EMBER: Expedited Modeling of Burn Events Results for Wildfire Air Quality
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Description
EPA's EMBER dataset provides modeling input and output files to support state, local, and Tribal air agencies in wildfire Exceptional Events demonstrations. The data covers fire impacts for the 2023 fire season and includes summary tables and graphics for 2021, 2022, 2024, and 2025. The full model files are publicly released on AWS Open Data to aid in constructing potential demonstrations.
Use Cases
Modeling wildfire impacts on air quality based on the described fire impacts modeling data.
Constructing Exceptional Events demonstrations for regulatory purposes based on the provided model input and output files.
Analyzing trends in fire season impacts across multiple years (2021-2025) based on the summary tables and graphics.
Strengths
Data is produced and released by the U.S. Environmental Protection Agency, an authoritative source.
Covers multiple fire seasons, including 2021, 2022, 2023, 2024, and 2025.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and total dataset size are unknown, which may limit suitability assessment.
Provenance
Source
U.S. Environmental Protection Agency
Collection Method
Modeling output from the Expedited Modeling of Burn Events Results (EMBER) system.
Time Range
Covers the 2023 fire season, with summary data for 2021, 2022, 2024, and 2025.
Freshness
Data was updated in December 2024 to include new years, but a specific last updated date is unknown.
Geography
Likely covers the United States, but specific spatial coverage is not detailed in the input.
Data is released under a U.S. Public Domain (us-pd) license.