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Dataset of top-down nitrogen oxides fire emission estimation in northeastern Asia
Fire emission is a major source of atmospheric nitrogen oxides (NO(x) = NO(2) + NO), accounting for a large part of global NO(x) emission, which profoundly changes atmosphere physicochemical property and impacts human society. An effective evaluation of these impacts relies on accurate NO(x) fire em...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679740/ https://www.ncbi.nlm.nih.gov/pubmed/36426019 http://dx.doi.org/10.1016/j.dib.2022.108734 |
Sumario: | Fire emission is a major source of atmospheric nitrogen oxides (NO(x) = NO(2) + NO), accounting for a large part of global NO(x) emission, which profoundly changes atmosphere physicochemical property and impacts human society. An effective evaluation of these impacts relies on accurate NO(x) fire emission estimation. In this article, we developed a full top-down NO(x) fire emission dataset for northeastern Asia based on the satellite-derived emission coefficient (EC) and fire radiative power (FRP) density. In the dataset, daily NO(x) fire emissions during 2012–2019 were estimated at 1°x1° resolution across northeastern Asia, which can be used as fundamental input data in driving climate and weather models, and can be applied to investigate the characteristic of fire emission, fire-climate interaction, air pollution and human health effect. As a full top-down emission dataset, it can also serve as a reference for other existing emission inventories that are mostly based on bottom-up approaches. |
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