufacture apparent acceleration. A changing detection threshold can do the same when newer observations resolve events that older records miss.37,38,46

A defensible contraction claim must survive one event definition, one detection procedure, uncertainty in ages, regional versus global classification, the changing observation window and a suitable non-periodic comparison. Periods discovered after trying many bands need a multiple-testing correction. The next interval must then be forecast before it is observed. This assessment does not derive a contraction law from the small list of named excursions, or a near-term hazard multiplier from increasingly detailed satellite observations.

A3Excursions, reversals & deep-time comparisonModel-dependent minima, event chronologies, polarity cadence, contested consequences and separate solar-event populations.
3Deep timeMillennia to tens of millions of years

A weakening field is not yet a timed excursion.

Excursions show what profound magnetic reorganization can look like. The useful comparison is not only with the deepest minimum, but also with the preceding trajectory, its persistence, and the field’s geometry. A long-term average cannot settle the onset question.

Below Holocene highs, above the 100,000-year mean

GGF100k provides a long reconstructed context, not a universal normal state. Its displayed time series averages 6.827 × 10²² A m² over 100,000 years, while the 2025 total dipole is 7.690. The Holocene-high comparisons above are appreciably less reassuring than that mean-relative statement. Both belong in the assessment. A present value far above the deepest Laschamps minimum does not, on its own, rule out an early trajectory toward a weak-field interval.92,51

What would “onset conditions” actually mean?

There is published support for asking this question quantitatively. Knudsen and colleagues suggested an empirical dipole level near 4 × 10²² A m² below which excursions and reversals occur in their reconstruction. That is not a universal bifurcation boundary. Their quantity is an axial dipole estimate; the matching 2025 IGRF axial moment is 7.591, derived from g₁⁰, rather than the total dipole’s 7.690. The present axial value is about 1.90 times that proposed level and would have to fall a further 47.3% to reach it. This comparison gives scale, not a waiting time. The proposed level does not identify the earliest precursor, and remaining above it is not an all-clear signal.93,118

State

How far below a high?

About one-fifth below a sustained GGF100k high; about one-third below the separate 11.64 reference. This describes history, not a failure boundary.

Classification

What counts as an event?

A threshold can define an excursion in an analysis without identifying the first physical onset of the instability.

Prediction

What warning works?

A warning threshold needs tests on both transitions and recoveries, with a specified lead time and false-alarm rate.

Gwirtz and colleagues make the distinction explicit: their low-dipole event begins below 10% of the long-term mean and ends above 80%; the optimized warning threshold is a different quantity. Forecast skill varies across dynamo models and paleomagnetic reconstructions. Neither 10%, 80%, nor a percentage lost from the Holocene maximum can be borrowed as a ready-made countdown for today.97

The strongest warning would not be “today already looks like the Laschamps minimum.” It would be persistent global dipole erosion accompanied by spatial reorganization that demonstrably approaches a pre-transition state. The strongest counterexample is substantial weakening followed by recovery. Buffett’s 2024 analysis treats ordinary variation, excursions and reversals as potentially different expressions of shared dynamics: how long a trend persists matters. A natural origin does not make an extreme outcome impossible; a short natural trend does not establish its continuation.98

Being closer in amplitude is not the same as being close in time. The high-to-present comparison increases the measured loss. It does not supply the missing dynamical boundary, present distance to that boundary, or conditional transition probability. Those must be estimated using matched spatial resolution, age uncertainty and non-transition controls—not only an attractive overlay with one past event.

Reconstruction: GGF100k and LSMOD.2, evaluated here

100,000 years of dipole moment

10090807060504030201000246810Thousands of years before 1950Dipole moment, 10²² A m²Mono LakeLaschamps2025: 7.69100-kyr mean: 6.83LSMOD.2 minimum 0.39 at 40.95 ka
GGF100k (global, smoothed)LSMOD.2 (Laschamps–Mono Lake, 50–30 ka)Excursion windows
The GGF100k line is displayed at 200-year sampling; the earlier underlying model evaluation used finer steps. The Holocene means above use the displayed series. LSMOD.2 resolves a deeper Laschamps minimum than GGF100k; model resolution is not itself a proof of accuracy.92,51,52

What an excursion looks like

The Laschamps excursion, about 41,000 years ago, is the best-documented weak-field event. In LSMOD.2 it is governed mainly by axial dipole decay and recovery: the axial dipole falls almost to zero but does not reverse. The underlying process lasts about 5,000 years, from 43 to 38 thousand years ago, and its surface expression about 2,000 years. The following Mono Lake interval may contain several excursions between 36 and 30 thousand years ago, with dipole and non-dipole power at the core surface becoming comparable. This is a description of that model, not a rule that every reconstruction must share.52

Evaluating LSMOD.2 directly reproduces that behaviour. Its axial dipole coefficient never changes sign over 49.9–30.05 thousand years ago, and its dipole moment bottoms out at 0.39 × 10²² A m², about a twentieth of today’s. At that minimum the model’s average surface field is about 8,800 nT against about 42,200 nT for the 2025 field truncated to the same resolution, and the whole surface lies below 32,000 nT, against 21% today.2,52 A space-plasma reconstruction of the same epoch puts the field near 10% of modern values, with dipole weakening and tilting over about 300 years, and shows auroral regions and open field lines expanding and wandering toward low latitudes.53

✓ Supported  During a global excursion, auroral and open-field-line exposure extends toward low latitudes.

The depth of an excursion depends on how the record is resolved

GGFSS70 reconstructs 15–70 thousand years ago from nine selected high-resolution sediment records. It places the Laschamps dipole minimum at 0.12 × 10²² A m² around 40.97 ka, and includes a roughly 300-year reversal of the axial dipole between 41.25 and 40.93 ka. LSMOD.2 does not reverse that coefficient. The models agree on a profound weak-field episode, but not on every detail of its deepest state.52,54

Published reconstructions / different resolving power

One event, three reconstructed minima

Modern referenceIGRF-14 · 2025
7.69reference
GGF100kLaschamps minimum · 40.85 ka
2.4732.1% of modern
LSMOD.2Laschamps minimum · 40.95 ka
0.3865.0% of modern
GGFSS70Published minimum · 40.97 ka
0.1201.6% of modern
GGF100k and LSMOD.2 values are evaluated from the published model series and coefficients; GGFSS70’s minimum is transcribed from its paper. These are model outputs, not three independent measurements or a confidence interval. Age control, record selection, calibration and temporal smoothing affect the result.2,51,52,54

GGFSS70 also reports dipole minima of 1.87 at 64.87 ka for the Norwegian–Greenland Sea event and 3.30 at 34.47 ka for Mono Lake/Auckland. Even within one reconstruction, named excursions need not reach the same depth. A single “excursion-strength field” is therefore an incomplete input to an exposure calculation.54

Transition duration

How long the change lasts

Laschamps weak-field and directional expressions span different intervals in different models. Duration is not the time between events.

Recurrence interval

How far apart events occur

Excursions and full reversals are different event classes. Their catalogues are incomplete and their rates are not universal constants.

Warning lead time

How early a forecast works

Neither a past transition duration nor an average interval establishes a validated warning time for the present field.

How often, and how fast

Excursions occur at paleointensity minima and last a few thousand years or less. About seven are well documented and age-calibrated in the present Brunhes chron; reviews list more candidates, and some appear only regionally.51,55,56 North Atlantic sediments record four late-Brunhes excursions in the intervals 32–34, 39–41, 180–188 and 205–225 thousand years ago, associated with the Mono Lake, Laschamps, Iceland Basin and Pringle Falls events.57 Gaps between documented excursions range from several thousand years to several hundred thousand.

Observation: dated excursion records

Named excursions of the present normal chron

8007006005004003002001000Thousands of years agoMatuyamaMono LakeLaschampsBlakeIceland BasinPringle FallsBig Lost
Approximate age ranges of named excursions since the last reversal 773,000 years ago. Ranges combine sediment and volcanic dating and differ between archives; Pringle Falls and Big Lost carry the largest age uncertainty.52,55,57,58

Directional change during these events can be very rapid. Comparing geodynamo simulations with a 100,000-year field model, one study finds maximum rates of directional change near 10° per year, typically while field strength is falling—almost a hundred times faster than current changes. The clearest observed example is about 2.5° per year some 39,000 years ago.59

Intensity rates are harder to compare. The modern dipole decline, about 0.5 × 10²² A m² per century averaged since 1900, is close to the steepest decline in LSMOD.2 (0.60 per century, near 41.1 thousand years ago) and above the steepest in GGF100k (0.47). Both paleomagnetic models smooth rapid change, so their rates are resolution-dependent smoothed estimates and the comparison with instrumental data is not like for like.2 The published stochastic assessment, which accounts for that variability, finds the modern rate within natural variation.30

Reversals: rare, slow, and irregular in rate

The last full reversal, from the Matuyama to the Brunhes chron, is dated at 773,000 years ago in the 2020 Geologic Time Scale.58 A synthesis of lava flows, ocean sediments and Antarctic ice cores finds that it took at least 22,000 years to complete, with a final directional reversal of under 4,000 years preceded by a long interval of instability.60

The polarity record shows that reversal frequency itself changes over tens of millions of years. Counting the boundaries in GTS2020 gives under one reversal per million years just after the Cretaceous Normal Superchron ended 83 million years ago, rising to about 4.4–4.8 per million years over the last 20 million. Over the last 10 million years the mean polarity interval is about 196,000 years and the median 132,000.2,58

Computed here from the GTS2020 polarity timescale

Eighty-three million years of reversals

8070605040302010002468Millions of years ago (GTS2020)Reversals per million years, 5-Myr windowsPolarity: normal dark, reversed lightLast reversal, 773,000 years ago
Reversal count in a sliding five-million-year window from the GTS2020 chron boundaries, with the polarity sequence below (normal dark, reversed light). The record begins at the end of the Cretaceous Normal Superchron, a single normal interval of tens of millions of years.2,58

The present chron, at 773,000 years, is longer than 46 of the 47 earlier complete polarity intervals of the last ten million years. That makes it unusual, not demonstrably overdue. Those intervals are irregular, reversal rates change through geological time, and a fitted interval distribution does not by itself establish a memoryless process or a future hazard rate.2,58 A published stochastic assessment conditioned on a present axial dipole of 7.6 × 10²² A m² gives under 2% probability of being in the reversed state after 20,000 years and 11% after 50,000 years. Those are results of that paleomagnetic model, not a universal clock.30

✕ Not supported  The field is about to reverse.

Claimed consequences of weak-field intervals

A weaker field admits more cosmic radiation to the atmosphere, raising the production of cosmogenic isotopes such as beryllium-10, which is how ice cores record the Matuyama–Brunhes reversal.60 Beyond that well-established chain, several larger claims remain contested. One study links the Laschamps excursion to a global environmental crisis about 42,000 years ago, including atmospheric ozone changes and megafaunal and human effects; the paper drew a published critique in the same journal.61,62 The space-plasma reconstruction notes that ochre use, tailored clothing and cave occupation appear in regions its model places under the expanded auroral zone, and presents that as a fresh perspective rather than a demonstrated cause.53

? Unresolved  The Laschamps excursion caused a global environmental crisis or shaped Neanderthal and human outcomes.

A separate claim connects the field and the Sun to modern climate through cosmic rays seeding clouds. CERN chamber experiments establish ion-enhanced particle nucleation, but cloud-relevant changes also depend on particle growth and survival. The evaluated solar-cycle effect on cloud condensation nuclei is small; independent aerosol modelling finds a response about two orders of magnitude too small to explain the cloud changes at issue. That constrains a proposed explanation of present warming without denying the underlying ionization chemistry.63,64

✕ Not supported  Changes in the geomagnetic field or cosmic-ray flux are a significant driver of present warming.

Standing of claims about the field and its co-factors
ClaimStandingBasis
The dipole is declining and the weak-field region is growing✓ SupportedIGRF-14 and Swarm; reproduced here from the coefficients.1,2,27
The decline lies within natural paleomagnetic variability✓ SupportedStochastic model of two million years of dipole data.30
A reversal is imminent✕ Not supportedUnder 2% in the opposite-polarity target state after 20,000 years in a specified stochastic model; not an excursion-onset probability. Some SAA-like states recover without reversal.30,47,49
The South Atlantic Anomaly is unprecedented✕ Not supportedRecurrent analogues over 9,000 years; not linked to excursion initiation.48,49
Excursions bring directional changes far faster than today’s✓ SupportedSimulations matched to a 100,000-year model; an observed 2.5° per year event.59
Weak-field intervals expand auroral exposure toward low latitudes✓ SupportedSpace-plasma reconstruction of the Laschamps field.53
The Laschamps excursion drove a global environmental crisis? UnresolvedPublished claim and published critique.61,62
The field or cosmic rays drive present warming✕ Not supportedIon-enhanced nucleation occurs, but the evaluated cloud-relevant response is too small for the proposed modern-warming explanation.63,64
Climate change is altering Earth’s rotation✓ SupportedSurface mass redistribution explains the accelerating oblateness trend.21

Four records of “extreme activity” are not four estimates of the same risk

Occurrence rates only become comparable after defining the event, the observing window and the detection threshold. A magnetic storm, a particle shower and a radiocarbon spike overlap in their solar origins, but they are not interchangeable outcomes.

01

Geomagnetic storm

Kp / Dst / SYM-H

A disturbance of Earth’s magnetic environment. Each index samples different structure and cadence.

Time-normalized Kp record ↓
02

Ground-level enhancement

Energetic particles

A particle event energetic enough to appear in ground neutron-monitor observations.

65
03

Cosmogenic isotope event

Production + archive

A dated anomaly filtered through atmospheric transport, carbon cycling and the sampled archive.

66
04

Stellar superflare

Radiated energy

An electromagnetic outburst on a selected star. Earth-directed particle fluence is another quantity.

67

In 67 ground-level enhancements, Owens and colleagues found occurrence approximately four times more likely around solar maximum than minimum, with additional cycle structure. Their result does not turn the post-maximum Kp pattern into a particle-event forecast. The severe event definition—and not simply the word “solar”—determines the relevant cadence.65

For radiocarbon, Usoskin, Miyake and Golubenko show that background solar modulation and carbon-cycle response can imitate or obscure smaller candidate events. In their model, events below roughly 0.5–0.7 of the specified reference cannot be robustly identified without knowing the background. That reference is 100 times the 20 January 2005 particle event; it is not the 1956 event used in the flight-dose example below. An archive’s apparent gaps therefore cannot automatically be read as physically quiet centuries.66

At the stellar scale, Vasilyev and colleagues identified 2,889 superflares on 2,527 of 56,450 Sun-like stars, above 10³⁴ erg. Their approximate once-per-century population recurrence is important evidence about energetic stellar behaviour. It is not a once-per-century forecast for an Earth-directed solar particle event, still less for a catastrophic geomagnetic storm: stellar selection, radiated energy, particle acceleration and Earth interception intervene.67

A4Solar forcing, transport & atmospheric responseKp cadence, storm indices, satellite exposure, particle balance, weak-field scenarios and ionospheric conductance.
4Space weather and exposureHours to solar cycles

A magnetic map becomes a risk estimate through a physical pathway—and the Sun sets the cadence.

The South Atlantic Anomaly is an established hazard for spacecraft crossing its radiation environment. Ground grids face a different route: rapid external magnetic variations induce geoelectric fields, which drive currents through particular conducting networks. Each pathway has its own calculation, and each is triggered on the solar cycle’s schedule.6,68

Three pathways from the space environment to consequence
PathwayRelevant quantitiesConsequence to measure
Trapped radiation in low orbitField geometry, particle energy and direction, sources, atmospheric losses, orbit and shielding.36Detector counts, dose, component events and lost mission service.
Transient space-weather forcing of a gridLocal disturbance waveform, ground conductivity, line geometry, transformer response and operating state.6,69Equipment stress, voltage response, interrupted service and restoration.
Changing upper atmosphereNeutral density, spacecraft altitude, drag, debris population and orbit management.70Residence time and collision exposure, separate from particle dose.

