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StormCast

Storms & windStormCast v1.0

StormCast scores convective storm and damaging-gust attention from CAPE, lifted index (both CIN-dampened), forecast wind gusts, probability-weighted heavy rain and 3 h pressure falls. It flags ingredients — never an exact storm path.

Run StormCast

Live mode uses keyless open providers; demo mode is deterministic and offline. Missing data lowers confidence — it never fakes a value.

Score formula

StormCast = 0.25·cape + 0.20·lifted_index_instability + 0.20·wind_gusts + 0.20·heavy_precip_probability + 0.10·pressure_change + 0.05·lightning_potential
25%cape_score
20%lifted_index_instability
20%wind_gust_score
20%heavy_precip_probability
10%pressure_change_context
5%lightning_potential_score

Required inputs

  • CAPE (J/kg), lifted index (K)
  • wind gusts (km/h)
  • precipitation probability + intensity

Optional inputs

  • convective inhibition (J/kg)
  • MSL pressure 3 h change (hPa)
  • lightning potential (regional models only)

Missing optional inputs drop their formula term (weights renormalize) and reduce confidence — the engine never crashes or invents data.

Decision modes

calm
Calm

No significant convective ingredients.

storm_watch
Storm watch

Instability and trigger ingredients are elevated.

severe_gust_attention
Severe gust attention

Damaging wind gusts are the leading concern.

convective_rain_attention
Convective rain attention

Thunderstorm downpours are the leading concern.

insufficient_data
Insufficient data

Not enough instability/wind data to assess.

Limitations

Model card

StormCast is a self-built TerraSentinel engine: external providers supply live environmental variables; the score, mode, confidence, explanation and actions above are computed by this project’s own documented model. Provider risk indexes are used only as benchmark references and never as the output. API: GET /api/engines/stormcast/run?lat=&lon=

TerraSentinel is a decision-support tool and does not replace official emergency services, government warnings, or professional environmental management decisions.