气候变化领域集成服务门户(CCPortal): Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System

CCPortal

DOI	10.5194/acp-21-1963-2021
	Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System
	Jiang F.; Wang H.; Chen J.M.; Ju W.; Tian X.; Feng S.; Li G.; Chen Z.; Zhang S.; Lu X.; Liu J.; Wang H.; Wang J.; He W.; Wu M.
发表日期	2021
ISSN	1680-7316
起始页码	1963
结束页码	1985
卷号	21 期号:3
英文摘要	Satellite retrievals of the column-Averaged dry air mole fractions of CO2 (XCO2) could help to improve carbon flux estimation due to their good spatial coverage. In this study, in order to assimilate the GOSAT (Greenhouse Gases Observing Satellite) XCO2 retrievals, the Global Carbon Assimilation System (GCAS) is upgraded with new assimilation algorithms, procedures, a localization scheme, and a higher assimilation parameter resolution. This upgraded system is referred to as GCASv2. Based on this new system, the global terrestrial ecosystem (BIO) and ocean (OCN) carbon fluxes from 1 May 2009 to 31 December 2015 are constrained using the GOSAT ACOS (Atmospheric CO2 Observations from Space) XCO2 retrievals (Version 7.3). The posterior carbon fluxes from 2010 to 2015 are independently evaluated using CO2 observations from 52 surface flask sites. The results show that the posterior carbon fluxes could significantly improve the modeling of atmospheric CO2 concentrations, with global mean bias decreases from a prior value of 1.6-1.8 ppm to-0.5-1.8 ppm. The uncertainty reduction (UR) of the global BIO flux is 17 %, and the highest monthly regional UR could reach 51 %. Globally, the mean annual BIO and OCN carbon sinks and their interannual variations inferred in this study are very close to the estimates of CarbonTracker 2017 (CT2017) during the study period, and the inferred mean atmospheric CO2 growth rate and its interannual changes are also very close to the observations. Regionally, over the northern lands, the strongest carbon sinks are seen in temperate North America, followed by Europe, boreal Asia, and temperate Asia; in the tropics, there are strong sinks in tropical South America and tropical Asia, but a very weak sink in Africa. This pattern is significantly different from the estimates of CT2017, but the estimated carbon sinks for each continent and some key regions like boreal Asia and the Amazon are comparable or within the range of previous bottom-up estimates. The inversion also changes the interannual variations in carbon fluxes in most TransCom land regions, which have a better relationship with the changes in severe drought area (SDA) or leaf area index (LAI), or are more consistent with previous estimates for the impact of drought. These results suggest that the GCASv2 system works well with the GOSAT XCO2 retrievals and shows good performance with respect to estimating the sur-face carbon fluxes; meanwhile, our results also indicate that the GOSAT XCO2 retrievals could help to better understand the interannual variations in regional carbon fluxes. © 2021 American Society of Mechanical Engineers (ASME). All rights reserved.
语种	英语
scopus关键词	algorithm; carbon dioxide; carbon flux; data assimilation; GOSAT; image resolution; satellite data; satellite imagery
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/247160
作者单位	Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, 210023, China; Department of Geography and Planning, University of Toronto, Toronto, ON M5S3G3, Canada; Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100101, China; School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, 519000, China; School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai, 519000, China; School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China; Jiangsu Ctr. for Collab. Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
推荐引用方式 GB/T 7714	Jiang F.,Wang H.,Chen J.M.,et al. Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System[J],2021,21(3).
APA	Jiang F..,Wang H..,Chen J.M..,Ju W..,Tian X..,...&Wu M..(2021).Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(3).
MLA	Jiang F.,et al."Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.3(2021).