The storm record has a season and a phase

GFZ’s planetary Kp index runs continuously from 1932. Counting days whose maximum three-hour Kp reaches 8− or higher, and treating severe days separated by no more than one quiet day as a single storm, the record to 1 October 2026 holds 278 severe storms, 68 of which reached Kp 9− or higher.2,71 About 46% begin in March, April, September or October. About 32% are followed by another severe storm within 30 days, compared with about 30% in the season-and-cycle comparison. That particular comparison explains most of the observed follow-on fraction; it is not a test of every possible source of event dependence.71

Computed here from GFZ Kp and sunspot records

Ninety-four years of severe geomagnetic storms

19401960198020002020024681012Severe storms per year (Kp ≥ 8−)Cycle 17Cycle 18Cycle 19Cycle 20Cycle 21Cycle 22Cycle 23Cycle 24Cycle 250100200300Sunspot number198920032024
Severe storms (severe days within one quiet day merged)Annual mean sunspot number (right scale)
Severe storms per year by start date, with the annual mean international sunspot number. Alternate shading marks solar cycles 17–25, bounded by the smoothed sunspot minima. Storms are days with maximum Kp ≥ 8−, merged when separated by at most one quiet day; 2026 runs to 1 October.2,71,72

Computed here

Season and solar-cycle phase of severe storms

a Month of onset, 1932–2026
JFMAMJJASOND01020304050Storms
b Onset relative to the smoothed sunspot maximum, cycles 17–24
−4−20+2+4+6010203040Years from smoothed sunspot maximumStorms
Panel a: storms by calendar month of onset; equinoctial months in rust. Panel b: storms in complete cycles 17–24 by years from each cycle’s 13-month smoothed sunspot maximum; 182 of 263 (69%) began after the maximum.2,71,72

Cycle 25’s 13-month smoothed sunspot number peaked at 160.9 in October 2024.72 By 1 October 2026 it had produced 13 severe episodes, four reaching Kp 9− or above: May and October 2024, November 2025 and January 2026. That is fewer than cycles 17–23 had at the same elapsed cycle time (18–45) and more than cycle 24, which had six. Six of cycle 25’s 13 occurred after maximum. These are observed counts, not a prediction of how the rest of the cycle will unfold.2,71

The declining phase is not a guarantee of quiet. The follow-on analysis did not detect a material excess beyond its season-and-cycle comparison. That result is specific to its event definition and null model, not proof that solar storms never cluster through additional processes.71

The declining phase is longer. Count the years as well as the storms.

Across completed solar cycles 17–24, 69.2% of severe storm onsets occurred after maximum—but that phase occupied 62.5% of the observed time. Dividing by duration gives 3.38 storms per year after maximum against 2.51 before: a pooled rate ratio of 1.35, not the 2.25 ratio of raw counts. Only four of the eight cycles have a higher post-maximum annual rate.3

Explore the storm-rate comparison in Chapter 04 ↑

Episodes begin on a day reaching Kp ≥ 8−; severe days separated by at most one quiet day remain one episode. The extreme subset contains those episodes reaching Kp ≥ 9−. A phase boundary is the first day of the month of the 13-month smoothed maximum. The interval is an illustrative 20,000-resample cycle-bootstrap interval, not a forecast or a model of independent storm arrivals.3,71,72

The result becomes less pronounced for the Kp ≥ 9− subset: 0.78 versus 0.68 episodes per year, a pooled ratio of 1.14. Resampling whole cycles gives broad 95% intervals—0.96–2.37 for severe storms and 0.66–2.91 for the extreme subset—both spanning equal rates. With only eight cycles and substantial between-cycle variation, the useful conclusion is continued exposure after maximum, not a universal post-maximum escalation.3

The May 2024 storm as a reference event

The storm of 10–11 May 2024, the Gannon storm, reached a Dst minimum of −412 nT, the seventh largest by Dst since 1957, and a one-minute SYM-H peak of −518 nT, the second largest since 1981 after March 1989. Its integrated recovery-phase disturbance exceeded those of the 1989 and 2003 storms.73 The heated, expanded thermosphere accelerated orbital decay: one tracked Starlink satellite reached reentry about eleven days earlier than predicted before the storm, according to a preprint that has not been peer reviewed.74 The storm also tested grid operations, which the recovery analysis examines.

Geometry and particle flux move independently

A six-year CSES study finds a double-peaked distribution for 2–10 MeV protons and a single peak at 10–20 MeV. Its proton-defined SAA area shrank by about 6.1% over 2019–2024, while studies of the magnetic field document a growing weak-field area over a different period. Different energies, thresholds and observables draw different boundaries, so a magnetic footprint can grow while a particle footprint contracts.28,35

Field-line tracing turns the map into an orbital screen. In the internal-field calculation, the zone whose minimum mirror altitude stays above 200 km covers 7.6% of the 450 km shell in 1950 and 6.2% in August 2026, a contraction of about a fifth, drifting west while the surface weak-field area grows. Truncating the field at degree two makes this screening zone about 2.6 times larger. The result identifies sensitivity to detailed geometry; the 200 km threshold is a screening convention, and particle lifetime and dose require transport and atmospheric-loss calculations.29,36

Reconstruction: internal field, traced here

The long-lived zone at 450 km has contracted

Map of minimum mirror altitude for particles mirroring at 450 kilometres, and a line chart of the geometric screening zone, with specified altitude thresholds, declining since 1950.
Panel a: lowest mirror altitude on the drift path for particles mirroring at 450 km, August 2026, with the 200 km contour for 1950, 2000 and August 2026. Panel b: share of the 450 km shell where that altitude stays above 150, 200 and 300 km, for the full internal field and, as diamonds, for the field truncated at degree two. Internal field without drift-shell splitting; particle flux, lifetime and dose follow from transport modelling.29

The particle signal combines source and loss

Trapped-particle populations follow a balance, dN/dt = Q − νN: the population N changes through its source Q and loss rate ν. With the source fixed, slower loss raises the steady population. A record of N alone cannot separate the two, because any admissible loss history pairs with the source Q = dN/dt + νN.75

An exact construction makes this concrete: the same 11-year, ±5% population cycle arises from reference loss times of one year and ten years, each with a positive source and a positive loss rate. Particle lifetimes are identified from independent information, such as several energy and pitch-angle channels, measured injections or direct loss measurements, rather than from the amplitude or lag of the solar-cycle response.75

Climate change also reaches orbit through the upper atmosphere. Greenhouse-gas-driven cooling contracts the thermosphere and reduces drag, so debris stays in orbit longer; modelling finds substantial losses of sustainable satellite carrying capacity under specified emissions scenarios. Storms act the other way on short timescales, heating and expanding the thermosphere and raising drag for days.70

Weak-field exposure is a geography, not one global multiplier

A 2026 Laschamps reconstruction traces particle access through the full non-dipole field, then calculates atmospheric radiation. The modeled area with cutoff rigidity below 1 gigavolt grows from 13.6% for 2020 to a maximum 48.3% at 41,050 years before present. Lower cutoff admits lower-rigidity particles, but route, altitude, spectrum and field geometry still determine exposure.44

Explore the radiation scenarios in Chapter 04 ↑

Exact values from Figures 7–8; modern and ancient fields are run under matched scenario assumptions. The event is a hypothetical replay of the 23 February 1956 ground-level enhancement, not a Laschamps observation or a present aviation forecast. Background and event views use different units and scales: 1 mSv = 1,000 μSv.44

Three layers of protection—and different ways to lose margin

I

Magnetic access

Trajectory and rigidity determine which charged particles reach a location. Geometry matters alongside global dipole strength.44

II

Atmospheric mass

Altitude sets how much air remains overhead. Secondary-particle radiation aloft is not ground-level ultraviolet exposure.44

III

Atmospheric chemistry

Particle ionization can alter nitrogen chemistry and ozone, changing the ultraviolet that reaches the surface.45

Arsenović and colleagues model an extreme solar particle event under several magnetic conditions. In the no-geomagnetic-field boundary case, they obtain a 20–25% increase in UV index and a 40–50% increase in a solar-induced DNA-damage proxy, with elevated surface UV lasting up to six years. These are modeled relative changes in a deliberately extreme scenario; the biological weighting is not a measured increase in disease, and no field is not today’s field—or the full structured Laschamps field.45

Particle injectionIonization / reactive nitrogenOzone responseSurface UV

The important co-factor is the conjunction: magnetic configuration × particle spectrum × atmospheric response. It can produce a prolonged consequence from a short forcing event. It does not show that an excursion caused a specific extinction, that a modern anomaly is equivalent to a missing field, or that particle effects explain the present warming trend.

Ground impacts can now be traced from physics to economic exposure

A September 2026 U.S. study couples geoelectric forcing, grid assets, transformer thermal vulnerability and economic activity. Its 250-year-return-period scenario affects about 5.1 million people and causes about US$1.81 billion in daily economic loss, with a conditional 95% interval of US$1.65–1.96 billion.69 The study ends where this assessment continues. Restoration duration, grid reconfiguration and backup at critical facilities lie outside its calculation, so its daily figure becomes a total only through a restoration trajectory, the subject of the recovery and continuity analyses.

A larger solar-event envelope does not require an imminent magnetic reversal

The prehistoric record expands the severity envelope beyond the satellite era. Golubenko and colleagues’ 2025 chemistry–climate reconstruction of the 12350 BC radiocarbon spike estimates an extreme solar particle event 18 ± 11% stronger than AD 775. A nearly doubled radiocarbon spike did not imply a doubled particle event: glacial atmospheric and carbon-cycle conditions changed the recorded response. Event dating and inferred particle strength are not equivalent to a prediction of the next event.114

The current cycle is already past its smoothed sunspot maximum: SILSO identifies October 2024, at 161. A separate SIDC analysis of cycles 21–24 finds strong X5+ flares concentrated in some post-maximum years, including the equal-duration bin represented by May 2026–April 2027 in cycle 25. This is relevant to continued vigilance. It measures soft-X-ray flare timing—not the rate of Earth-directed ejecta, ground-level particles or grid-damaging storms. The exposure-normalized Kp analysis above therefore remains a separate result.115,116

The physical branches can move in opposite directions: solar magnetic activity modulates incoming galactic cosmic rays while flares and ejecta create their own radiation and magnetic disturbances. A quieter phase in one channel need not quiet another. Event spectrum, magnetic connection to Earth, arrival direction and duration matter more than a single generic label of “solar energy.”44,65,66

A weaker field can intensify currents despite receiving less energy

Ebihara and colleagues’ MHD experiments show why ionospheric conductivity is a consequential co-factor. Lowering the model dipole from 7.76 to 5.17 made the peak westward-electrojet proxy about 24% stronger with their conductivity scaling—but about 20% weaker without that scaling. The model excludes quadrupole structure and simplifies precipitation physics. This is a response calculation, not a measured modern trend or an outage forecast.94

The important inference is that reduced field strength need not mean reduced electrical disturbance simply because a smaller magnetosphere intercepts less energy. A changed coupling can move a particular response in the other direction. An infrastructure operating limit can therefore be crossed without Earth’s dynamo approaching a reversal threshold.

A5The interstellar and astrophysical evidenceWarm clouds, cold-cloud experiments, iron-60, supernova material, bursts, Galactic-centre hypotheses and attribution limits.
4ABeyond the SunObservations, mechanisms and conditional scenarios

A changing Galactic environment can matter. The encounter conditions decide how.

Published research contains consequential mechanisms and new evidence of changing interstellar material influx. It does not show that today’s local environment is the extreme cold-cloud regime used in the strongest simulations.

The outer shield responds to its surroundings

The heliosphere is the solar-wind cavity in the interstellar medium. Its size and particle filtering depend on the external gas, magnetic environment and the Sun’s own outflow. Opher’s 2026 review treats changing Galactic surroundings as a potentially important environmental influence over geological time. Repeated encounters are physically credible; recurrence on million-year scales is not a phase-locked millennial clock, and neither establishes a 2026 arrival date.117

Physical pathways / schematic, not to scale

An external change must pass through several different filters

Interstellar mediumGas, dust, fields and energetic particles
→
HeliosphereModulation, compression and acceleration
→
MagnetosphereEnergy- and direction-dependent access
→
AtmosphereParticle cascades and ozone chemistry
Different branch: energetic photons can perturb the atmosphere without following the charged-particle magnetic-access route.
A stronger external spectrum, a weaker geomagnetic field and a changed atmosphere can interact. They are not interchangeable forms of “shield loss.” Ground dose, aviation dose, ozone change and grid induction require different response calculations.103,44,45,113,6

The recent interstellar environment is not perfectly constant

A May 2026 Antarctic-ice study provides direct material evidence. Koll and colleagues measured supernova-derived iron-60 in 295 kg of ice spanning 40–81 thousand years ago. The inferred deposition, 0.22+0.14−0.12 atoms cm⁻² yr⁻¹, is lower than recent Antarctic-snow and younger sediment estimates, supporting a change in the interstellar material encountered by the Solar System. The paper summarizes a possible exit from the Local Interstellar Cloud within the next 2,000–6,000 years and discusses possible mixing with the G-cloud at our current location. This is a changing-influx result, not a measurement of an ongoing cosmic-ray surge or a new nearby supernova.107

The local-cloud geometry is itself under discussion. Linsky and Redfield review competing descriptions of nearby warm gas, including discrete clouds and continuous structure. A boundary can alter the heliosphere, but “near a cloud boundary” does not specify its density contrast, crossing date, thickness or radiation effect. Those are the quantities needed to distinguish a modest environmental change from a severe compression.108

Published environments / do not substitute one for the other

The nearby warm gas is not the modeled dense cold cloud

Local warm-cloud description0.1–0.2particles cm⁻³

Approximately 5,000–10,000 K. A diffuse local environment discussed in the iron-60 study.

Severe cold-cloud experiment3,000hydrogen atoms cm⁻³

20 K, with a relative speed of 14.1 km s⁻¹. An assumed past-encounter condition.

The density contrast is orders of magnitude, not a small adjustment to a common present-day measurement. The precise definitions differ across environments; the comparison separates regimes rather than computing a present hazard ratio.107,102

Vannier and colleagues’ 2025 Hubble/STIS study strengthens the case for local environmental variability. Eight sight lines along the Sun’s historical trajectory reveal small-scale structure and support changing density in its recent past and near future. The authors discuss a possible present LIC/G-cloud interface and an estimated LIC exit in less than about 3,000 years. They detect no cold, dense material along their observed sight lines. That non-detection is spatially limited, not a complete census of every nearby cloud.119

A cold-cloud encounter could transform exposure dramatically

Opher, Loeb and Peek’s 2024 simulation asks what happens if the Sun meets a cold, dense cloud of the specified type. It places the upwind heliopause at about 0.22 ± 0.01 AU, inside Earth’s 1-AU orbit, for a proposed encounter 2–3 million years ago. This is a serious physical mechanism for losing much of the heliosphere’s usual filtering. In that calculation the interstellar magnetic field is neglected because gas ram pressure dominates: calling the result a demonstrated “Galactic magnetic pulse” would misidentify the driver.102

The 2026 extension adds particle acceleration, not only reduced filtering. In its compressed-heliosphere scenarios, Opher and colleagues obtain heliospheric energetic particles with sub-10-MeV proton intensities at least an order of magnitude above extreme modern solar-particle events, with exposure lasting months along relevant orbital segments. Outside the compressed cavity, sub-GeV galactic protons are also enhanced. These are conditional spectra outside Earth’s magnetosphere, not a calculated tenfold increase in surface dose. Their atmospheric significance depends on energy, geographic access and duration.103

The past-event attribution is actively contested. In April 2026, Koll and colleagues argued that cosmogenic nuclides do not show the prolonged large cosmic-ray increase expected from a strong 2–3-million-year-ago exposure. Opher and colleagues replied that encounter duration, density structure and latitude-dependent isotope production can change what survives in the geological record. The disagreement is about a testable physical history—not a reason to treat the mechanism as either established history or impossible.104,105

Preprint / conditional calculation

The unresolved combined case

Nica and colleagues’ August 2026 preprint estimates roughly ninefold and threefold global beryllium-10 production in selected 0.2-AU and 0.7-AU heliopause scenarios. It holds Earth’s dipole near its modern strength and omits atmospheric/oceanic mixing from that production calculation. The useful next comparison is a joint reconstruction: compressed-heliosphere spectra × structured weak geomagnetic field × atmospheric transport. Multiplying these production ratios by a dipole-loss percentage would not solve that problem.106

Other astronomical messengers must retain their own histories

The 2026 iron–plutonium–curium study separates supernova-material delivery from older r-process material: the iron-60 and plutonium-244 profiles are not simply correlated. A 2025 marine beryllium-10 anomaly near 10 million years ago admits production and ocean-transport explanations. Neither record independently supplies a recurring near-term catastrophe date. Deposited dust, cosmogenic production and a burst of radiation are different observables, with different transport and dating filters.109,110

There are also published Galactic-centre hypotheses. LaViolette’s 1987 paper proposes cosmic-ray volleys and dust-related environmental consequences; its existence should not be erased from an exploratory assessment. Establishing a present episode would require a source history, propagation model and independently dated terrestrial signatures that distinguish it from solar modulation, geomagnetic change and archive effects. The primary abstract examined here does not supply a calibrated current-arrival forecast.112

Likewise, the observed oscillation of the Radcliffe Wave concerns the motion of a large Galactic gas structure, not detection of a coherent electromagnetic front approaching Earth. A spatial pattern becomes an exposure history only after calculating the Sun’s path, the structure’s evolution and their encounter uncertainty.111

Direct astronomical effects on Earth are demonstrable. Piersanti and colleagues linked the 9 October 2022 gamma-ray burst GRB 221009A to an upper-ionospheric electric-field perturbation. That is evidence for an atmospheric response to a distant event. It is not evidence that such a pulse penetrated to the core or triggered a geomagnetic excursion. Photons, charged particles and interstellar dust cannot be merged into one mechanism merely because all originate beyond Earth.113

A6Periodicity, thresholds & the influence registerAll twenty published bands, the fourteen-path evidence map and the tests required for a useful warning.
4BClocks & thresholdsObservations, mechanisms and conditional scenarios

A pattern is a starting point. A warning must survive a predictive test.

