AMAP SLCF EG Pan-Arctic Fire Emissions Model
Custom pan-Arctic open biomass burning emissions model for the year 2018 using Suomi-NPP VIIRS active fire from day and night detections (Oliva and Schroeder, 2015). Each detect was assumed to completely burn each 375 m2 pixel. A ‘best-guess’ land cover was created, from three different land cover p...
Main Authors: | , |
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Format: | Dataset |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://zenodo.org/record/4648723 https://doi.org/10.5281/zenodo.4648723 |
Summary: | Custom pan-Arctic open biomass burning emissions model for the year 2018 using Suomi-NPP VIIRS active fire from day and night detections (Oliva and Schroeder, 2015). Each detect was assumed to completely burn each 375 m2 pixel. A ‘best-guess’ land cover was created, from three different land cover products. The 750 m VIIRS Surface Type land cover product (Zhang et al., 2018) was used for North America, Greenland, and the Russian Federation, augmented by the revised 1 km Circumpolar Arctic Vegetation Map (Raster CAVM; Raynolds et al., 2019). For Norway, Sweden, and Finland, the 10 m Land Cover Map of Europe 2017 from the Sentinel-2 Global Land Cover Project (Gromny et al., 2019) was used. All land cover maps were reclassified into the International Geosphere-Biosphere Program (IGBP) classes for ease of emission calculations. Fuel loadings and combustion completeness were taken from Van Leeuwen et al. (2014), with tundra values used for Greenland. Emission factors were taken from Akagi et al. (2011), with updates from Andreae (2019). Atmospheric species include black carbon, methane, and PM2.5. Data is CSV with lat/lon location of each fire. "Best guess" land cover class is bg_lc and uses IGBP classification codes. This dataset was produced with the financial support of the European Union via the EU-funded Action on Black Carbon in the Arctic. Its contents are the sole responsibility of J.L.M and J.J.F., and do not necessarily reflect the views of the European Union. |
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