气候变化领域集成服务门户(CCPortal): Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem

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DOI	10.5194/acp-21-4357-2021
	Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem
	Dai T.; Cheng Y.; Goto D.; Li Y.; Tang X.; Shi G.; Nakajima T.
发表日期	2021
ISSN	1680-7316
起始页码	4357
结束页码	4379
卷号	21 期号:6
英文摘要	The anthropogenic emission of sulfur dioxide (SO2) over China has significantly declined as a consequence of the clean air actions. In this study, we have developed a new emission inversion system based on a fourdimensional local ensemble transform Kalman filter (4DLETKF) and the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to dynamically update the SO2 emission grid by grid over China by assimilating the ground-based hourly SO2 observations. Sensitivity tests for the assimilation system have been conducted firstly to tune four system parameters: ensemble size, horizontal and temporal localization lengths, and perturbation size. Our results reveal that the same random perturbation factors used throughout the whole model grids with assimilating observations within about 180 km can efficiently optimize the SO2 emission, whereas the ensemble size has only little effect. The temporal localization by assimilating only the subsequent hourly observations can reveal the diurnal variation of the SO2 emission, which is better than updating the magnitude of SO2 emission every 12 h by assimilating all the observations within the 12 h window. The inverted SO2 emission over China in November 2016 has declined by an average of 49.4% since 2010, which is well in agreement with the bottom-up estimation of 48.0 %. Larger reductions of SO2 emission are found over the a priori higher source regions such as the Yangtze River Delta (YRD). The simulated SO2 surface mass concentrations using two distinguished chemical reaction mechanisms are both much more comparable to the observations with the newly inverted SO2 emission than those with the a priori emission. These indicate that the newly developed emission inversion system can efficiently update the SO2 emissions based on the routine surface SO2 observations. The reduced SO2 emission induces the sulfate and PM2:5 surface concentrations to decrease by up to 10 μgm-3 over central China. © 2021 EDP Sciences. All rights reserved.
语种	英语
scopus关键词	anthropogenic source; atmospheric pollution; concentration (composition); diurnal variation; emission control; Kalman filter; particulate matter; sulfur dioxide; China; Yangtze Delta; Yangtze River
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/247044
作者单位	State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; National Institute for Environmental Studies, Tsukuba, Japan; Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Dai T.,Cheng Y.,Goto D.,et al. Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem[J],2021,21(6).
APA	Dai T..,Cheng Y..,Goto D..,Li Y..,Tang X..,...&Nakajima T..(2021).Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(6).
MLA	Dai T.,et al."Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.6(2021).