气候变化领域集成服务门户(CCPortal): Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States

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DOI	10.1016/j.atmosenv.2020.118106
	Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States
	Zhang Q.; Li M.; Wei C.; Mizzi A.P.; Huang Y.; Gu Q.
发表日期	2021
ISSN	1352-2310
卷号	246
英文摘要	The Data Assimilation Research Testbed (DART) has been extended to be able to assimilate the column-average dry-air mole fraction of CO2 (XCO2) retrievals from the Orbiting Carbon Observatory 2 (OCO-2) satellite. Atmospheric CO2 concentrations over the Midwestern United States were estimated by the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), with and without assimilating OCO-2 retrievals by the extended-DART. To focus on evaluating the effect of the assimilation, the study period was deliberately set to January 2016, the coldest month in the dormant season, to minimize the influence of biogenic CO2 flux. Independent ground-based and flight observations, as well as the CarbonTracker 2017 products (CT2017), were used to evaluate the results of two distinct approaches. Comparing to the estimated CO2 concentration distribution without assimilating the OCO-2 retrievals, the overall root mean square error (RMSE) and mean bias error (MBE) between the results with the assimilation and the observations were averagely reduced by 20.65% and 78.49%, the overall difference in the RMSE and MBE with respect to CT2017 were averagely reduced by 48.29% and 28.61%, respectively. Experiments showed that the assimilation of OCO-2 retrievals by the extended-DART could make the estimated CO2 concentration distribution significantly more consistent with the observations and the CarbonTracker products. © 2020 Elsevier Ltd
英文关键词	Atmospheric chemistry; Mean square error; Microchannels; Orbits; Weather forecasting; CO2 concentration; Data assimilation; Dormant seasons; Independent grounds; Mean bias errors; Research Testbed; Root mean square errors; Weather research and forecasting models; Carbon dioxide; carbon dioxide; carbon dioxide; carbon flux; experimental study; instrumentation; OCO; Article; atmospheric transport; carbon dioxide fixation; concentration (parameter); controlled study; data assimilation research testbed; information retrieval; measurement; priority journal; simulation; United States; weather research and forecasting model coupled with chemistry; Midwest; United States
语种	英语
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169091
作者单位	Shanghai Carbon Data Research Center, Key Laboratory of Low-Carbon Conversion Science & Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Research Center of Wireless Technologies for New Media, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China; NASA Ames Research Center, Moffett FieldCA 94035, United States; NASA Postdoctoral Program administered by Universities Space Research Association, Columbia, MD 21046, United States
推荐引用方式 GB/T 7714	Zhang Q.,Li M.,Wei C.,et al. Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States[J],2021,246.
APA	Zhang Q.,Li M.,Wei C.,Mizzi A.P.,Huang Y.,&Gu Q..(2021).Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States.Atmospheric Environment,246.
MLA	Zhang Q.,et al."Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States".Atmospheric Environment 246(2021).