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DOI10.1088/1748-9326/abb5cc
Inverse modeling of NH3sources using CrIS remote sensing measurements
Cao H.; Henze D.K.; Shephard M.W.; Dammers E.; Cady-Pereira K.; Alvarado M.; Lonsdale C.; Luo G.; Yu F.; Zhu L.; Danielson C.G.; Edgerton E.S.
发表日期2020
ISSN17489318
卷号15期号:10
英文摘要Spatiotemporal uncertainty in NH3 emissions in the US hinders prediction of environmental effects of atmospheric NH3. We conducted 4D-Var inversions using CrIS remote-sensing observations and GEOS-Chem to estimate monthly NH3 emissions over the contiguous US at the 0.25°× 0.3125° resolution in 2014, finding they are 33% higher than the prior emissions which likely underestimated most agricultural emissions, especially intense springtime fertilizer and livestock sources over the Central US. However, decreases were found in the Central Valley, southern Minnesota, northern Iowa and southeastern North Carolina during warm months. These updates increased the correlation coefficient between modeled monthly mean NH3 and surface observations from 0.53 to 0.84, and reduced the normalized mean bias of annual mean simulated NH3 and wet NH4+ by a factor of 1.3 to 12.7. Our satellite-based inversion approach thus holds promise for improving estimates of PM2.5 and reactive nitrogen deposition throughout the world where NH3 measurements are scarce. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词4D-Var inversion; CrIS NH3; NH3 emissions
语种英语
scopus关键词Agricultural robots; Agriculture; Ammonia; Infrared devices; Inverse problems; Remote sensing; Sounding apparatus; Agricultural emissions; Annual mean; Correlation coefficient; Inverse modeling; Minnesota; North Carolina; Reactive nitrogen; Surface observation; Chromium compounds; ammonia; measurement method; modeling; pollutant source; remote sensing
来源期刊Environmental Research Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/153567
作者单位University of Colorado Boulder, Boulder, United States; Environment Canada, Toronto, ON, Canada; Atmospheric and Environmental Research Inc., United States; University at Albany, New York, United States; School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou, 510275, China; Wisconsin State Laboratory of Hygiene, University of Wisconsin-Madison, Madison, United States; Atmospheric Research and Analysis, Inc., Cary, NC, United States
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Cao H.,Henze D.K.,Shephard M.W.,et al. Inverse modeling of NH3sources using CrIS remote sensing measurements[J],2020,15(10).
APA Cao H..,Henze D.K..,Shephard M.W..,Dammers E..,Cady-Pereira K..,...&Edgerton E.S..(2020).Inverse modeling of NH3sources using CrIS remote sensing measurements.Environmental Research Letters,15(10).
MLA Cao H.,et al."Inverse modeling of NH3sources using CrIS remote sensing measurements".Environmental Research Letters 15.10(2020).
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