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

被引:1
|
作者
Fu, Yuyun [1 ,2 ]
Li, Rui [1 ,2 ]
Hu, Jiheng [1 ]
Wang, Yipu [1 ]
Duan, Jiawei [1 ]
机构
[1] Univ Sci & Technol China, Comparat Planetary Excellence Innovat Ctr, Sch Earth & Space Sci, State Key Lab Fire Sci,MEM Key Lab Forest Fire Mo, Hefei 230026, Peoples R China
[2] Univ Quebec Abitibi Temiscamingue UQAT, Inst Rech forets, Rouyn Noranda, PQ J9X5E4, Canada
来源
DATA IN BRIEF | 2022年 / 45卷
基金
中国国家自然科学基金;
关键词
Fire emission; Top-down approach; FRP; Nitrogen oxides; VIIRS;
D O I
10.1016/j.dib.2022.108734
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Fire emission is a major source of atmospheric nitrogen ox-ides (NOx = NO2 + NO), accounting for a large part of global NOx emission, which profoundly changes atmosphere physic-ochemical property and impacts human society. An effective evaluation of these impacts relies on accurate NOx fire emis-sion estimation. In this article, we developed a full top-down NOx fire emission dataset for northeastern Asia based on the satellite-derived emission coefficient (EC) and fire radiative power (FRP) density. In the dataset, daily NOx fire emissions during 2012-2019 were estimated at 1 degrees x1 degrees resolution across northeastern Asia, which can be used as fundamental input data in driving climate and weather models, and can be ap-plied 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 refer-ence for other existing emission inventories that are mostly based on bottom-up approaches.(c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数:5
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