气候变化领域集成服务门户(CCPortal): Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations

CCPortal

DOI	10.5194/acp-20-10259-2020
	Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations
	Cheol Kim H.; Chai T.; Stein A.; Kondragunta S.
发表日期	2020
ISSN	1680-7316
起始页码	10259
结束页码	10277
卷号	20 期号:17
英文摘要	Smoke forecasts have been challenged by high uncertainty in fire emission estimates. We develop an inverse modeling system, the HYSPLIT-based Emissions Inverse Modeling System for wildfires (or HEIMS-fire), that estimates wildfire emissions from the transport and dispersion of smoke plumes as measured by satellite observations. A cost function quantifies the differences between model predictions and satellite measurements, weighted by their uncertainties. The system then minimizes this cost function by adjusting smoke sources until wildfire smoke emission estimates agree well with satellite observations. Based on HYSPLIT and Geostationary Operational Environmental Satellite (GOES) Aerosol/Smoke Product (GASP), the system resolves smoke source strength as a function of time and vertical level. Using a wildfire event that took place in the southeastern United States during November 2016, we tested the system s performance and its sensitivity to varying configurations of modeling options, including vertical allocation of emissions and spatial and temporal coverage of constraining satellite observations. Compared with currently operational BlueSky emission predictions, emission estimates from this inverse modeling system outperform in both reanalysis (21 out of 21 d; 27% average root-mean-square-error change) and hindcast modes (29 out of 38 d; 6% average root-mean-square-error change) compared with satellite observed smoke mass loadings. © 2020 American Institute of Physics Inc.. All rights reserved.
语种	英语
scopus关键词	atmospheric modeling; atmospheric plume; atmospheric transport; dispersion; geostationary satellite; inverse problem; smoke; wildfire; United States
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141119
作者单位	Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD 20740, United States; Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, MD 20740, United States; National Environmental Satellite, Data and Information Service, National Oceanic and Atmospheric Administration, College Park, MD 20740, United States
推荐引用方式 GB/T 7714	Cheol Kim H.,Chai T.,Stein A.,et al. Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations[J],2020,20(17).
APA	Cheol Kim H.,Chai T.,Stein A.,&Kondragunta S..(2020).Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations.Atmospheric Chemistry and Physics,20(17).
MLA	Cheol Kim H.,et al."Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations".Atmospheric Chemistry and Physics 20.17(2020).