{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Jilmarie Stephens", "hasEmail": "mailto:jilmarie.stephens@colorado.edu"}, "description": "We used a Bayesian statistical model that includes projections of where people will be located on the landscape and future atmospheric conditions from downscaled climate model simulations using a moderate warming trajectory (RCP 4.5), to make predictions regarding the number, size of the 90% largest fires, and area burned by wildfires in each Environmental Protection Agency (EPA) level-3 ecoregion across the U.S. from 2020-2060", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P13UKUZB", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", "title": "Digital Data"}, {"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6549709cd34ee4b6e05c237f.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6549709cd34ee4b6e05c237f", "keyword": ["USGS:6549709cd34ee4b6e05c237f", "climate change", "climatologyMeteorologyAtmosphere", "effects of climate change", "extreme wildfires", "fires", "future wildfires", "hazards", "maximum fires"], "modified": "2026-04-08T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-124.7900, 24.4100, -66.9100, 49.3800", "theme": ["geospatial"], "title": "Predicted Number of Fires and Burned Area for CONUS (2020:2060)"}