The strongest case is built by connecting causes, state and consequences—not by counting how many unusual-looking records can be placed on the same page.

Published millennial cycles deserve evaluation—not automatic attribution

Beer and colleagues’ 2025 analysis identifies persistent bands in a 145,000-year Antarctic beryllium-10 record and reports close period agreement between its first and last approximately 70,000 years. The authors describe 17 new solar-activity cycles, but explicitly leave potential geomagnetic origins unresolved because paleomagnetic reconstructions disagree. Their separation of production from archive effects is essential: a period in an isotope record is not necessarily a period in external radiation.101

Published classification / years per cycle

Twenty beryllium-10 bands, three different interpretations

Production only

18,0126,5085,7823,833

Production + archive

15,50313,8378,4417,7227,1364,6954,5564,1103,9613,2923,1042,0251,680

Archive / system only

23,97121,10111,637

The paper’s classifications are retained. The 11,637-year band is classified as an archive/system effect, not a production-only signal. These spectral periods are not observed gaps between planetary disasters, nor an independently validated date for the next transition. No new spectral fit is performed here.101

Nilsson and colleagues’ 2024 joint reconstruction illustrates why attribution can change: hemispheric geomagnetic evolution alters polar cosmic-ray proxies differently, and the approximately 2,400-year Hallstatt signal can be strongly affected by that separation. This does not settle every longer band in the 2025 analysis. It does mean that solar histories corrected with a field model cannot then be treated as wholly independent evidence confirming that same magnetic history.95

Three claims that require three different tests

Oscillation

Does a band persist?

Require robust frequency and phase under alternative age models, detrending and independent records. A narrow spectral peak is not enough.

Driver

What produces it?

Require the correct geographic fingerprint and transfer mechanism, not only a similar period in another signal.

Forecast

Does it predict a transition?

Require a frozen event rule, prospective timing tolerance, misses and false alarms. Recurrence is not a forecast until tested that way.

The same caution applies to “timing contraction.” A changing period, an increasing number of detected events, and a falling time-to-failure are different hypotheses. A convincing case would predict the next interval and the affected observables before seeing them. Mixing a millennial cosmogenic band with year-scale core waves and day-scale solar disturbances does not perform that test.

A weak perturbation can tip a nonlinear system—but only through a coupling

Rejecting every weak external driver because it cannot supply the whole energy of a transition would be too crude. A perturbation can trigger the release of internally stored energy, shift a near-threshold system, or synchronize an existing oscillator. The opposite shortcut is equally unsound: invoking “resonance” or “tipping” does not establish that a particular forcing couples efficiently to the core, ocean or atmosphere.

A useful evaluation identifies the affected state variable, the coupling, its gain and phase, the relevant relaxation time, and the boundary separating recovery from transition. It then asks whether observations constrain those quantities today. An external-to-core proposal needs an induction or torque pathway through the intervening layers; an external-to-ozone proposal needs particle spectra and chemistry. Demonstrating the second does not establish the first. Surface calm cannot prove a deep system is safe; an unseen threshold cannot prove it is near.

The influence map: where each factor earns its place

These pathways are not equally established, equally severe or independent. The map separates measured conditions, conditional response calculations and unresolved attribution. It is an evidence map, not a summed risk score.

14 pathways shown

InfluenceWhat it supportsWhat it does not establishDiscriminating evidence
Holocene dipole retreatReconstructed stateSubstantial decline from sustained highs; instrumental decline is the shorter comparison.A larger percentage alone does not time onset.Matched modern and paleo ensembles, including recoveries.92,93
SAA, offset and non-dipole structureObserved / modeled geometryRegional magnetic access and field representation are changing.Related outputs from the same coefficients are not independent alarms.Energy-, altitude- and orbit-resolved exposure.29,96
LLSVPs and core boundary conditionsMechanism; timing unresolvedDeep-mantle heterogeneity can organize the dynamo boundary.No newly crossed boundary is established by seismic structure alone.Independent heat-flux/flow constraints and dynamo response.99,50
Jerks and core-wave bandsObserved; modeled mechanismRapid secular-acceleration changes and localized waves are credible.No validated monotonic interval contraction or common onset clock.Uniform global/regional event catalogue and held-out timing tests.100,37,38
Rotation, inner core and surface massCoupling; attribution incompleteAngular-momentum exchange and mass redistribution are real pathways.Magnetic-pole motion is not rotational polar motion.Torque budgets, spatial fingerprints and phase consistency.43,42,46
Solar flares, ejecta and energetic particlesObserved and paleo-inferredDifferent event populations retain severe tails beyond the modern record.X-ray counts, Kp and isotope fluence are not interchangeable.Separate occurrence, Earth connection, spectra and duration.114,116,65
Weak field with extreme particle forcingConditional transport / chemistryGeographic redistribution and prolonged atmospheric effects can be important.Zero-field limits are not today’s SAA; no single global dose multiplier.Joint structured-field and atmospheric calculations.44,45
Local interstellar material and warm cloudsMeasured material; interpretationIron-60 supplies evidence of a changing encountered environment.Material influx does not diagnose a current cold-cloud compression.Gas/field properties, cloud trajectory and isotope consistency.107,108
Cold-cloud compression and HEPsSevere modeled branchCompression can reduce filtering and add accelerated particles.Past attribution is contested; present encounter conditions not established.Joint spectra, cloud duration, geomagnetic access and archives.102,103,104,105
Supernovae, bursts and Galactic-centre pulsesMixed observations / hypothesesAstrophysical material and atmospheric burst responses exist.No single current pulse or common recurrence is established.Messenger-specific travel times and independent source constraints.109,113,112
Millennial bands and orbital contextSpectral observations; attributionPublished cycles and moving Galactic structures merit testing.Periodicity does not establish a synchronized planetary hazard.Phase stability, chronology ensembles and prospective predictions.101,95,111
Climate, oceans, water and ecosystemsObserved pressure; scenario thresholdsChanged thermal and ecological conditions can erode recovery margins.These risks neither require nor establish a magnetic trigger.Forcing-specific observations; distinguish warming, variability and feedbacks.9,16,22,23
Conductivity, grid topology and satellite orbitsExposure and system responseLocation and operations shape consequences of a given external disturbance.Dipole loss does not convert directly to grid losses or satellite failures.Local dB/dt, conductivity, orbital transport and operating state.6,36,70,88
Compound interruption and recoveryObserved outcomes; conditional modelsOne shock can remove both normal supply and the means to replace it.A global reserve count is not timely local protection.Matched site-level failure, repair and replenishment histories.4,7,75

The most consequential combination is an interaction, not a pile of percentages

Consider a strong energetic-particle spectrum meeting a geographically altered magnetic field and a vulnerable atmospheric state. That can be more consequential than changing any one factor alone. At the same time, a high-latitude route already open to a particle population can change little while lower latitudes change much more. The route-specific weak-field results above demonstrate why “global shielding down by X%” is an inadequate exposure model.44

Response(location, altitude, time) ≈ Σspecies ∫ external spectrum × magnetic access × atmospheric response d(energy) d(direction)Conceptual factorization, not a calibrated calculation. Duration, magnetic geometry, particle species and response units must be specified. UV chemistry and geomagnetically induced currents require their own dynamical models.

The proposed compressed-heliosphere/weak-geomagnetic-field combination is therefore worth explicit calculation. Its conditional severity cannot substitute for evidence that the Solar System is currently entering the required cloud. Separately, an extreme solar event can create a major operational shock under today’s field. It does not need a reversal, an interstellar encounter or a planetary synchronization to matter.103,106,45,6

The serious interpretation is asymmetric. The baseline correction increases the long-term magnetic decline that must be acknowledged. New space-environment work enlarges the set of physically plausible severe scenarios. Neither supplies a calibrated imminent global tipping probability. Present exposure, potential conditional severity and event timing must remain three separate conclusions.

A7Recovery, continuity & experimental modelsInteractive repair dynamics, autonomy pairings, delivery timing, hurricane measurements, shared capacity and total harm.
5Recovery dependenciesDays to months

Repair slows when the infrastructure that enables it is damaged.

Recovery coupling is the dependence of one system’s restoration on another system’s condition. Roads enable access. Electricity supports communications and pumping. Fuel and spares support repair. A dependency can set the pace of restoration even when it played no part in the initial failure.

During Tropical Storm Imelda in 2019, more than 95% of outages farther than 30 km from flooded roads were repaired within ten hours, while 40% of those within 5 km remained unrepaired after ten hours. Spatial and prior-period controls point to localized impairment from flooded access rather than a uniform shortage across the service area.7

The mechanism produces three distinct conditions: a busy but recoverable repair queue; a queue whose effective capacity declines as damage accumulates; and a system that recovers but misses the deadlines of the services it supports.

Nominal capacity can conceal a shrinking recovery margin

A minimal model shows the second condition. Let B be unfinished repair work, a the continuing arrival of new work and c nominal repair capacity. Let b set how quickly throughput rises when work is available, and K the backlog at which damaged support begins to constrain throughput:

dB/dt = a − R(B),  R(B) = c · B/(B + b) · 1/(1 + B/K)

The last factor expresses damage-dependent impairment of repair. Without it, throughput rises toward c; with it, effective throughput peaks and then falls. When incoming work stays below that peak, the model has a stable low backlog and an upper recovery boundary, beyond which repair cannot catch up under unchanged conditions.75

Model, interactive

Nominal repair capacity is not usable capacity

Repair completed per day against unfinished work, with b = 10 in arbitrary work units. Where the curve crosses the line of continuing damage, the lower crossing is the stable backlog and the upper crossing the recovery boundary. The presets reproduce the published cases: nominal support, a 20% loss of capacity, a doubled support scale and an independent channel of 10 units per day.75

With a = 8, c = 20, b = 10 and K = 100, the stable backlog is 7.55 work units and the recovery boundary 132.45. A 20% loss of capacity moves the boundary to 77.02 and cuts the margin between equilibrium and boundary from 124.90 to 64.03 work units: a 20% loss of capacity removes 49% of the margin.75

Disturbances also interact through their timing. A 100-unit work shock alone is recoverable, and so is a 30-day reduction of capacity from 20 to 16. Together they leave about 151 units of unfinished work when the impairment ends, above the original boundary, so restoring ordinary capacity no longer reverses the trajectory. Extra crews or protected support during days 30–90 do.75

Model

The combined disturbance changes the recovery trajectory

03060901201501800100200300400500Days after the shockUnfinished repair work, BCapacity impairedAdded support available151 units at day 30
Shock and impairment, no added supportShock alonePlus 20% extra crews, days 30–90Plus protected support, days 30–90Shock and impairment, repair feedback removed
A 100-unit work shock starting from the stable backlog, with a 30-day, 20% capacity impairment, and added support from day 30 to day 90. Removing the repair feedback removes the runaway. Integrated here with a 0.02-day step; unfinished work is in arbitrary units.75

The severe implication is direct. Recovery becomes harder when recovery itself loses support. Where that feedback operates, protecting access, communications, fuel and repair logistics changes the course of the emergency, not merely its initial damage.

6The continuity gapHours to days

A service can fail long before its system becomes unrecoverable.

A hospital, water system or cooling centre needs continuity over a specific interval; eventual recovery does not provide it.

In Louisiana after Hurricane Ida, a published assessment counts about 35 million customer-hours of simultaneous power outage and heat exposure above an outdoor heat index of 37.8°C (100°F). A separate three-city simulation found that multiday blackouts during heatwaves more than doubled modeled heat-related mortality rates in Atlanta, Detroit and Phoenix.76,77

Restoration time and backup endurance have to be paired

Let T be time until normal service returns and A the usable autonomy of a substitute. Under full substitute service until A, followed by full restoration at T, uncovered time is:

D = max(T − A, 0)The continuity margin is A − T.

Usable autonomy reflects actual load, equipment condition and available replenishment. Nameplate energy alone does not specify it; intermittent service and repeated refuelling require a time-resolved service trajectory. In a four-site example, restoration times and autonomies are both 1, 2, 4 and 8 days. Each averages 3.75 days under every arrangement. Changing only the pairing moves mean uncovered service from zero to 2.25 days per site, and the share with any gap from zero to 75%.75

Exact example, enumerated here

Backup totals do not determine continuity

0.00.51.01.52.02.53.0Mean days without service after backup runs out, per siteMatched0.00 days, 0% of sites interruptedIndependent, average of 241.44 days, 37.5% of sites interruptedCyclic mismatch1.75 days, 75% of sites interruptedOpposite2.25 days, 50% of sites interrupted
Four equally weighted sites with restoration times and backup autonomies of 1, 2, 4 and 8 days; only the pairing changes. The independent case is the exact average over all 24 assignments.75

The arrangement that interrupts the most sites differs from the one that loses the most time: cyclic mismatch interrupts three of four sites for an average of 1.75 days, opposite pairing two of four for 2.25 days. Counting failures and integrating their duration answer different questions.

When the pairing is unknown, let FA(t) be the fraction whose autonomy has run out by time t, and FT(t) the fraction restored by then. The sharp bounds on mean uncovered duration are:

∫ max[FA(t) − FT(t), 0] dt  ≤  E[D]  ≤  ∫ min[FA(t), 1 − FT(t)] dt

Matching equal quantiles attains the lower bound; matching opposite quantiles attains the upper. A positive lower bound proves a continuity shortfall even under the most favourable arrangement. These bounds apply to a specified population and operating condition with finite mean durations.75,78 A simpler deadline guarantee requires no dependence assumption. At a common deadline d, Pr(T > A) ≤ Pr(A < d) + Pr(T > d). If no more than 2.5% of sites have autonomy below 48 hours and no more than 2.5% take longer than 48 hours to restore, at most 5% have an uncovered interval in this model. This is a design condition, not a probability estimated from the hurricane counts.75

Resupply has a deadline, not just a total

Under uninterrupted operation, usable energy must remain sufficient at every time before restoration. With initial usable energy E₀, cumulative usable deliveries DE(t) and required power p(t), the energy condition is:

E₀ + DE(t) ≥ ∫₀ᵗ p(u) du   for every t < T

In an exact example, a site starts with 24 energy units, uses one per hour and regains normal supply after 48 hours. A 30-unit replenishment at hour 12 preserves service; the same delivery at hour 30 leaves a six-hour interruption. Total supply is 54 units in both cases, exceeding the 48-unit requirement. Delivery timing alone changes continuity. The example assumes adequate storage and discharge power and no other failed dependency.75

Exact example

The same delivery, too late

0612182430364248−80816243240Hours since normal supply was lostEnergy left on the uninterrupted path, units6-hour gapDelivery at hour 12: peak store 42 unitsDelivery at hour 30
30 units delivered at hour 12Same 30 units at hour 30
Energy remaining on the uninterrupted-service path, E₀ + DE(t) − ∫p, for a single 30-unit delivery at hour 12 or hour 30. Where the late path is negative, service must be shed; physical storage stays at zero during the gap and resumes when fuel arrives. Early delivery needs storage for 42 units.75

Fuel inventory, battery capacity and logistics have to be evaluated against the next exhaustion time. If required load rises, the same energy lasts less time. A communication link or pump can also remain unavailable with ample energy when another necessary component is down.

