Dataset of top-down nitrogen oxides fire emission estimation in northeastern Asia

Fire emission is a major source of atmospheric nitrogen oxides (NO_x = NO₂ + 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.