Variations in Column Concentration of Greenhouse Gases in China and Their Response to the 2015-2016 El Niño Event  

作　　者：Ningwei LIU Lingjun XIA Youjun DOU Shaorou DONG Jing WEN Ying WANG Rui FENG Ruonan WANG Yuhe LI 

机构地区：[1]Institute of Atmospheric Environment,China Meteorological Administration,Shenyang,110166,China [2]Jiangxi Ecological Meteorology Centre,Nanchang,330096,China [3]Beijing Xiangyuan Academy of Meteorological Observing Technology,Beijing,100081,China [4]Climate Centre of Guangdong Province,Guangzhou,510641,China [5]Guangdong Meteorological Service,Guangzhou,510062,China [6]Liaoning Provincial Meteorological Equipment Support Centre,Shenyang,110166,China [7]Meteorological Centre of Northeast Air Traffic Administration of Civil Aviation of China,Shenyang,110161,China

出　　处：《Journal of Meteorological Research》2024年第3期608-619,共12页气象学报（英文版）

基　　金：Supported by the Natural Science Foundation of Liaoning Province(2022-MS-098);Joint Open Fund of the Institute of Atmospheric Environment,China Meteorological Administration,Shenyang and Key Laboratory of Agro-Meteorological Disasters of Liaoning Province(2024SYIAEKFZD05 and 2023SYIAEKFZD06);Open Research Project of Shangdianzi Atmospheric Background Station(SDZ20220912);Joint Research Project for Meteorological Capacity Improvement(23NLTSZ006);Applied Basic Research Program of Liaoning Province(2022JH2/101300193);National Natural Science Foundation of China(42105159 and 42005040).

摘　　要：Since the industrial revolution,enhancement of atmospheric greenhouse gas concentrations as a result of human activities has been the primary cause of global warming.The monitoring and evaluation of greenhouse gases are significant prerequisites for carbon emission control.Using monthly data of global atmospheric carbon dioxide(CO_(2))and methane(CH4)column concentrations(hereinafter XCO_(2) and XCH_(4),respectively)retrieved by the Greenhouse Gas Observation Satellite(GOSAT),we analyzed the variations in XCO_(2)and XCH_(4)in China during 2010-2022 after confirming the reliability of the data.Then,the influence of a strong El Niño event in 2015-2016 on XCO_(2) and XCH_(4) variations in China was further studied.The results show that the retrieved XCO_(2) and XCH_(4) from GOSAT have similar temporal variation trends and significant correlations with the ground observation and emission inventory data of an atmospheric background station,which could be used to assess the variations in XCO_(2) and XCH_(4) in China.XCO_(2) is high in spring and winter while XCH_(4) is high in autumn.Both XCO_(2) and XCH_(4) gradually declined from Southeast China to Northwest and Northeast China,with variation ranges of 401-406 and 1.81-1.88 ppmv,respectively;and the high value areas are located in the middle-lower Yangtze River basin.XCO_(2) and XCH_(4) in China increased as a whole during 2010-2022,with rapid enhancement and high levels of XCO_(2) and XCH_(4) in several areas.The significant increases in XCO_(2) and XCH_(4) over China in 2016 might be closely related to the strong El Niño-Southern Oscillation(ENSO)event during 2015-2016.Under a global warming background in 2015,XCO_(2) and XCH_(4) increased by 0.768%and 0.657%in 2016 in China.Data analysis reveals that both the XCO_(2) and XCH_(4) variations might reflect the significant impact of the ENSO event on glacier melting in the Tibetan Plateau.

关 键 词：greenhouse gases column concentration CO_(2) CH4 El Niño-Southern Oscillation(ENSO) El Niño 

分 类 号：P732[天文地球—海洋科学] P467