FireBench: 2021 Caldor Benchmarks for Fire Models
FireBench: 2021 Caldor Benchmarks for Fire Models
This collection of benchmarks uses the public resources about the 2021 Caldor Fire.It contains a script based on the FireBench Python library to run over 300 benchmarks related to building damage, burn severity, canopy cover loss, fire perimeters, and weather stations. It contains observation datasets for:- Building damaged (CALFIRE)- Burn severity (MTBS)- Burn severity (RAVG)- Canopy bottom height (LANDFIRE)- Canopy bulk density (LANDFIRE)- Canopy cover loss (RAVG)- Canopy height (LANDFIRE)- Infrared fire perimeters (NIROPS)- Live basal area change (RAVG)- Weather stations (Synoptic) See FireBench documentation for more information about this dataset. Licenses for each dataset are contained within the distributed dataset.
- San Jose State University Foundation United States
- Worcester Polytechnic Institute United States
- San Jose State University United States
model evaluation, model intercomparison, fire model, wildfire modeling, benchmarking, wildfire
model evaluation, model intercomparison, fire model, wildfire modeling, benchmarking, wildfire
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