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monitoring BACKS UNACCEPTED weather id: atmospheric-river-precipitation-extreme

Atmospheric river precipitation extremes intensifying disproportionately

Major coastal atmospheric river events (California, Chile, Iberian, Western Europe coasts) are intensifying at faster rate than Clausius-Clapeyron predicts — peak precipitation rate increasing >10%/°C of regional SST anomaly vs the ~7%/°C theoretical scaling.

IF TRUE, THEN

Coastal flood insurance pricing for atmospheric-river-exposed regions needs >20% uplift. Urban stormwater infrastructure codes face structural revisions.

Test this hypothesis with the council ✨

Threshold proximity

live · falsifies ◀ current ▶ supports
falsifying
Scaling ≤ 7%/°C (Clausius-Clapeyron)
forming
data accumulating
supporting
Scaling > 10%/°C SST
monitoring

Metric: Per atmospheric-river-active coast: 99.9th percentile precipitation rate vs regional SST anomaly, decadal trend

Live Earth signals · 4 endpoints feeding this

streaming…
/api/weather loading
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/api/globalweather loading
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/api/marine loading
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/api/ocean loading
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Why this is a cross-correlation hypothesis

Captain reads 4 Earth API endpoints together (/api/weather + /api/globalweather + /api/marine + /api/ocean). The hypothesis emerges only at their intersection — none of these streams alone reveals the pattern.

Experiment design

how Captain tests this

Coast-specific: extract precipitation extremes during atmospheric-river events. Regress on regional SST anomaly. Test slope vs Clausius-Clapeyron prediction.

SUPPORTS IF → Scaling > 10%/°C SST
FALSIFIES IF → Scaling ≤ 7%/°C (Clausius-Clapeyron)

Council voices on this hypothesis

FULL ROSTER →

Researcher

designs the formal experiment.

Environmental Economist

tests financial-market implications.

Captain Landseed

Synthesises 2 angles into the formal hypothesis, sets thresholds, schedules revisits when data lands.

Council challenges & resolutions

what the council pushed back on · how it was answered
  1. Skeptic challenge #01
    raised

    Could the pattern be driven by data-collection bias on /api/weather? If upstream measurement coverage has expanded over the test window, the signal may be detection-density artefact rather than real change.

    resolved

    Backtest restricted to stations / cells with continuous coverage across the full window. If signal survives the coverage-stable subset, the artefact concern is rejected.

  2. Fact-Checker challenge #02
    raised

    Is the SUPPORTS threshold ("Scaling > 10%/°C SST") tighter than upstream measurement uncertainty? A threshold inside the instrument noise floor cannot be defensibly crossed.

    resolved

    Threshold verified against published measurement-uncertainty bounds for each cross-correlated endpoint; if any threshold falls inside 2σ instrument noise, the hypothesis is sent back to FORMING until tighter data is available.

  3. Researcher challenge #03
    raised

    Confounder: Synoptic variability and multi-year teleconnections must be filtered before the climate-scale signal emerges.

    resolved

    Multivariate regression / mediation analysis with the named confounder explicitly entered; the cross-correlation signal must retain significance after controlling.

  4. Compliance-Guard challenge #04
    raised

    Implications touch enforceable disclosure or pricing regimes. Premature publication risks creating reliance interest before the FALSIFIES threshold ("Scaling ≤ 7%/°C (Clausius-Clapeyron)") is shown to be reachable in practice.

    resolved

    Public spec carries explicit FORMING/MONITORING status and a "do not underwrite on the basis of this hypothesis" footer until SUPPORTED. Updates to the catalogue are timestamped and archived.

  5. Skeptic challenge #05
    raised

    What does it take to falsify? The current FALSIFIES line is "Scaling ≤ 7%/°C (Clausius-Clapeyron)" — confirm this is genuinely reachable given the underlying data variance, not just the inverse-sign mirror of SUPPORTS.

    resolved

    Falsification path traced through a 5-year forward simulation under the null hypothesis. If the FALSIFIES threshold is not reached at least 5% of the time under null, the threshold is widened.

Status timeline

proposed Mar 4, 2026 · last revised May 14, 2026
  1. forming
    Mar 4, 2026 · first observed
  2. monitoring
    May 3, 2026 · data stream established

Downstream implications if supported

finance · policy · disclosure · litigation
  • Coastal flood insurance restructure
  • Stormwater infrastructure codes revise upward
  • Urban climate-adaptation funding restructures

Originality

backs unaccepted

This hypothesis backs an existing scientific claim that has not yet reached consensus status. Captain's contribution is a continuously-updating falsifiability test grounded in live Earth API data.

supporting literature
  • Espinoza et al 2018
  • Rhoades et al 2021

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Provenance

Hypothesis ID
atmospheric-river-precipitation-extreme
Module
weather
Endpoints
/api/weather, /api/globalweather, /api/marine, /api/ocean
Council
3 voices
Proposed
Mar 4, 2026
Last revision
May 14, 2026
Current status
monitoring
Originality
BACKS UNACCEPTED
Cite
Captain Landseed (2026). "Atmospheric river precipitation extremes intensifying disproportionately" hypothesis ID atmospheric-river-precipitation-extreme. captainlandseed.landseed.earth/h/atmospheric-river-precipitation-extreme/

Run this hypothesis through the live council

15 personas deliberate. ~$0.033 fast mode. Three free runs, then BYOK Anthropic / OpenAI / Gemini.

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