Helene left a long power-related service gap

FCC disaster reports count cell sites off the air by reported cause—power, backhaul transport or physical damage—and, for Helene, sites operating on backup power. Here the power-observed subset means sites reported off for power plus sites operating on backup. Its conditional power-off share is P/(P + B), where P and B are the corresponding counts. Sites classified under transport or damage are outside that denominator, even when they also lack grid power.4,79

On 28 September 2024, roughly a day after landfall, the conditional power-off shares were 89% in western North Carolina, 64% in South Carolina and 62% in Georgia. By 4 October, about a week after landfall, they were 51%, 15% and 18%. The North Carolina share reached 40% on 7 October. These counts show prolonged unmet power needs; a power-coded outage alone does not identify whether backup was absent, exhausted, unable to start or otherwise insufficient.4

Observation: reported category counts

Power-related continuity remained weakest in western North Carolina

a Power-off share of the power-observed subset
2468100%20%40%60%80%100%Days after landfall
Western North Carolina, HeleneGeorgia, HeleneSouth Carolina, HeleneLouisiana, Ida (customer-outage proxy)
b Sites per 100 in each fixed panel
24681001020304050Days after landfall
Western NC, off for powerWestern NC, power-observed (shaded)South Carolina, off for powerSouth Carolina, power-observed (shaded)
Panel a: Helene power-off counts divided by power-off plus backup-operating counts for fixed county panels; the Louisiana Ida curve uses a separately defined customer-outage proxy and does not measure the same population. Panel b: power-observed sites (shaded) and power-off sites (lines) per 100 fixed-panel sites. Trapezoidal integration of panel b over the matched window reproduces the tabulated site-day totals exactly. Neither panel is a complete inventory of sites lacking grid power.4,79,80,81

Access was severely impaired during the same emergency. NCDOT reported about 390 road closures, including more than 60 on primary routes, on 28 September. CRS describes damaged fibre and obstacles to reaching and resupplying cell sites. Those records establish a credible access mechanism alongside the outage pattern. They do not isolate the proportion of the regional contrast caused by roads, fuel, backhaul or the initial intensity of damage.82,83

Exposure reverses the apparent ranking of performance

For the same fixed Helene panels and the same nine elapsed days, the power-off burden separates exactly into two factors. Let Pd be power-caused outage site-days, Gd power-observed site-days, N panel sites and W the observation window:

Pd/(NW) = [Gd/(NW)] × [Pd/Gd]Power-off burden = observed power exposure × conditional uncovered share
Hurricane Helene, 28 September–7 October 2024
Fixed panelObserved power exposureConditional uncovered sharePower-off burdenHours off for power per panel site
Western North Carolina21 counties, 1,452 sites26.3%68.9%18.1%39.1 h
South Carolina46 counties, 7,458 sites10.4%43.0%4.5%9.7 h
Georgia30 counties, 1,450 sites37.1%36.8%13.6%29.5 h

Nine elapsed days, from 09:00 EDT on 28 September to 09:00 EDT on 7 October, sampled at ten daily reports. Site-days are trapezoidal estimates. Hours divide cumulative power-off time by every site in the fixed panel. They exclude separately coded transport and damage outages and do not measure subscriber-hours.4

Georgia’s conditional uncovered share was lower than South Carolina’s—36.8% against 43.0%—but its power-observed exposure was 3.56 times greater. Consequently, its power-off time per panel site was 3.05 times greater. Western North Carolina’s burden was 4.05 times South Carolina’s, combining 2.53 times the exposure with 1.60 times the conditional uncovered share. These are exact decompositions of the reported integrated totals, not estimates of a causal treatment effect.4

Conditional performance and total burden must travel together. A lower failure share during exposure can coexist with more lost service if exposure grows faster. Conversely, a worsening conditional share can coexist with less total lost service when exposure falls.

Ida provides a different, complementary observation

After Ida, Louisiana’s power-caused site outages fell 65.9% between the first report and four days later, while the site-weighted customer outage share fell 21.8%. Power-related wireless availability improved faster than the customer-grid proxy. Over 30 August–14 September 2021, the record contains 3,080 power-caused site-days against 12,733 estimated exposure site-days: a proxy uncovered share of about 24%. Its denominator and 15-day window differ from Helene’s direct category counts.4,80,81

The county rearrangement analysis also constrains the interpretation. Observed totals lie 0.45 and 0.50 of the way between the most and least favourable pairings for Ida and Helene, versus 0.47 and 0.43 under independent pairing. At that resolution, the evidence does not establish strong adverse pairing as the dominant explanation. The large regional differences remain to be explained by matched hazard, access, equipment and restoration records.4,78

Service resilience is therefore the fit between exposure, usable protection and restoration deadlines, for the people and functions that must be sustained under the conditions the hazard itself creates.

7Recovery capabilityDays to months

Independent repair capacity changes what strengthening alone cannot.

Increasing a dependent resource and preserving a resource outside the damaged dependency are different interventions.

In the repair model, any finite increase in c or K leaves dependent throughput falling toward zero at large backlog. Such increases enlarge the recoverable region, and an upper boundary remains. Add a separately supported repair capacity e that shares the low-backlog availability factor but not the damage-dependent support factor:75

Rtotal(B) = B/(B + b) · [c/(1 + B/K) + e]

At large backlog, Rtotal approaches e. If e is maintained above the continuing arrival rate a, the model has a single positive equilibrium and no upper boundary: every finite backlog returns to that equilibrium after an isolated shock, whatever its size. With a = 8, adding e = 10 turns a 500-unit backlog from continued growth into recovery toward 3.76 units. A 20% increase in dependent capacity and a doubled support scale both leave that backlog above their boundaries, where it keeps growing. The interactive model above shows each case through its presets.75

Portable generators, delivered fuel and satellite or microwave backhaul can bypass particular local failures. Their availability still depends on their own supply and access. In a complementary operator account from Beryl, AT&T reported more than 200 generators deployed by 10 July 2024 and more than 98% of its wireless network operating normally by 13 July, while crews continued refuelling. That is one operator’s operational account, not an all-carrier comparison with Helene.83,84

Preserve recovery. Bridge the wait. Secure the supply line.

Repair support changes how and when normal service returns. Service backup changes what happens before that return. Both draw on access, fuel and communications that a single hazard can remove at once, so a complete protection strategy secures the supply line that keeps backup running, alongside the backup itself.

Locally independent support can still be regionally scarce

The independent-channel result requires e to remain available. A crew, generator, fuel tanker or replacement component already committed elsewhere cannot be counted again. Independence from local grid damage is different from independence from regional competition. A two-region allocation makes this exact.75

Exact example, interactive

Reachable work, not aggregate inventory

Each region needs 30 work units by a common deadline. Each has 20 units of local capacity, and a shared pool supplies 30 more. Removing one access edge drops completed work from 60 to 50 although total capacity stays at 70.75

The corresponding feasibility test checks every set of dependent destinations: their required work must fit within the capacity that can actually serve that set before the deadline. Under divisible work, known routes and a common deadline, this is an exact flow-allocation condition. Travel delays, specialist skills and task precedence make the real constraint tighter. A regional reserve total alone cannot pass the test.75

Local protection also has to be coordinated with the network

NERC’s review of a July 2024 Eastern Interconnection disturbance identifies about 1,500 MW of data-centre load transferring away from the grid to backup systems after voltage disturbances. Frequency and voltage rose; operators corrected voltage, and neither rise reached a level posing a reliability risk in that event. Protective behaviour that sustains individual facilities changes the network seen by everyone else, so transfer and reconnection dynamics belong in the resilience assessment.85

Protection has to reach people, not just facilities

A mobility study of 101 cooling centres during Beryl found more visits from census block groups closer to the centres and from lower-income areas. It measured area-level use rather than individual heat dose or avoided deaths. The planning implication is to measure reachable, operating and usable refuge—not simply count designated buildings.86

Stable dynamics can still produce intolerable transients

The same distinction appears without any recovery boundary. In a two-variable linear model, an upstream disturbance decays over ten days and the downstream service relaxes over two days. Quadrupling the directional coupling raises the peak downstream deficit from 6.7% to 26.7% and the cumulative deficit fourfold, while both decay rates stay unchanged. Both systems recover; one inflicts four times the harm on the way.75 Long-run stability and transient amplification are separate properties, and work on stochastic systems likewise separates recovery within a state, escape from it and the observable used to assess either.87

Operational adaptation is an observed counterweight

During the May 2024 Gannon storm, New Zealand used targeted transmission-line disconnections to cut induced currents at key transformers while maintaining supply. A monitored Dunedin transformer peaked at about 113 A, against roughly 200 A modeled without mitigation, and consumers kept their supply through the storm.88 The relevant comparison is the same hazard under different feasible operating states. Heat, unavailable equipment or reduced reserve can constrain a protective configuration; preparation and alternative paths preserve it.

8Measuring the consequenceThe whole interruption

Total harm matters more than whether a compound score rises.

For a defined population, let si(t) be the fraction of essential service delivered and wi(t) the population, demand or consequence weight appropriate to that service.

L = Σi ∫ wi(t) [1 − si(t)] dt

This expression distinguishes a brief outage from a prolonged one and basic function from nominal asset availability. Its units follow the weights. Heat-weighted customer-hours, unserved electricity and loss of communications remain separate outcomes unless an explicit valuation connects them.75,76 A useful compound comparison holds the service, time horizon and operating information fixed. Let L₀ be ordinary loss, LH loss under environmental or repair stress, LS loss under a storm and LHS loss under both. The interaction is:

I = LHS − LH − LS + L₀

A positive value means the joint loss exceeds the sum of the separate increases on the chosen scale. A zero interaction can accompany catastrophic additive losses, and the loss unit matters: unserved megawatt-hours, customer-hours, heat-weighted exposure, repair work and economic cost measure different harms.8,75

Model, computed here

Lower total loss can coexist with a larger interaction

a Interaction as a share of the margin, I ÷ M
0.00.51.01.52.00.00.51.01.52.0Heat-driven demand added, h ÷ MStorm-driven capacity lost, s ÷ MI = 0I = h + s − MI = sI = hI = M, the cap
b More margin can raise I while cutting loss
0.00.51.01.52.00.00.40.81.21.6Starting margin M (hazards fixed at h = s = 0.8)Loss units
Interaction ICombined loss L(heat + storm)
A static reserve-margin model with loss = max(0, demand − capacity). Panel a: the interaction as a share of the margin across heat-driven demand and storm-driven capacity loss, in bands of one-eighth; it is capped at the margin. Panel b: with both hazards fixed, more starting margin raises the interaction while cutting the combined loss. The cap applies to instantaneous shortfall.75

In this simple reserve-margin model, adding reserve can cut the total joint loss while raising the calculated interaction. The interaction compares scenarios; service loss is the objective. A bound on instantaneous shortfall likewise leaves the harm accumulated over a long interruption to be counted on its own.75

Ordinary timing is enough to overlap recoveries

The storm record’s 46% equinoctial share and 32% follow-on rate show that ordinary seasonal and solar-cycle timing is enough to overlap recoveries when restoration is slow.71 The relevant clock is the service’s own: a depleted reservoir, an unrepaired transformer and a short-lived backup supply each run on theirs. The size distribution of repair work per event controls how often a recovery boundary is crossed: thin-tailed and heavy-tailed shocks turn the same loss of margin into very different changes in waiting time. Service risk then turns on how restoration and autonomy pair at the same sites, the exposure during the gap and whether interventions can reach the sites.75

A severe storyline is a conditional sequence

A coherent adverse sequence runs: environmental stress reduces operating reserve; a storm interrupts power or communications; access or repair support is impaired; an essential substitute becomes unavailable before restoration; and heat, water or care-related exposure accumulates. Each link requires a time interval and a mechanism. Helene documents severe access damage alongside prolonged power-related and backhaul outages, establishing the practical relevance of these links without identifying every site’s failure history.4,6,7,83,89 A contained sequence is equally coherent: protective switching limits equipment stress, independent communications and access preserve repair, and backup remains viable until service returns. The difference between the two outcomes lies in the system’s state, its dependencies and the response.

A8Conclusions & detailed outlookDated agency forecasts, conditional arithmetic, scenario branches and observable signposts.
9Conclusions

Recovery has to beat the service deadline.

The larger Holocene comparison is real. So are core reorganization, extreme solar forcing and a changing interstellar setting. The evidence supports interacting hazards; it does not yet establish a common imminent planetary transition.

The climate and ecological findings justify concern directly. Sustained human-induced warming, a doubled energy imbalance, an accelerating rise in sea level, depletion of stored water and catastrophic regional biological losses each stand on their own record. Their relevance is the changed starting condition for the next shock.9,10,11,16,20

The magnetic evidence must be read against more than one baseline. The total dipole is 7.6% below 1900, about 20% below GGF100k’s strongest millennium and 33.9% below a separate published high-state reference. It remains above the same model’s 100,000-year mean. Field geometry is reorganizing, but these amplitude comparisons do not establish excursion onset or a remaining time to reversal. The modern SAA also deserves more caution than a simple promise of analogue-based recovery.92,94,96

External forcing belongs in the assessment on physical terms. Changing interstellar material influx is measured; very strong heliosphere-compression effects are conditional simulations; their past attribution remains contested. A millennial spectral band is not automatically Galactic, and an atmospheric response is not a demonstrated core trigger. These distinctions identify the strongest research opportunities without converting them into a countdown.107,103,104,105,101,113

The space-weather findings concern both cadence and exposure. Severe storms remain possible after solar maximum; after correcting for phase duration, the pooled contrast is modest and varies substantially between cycles. Weak-field simulations also show that particle exposure redistributes geographically rather than increasing by a single global factor. For a modern storm, operational configuration remains part of the outcome.3,44,88

The hurricane evidence separates exposure from protection. During the common Helene observation window, Georgia’s better conditional power continuity coexisted with roughly three times South Carolina’s power-outage burden per site. Western North Carolina’s burden was about four times South Carolina’s. A favourable backup percentage alone does not establish a favourable service outcome.4

Recovery support has to be reachable, timely and jointly feasible. An independent repair channel changes the model’s long-run behaviour when its capacity is maintained. Real channels draw on finite shared resources. Enough fuel at the end of an outage cannot erase a gap before delivery; enough capacity across a region cannot serve an isolated destination.

The complete assessment follows the service from exposure through interruption, substitute operation, replenishment and restoration. It counts successful containment as seriously as failure. It evaluates the work that can be finished and the protection that can be sustained before critical functions are lost.

The danger is not only the shock. It is the gap between losing what matters and making it available again.

10OutlookDated interpretation, 2 October 2026

A harsher operating environment. Uneven capacity to endure it.

The most likely direction is continued warming with recurrent regional service crises—not a single synchronized planetary breakdown, and not a magnetic countdown.

This part interprets the evidence above. Published forecasts keep their issuing agencies, original dates and definitions. Conditional arithmetic continues a stated rate under a stated assumption and is not a forecast. Synthesis judgments carry no calibrated probability, and the scenarios are overlapping conditional branches, not a mutually exclusive probability partition.

△ Published forecastIssued by an agency or study; retained at its issue date.
▭ Conditional arithmeticWhat a stated rate implies if it continues; not an expectation.
✦ Synthesis judgmentThis assessment’s reading of the combined record.

Most systems continue to function. Some places repeatedly run out of protection.

Synthesis judgment

The best-supported overall outlook is a world that keeps operating while asking more of its cooling, water, electricity and recovery systems. Adaptation contains many disruptions. Severe losses concentrate where a damaging event reaches a depleted system, or where essential substitutes fail before repair and resupply arrive. This combines a strong warming signal with demonstrated regional service failures and demonstrated capacity to contain them; the evidence is much stronger about those mechanisms than about the timing of a specific major outage.4,9,88

A storm need not become exceptional in every physical measure to become more harmful: greater heat during the outage, more critical load, inaccessible refuge or slower replenishment can change the outcome.4,76

Late 2026–2027: heat and water preparedness

Published forecast, WMO, 3 September 2026

WMO’s September forecast gives nearly 100% likelihood of El Niño persisting through February 2027 and expects a very strong peak near the end of 2026, a specific near-term reason to prepare for temperature and rainfall disruption into 2027.90 A global ENSO forecast does not specify which locality will flood, dry out or lose power; drought and flooding can occur in different regions during the same episode. The operational question is whether a threatened region can sustain cooling, drinking water, clinical care and communications through the time needed to restore ordinary supply.

