800 datasets found

WildfireTaskForce.org As California works toward ambitious wildfire and landscape resilience goals, transparency and effective planning tools are critical to success. The...

The 30-year historical simulation using the WRF model that is forced by NOAA CFSR initial/boundary conditions. This model has the 1.5 km horizontal resolution....

A 2 km historical dataset produced with downscaled reanalysis data across far Southern California. This dataset was optimized for atmospheric river events and winter storms and...

WRF model initialized with NAM boundary conditions and optimized for summer monsoon/hot and humid events. This model is run at a 2 km horizontal resolution with 51 vertical...

Dead fuel moisture and related variables derived from the National Fire Danger Rating System (NFDRS) algorithms using the SDG&E Operational Ensemble NAM 001 WRF model....

WRF model initialized with NAM boundary conditions and optimized for Santa Ana wind conditions. This model is run at a 2 km horizontal resolution with 52 vertical levels up to...

WRF model initialized with GFS boundary conditions and optimized for summer monsoon/hot and humid events. This model is run at a 2 km horizontal resolution with 51 vertical...

Dead fuel moisture and related variables derived from the National Fire Danger Rating System (NFDRS) algorithms using the SDG&E Operational Ensemble GFS 001 WRF model....

WRF model initialized with GFS boundary conditions and optimized for Santa Ana wind conditions. This model has a 6 km horizontal resolution with 46 vertical levels up to 100 mb....

Fire detections from the operational National Oceanic and Atmospheric Administration (NOAA) Geostationary Operational Environmental Satellite (GOES) satellites. Data published...

Empowering educational institutes with weather and environmental data for learning and research.

FastFuels is a tool used to generate spatially explicit, detailed 3D fuels data for large areas used in 3D fire models. FastFuels is envisioned as a 3D fuels “superhighway”,...

open source software framework to create servers that are used to process and visualize a multiple of wildfire related static and dynamic data from ground sensors, satellites,...

As part of the Pyrecast project, ELMFIRE is used to forecast the spread of most large fires in the Continental US. The mathematical formulation of ELMFIRE is presented...

Prithvi-EO-2.0 is the second generation EO foundation model jointly developed by IBM, NASA, and Jülich Supercomputing Centre. Original publication of the model can be found here.

The Santa Ana Wildfire Threat Index (SAWTI) categorizes Santa Ana winds based on anticipated fire potential. The index uses a comprehensive, state-of-the-art predictive model...

Four-day wind gust forecasts for weather stations in the San Diego Gas & Electric (SDG&E) weather network. A mix of machine learning techniques and a WRF (Weather...

WildfireTaskForce.org As California works toward ambitious wildfire and landscape resilience goals, transparency and effective planning tools are critical to success. The...

This dataset provides an initial offering as "best available" at 1:24,000 scale. Hosted on CAL FIRE AGOL. In late 1996, the Dept of Conservation (DOC) surveyed state and federal...

Throughout the state, CAL FIRE has 21 operational units that are designed to address fire suppression over a certain geographic area. Each unit operates within their local...