Published April 1, 2021 | Version 1.0.0
Dataset Open

AMAP SLCF EG Pan-Arctic Fire Emissions Model

  • 1. Miami University

Description

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.

Notes

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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amap_slcf_fire_emissions_model.csv

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Additional details

References

  • Oliva, P. and Schroeder, W.: Assessment of VIIRS 375 m active fire detection product for direct burned area mapping, Remote Sens. Environ., 160, 144, https://doi.org/10.1016/j.rse.2015.01.010, 2015.
  • Zhang, R., Huang, C., Zhan, X., Jin, H., and Song, X. P.: Development of S-NPP VIIRS global surface type classification map using support vector machines, Int. J. Digit. Earth, 11, 212, https://doi.org/10.1080/17538947.2017.1315462, 2018.
  • Raynolds, M.K., Walker, D.A., Balser, A., Bay, C., Campbell, M., Cherosov, M.M., Daniëls, F.J.A., Eidesen, P.B., Ermokhina, K.A., Frost, G.V., Jedrzejek, B., Jorgenson, M.T., Kennedy, B.E., Kholod, S.S., Lavrinenko, I.A., Lavrinenko, O.V., Magnússon, B., Matveyeva, N.V., Metúsalemsson, S., Nilsen, L., Olthof, I., Pospelov, I.N., Pospelova, E.B., Pouliot, D., Razzhivin, V., Schaepman-Strub, G., Šibík, J., Telyatnikov, M.Y., Troeva, E.: A raster version of the Circumpolar Arctic Vegetation Map (A raster version of the Circumpolar Arctic Vegetation Map (CAVM), Remote Sens Environ, 232, 111297, https://doi.org/10.1016/j.rse.2019.111297, 2019.
  • Gromny, E., Lewiński, S., Rybicki, M., Malinowski, R., Krupiński, M., Nowakowski, A., and Jenerowicz, M.: Creation of training dataset for Sentinel-2 land cover classification, In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (Vol. 11176, p. 111763D), International Society for Optics and Photonics, available at: http://s2glc.cbk.waw.pl/, 2019.
  • Akagi, S. K., Yokelson, R.J., Wiedinmyer, C., Alvarado, M.J., Reid, J.S., Karl, T., Crounse, J.D. and Wennberg, P.O.: Emission factors for open and domestic biomass burning for use in atmospheric models, Atmos. Chem. Phys., 11, 4039, https://doi.org/10.5194/acp-11-4039-2011, 2011.
  • Andreae, M. O.: Emission of trace gases and aerosols from biomass burning – an updated assessment, Atmos. Chem. Phys., 19, 8523–8546, https://doi.org/10.5194/acp-19-8523-2019, 2019.
  • van Leeuwen, T. T., van der Werf, G. R., Hoffmann, A. A., Detmers, R. G., Rücker, G., French, N. H. F., Archibald, S., Carvalho Jr., J. A., Cook, G. D., de Groot, W. J., Hély, C., Kasischke, E. S., Kloster, S., McCarty, J. L., Pettinari, M. L., Savadogo, P., Alvarado, E. C., Boschetti, L., Manuri, S., Meyer, C. P., Siegert, F., Trollope, L. A., and Trollope, W. S. W.: Biomass burning fuel consumption rates: a field measurement database, Biogeosciences, 11, 7305–7329, https://doi.org/10.5194/bg-1