2026–2030: more temperature records are the published baseline

Published forecast, WMO and Met Office, 28 May 2026

The decadal outlook assigns an 86% probability that at least one year in 2026–2030 exceeds the 2024 temperature record, 91% that at least one exceeds 1.5°C above 1850–1900, and 75% that the five-year mean exceeds 1.5°C. These are issue-date probabilities, not an October recalibration, and a year or five-year mean above 1.5°C differs from the long-term Paris Agreement measure.91

Conditional arithmetic

Forster and colleagues estimate 2025 human-induced warming at 1.37°C and the recent rate at 0.27°C per decade. Holding that rate constant gives 1.37 + 5 × 0.027 = 1.505°C in 2030, consistent with the authors’ stated continuation. This is not an annual observed-temperature forecast or a threshold-date confidence interval.9 The satellite sea-level record’s own quadratic trajectory implies about 5.0 ± 1.4 mm per year by 2030 and 6.5 ± 2.6 by 2050, if the observed acceleration continues.11

The solar cycle’s declining phase stays active

Conditional arithmetic from the historical record

Cycle 25’s smoothed maximum fell in October 2024. Across cycles 17–24, the post-maximum phase contained 69% of severe storms but also 63% of the observing time: 3.38 versus 2.51 episodes per year. The ratio falls to 1.14 for the Kp ≥ 9− subset, and cycle-resampling intervals span equal rates. The defensible expectation is continued exposure, especially in historically active seasons—not an automatically escalating annual hazard in 2025–2028. Cycle 25’s observed counts remain below cycles 17–23 at the same elapsed cycle time.2,3,71,72

Plan for evolving magnetic exposure, not a reversal timetable

Published assessments

Buffett and Davis’s stochastic model, conditioned on an initial axial dipole of 7.6 × 10²² A m², gives under 2% probability of being in the opposite-polarity target state after 20,000 years and 11% after 50,000 years. Those are endpoint-state probabilities—not the probability of at least one earlier excursion or reversal, and not an all-hazard estimate. The field could cross and return before an endpoint. The World Magnetic Model remains a short-horizon navigation-field model, not a deep-dynamo transition forecast.30,33

Conditional arithmetic

Two continuations show why elapsed time and present trends are poor guides on their own. At its 1900–2025 average, the dipole would fall to GGF100k’s 100,000-year mean in about 170 years and to zero in about 1,500; sustaining the trend that long is exactly what paleomagnetic trend variability makes highly unlikely.2,31 A memoryless process at the last ten million years’ rate of 4.8 reversals per million years gives about 0.05% per century and 9% per 20,000 years for the onset of a reversal. Buffett and Davis instead report under 2% for being in the opposite polarity after 20,000 years, conditional on a strong initial axial dipole. This is an endpoint-state probability, not the probability of at least one earlier transition: a path can reverse and then return. The two quantities illustrate different assumptions and are not interchangeable forecasts.2,30,58

Synthesis judgment

The field reconstructions describe continuing reorganization, with different trends in displacement, spectral rate, pole motion and weak-field geometry. The satellite-era reweighting rate has eased even while eccentric-dipole displacement has accelerated; the pole has braked; the orbital screening footprint contracts while the surface weak-field area grows. Those combinations directly oppose a one-number narrative in which every measure is accelerating toward the same endpoint.29,32 The appropriate near-term expectation is continued spatial change, with consequences that vary by orbit, particle energy and infrastructure. A severe space-weather event remains a conditional operational scenario; whether it causes brief managed disruption or serious loss depends on local conductivity, assets and operating state.6,88

Conditional severe branches extend beyond the central outlook

An extreme solar particle event coinciding with unfavorable magnetic access and atmospheric chemistry could produce a much wider exposure than an ordinary storm. A sustained dense-cloud encounter would pose a different, potentially prolonged forcing. Their consequence models deserve attention even when their present occurrence is not established. Neither scenario is assigned a numerical near-term probability here, and the zero-field, extreme-particle boundary case must not be read as a description of today.45,44,103

What would materially change the magnetic assessment?

Synthesis judgment

More informative than another moving-pole headline would be a sustained, independently reconstructed shift across several quantities: dipole decay and its changing rate; global intensity and directional structure; non-dipole power separated from equivalent dipole offset; and energy-resolved particle exposure under known solar forcing. Agreement among quantities derived from the same coefficients is not independent confirmation. A new weak minimum is a geometry result until a transport or system response connects it to harm.

A repeated six-year feature, a regional flow reversal or a brief change in inner-core motion would sharpen dynamical questions. None alone supplies an excursion probability. Published analogues and weak-field scenarios are most useful as conditional branches: what exposure would look like under a different field, and which observations would distinguish that branch from continuing secular variation.41,44,46

Beyond Earth, a materially different assessment would require evidence of changed external gas pressure, magnetic conditions or energetic-particle spectra consistent with a specified incoming structure. Iron-60 trends can constrain material history, but cannot alone establish present radiation forcing. The forecast should change when those causal quantities change—not when an uncalibrated cycle is assigned a new peak date.107,108,102

Services: ordinary adequacy versus stress-conditioned continuity

Synthesis judgment

NERC’s assessments illustrate the divide: its pre-summer 2026 analysis expected normal-condition adequacy across all assessment areas, while its longer planning horizon identified challenges under specified demand and resource assumptions, with later plan changes that can improve those results.25,26 Routine service can remain reliable while particular combinations of weather, equipment unavailability and demand become harder to manage. That points toward episodic, geographically concentrated crises. The hurricane decomposition makes a plausible future pattern concrete: improving backup performance alongside flat or rising unserved time where exposure outpaces that improvement. The identity establishes the mechanism; it does not determine the future exposure trend in any particular region.4

The adverse regional case becomes more serious when several destinations depend on the same reserve. A nationwide generator count or a mutual-aid agreement does not tell whether an isolated county will receive enough assistance before its services become unsafe. Adaptation also changes network behaviour: continuity planning must include how many large facilities switch to backup simultaneously and how they reconnect.85

Water and living systems: respite is not replenishment

Synthesis judgment

WMO’s water assessment documents declining stored freshwater and substantial glacier losses; NOAA separates the end of widespread coral bleaching heat stress from the subsequent condition of reefs.16,19 Monitoring will increasingly need to distinguish a temporary respite from genuine replenishment. A wet season can improve one reservoir while groundwater depletion persists; cooler ocean conditions can stop additional acute heat stress while lost coral structure remains. The severe scenario is repeated disturbance before sufficient function returns.

Outlook branches, 2027–2030: conditional, overlapping, ordered by weight of evidence and mechanism
ScenarioCondition that selects the branchExpected operational signature
Managed continuityCentral pattern outside the most exposed pocketsSupport arrives before exhaustion; feasible alternatives and restoration capacity remain available.Disruptions are contained. Service or substitutes return faster than the most critical deadlines.
Regional continuity crisisPrincipal recurring adverse branchHeat or another exposure persists through an outage; power, access or backhaul defeats essential substitutes.A long tail of unserved hours, repeated replenishment attempts, relocation and uneven access to protection.
Overlapping regional emergenciesHigh-consequence stress branchSeveral affected regions compete for the same accessible crews, fuel, spares or transport capacity.Aid available in aggregate but not by every deadline; recovery queues and untreated needs persist together.
Severe space-weather interruptionTiming tied to solar-cycle phase and seasonStrong external forcing meets vulnerable assets and a constrained protective configuration.Outcomes diverge with operating response, equipment damage and the restoration path; field geometry alone does not determine loss.

The most credible serious outcome is not necessarily the most spectacular initiating event. It is an emergency that lasts beyond the available alternatives. A contained event can also be severe physically; successful protection is an outcome, not evidence that the hazard was harmless.

Track the margin that separates support from need

Signposts that would strengthen or weaken this outlook
SignpostEvidence of worsening riskEvidence of improving resilience
Service-weighted unserved timeLonger or more consequential gaps under comparable hazard exposure.Less uncovered service for comparable exposure, including the hardest-hit areas.
Autonomy–restoration marginThe short-autonomy tail falls below the long-restoration tail in the same event-conditioned population.Measured autonomy covers restoration deadlines even under adverse pairing.
Resupply and shared capacityDelivery delays exceed energy endurance, or destination-specific work exceeds reachable capacity.Feasible allocations and delivery schedules remain valid with several regions affected.
Environmental recoveryThe next disturbance arrives before stored water or ecosystem function recovers.Measured replenishment and retained function, rather than only a weaker immediate hazard.
Energy imbalance and its observationA continued rise in the imbalance, or loss of the satellite record that measures it.A stabilizing imbalance and continuity of radiation-budget observation.
Magnetic operational exposureIndependent particle or grid outcomes worsen after accounting for energy, forcing and operating state.Exposure is contained or reduced despite changing geometry.
Dipole and weak-field trajectoryA renewed acceleration of the five-year dipole decline in the next IGRF generation, with continued growth of the area below 32,000 nT.Further easing of the decline, or a halt in weak-field growth as one analogue-based interpretation proposes.
Declining-phase stormsSevere storms at or above the historical post-maximum rate meeting grids and constellations with thin operating margins.Storms of comparable strength met with managed configurations and short restorations.

The hurricane aggregate reports supply the first building block for the service signposts: exposure and power-off occupancy. They do not supply individual battery lifetimes or a causal estimate of road access. Linked site-level spells are needed before assigning calibrated service-failure probabilities from those margins.4

The direction is concerning. The outcome is still responsive to decisions.

Synthesis judgment

The most likely trajectory is continued near-term warming, substantial residual environmental damage and repeated pressure on essential services. The plausible severe tail is geographically uneven and operationally specific: an exposed population loses access to something essential before the recovery system can replace it. That outcome is neither trivial nor predetermined. Lower emissions constrain future warming; maintained alternatives and feasible response reduce losses during the damage already faced. Zero-emissions temperature commitment and long-lived sea-level or ecological responses are different questions, so preventing additional warming and living with existing damage remain simultaneous tasks.17,24

Expect a harder job of maintaining normal life—not a single date on which normal life ends.

A9Definitions, assumptions & analytical methodsIntegration rules, source populations, event definitions, identifiability and the boundaries of each calculation.
—Analytical reference

Definitions, models, data and methods

Observational findings retain the populations and periods of their sources. Geomagnetic quantities are reconstructions from IGRF-14, CHAOS-8.7, GGF100k and LSMOD.2. The repair, continuity, particle-balance and transient models describe constructed mechanisms. The hurricane comparison uses reported category counts; the delivery and allocation examples are exact illustrations with stated inputs.

Time-normalized storm cadence and uncertainty

Complete SILSO cycles 17–24 are split at the first day of each 13-month smoothed-maximum month. Exposure is the exact number of days in each phase, converted with 365.25 days per year. Counts use storm-onset dates and the same episode-merging rule in both phases. The pooled ratio is (182 / 53.921971 years) / (81 / 32.325804 years) = 1.347007.

The Kp ≥ 9− subset is selected from the severe-episode catalogue; it is not a new independent catalogue of isolated extreme days. Whole-cycle resampling preserves each selected cycle’s counts and durations. Twenty thousand bootstrap samples with seed 20261002 give the central 95% percentile ranges shown. There are only eight complete cycles, so this is a sensitivity summary rather than a calibrated future-event model. Consecutive-only, one-quiet-day and two-quiet-day episode definitions give severe-event rate ratios 1.365, 1.347 and 1.343 respectively. No Dst-based stratification is implied.

Published weak-field scenarios and reconstructed extrema

The GGFSS70 extrema are values reported in the paper, not a re-evaluation of its coefficient archive. Dipole-moment minima from GGF100k and LSMOD.2 use the evaluated model records. Differences are not interpreted as a statistical uncertainty band.

The radiation comparison transcribes all eight flight-dose totals from Larsen et al., Figures 7–8. The cutoff-area maximum belongs to 41,050 BP, whereas the route comparison uses 40,950 BP. Background units are μSv; the hypothetical 1956 event uses mSv. The model excludes external magnetospheric currents and holds its other stated scenario assumptions fixed. Arsenović et al.’s surface-UV and DNA-weighted changes are from the abstract’s no-field scenario, not the Larsen route model. Radiocarbon detection thresholds use a separate 2005-event reference.

Trajectory and cadence calculations from public data

Surface field and dipole. IGRF-14 Schmidt semi-normalized coefficients (degree 10 before 2000, 13 thereafter) are synthesized on a 0.5° grid on the 6,371.2 km reference sphere, with cosine-latitude area weights. The weakest point is refined by simplex minimization. The dipole moment is M = 4πa³B₀/μ₀ with B₀ = √(g₁₀² + g₁₁² + h₁₁²). The 2030 field adds five years of the model’s 2025–2030 secular variation. This synthesis reproduces the published four-epoch minima (25,462; 24,762; 23,372; 22,094 nT) and areas below 32,000 nT (8.89%; 11.33%; 17.19%; 21.10%) exactly, and the R₂/R₁ growth factors of 1.948 since 1945 and 2.745 since 1900.

Eccentric dipole and poles. The eccentric-dipole offset uses the standard degree-one and degree-two expression, giving 406.8 km in 1945 and 604.6 km at the 2025 IGRF epoch. The 1.75 km per year quoted for 1900–1950 is the least-squares slope through the eleven epochs; the endpoint difference gives 1.77. Dip poles minimize horizontal intensity on a 0.05° grid, refined by simplex; the 2025 north dip pole agrees with NOAA’s published position to within about 5 km once geocentric and geodetic latitude are distinguished. Pole speeds are great-circle distances between successive NOAA annual positions on the same sphere.

Paleomagnetic models. The earlier analysis used 50-year evaluations of the published models. The GGF100k series embedded in this reader has 200-year spacing and supplies the explicit input for the Holocene baseline comparison. The LSMOD.2 analysis evaluated cubic B-spline coefficients (403 splines, degree 10) at 50-year steps from 49.9 to 30.05 ka BP. Its surface statistics use a matching degree-10 truncation of IGRF. Rates depend on temporal regularization and do not have equal resolution across models. No fresh coefficient-ensemble run is represented by the new baseline analysis.92,51,52

Polarity timescale. Chron boundaries are the GTS2020 values as distributed with PmagPy. Reversal rates count boundaries in a sliding five-million-year window. Interval statistics use complete intervals; for 0–30 million years a maximum-likelihood gamma fit with zero location gives shape 1.46, but this descriptive fit does not establish memorylessness. A goodness-of-fit probability requires calibration for estimated parameters and a defensible stationary interval sample. Base-rate arithmetic uses P = 1 − exp(−λt) with λ = 4.8 per million years.

Storm cadence. GFZ definitive and provisional Kp to 1 October 2026. A severe day has maximum three-hour Kp ≥ 8− (7.667); severe days separated by at most one quiet day form one storm, the rule that reproduces the published 32% follow-on rate (32.4%) and equinoctial share (45.7%). Solar cycles start at SILSO 13-month smoothed minima (1933-09, 1944-02, 1954-04, 1964-10, 1976-03, 1986-09, 1996-08, 2008-12, 2019-12); maxima are the largest smoothed values within each cycle. Same-phase comparisons count each cycle’s first 6.83 years.

Climate series. HadCRUT5 annual anomalies are re-expressed relative to their own 1850–1900 mean (an offset of −0.357°C from the 1961–1990 baseline); trends are ordinary least squares without autocorrelation adjustment and are descriptive. CO₂ growth uses endpoint differences of Mauna Loa annual means.

Hurricane figure. The Helene and Ida curves are the vector coordinates of the previously published figure, mapped through its axis ticks. Integrating panel b reproduces the tabulated site-day totals to within 0.03 site-days per 100 sites, and panel a equals the ratio of the two panel-b series at every snapshot.

Recovery model: boundary and independent repair condition

For dependent repair, the maximum throughput is c/[1 + √(b/K)]², reached at B = √(bK). When 0 < a < c/[1 + √(b/K)]², the two positive equilibria bound a low-backlog basin. Adding independent capacity e changes the equilibrium equation to:

(e − a)B² + [K(c + e) − a(b + K)]B − abK = 0

For a, b, c, K > 0 and e > a, the leading coefficient is positive and the constant negative, so exactly one root is positive. Net arrival of work is positive below that root and negative above it, so every finite nonnegative backlog converges to it under constant conditions without further discrete shocks. In restoration records the feedback shows when repair work is counted per job, unfinished jobs stay in the record and crew arrivals are tracked separately.

