Data sources#
We developed the Open Climate Risk (OCR) wildfire model to be reproducible, and reliant on only free, publicly available input data, enumerated below.
Overture Maps Foundation buildings dataset#
A collection of 156 million buildings in the contiguous United States.
© OpenStreetMap contributors. Available under the Open Database License.
Esri Community Maps contributors. Available under CC BY 4.0.
Global ML Building Footprints. Licensed by Microsoft under the Open Database License.
Google Open Buildings. Available under CC BY 4.0.
Qian Shi, et al. A First High-quality Vector Data of Buildings in East Asian Countries Based on a Comprehensive Large-scale Mapping Framework. Zenodo, 22 July 2023, doi:10.5281/zenodo.8174931. Available under CC BY 4.0.
Work derived from BTN 2024 ign.es. Available under CC BY 4.0
Riley et al. 2025#
An annual burn probability (BP) raster dataset at 270 m resolution, produced by the USFS.
Riley, K. L., Zimmer, S. N., Kodra, E., Grenfell, I. C., Dillon, G. K., Scott, J. H., Jaffe, M. R., Olszewski, J. H., Vogler, K. C., Finney, M. A., Short, K. C., Jolly, W. M., Brittain, S. E., Callahan, M. N. 2025. Spatial datasets of probabilistic wildfire risk components for the conterminous United States (270 m) for circa 2011 climate and projected future climate circa 2047 (updated July 1, 2025). Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2025-0006
Rasmussen et al. 2023#
A 4 km gridded hourly meteorological dataset.
Rasmussen, R. M., Chen, F., Liu, C.H., Ikeda, K., Prein, A., Kim, J., Schneider, T., Dai, A., Gochis, D., Dugger, A., Zhang, Y., Jaye, A., Dudhia, J., He, C., Harrold, M., Xue, L., Chen, S., Newman, A., Dougherty, E., Abolafia-Rosenzweig, R., Lybarger, N. D., Viger, R., Lesmes, D., Skalak, K., Brakebill, J., Cline, D., Dunne, K., Rasmussen, K., Miguez-Macho, G. 2023. CONUS404: The NCAR–USGS 4-km Long-Term Regional Hydroclimate Reanalysis over the CONUS. Bulletin of the American Meteorological Society, 104(8), E1382-E1408. https://doi.org/10.1175/BAMS-D-21-0326.1
Scott et al. 2024#
A conditional risk to potential structures (cRPS) raster dataset for the present day (circa 2023) at 30 m resolution.
Scott, J. H., Dillon, G. K., Jaffe, M. R., Vogler, K. C., Olszewski, J. H., Callahan, M. N., Karau, E. C., Lazarz, M. T., Short, K. C., Riley, K. L., Finney, M. A., Grenfell, I. C. 2024. Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. 2nd Edition. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0016-2
US Census TIGER/Line Shapefiles#
Shapefiles and identifiers for US census blocks, census tracts, counties, states, and the nation.
U.S. Census Bureau, “Suffixed Blocks”, TIGER/Line Shapefiles, 2025, https://www2.census.gov/geo/tiger/TIGER2025/TABBLOCKSUFX/
U.S. Census Bureau, “Census Tracts”, TIGER/Line Shapefiles, 2023, https://www2.census.gov/geo/tiger/TIGER2023/TRACT/
U.S. Census Bureau, “Counties (and equivalent)”, TIGER/Line Shapefiles, 2023, https://www2.census.gov/geo/tiger/TIGER2023/COUNTY/tl_2023_us_county.zip
U.S. Census Bureau, “cb_2023_us_state_500k”, TIGER/Line Shapefiles, 2023, https://www2.census.gov/geo/tiger/GENZ2023/shp/cb_2023_us_state_500k.zip
U.S. Census Bureau, “cb_2023_us_nation_5m”, TIGER/Line Shapefiles, 2023, https://www2.census.gov/geo/tiger/GENZ2023/shp/cb_2023_us_nation_5m.zip