Cecil Earth / Risk / Climate Hazard Diagnostics - Wildfire
Risk by Emmi

Climate Hazard Diagnostics - Wildfire

This dataset quantifies fire hazard intensity, fire danger days, fire occurrence probability, and asset average annual loss at 0.1° (~11 km) spatial resolution, with global coverage. Data includes a historical baseline (1980) and projections for 2030, 2050, and 2080 under IPCC climate scenarios RCP2.6, RCP4.5, RCP6.0, and RCP8.5.

Frameworks

TCFD ISSB S2 CSRD ESRS E1 TNFD

Use cases

  • Physical climate risk screening for TCFD and ISSB S2 disclosure
  • Asset-level average annual loss quantification under RCP4.5 and RCP8.5
  • Infrastructure site selection using multi-hazard climate diagnostics
  • Portfolio stress-testing against 2030, 2050, and 2080 climate scenarios

Who uses this

Utilities operators, real estate investors in fire-prone regions, and agricultural landowners use this dataset to quantify fire danger days and expected asset loss under future climate scenarios. Corporate risk teams with distributed infrastructure — power lines, communications towers, timber — use it to prioritise physical hardening investment. TCFD and ISSB S2 reporters use the scenario projections to substantiate forward-looking physical risk disclosures through 2080.

In this category

Access this dataset

Available via the Cecil API and Python SDK. One agreement covers all 40+ datasets.

pip install cecil
Technical documentation → Get API key →

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