Continuity bounds: why the pairing matters

With full service until autonomy A runs out and full restoration at T, D = (T − A)₊ = ∫ 1{A ≤ t < T} dt. At each time, the overlap of “backup exhausted” and “not restored” lies between max(FA − FT, 0) and min(FA, 1 − FT). Matching the same quantile attains the lower value at every t; matching opposite quantiles attains the upper. Integrating gives the bounds in the text, which require finite means. Weighted populations use matching weighted distributions; partial service, refuelling, recharge or backup failure use the time-dependent service deficit.

A dependence-free deadline guarantee

For the single-exhaustion model D = (T − A)₊, the event {T > A} lies within {A < d} ∪ {T > d} for every d. Otherwise A ≥ d and T ≤ d, so T ≤ A. The union bound gives Pr(D > 0) ≤ Pr(A < d) + Pr(T > d). No independence assumption is used. A guarantee of no more than ε uncovered sites follows when autonomy below the deadline affects at most α and restoration after it affects at most β, with α + β ≤ ε. A 2.5% lower-autonomy tail and a 2.5% upper-restoration tail imply 5%; 5% and 5% imply 10%. The marginal distributions must describe the same population, weights, hazard and operating regime, and sampling uncertainty must be added when tail rates are estimated.

Energy timing: the uninterrupted-service feasibility condition

Let E₀ be initial usable energy, p(t) the required delivered power and DE(t) cumulative admitted usable energy delivered by t. Energy conservation under uninterrupted operation gives E(t) = E₀ + DE(t) − ∫₀ᵗ p(u)du. Feasibility requires E(t) ≥ 0 at every time before restoration, along with storage, discharge-power, equipment and other service constraints. Deliveries that exceed available storage are not admitted energy. For E₀ = 24, p = 1, T = 48 and one 30-unit delivery, a delivery at hour 12 needs storage for at least 42 units and produces no gap; delivery at hour 30 produces a six-hour gap after exhaustion at hour 24, after which enough energy remains for the last 18 hours.

Hurricane measurements: populations, categories and integration

DIRS reports list cell sites served and sites off the air by carrier-reported cause: damage, transport and power. Helene also lists sites running on backup. Ida snapshots are at 11:00 EDT, 30 August–14 September 2021; Helene snapshots are at 09:00 EDT, 26 September–19 October 2024. Landfall reference times are 29 August 2021 at 16:55 UTC and 27 September 2024 at 03:10 UTC.79,80

The matched Helene window uses ten snapshots from 28 September to 7 October, spanning nine elapsed days, and fixed panels of 21 western North Carolina counties, 46 South Carolina counties and 30 Georgia counties. P(t) is the count off for power; B(t) is the count operating on backup. The power-observed count is G(t) = P(t) + B(t). Sites coded under damage or transport are excluded even if they also lack grid power. Trapezoidal integration gives Pd and Gd; the inputs (N, Pd, Gd) are (1,452; 2,366; 3,436), (7,458; 3,002; 6,984) and (1,450; 1,780; 4,838). The decomposition is an identity at the precision of those integrated inputs. It separates burden arithmetically, not causally.

Ida lacks backup counts. Its estimated exposure uses the parish customer-outage fraction from EAGLE-I at each report time, with the larger of modeled customers and event-peak customers as denominator, applied to site counts. A cross-check across 2,244 Helene county reports finds rank correlation 0.82 between the customer-outage fraction and P + B as a share of sites; at high outage fractions the customer proxy is larger. That is a sensitivity warning, not proof that every Ida estimate is a lower bound.81 The county rearrangement calculation selects counties with at least ten sites and half a power-exposure day per site; it is a separate selected population, not the three fixed panels, and does not identify an access effect. Site counts measure infrastructure, not customer connectivity.

Why daily category counts do not reveal individual backup lifetimes

Counts at successive times are stocks, not linked histories. Two sites can report one backup-operating and one power-off site at each of two snapshots either by staying in place or by exchanging states; only the second history contains a backup-to-power-off transition. For a fixed complete universe of N identified sites, with Bt backup-operating at t and Pt+1 power-off at t + 1, the number of endpoint transitions satisfies max(0, Bt + Pt+1 − N) ≤ nB→P ≤ min(Bt, Pt+1). These bounds do not locate the transition time or establish exhaustion as its cause. First-silence distributions require linkable site-level spells, start times, replenishments and competing failure causes.

Shared reserve: reachable work rather than aggregate inventory

Let wi be work required in region i and Cj the work pool j can complete before a common deadline. Under known demands, divisible work, compatible productivity units, unlimited edge capacity and no additional delay or precedence, a feasible allocation exists exactly when, for every subset S of destinations, Σi∈S wi ≤ Σj∈N(S) Cj, where N(S) contains the pools able to serve at least one destination in S. Necessity follows by summing resource limits; sufficiency follows from the minimum-cut condition of the source → pools → destinations → sink flow network. Finite route capacities require the full cut test; unequal deadlines and travel times require time-expanded capacity.

Particle balance: an exact non-identifiability example

Use N(t) = 1 + 0.05 sin(ωt), ω = 2π/11 per year, and ν(t) = [1 + 0.2 cos(ωt)]/τ. Defining Q(t) = dN/dt + ν(t)N(t) gives exactly this N for τ = 1 and τ = 10 years, with Q and ν positive throughout. Relative to each case’s reference source 1/τ, Q spans about 0.768–1.236 and 0.513–1.489. A population cycle alone leaves τ undetermined.

Stable transient: fixed decay rates, different amplification

For dx/dt = −x/2 + gy and dy/dt = −y/10, with x(0) = 0 and y(0) = 0.1, the eigenvalues stay at −0.5 and −0.1 per day for every g. The response is x(t) = 0.1g(e−t/10 − e−t/2)/0.4, peaking at about 4.02 days. Raising g from 0.5 to 2 per day lifts the peak from 0.0669 to 0.2675 and the integrated deficit from one to four deficit-days, in normalized units.

Recovery overlap without additional clustering

In an illustrative stationary model with independent Poisson event arrivals at rate λ and independent recovery durations τ, the number of unfinished recoveries has mean m = λE[τ] and a Poisson occupancy distribution; the probability of at least one active recovery is 1 − exp(−m). At m = 0.5 it is 39.3%. Raising both the arrival rate and mean recovery duration by 20% gives m = 0.72 and 51.3%: a 44% rise in the occupancy mean and about 12 percentage points in probability. The construction assumes recoveries proceed concurrently without resource competition; it is not a fit to the storm record.

Long magnetic baselines and threshold comparisons

The Holocene calculation uses the GGF100k display series at 200-year spacing, rounded to 0.001 × 10²² A m², over 0–11.7 thousand years before 1950. Time means integrate its piecewise-linear interpolant, including the final partial interval. The strongest 500-, 1,000- and 2,000-year means maximize the corresponding moving-window integral; interpolation locates its optimum but does not add temporal resolution. The present comparison is the 2025 IGRF total dipole, not a continuation of the paleomagnetic line through the instrumental period.51,1

Uncertainty in ages, calibration, data coverage and model regularization is not captured by the displayed precision. No new paleomagnetic coefficient archive or posterior ensemble was evaluated for these comparisons. The published 11.64 high-state input is displayed separately rather than treated as a GGF100k confidence limit. The 4 × 10²² A m² empirical threshold is compared with the axial IGRF moment, |g₁⁰|, rather than the total degree-one norm.93,94,118

The official 2025 degree-one coefficients are g₁⁰ = −29350.0, g₁¹ = −1410.3 and h₁¹ = 4545.5 nT. With reference radius a = 6371.2 km, M = (4π/μ₀)a³√[(g₁⁰)²+(g₁¹)²+(h₁¹)²], after converting nT to T, gives total M = 7.6897 × 10²² A m². Replacing the norm with |g₁⁰| gives axial M = 7.5905. These distinguish a source-level axial estimate from a total dipole representation.118

What would validate a common driver?

A prospective common-driver test should freeze the driver, target observable, phase/lag interval and event definition before evaluation. Chronology ensembles and alternative detrending must preserve the association. The test must distinguish solar modulation, geomagnetic access and archive transport; independent records should remain independent after their corrections. Non-events and recoveries count alongside transitions. Otherwise a fitted period or matched curve is an explanatory candidate rather than an operational warning.

A coupled hazard estimate additionally requires source intensity and duration, spatial transfer, response dynamics and exposure. Marginal extremes cannot simply be multiplied, and dependent magnetic metrics cannot be added as independent evidence. The influence map records qualitative support; it does not assign numerical probabilities, weights or a global tipping score.

A10Numerical tables & figure definitionsExact chart values, eight dipole baselines and the source-typed register of 71 published quantities.

Exact values accompany the narrative graphics. The baseline table uses 10²² A m²; percentage changes use the full-precision comparison values. The quantity register mixes observations, model inputs, modeled responses and qualifiers. Its 71 records are not 71 independent observations.

Selected graphic definitions

Exact per-cycle counts, exposure years and rates
CycleBefore: episodesAfter: episodesBefore: yearsAfter: yearsBefore: /yrAfter: /yr
170343.58116.83640.00004.9734
1813263.24446.91854.00703.7580
1920353.91516.58735.10845.3133
208234.08497.32921.95843.1381
2114203.75096.75153.73252.9623
226243.16776.74881.89413.5562
2316175.25127.08283.04692.4002
24435.33065.66740.75040.5293
All eight published dose values and scenario assumptions
RouteBackground, modernBackground, Laschamps1956-like event, modern1956-like event, Laschamps
Helsinki–New York77.7 μSv75.6 μSv5.05 mSv1.66 mSv
Helsinki–Dubai40.0 μSv61.5 μSv0.13 mSv3.23 mSv

Both modeled flights are at 40,000 ft (12.19 km), with fixed great-circle routes and specified departure/event timing. Solar modulation is held at 500 MV; external magnetospheric currents are omitted. The ancient comparison field is LSMOD.2 at 40,950 BP. It is not the epoch of maximum low-cutoff area.

Eight baseline comparisons

Reference definitionReference moment2025 momentChange (%)Provenance / definition
1900 IGRF-14 total dipole8.3217.69-7.583223170292019IGRF coefficient-derived value
Holocene time mean, 0–11.7 ka BP8.098408119658127.69-5.043066657344031piecewise-linear mean of the GGF100k display series
Holocene sampled maximum, GGF100k9.8247.69-21.722312703583057sampled maximum of the rounded 200-year display series
100,000-year time mean, GGF100k6.8265837.6912.647864971391986piecewise-linear mean of the GGF100k display series
Published Holocene-high simulation reference11.647.69-33.93470790378007Ebihara et al. 2021 chosen model input, linked to Knudsen et al. 2008; NOT independent re-estimate of the Holocene maximum
Maximum 500-year mean, GGF100k9.7359361760660237.69-21.01427268078825piecewise-linear moving-window analysis of the embedded display series
Maximum 1000-year mean, GGF100k9.6025168831168867.69-19.916829164648142piecewise-linear moving-window analysis of the embedded display series
Maximum 2000-year mean, GGF100k9.4166072562358287.69-18.335767960296323piecewise-linear moving-window analysis of the embedded display series

