气候变化领域集成服务门户(CCPortal): Impact of Assimilating Meteorological Observations on Source Emissions Estimate and Chemical Simulations

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DOI	10.1029/2020GL089030
	Impact of Assimilating Meteorological Observations on Source Emissions Estimate and Chemical Simulations
	Peng Z.; Lei L.; Liu Z.; Liu H.; Chu K.; Kou X.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:20
英文摘要	The impacts of assimilating meteorological observations on source emissions estimate and chemical simulations are investigated. Using 6-hr Global Forecast System (GFS) analyses or cycling ensemble assimilation of meteorological observations have similar diurnal variations of source emissions. Compared to experiment without meteorological analyses, using 6-hr GFS analyses provides stronger diurnal variations of SO2 and NO emissions, and cycling ensemble assimilation of meteorological observations further strengthens the diurnal variations. When independently verified against the observed PM2.5, SO2, and NO2 concentrations, simulation forced by posterior source emissions with 6-hr GFS analyses produces smaller biases and errors than simulation forced by posterior source emissions without meteorological analyses. The biases and errors are generally further reduced with cycling ensemble assimilation of meteorological fields. Therefore, the advantages of cycling ensemble assimilation of meteorological observations to provide realistic meteorological fields and construct flow-dependent uncertainties of meteorological fields for estimating source emissions and chemical simulations have been demonstrated. ©2020. The Authors.
英文关键词	Sulfur dioxide; Uncertainty analysis; Chemical simulations; Diurnal variation; Global forecast systems; Meteorological analysis; Meteorological fields; Meteorological observation; NO emissions; Atmospheric movements; concentration (composition); diurnal variation; estimation method; meteorology; observational method; pollutant source; simulation
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169540
作者单位	School of Atmospheric Sciences, Nanjing University, Nanjing, China; Key Laboratory of Mesoscale Severe Weather, Ministry of Education, Nanjing University, Nanjing, China; National Center for Atmospheric Research, Boulder, CO, United States; Institute of Urban Meteorology, CMA, Beijing, China
推荐引用方式 GB/T 7714	Peng Z.,Lei L.,Liu Z.,et al. Impact of Assimilating Meteorological Observations on Source Emissions Estimate and Chemical Simulations[J],2020,47(20).
APA	Peng Z.,Lei L.,Liu Z.,Liu H.,Chu K.,&Kou X..(2020).Impact of Assimilating Meteorological Observations on Source Emissions Estimate and Chemical Simulations.Geophysical Research Letters,47(20).
MLA	Peng Z.,et al."Impact of Assimilating Meteorological Observations on Source Emissions Estimate and Chemical Simulations".Geophysical Research Letters 47.20(2020).