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Missoula Fire Lab Emission Inventory (MFLEI) for CONUS

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NIAID Data Ecosystem2026-05-09 收录
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https://figshare.com/articles/dataset/Missoula_Fire_Lab_Emission_Inventory_MFLEI_for_CONUS/27007279
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The Missoula Fire Lab Emission Inventory (MFLEI) is a retrospective, daily wildfire emission inventory for the contiguous United States with a spatial resolution of 250 meters (m). MFLEI was produced using multiple datasets of fire activity and burned area, a newly developed wildland fuels map and an updated emission factor database. This data publication contains the 2003-2015 MFLEI estimates of daily fuel consumed and emissions of CO2, CO, CH4, and PM2.5 at 250 m spatial resolution. The inventory also includes carefully constructed uncertainty estimates for daily fuel consumption and emissions at 250 m spatial resolution. The dataset includes daily emissions and uncertainties aggregated to 10 kilometer (km) × 10 km grid. The aggregated product provides area burned, mass of fuel consumed, and emissions of CO2, CO, CH4, and PM2.5. The emission and emission uncertainty data are provided as comma-delimited ASCII text files. MFLEI fuel consumption and land cover type may be combined with published emission factor datasets to estimate emissions for hundreds of volatile organic compounds and other pollutants present in fresh wildfire smoke. This data publication contains geospatial data in raster format and tabular data. The raster datasets includes a map of the coefficient of variation of the herbaceous fuel loading, a land cover map of herbaceous, shrub, and forest type groups (FIA), and maps of the upper bound, lower bound, and best estimate of herbaceous or shrub fuel loading. These data provide wildland fire emission estimates for use in atmospheric chemistry and air quality modeling. The data may be used for scientific research and in regulatory efforts such as emission inventories and air quality management. Data may be used as inventory of wildfire fire emissions to support the design effective and efficient emission control strategies. When used in a proper air quality modeling framework, it may also be suitable for identifying smoke intrusions or events that have contributed to air pollution events in urban areas or protected air sheds. Original metadata date was 08/24/2017. Data were updated on 01/09/2018 to include two additional years of data (2014-2015). Metadata and supplemental files were updated to reflect this change, which also included updating references and sources related to these additional years of data.
创建时间:
2017-01-02
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