Published-quantity register

Source keyQuantityValueUnitScopeEvidence typeLocator
larsen2026GCR modern77.7μSvHelsinki–New York; 40,000 ft; 2020 field; background galactic cosmic rayspublished model resultFigure 7 (PDF p10)
larsen2026GCR Laschamps75.6μSvHelsinki–New York; 40,000 ft; 40,950 BP LSMOD.2; background galactic cosmic rayspublished model resultFigure 7 (PDF p10)
larsen2026GLE modern5.05mSvHelsinki–New York; 40,000 ft; 2020 field; hypothetical 23 February 1956 GLE5published model resultFigure 7 (PDF p10)
larsen2026GLE Laschamps1.66mSvHelsinki–New York; 40,000 ft; 40,950 BP LSMOD.2; hypothetical 23 February 1956 GLE5published model resultFigure 7 (PDF p10)
larsen2026GCR modern40μSvHelsinki–Dubai; 40,000 ft; 2020 field; background galactic cosmic rayspublished model resultFigure 8 (PDF p11)
larsen2026GCR Laschamps61.5μSvHelsinki–Dubai; 40,000 ft; 40,950 BP LSMOD.2; background galactic cosmic rayspublished model resultFigure 8 (PDF p11)
larsen2026GLE modern0.13mSvHelsinki–Dubai; 40,000 ft; 2020 field; hypothetical 23 February 1956 GLE5published model resultFigure 8 (PDF p11)
larsen2026GLE Laschamps3.23mSvHelsinki–Dubai; 40,000 ft; 40,950 BP LSMOD.2; hypothetical 23 February 1956 GLE5published model resultFigure 8 (PDF p11)
larsen2026Surface area with Rc below 1 GV13.6percent2020 magnetic fieldpublished model resultFigure 5 (PDF p9)
larsen2026Maximum surface area with Rc below 1 GV48.3percent41,050 BP; not the 40,950 BP flight-comparison epochpublished model resultFigure 5 (PDF p9)
ggfss702021Dipole moment minimum0.1210²² A m²Laschamps; 40.97 ka BPpublished model resultSection 4, global quantities
ggfss702021Dipole moment minimum1.8710²² A m²Norwegian–Greenland Sea excursion; 64.87 ka BPpublished model resultSection 4, global quantities
ggfss702021Dipole moment minimum3.310²² A m²Mono Lake/Auckland; 34.47 ka BPpublished model resultSection 4, global quantities
ggfss702021Axial-dipole sign reversal duration300years (approximately)41.25–40.93 ka; published rounded durationpublished model resultSection 4
arsenovic2024UV-index increase20–25percentExtreme solar-particle event with no geomagnetic fieldpublished model resultAbstract
arsenovic2024Solar-induced DNA-damage-proxy increase40–50percentSame no-field boundary case; modeled biological weighting, not measured diseasepublished model resultAbstract
arsenovic2024Elevated surface-UV persistenceup to 6yearsSame no-field boundary casepublished model resultAbstract
usoskin2026Reference event scale100× 20 January 2005 GLE69Hard-spectrum reference for the radiocarbon forward model, not flight dosepublished model resultModel setup
usoskin2026Reference event F2002780000000.0cm−2Integral proton fluence above 200 MeV of the reference eventpublished model resultModel setup
usoskin2026Small-event identification threshold0.5–0.7reference eventsDepends on unknown solar-cycle background; not an instrument detection limitpublished model resultDiscussion/conclusions
owens2022GLE sample size67eventsInstrumental record analyzed by paperpublished observational sampleAbstract
owens2022Maximum-to-minimum GLE occurrence contrast4ratio (approximately)Solar-maximum versus solar-minimum phasepublished model resultAbstract
vasilyev2024Superflares2889eventsSelected Kepler stellar population; >10³⁴ ergpublished observational sampleAbstract
vasilyev2024Flaring Sun-like stars2527starsSelected Kepler stellar population; >10³⁴ ergpublished observational sampleAbstract
vasilyev2024Sun-like star sample56450starsSelected Kepler stellar population; >10³⁴ ergpublished observational sampleAbstract
vasilyev2024Superflare recurrence100years (approximately)Population inference for selected Sun-like stars; not a terrestrial storm probabilitypublished model resultAbstract
polarmotion2024Surface-mass attribution90percent (approximately)Interannual/multidecadal rotational polar motion; model attributionpublished model resultAbstract
cazenave2025Subdecadal LOD amplitude0.1ms (approximately)~6-year band; varies through the recordpublished model resultSection 2.1
madsen2026Core-flow observing window1997–2025CEMagnetic secular-variation inversionpublished model resultAbstract
madsen2026Equatorial-Pacific flow transition2010CEWeakly westward to strongly eastward in reconstructed flowpublished model resultAbstract
madsen2026Eastward flow weakening begins2020CE (approximately)Same regional core-flow reconstructionpublished model resultAbstract
knudsen2008Proposed empirical excursion/reversal dipole level410^22 A m^2Axial reconstruction; not calibrated modern onset warningpublished empirical suggestionPrimary institutional abstract
ebihara2021Run 1 dipole input7.7610^22 A m^2Run 1; ionospheric conductivity standard; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model inputTable 1
ebihara2021Run 1 minimum SML-579nTRun 1; ionospheric conductivity standard; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
ebihara2021Run 1 incident magnetic energy rate11810^10 WRun 1; ionospheric conductivity standard; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
ebihara2021Run 2 dipole input11.6410^22 A m^2Run 2; ionospheric conductivity M-dependent scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model inputTable 1
ebihara2021Run 2 minimum SML-513nTRun 2; ionospheric conductivity M-dependent scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
ebihara2021Run 2 incident magnetic energy rate13710^10 WRun 2; ionospheric conductivity M-dependent scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
ebihara2021Run 3 dipole input5.1710^22 A m^2Run 3; ionospheric conductivity M-dependent scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model inputTable 1
ebihara2021Run 3 minimum SML-717nTRun 3; ionospheric conductivity M-dependent scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
ebihara2021Run 3 incident magnetic energy rate9610^10 WRun 3; ionospheric conductivity M-dependent scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
ebihara2021Run 4 dipole input11.6410^22 A m^2Run 4; ionospheric conductivity not M-scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model inputTable 1
ebihara2021Run 4 minimum SML-714nTRun 4; ionospheric conductivity not M-scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
ebihara2021Run 4 incident magnetic energy rate13610^10 WRun 4; ionospheric conductivity not M-scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
ebihara2021Run 5 dipole input5.1710^22 A m^2Run 5; ionospheric conductivity not M-scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model inputTable 1
ebihara2021Run 5 minimum SML-462nTRun 5; ionospheric conductivity not M-scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
ebihara2021Run 5 incident magnetic energy rate9610^10 WRun 5; ionospheric conductivity not M-scaled; idealized global dipole; fixed prescribed solar wind; no quadrupolepublished model resultTable 2
opher2024Cold-cloud neutral hydrogen density3000cm^-3Specified proposed encounter 2–3 Myr ago, not current local warm mediumpublished model inputMethods
opher2024Cold-cloud temperature20KSpecified cold-cloud encounterpublished model inputMethods
opher2024Relative cold-cloud velocity14.1km/sSpecified encounter geometrypublished model inputMethods
opher2024Upwind heliopause distance0.22AUReported ±0.01 AU; conditional compression, not observed current boundarypublished model resultMain text
opher2024Heliopause reported spread0.01AUUse only with 0.22 AU result; not a modern forecast intervalpublished result qualifierMain text
opherHEP2026Sub-10-MeV HEP enhancementat least 10ratioRelative to extreme present SEP events; external to magnetosphere; not dosepublished model result boundPrimary abstract
opherHEP2026Sub-GeV GCR enhancementat least 10ratioOutside compressed heliosphere; external particle spectrum; not surface dosepublished model result boundPrimary abstract
nica2026Global 10Be production enhancement, 0.2-AU case9approximate ratioFixed modern dipole; selected HEP+GCR model; archive mixing not calculated; preprintpreprint model resultv3 results
nica2026Global 10Be production enhancement, 0.7-AU case3approximate ratioFixed modern dipole; selected HEP+GCR model; archive mixing not calculated; preprintpreprint model resultv3 results
kollIce2026Ice mass analyzed295kgEDML ice 40–81 kyr agopublished sample quantityAbstract
kollIce2026Ice interval young boundary40kyr agoEDML sampled intervalpublished interval boundaryAbstract
kollIce2026Ice interval old boundary81kyr agoEDML sampled intervalpublished interval boundaryAbstract
kollIce2026Interstellar 60Fe deposition central estimate0.22atoms cm^-2 yr^-140–81 kyr ice; uncertainty +0.14/-0.12; not radiation fluxpublished inferred measurementAbstract
kollIce202660Fe deposition upper uncertainty0.14atoms cm^-2 yr^-1Positive reported uncertainty around 0.22published measurement qualifierAbstract
kollIce202660Fe deposition lower uncertainty0.12atoms cm^-2 yr^-1Negative reported uncertainty around 0.22published measurement qualifierAbstract
kollIce2026Local warm-cloud density range0.1–0.2cm^-3Introductory description of nearby warm cloudlets, not dense-cloud scenariopublished environmental rangeAuthor full-text introduction
kollIce2026Local warm-cloud temperature range5000–10000KIntroductory warm-cloud descriptionpublished environmental rangeAuthor full-text introduction
kollIce2026Discussed local-cloud exit timescale2000–6000yrModel-dependent prospective LIC exit within the next 2000–6000 years; not an imminent cold-cloud arrivalpublished interpretation rangeAuthor full-text introduction
beer2025EDML chronology duration145000yrRecord used for reported Bayesian spectral analysispublished record scopePrimary institutional extended abstract
beer202510Be classified periodicities20countFour production-only, thirteen mixed, three system-only; all periods in separate CSVpublished analysis countPrimary institutional extended abstract
golubenko2025Solar-event strength relative excess over AD 77518%12350 BC event; model-estimated strength, not raw isotope-amplitude ratiopublished model inferenceAbstract
golubenko2025Reported uncertainty on relative excess11percentage points18 ±11%; preserve paper definition rather than infer a forecast intervalpublished inference qualifierAbstract
silsoPeak2026Cycle 25 smoothed sunspot maximum161sunspot numberOctober 2024; official retrospective maximumpublished operational statisticOfficial article
grb2023GRB atmospheric perturbation event date2022-10-09ISO dateGRB 221009A; upper ionosphere, not core-field reversalpublished event dateMain text

The assessment date is 2 October 2026; each record retains its own measurement period. Display-series arithmetic is not a new paleomagnetic ensemble, and neither the mechanism atlas nor the influence register is a weighted global risk score. The original coefficient archives and linked site-level outage histories are not embedded. References distinguish papers, data products, official assessments, preprints and this assessment’s calculations.

RSources & scope

Follow the
evidence.

119 reference entries: research papers, official assessments, datasets, preprints and analytical provenance—not 119 independent studies.

