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

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国家科技期刊平台
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外文摘要：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 sig-nificant prerequisites for carbon emission control.Using monthly data of global atmospheric carbon dioxide(CO2)and methane(CH4)column concentrations(hereinafter XCO2 and XCH4,respectively)retrieved by the Greenhouse Gas Observation Satellite(GOSAT),we analyzed the variations in XCO2 and XCH4 in China during 2010-2022 after confirming the reliability of the data.Then,the influence of a strong El Nino event in 2015-2016 on XCO2 and XCH4 variations in China was further studied.The results show that the retrieved XCO2 and XCH4 from GOSAT have similar temporal variation trends and significant correlations with the ground observation and emission invent-ory data of an atmospheric background station,which could be used to assess the variations in XCO2 and XCH4 in China.XCO2 is high in spring and winter while XCH4 is high in autumn.Both XCO2 and XCH4 gradually declined from Southeast China to Northwest and Northeast China,with variation ranges of 401-406 and 1.81-1.88 ppmv,re-spectively;and the high value areas are located in the middle-lower Yangtze River basin.XCO2 and XCH4 in China increased as a whole during 2010-2022,with rapid enhancement and high levels of XCO2 and XCH4 in several areas.The significant increases in XCO2 and XCH4 over China in 2016 might be closely related to the strong El Nino-Southern Oscillation(ENSO)event during 2015-2016.Under a global warming background in 2015,XCO2 and XCH4 increased by 0.768％and 0.657％in 2016 in China.Data analysis reveals that both the XCO2 and XCH4 variations might reflect the significant impact of the ENSO event on glacier melting in the Tibetan Plateau.

外文关键词：

greenhouse gasescolumn concentrationCO2CH4El Nino-Southern Oscillation(ENSO)El Nino

作者：

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

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作者单位：

Institute of Atmospheric Environment,China Meteorological Administration,Shenyang 110166

Jiangxi Ecological Meteorology Centre,Nanchang 330096

Beijing Xiangyuan Academy of Meteorological Observing Technology,Beijing 100081

Climate Centre of Guangdong Province,Guangzhou 510641

Guangdong Meteorological Service,Guangzhou 510062

Liaoning Provincial Meteorological Equipment Support Centre,Shenyang 110166

Meteorological Centre of Northeast Air Traffic Administration of Civil Aviation of China,Shenyang 110161

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基金：

Natural Science Foundation of Liaoning ProvinceJoint Open Fund of the Institute of Atmospheric Environment,China Meteorological Administration,Shenyang and Key Laboratory of AJoint Open Fund of the Institute of Atmospheric Environment,China Meteorological Administration,Shenyang and Key Laboratory of AOpen Research Project of Shangdianzi Atmospheric Background StationJoint Research Project for Meteorological Capacity ImprovementApplied Basic Research Program of Liaoning ProvinceNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaChina Meteorological Administration's Youth Innovation Team of Climate Ecological Product Value Implementation ResearchLiaoning Provincial Meteorological Bureau's Key Innovation Team of Climate Change Response

项目编号：

2022-MS-0982024SYIAEKFZD052023SYIAEKFZD06SDZ2022091223NLTSZ0062022JH2/1013001934210515942005040CMA2024QN15

出版年：

2024

DOI：

10.1007/s13351-024-3160-8

气象学报(英文版)

中国气象学会

气象学报(英文版)

CSTPCD

影响因子：0.57

ISSN：0894-0525

年,卷(期)：2024.38(3)