119 references
  1. IAGA. International Geomagnetic Reference Field.IGRF-14 coefficients used for the surface maps and long-term spectral history.
  2. GeoPhasix (2026). Trajectory and cadence calculations from public data.IGRF-14 surface field, dipole, eccentric-dipole and pole metrics 1900–2030; NOAA pole speeds; GGF100k and LSMOD.2 evaluation; GTS2020 reversal cadence; GFZ storm cadence with SILSO cycles; HadCRUT5 and Mauna Loa series. Methods in the analytical reference.
  3. GeoPhasix (2026). Exposure-time-normalized geomagnetic storm cadence.Completed solar cycles 17–24; severe episodes at Kp ≥ 8−, extreme subset at Kp ≥ 9−. Event counts divided by phase duration. Cycle bootstrap: 20,000 samples, seed 20261002; sensitivity to 1-, 2- and 3-day merge intervals.
  4. GeoPhasix. Cell-site continuity measurements, Hurricanes Ida and Helene.County tables from 40 daily FCC reports joined to EAGLE-I outage records; fixed-panel Helene burden and exposure decomposition. Population, category and integration definitions are in the analytical reference.
  5. WMO (2026). State of the Global Climate 2025.Published 23 March 2026. Annual temperature, ocean and cryosphere assessment.
  6. NOAA SWPC. Electric Power Transmission.Mechanisms linking rapid geomagnetic disturbances, induced currents and power-system impacts.
  7. Danziger & Barabási (2022). Recovery coupling in multilayer networks.Nature Communications 13, 955. Outage restoration near flooded roads and a model of repair dependencies.
  8. Zscheischler et al. (2020). A typology of compound weather and climate events.Nature Reviews Earth & Environment 1, 333–347. Preconditioning, multiple drivers, temporal succession and spatial compounding.
  9. Forster et al. (2026). Indicators of Global Climate Change 2025.Earth System Science Data 18, 3889 onward. Decadal observed and human-induced warming with assessed uncertainty.
  10. Mauritsen et al. (2025). Earth’s energy imbalance more than doubled in recent decades.AGU Advances 6, e2024AV001636; DOI 10.1029/2024AV001636.
  11. Hamlington et al. (2024). The rate of global sea level rise doubled during the past three decades.Communications Earth & Environment 5, 601; DOI 10.1038/s43247-024-01761-5.
  12. Morice et al. (2021). An updated assessment of near-surface temperature change from 1850: the HadCRUT5 data set.Journal of Geophysical Research: Atmospheres 126. Analysis series 5.1.0.0, accessed 2 October 2026.
  13. WMO (2026). Earth has hottest August on record.Published 11 September 2026. August and Northern Hemisphere summer 2026.
  14. Goessling, Rackow & Jung (2025). Recent global temperature surge intensified by record-low planetary albedo.Science 387, 68–73; DOI 10.1126/science.adq7280.
  15. NOAA Global Monitoring Laboratory. Mauna Loa CO₂ annual mean data.Annual means through 2025, accessed 2 October 2026.
  16. WMO (2026). Recent water trends have serious future implications.Published 17 September 2026. State of Global Water Resources 2025: freshwater storage and glacier losses.
  17. IPCC (2021). AR6 Working Group I, Summary for Policymakers, section B.5.Ocean heat, sea-level commitment and ice-system responses.
  18. Planetary Boundaries Science Lab (2026). Planetary Health Check.Published 21 September 2026. Seven of nine assessed boundaries transgressed.
  19. NOAA (2026). World’s fourth mass coral bleaching event likely ended in 2025.Published 2 June 2026. About 84% of reef area exposed to bleaching-level heat stress, early 2023 to mid-2025.
  20. Manzello et al. (2025). Heat-driven functional extinction of Caribbean Acropora corals from Florida’s Coral Reef.Science 390, 361–366; DOI 10.1126/science.adx7825. Species- and region-specific mortality after the 2023 marine heatwave.
  21. Kiani Shahvandi, Adhikari, Dumberry, Mishra & Soja (2024). The increasingly dominant role of climate change on length of day variations.PNAS 121, e2406930121; DOI 10.1073/pnas.2406930121.
  22. van Westen, Kliphuis & Dijkstra (2024). Physics-based early warning signal shows that AMOC is on tipping course.Science Advances 10, eadk1189; DOI 10.1126/sciadv.adk1189.
  23. Baker, Bell, Jackson, Vallis, Watson & Wood (2025). Continued Atlantic overturning circulation even under climate extremes.Nature 638; DOI 10.1038/s41586-024-08544-0, with author correction of April 2025.
  24. MacDougall et al. (2020). Is there warming in the pipeline?Biogeosciences 17, 2987–3016, with corrigendum. Temperature commitment once CO₂ emissions reach zero, distinct from holding concentrations constant.
  25. NERC (2026). 2026 Summer Reliability Assessment.May 2026, printed page 2. Anticipated bulk-power adequacy under normal summer conditions and elevated risk under specified stress conditions; not a post-season distribution-outage audit.
  26. NERC (2026). 2025 Long-Term Reliability Assessment.Published January 2026; printed pages 6 and 9. Conditional 2026–2035 resource outlook, its mid-2025 planning inputs, and subsequent changes outside that planning snapshot.
  27. ESA (2025). Swarm reveals growing weak spot in Earth’s magnetic field.Published 13 October 2025. Regional field change and the South Atlantic Anomaly.
  28. Finlay, Kloss & Gillet (2025). Core field changes from eleven years of Swarm satellite observations.Physics of the Earth and Planetary Interiors. Surface-field intensity, area definitions and regional changes.
  29. GeoPhasix. Geomagnetic field calculations and numerical tables.IGRF-14 and CHAOS-8.7 calculations to August 2026: spectral ratios, eccentric-dipole displacement, weak-field morphology and orbital screening footprints.
  30. Buffett & Davis (2018). A probabilistic assessment of the next geomagnetic reversal.Geophysical Research Letters 45; DOI 10.1002/2018GL077061. Probability of the endpoint axial dipole being in the opposite polarity, conditional on an initial 7.6 × 10²² A m²; not a first-passage probability.
  31. Buffett, Davis & Avery (2020). Variability of millennial-scale trends in the geomagnetic axial dipole.Geophysical Research Letters; DOI 10.1029/2019GL085909. Probability of sustaining the historical dipole trend.
  32. NOAA NCEI. North dip pole positions, 1590–2025.Annual positions from gufm1 and IGRF (NP.xy), accessed 2 October 2026.
  33. NOAA NCEI and British Geological Survey (2024). World Magnetic Model 2025.Released December 2024, valid to the end of 2029; BGS statement on the north pole’s deceleration from about 50 to 35 km per year.
  34. Livermore, Finlay & Bayliff (2020). Recent north magnetic pole acceleration towards Siberia caused by flux lobe elongation.Nature Geoscience 13, 387–391.
  35. Wang et al. (2025). Investigation of the South Atlantic Anomaly by proton flux variabilities based on six years of CSES data.Science China Earth Sciences 68, 3776–3788. Energy-dependent proton structure and a proton-defined footprint, 2019–2024.
  36. Koskinen & Kilpua (2021). Charged Particles in Near-Earth Space.Particle motion, magnetic mirroring and adiabatic invariants.
  37. Gillet, Gerick, Jault, Schwaiger, Aubert & Istas (2022). Satellite magnetic data reveal interannual waves in Earth’s core.PNAS 119, e2115258119; DOI 10.1073/pnas.2115258119.
  38. Istas, Gillet, Finlay, Hammer & Huder (2023). Transient core surface dynamics from ground and satellite geomagnetic data.Geophysical Journal International. Magneto-Coriolis wave activity in bands near 3.5, 7 and 15 years.
  39. Finlay, Gillet, Aubert et al. (2023). Gyres, jets and waves in the Earth’s core.Nature Reviews Earth & Environment 4, 377–392.
  40. Wang, Vidale, Pang, Koper & Wang (2024). Inner core backtracking by seismic waveform change reversals.Nature; DOI 10.1038/s41586-024-07536-4. Repeating earthquakes 1991–2023.
  41. Madsen, Howard, Brown & Whaler (2026). Principal component analysis of the 2010 reversal of core-surface flow beneath the Pacific Ocean.Journal of Studies of Earth’s Deep Interior 2. Published 6 May 2026 after peer review. Core flow inferred from 1997–2025 magnetic secular variation; an inner-core connection is explicitly a hypothesis.
  42. Zhang & Dumberry (2026). Gravitational torque drives multidecadal variations in length of day.Nature, published 23 September 2026. Observation-constrained torque reconstruction: inner-core–mantle gravitational torque drives the multidecadal component; electromagnetic and topographic torques generally oppose it.
  43. Kiani Shahvandi et al. (2024). Contributions of core, mantle and climatological processes to Earth’s polar motion.Nature Geoscience 17, 705–710. Model attribution of rotational polar motion; about 90% of interannual and multidecadal variation attributed to surface mass redistribution. This is not magnetic-pole motion.
  44. Larsen, Usoskin, Mishev, Koldobskiy & Väisänen (2026). Reduced Geomagnetic Shielding During the Laschamps Excursion and Its Impact on Cosmic-Ray-Induced Atmospheric Radiation.JGR: Space Physics 131, e2025JA034820. Figures 5, 7 and 8; LSMOD.2, OTSO cutoff tracing and radiation yield functions. Fixed 40,000-ft routes; a hypothetical replay of the February 1956 GLE.
  45. Arsenović et al. (2024). Global impacts of an extreme solar particle event under different geomagnetic field strengths.PNAS 121, e2321770121. Chemistry–climate scenarios; headline UV and DNA-damage-proxy changes refer to the no-geomagnetic-field boundary case, not to the present South Atlantic Anomaly.
  46. Cazenave, Pfeffer, Mandea, Dehant & Gillet (2025). Why is the Earth System Oscillating at a 6-Year Period?Surveys in Geophysics 46, 503–528. Review of subdecadal signals across core, rotation and climate records; proposed coupling mechanisms remain unresolved. The quoted period is approximate, not an exact clock.
  47. Brown et al. (2018). Earth’s magnetic field is probably not reversing.PNAS 115, 5111–5116; DOI 10.1073/pnas.1722110115. Reconstructed SAA-like states that did not develop into excursions.
  48. Panovska, Korte & Constable (2019). One hundred thousand years of geomagnetic field evolution.Reviews of Geophysics 57, 1289–1337; DOI 10.1029/2019RG000656. Factor-of-four dipole variation; SAA-like states not linked to excursion initiation.
  49. Nilsson, Suttie, Stoner & Muscheler (2022). Recurrent ancient geomagnetic field anomalies shed light on future evolution of the South Atlantic Anomaly.PNAS 119, e2200749119; DOI 10.1073/pnas.2200749119. A 9,000-year field model and a 600 BCE analogue.
  50. Long-term persistency of a strong non-dipole field in the South Atlantic (2024).Nature Communications, published 1 November 2024. Trindade and regional paleomagnetic directions over 0–10 Ma; persistent non-dipole structure is not evidence for uninterrupted low intensity.
  51. Panovska, Constable & Korte (2018). Extending global continuous geomagnetic field reconstructions on timescales beyond human civilization.Geochemistry, Geophysics, Geosystems 19; DOI 10.1029/2018GC007966. GGF100k model and its 50-year dipole series (EarthRef ERDA 2382).
  52. Korte, Brown, Panovska & Wardinski (2019). Robust characteristics of the Laschamp and Mono Lake geomagnetic excursions: results from global field models.Frontiers in Earth Science 7, 86; DOI 10.3389/feart.2019.00086. LSMOD.2 coefficients from GFZ Data Services, DOI 10.5880/GFZ.2.3.2019.001.
  53. Mukhopadhyay, Panovska, Garvey, Liemohn et al. (2025). Wandering of the auroral oval 41,000 years ago.Science Advances 11, eadq7275; DOI 10.1126/sciadv.adq7275.
  54. Panovska, Korte, Liu & Nowaczyk (2021). Global Evolution and Dynamics of the Geomagnetic Field in the 15–70 kyr Period Based on Selected Paleomagnetic Sediment Records.JGR: Solid Earth 126, e2021JB022681. GGFSS70; nine high-resolution sediment records. Section 4: dipole minima and brief axial sign change. Values transcribed from the paper; coefficients not evaluated here.
  55. Channell, Singer & Jicha (2020). Timing of Quaternary geomagnetic reversals and excursions in volcanic and sedimentary archives.Quaternary Science Reviews 228, 106114. Synthesis of excursion and reversal ages.
  56. Roberts (2008). Geomagnetic excursions: knowns and unknowns.Geophysical Research Letters 35, L17307. Validated Brunhes excursions, durations and open questions.
  57. Channell (2006). Late Brunhes polarity excursions (Mono Lake, Laschamp, Iceland Basin and Pringle Falls) recorded at ODP Site 919 (Irminger Basin).Earth and Planetary Science Letters. Excursion intervals from an oxygen-isotope age model.
  58. Ogg (2020). Geomagnetic Polarity Time Scale. In Gradstein et al., Geologic Time Scale 2020.Elsevier, chapter 5. Chron boundaries as distributed with PmagPy (gts20).
  59. Davies & Constable (2020). Rapid geomagnetic changes inferred from Earth observations and numerical simulations.Nature Communications 11, 3371; DOI 10.1038/s41467-020-16888-0.
  60. Singer, Jicha, Mochizuki & Coe (2019). Synchronizing volcanic, sedimentary, and ice core records of Earth’s last magnetic polarity reversal.Science Advances 5, eaaw4621; DOI 10.1126/sciadv.aaw4621. Duration and structure of the Matuyama–Brunhes reversal.
  61. Cooper et al. (2021). A global environmental crisis 42,000 years ago.Science 371, 811–818.
  62. Comment on “A global environmental crisis 42,000 years ago” (2021).Science 374. Published critique of the claimed environmental and human consequences, with the authors’ response.
  63. Dunne et al. (2016). Global atmospheric particle formation from CERN CLOUD measurements.Science 354; DOI 10.1126/science.aaf2649. Ion-induced nucleation and its small solar-cycle effect on cloud condensation nuclei.
  64. Pierce & Adams (2009). Can cosmic rays affect cloud condensation nuclei by altering new particle formation rates?Geophysical Research Letters 36. Solar-cycle changes about two orders of magnitude too small to explain observed cloud changes.
  65. Owens, Barnard, Pope, Lockwood, Usoskin & Asvestari (2022). Solar Energetic-Particle Ground-Level Enhancements and the Solar Cycle.Solar Physics 297, 105. Sixty-seven GLEs; about fourfold occurrence contrast between solar maximum and minimum. GLE timing and geomagnetic-storm timing are not interchangeable.
  66. Usoskin, Miyake & Golubenko (2026). Can Solar Cyclic Variability Mimic Extreme Solar Particle (Miyake) Events in Radiocarbon?JGR: Space Physics 131, e2026JA035427. Solar modulation and carbon-cycle filtering. The reference event is 100 times the 20 January 2005 GLE69, not the 1956 GLE used in the flight-dose comparison.
  67. Vasilyev et al. (2024). Sun-like stars produce superflares roughly once per century.Science 386, 1301–1305. Kepler sample: 2,889 superflares on 2,527 of 56,450 Sun-like stars; energy above 10³⁴ erg. Stellar electromagnetic emission is not an Earth-directed particle-event forecast.
  68. NASA (2020). Researchers track slowly splitting “dent” in Earth’s magnetic field.South Atlantic Anomaly, spacecraft exposure and monitoring.
  69. Oughton et al. (2026). Major space weather risks identified via coupled physics–engineering–economic modeling.AGU Advances, published 4 September 2026. U.S. thermal-stress scenarios with conditional uncertainty.
  70. Parker, Brown & Linares (2025). Greenhouse gases reduce the satellite carrying capacity of low Earth orbit.Nature Sustainability 8, 363–372, corrected 30 April 2025. Thermospheric contraction, debris residence and carrying capacity.
  71. Matzka et al. (2021), with GFZ Kp records through 1 October 2026.The geomagnetic Kp index and derived indices of geomagnetic activity. Severe storms are days with maximum Kp ≥ 8−, merged when separated by at most one quiet day; comparisons keep solar-cycle and seasonal structure.
  72. WDC-SILSO, Royal Observatory of Belgium. International sunspot number, monthly and 13-month smoothed.Accessed 2 October 2026; smoothed values available to March 2026.
  73. Journal of Space Weather and Space Climate (2025). Supersubstorms during the May 2024 superstorm.DOI 10.1051/swsc/2025047. Dst and SYM-H rankings of the May 2024 storm against 1957–2024 events.
  74. Tracking reentries of Starlink satellites during the rising phase of Solar Cycle 25 (2025).Preprint, arXiv:2505.13752; not peer reviewed. Storm-time decay of tracked satellites.
  75. GeoPhasix. Recovery, continuity, particle-balance and transient models.Equations and assumptions in the analytical reference: repair feedback, continuity bounds, timed energy, shared-capacity feasibility, category-count identification and recovery overlap. Illustrative parameters are explicit.
  76. Feng et al. (2025). Hurricane Ida’s blackout–heatwave compound risk in a changing climate.Nature Communications 16, 4533. Louisiana customer-hours of outage under heat-index exposure.
  77. Stone et al. (2023). How blackouts during heat waves amplify mortality and morbidity risk.Environmental Science & Technology 57, 8245–8255. Simulated heat–blackout health impacts in three U.S. cities.
  78. Puccetti & Wang (2015). Extremal Dependence Concepts.Statistical Science 30, 485–517; DOI 10.1214/15-STS525. Comonotonic and countermonotonic rearrangements under fixed marginal distributions.
  79. FCC (2024). Communications Status Reports for Areas Impacted by Hurricane Helene, 26 September–19 October 2024.Twenty-four daily reports. Cell sites out of service by county and cause, and sites running on backup power.
  80. FCC (2021). Communications Status Reports for Areas Impacted by Hurricane Ida, 30 August–14 September 2021.Sixteen daily reports. Cell sites out of service by parish and cause: damage, transport and power.
  81. Brelsford et al. (2023). The Environment for Analysis of Geo-Located Energy Information’s Recorded Electricity Outages 2014–2025.Oak Ridge National Laboratory, figshare dataset, version 4. County customer outages at 15-minute resolution with modeled customer counts.
  82. NCDOT (2024). NCDOT urges people to avoid travel in western N.C.Published 28 September 2024. About 390 closures, including more than 60 primary-route closures; road and communications constraints on recovery.
  83. Congressional Research Service (2024). Restoration of Cell Phone Services: Hurricane Helene.In Focus IF12779, 8 October 2024. Access to cell sites, fibre damage and generator resupply during restoration.
  84. AT&T (2024). Hurricane Beryl network recovery updates.Operator statements for 10–13 July 2024: generator deployment, refuelling and wireless network status. Scope is one operator, with its own operational definitions.
  85. NERC (2025). Considering simultaneous voltage-sensitive load reductions.Incident review, 8 January 2025. July 2024 data-centre transfer-to-backup event; approximately 1,500 MW load loss, contained frequency and voltage response, and control coordination.
  86. Duan, Zhang & Li (2025). Uncovering cooling center usage as an adaptation strategy for hurricane-blackout-heat compound hazards during Hurricane Beryl (2024).npj Natural Hazards 2, 53. Area-level mobility observations for 101 cooling centres in Harris County; proximity and use, not individual health outcomes.
  87. Chekroun & Lucarini (2026). Ruelle–Pollicott theory for metastable systems.Preprint, 2 September 2026. Recovery, escape and observable-dependent amplification in metastable systems.
  88. Mac Manus et al. (2025). Implementing geomagnetically induced currents mitigation during the May 2024 Gannon storm.Space Weather 23, e2025SW004388. Monitored currents and a modeled no-mitigation comparison in New Zealand.
  89. Shepherd et al. (2018). Storylines: an alternative approach to representing uncertainty in physical aspects of climate change.Climatic Change 151, 555–571. Physically coherent conditional scenarios.
  90. WMO (2026). El Niño set to become very strong, raising risks of extreme weather into 2027.Published 3 September 2026. Seasonal forecast; El Niño persistence and intensity, not a local disaster forecast.
  91. WMO and Met Office (2026). New report suggests more global temperature records ahead.Published 28 May 2026. 2026–2030 probabilities, retained at their original issue date.
  92. GeoPhasix (2026). Baseline-sensitive comparison of the GGF100k dipole series.Rounded 200-year runtime; piecewise-linear time means; not a new coefficient or posterior-ensemble evaluation.
  93. Knudsen et al. (2008). Variations in the geomagnetic dipole moment during the Holocene and the past 50 kyr.Axial dipole reconstruction; empirical suggestion near 4 × 10²² A m², not a calibrated modern warning threshold.
  94. Ebihara et al. (2021). How Do Auroral Substorms Depend on Earth’s Dipole Magnetic Moment?.11.64 is a high-dipole simulation input linked to a Holocene peak in Knudsen et al.; not a Holocene mean.
  95. Nilsson et al. (2024). Holocene solar activity inferred from global and hemispherical cosmic-ray proxy records.Hemispheric geomagnetic bias and solar-proxy separation; joint inversion is not independent replication.
  96. Schanner et al. (2026). A Hierarchical Bayesian Model for the Global Holocene Geomagnetic Field.ArchKalmag8k; uncertain ancient anomalies and a more pronounced modern SAA in the model comparison.
  97. Gwirtz et al. (2021). Can one use Earth’s magnetic axial dipole field intensity to predict reversals?.Low-dipole event definitions and optimized warning thresholds are distinct; forecast skill is model-dependent.
  98. Buffett (2024). Excursions, Reversals, and Secular Variation: Different Expressions of a Common Mechanism?.Trend persistence across temporal scales; ordinary variability and large transitions can share dynamics.
  99. Rogers, Beggan & Whaler (2025). The impact of LLVPs on regional secular variation of the magnetic field.Regional secular-variation differences; no systematic suppression under LLVPs in the reported analysis.
  100. Aubert & Finlay (2019). Geomagnetic jerks and rapid hydromagnetic waves focusing at Earth’s core surface.Numerical mechanism for rapid localized secular-acceleration changes; not a reversal clock.
  101. Beer et al. (2025). Heliomagnetic and geomagnetic activity cycles on millennial timescales.EDML 145-kyr spectral analysis; production/system classifications; solar–geomagnetic attribution unresolved.
  102. Opher, Loeb & Peek (2024). A possible direct exposure of the Earth to the cold dense interstellar medium 2–3 Myr ago.Conditional cold-cloud MHD model; 3,000 cm⁻³, 20 K, 14.1 km/s; heliopause about 0.22 AU.
  103. Opher et al. (2026). Increased and varied radiation during the Sun’s encounters with cold clouds in the last 10 million years.Published 11 February 2026. Heliopause compression and HEP acceleration scenarios; spectra outside the magnetosphere, not surface doses.
  104. Koll, Feige, Lachner & Wallner (2026). No indication of a strong increase in galactic cosmic ray intensity 2–3 Myr ago from cosmogenic nuclides.Published 14 April 2026. Geological non-detection challenges prolonged strong GCR enhancement.
  105. Opher et al. (2026). Reply to: No indication of a strong increase in galactic cosmic ray intensity 2–3 Myr ago from cosmogenic nuclides.Published 14 April 2026. Counterarguments concern encounter duration, density structure and latitude-dependent production.
  106. Nica et al. (2026). Cosmogenic 10Be as a Tracer for Recent Heliospheric Encounters with Interstellar Cold Clouds and Nearby Supernovae.Preprint; not peer reviewed. Fixed modern dipole; 9×/3× production in specified compression models; no atmospheric/ocean mixing in setup.
  107. Koll et al. (2026). Local Interstellar Cloud Structure Imprinted in Antarctic Ice by Supernova 60Fe.Published 13 May 2026. 40–81 kyr ice, material-influx evidence; prospective LIC exit estimates summarized as the next 2,000–6,000 years; possible current LIC/G-cloud mixing distinguished.
  108. Linsky & Redfield (2023). Creating a new paradigm for the local interstellar medium–A perspective.Competing local-cloud geometries; warm-cloud boundary proximity is not a cold dense-cloud collision.
  109. Koll et al. (2026). The timing of the last r-process event near Earth from interstellar 60Fe, 244Pu and 247Cm deposition on Earth.Published 15 June 2026. Distinct radionuclide delivery histories; 60Fe and 244Pu profiles not correlated.
  110. Koll et al. (2025). A cosmogenic 10Be anomaly during the late Miocene as independent time marker for marine archives.Published 10 February 2025. Marine anomaly near 10 Ma; attribution does not establish present exposure.
  111. Konietzka et al. (2024). The Radcliffe Wave is oscillating.Spatial and vertical dynamics of Galactic star-forming gas, not a dated electromagnetic pulse at Earth.
  112. LaViolette (1987). Cosmic-ray volleys from the galactic center and their recent impact on the Earth environment.Earth, Moon, and Planets 37, 241–286. Published hypothesis; no independently calibrated modern arrival forecast established here.
  113. Piersanti et al. (2023). Evidence of an upper ionospheric electric field perturbation correlated with a gamma ray burst.GRB 221009A on 9 October 2022: an observed upper-atmospheric response, not a core-field reversal.
  114. Golubenko et al. (2025). New SOCOL:14C-Ex model reveals that the Late-Glacial radiocarbon spike in 12350 BC was caused by the record-strong extreme solar storm.Online 28 April 2025; July issue. Estimated strength 18 ± 11% above AD 775; isotope amplitude is not particle fluence.
  115. WDC-SILSO / SIDC (2026). Solar Cycle 25 reached its maximum in October 2024.Smoothed sunspot maximum 161; checked 2 October 2026, not a new storm catalogue.
  116. SIDC / STCE (2026). We’re not done yet!.X5+ flare timing in equal one-year bins over cycles 21–24; not Earth-directed CME or Kp probabilities.
  117. Opher (2026). Understanding the Heliospheric Shield: Laying the Groundwork to Predict Habitable Astrospheres.Review in advance 28 May; volume August 2026. Recurrent encounters proposed on million-year scales; not a Holocene clock.
  118. IAGA / NOAA NCEI (2025). IGRF-14 degree-one coefficients, 2025.g10 = −29350.0, g11 = −1410.3, h11 = 4545.5 nT; radius 6371.2 km. Axial 7.5905, total 7.6897 × 10²² A m².
  119. Vannier et al. (2025). Mapping Our Path through the Local Interstellar Medium: High-resolution Ultraviolet Absorption Spectroscopy of Sight Lines along the Sun’s Historical Trajectory.Hubble/STIS sight lines along the historical solar trajectory; changing nearby warm-cloud environment; non-detection of cold dense material limited to observed directions.
Back to the beginning ↑
↑