甲烷柱浓度红外高光谱遥感反演与验证  

CH4 column retrievals from ground-and space-based infrared spectra and satellite validation

作　　者：周敏强[1] 倪启晨 王佳欣 蔡兆男[1,2] 南卫东 王普才[1,2] ZHOU Minqiang;NI Qichen;WANG Jiaxin;CAI Zhaonan;NAN Weidong;WANG Pucai(Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;University of Chinese Academy of Science,Beijing 100049,China;Xianghe Observatory of Whole Atmosphere,Institute of Atmospheric Physics,Chinese Academy of Sciences,Langfang 065400,China)

机构地区：[1]中国科学院大气物理研究所碳中和研究中心,北京100029 [2]中国科学院大学地球与行星科学学院,北京100049 [3]中国科学院大气物理研究所香河大气综合观测试验站,廊坊065400

出　　处：《遥感学报》2024年第8期1968-1985,共18页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家重点研发计划(编号:2023YFB3907505);国家自然科学基金(编号:42205140)。

摘　　要：甲烷(CH_(4))浓度变化是当前气候变化研究中的一个焦点问题。红外高光谱遥感技术已经成为探测大气CH_(4)浓度变化的重要技术手段。本文针对红外高光谱CH_(4)地基遥感反演技术,介绍了国际上重要的观测网络,包括TCCON(Total Carbon Column Observing Network),NDACC-IRWG(Network for the Detection of Atmospheric Composition Change-the Infrared Working Group)和COCCON(COllaborative Carbon Column Observing Network),讨论了这些观测网络的主要特点,包括观测仪器、波段设置、反演算法、产品特性等。针对红外高光谱CH_(4)浓度卫星遥感反演,概述了国际上的CH_(4)卫星遥感发展现状。同时,以日本GOSAT(Greenhouse gases Observing SATellite)卫星为例,探讨了卫星CH_(4)遥感地基验证工作中的关键技术,阐明了地基遥感对于卫星CH_(4)遥感产品改进的重要性。最后,利用TCCON香河站的观测资料,对最新版的TROPOMI(TROPOspheric Monitoring Instrument)卫星CH_(4)观测反演数据产品进行了地基验证,表明在华北地区TROPOMI CH_(4)柱浓度产品达到了其观测精度目标设定要求;TROPOMI观测得到的CH_(4)柱浓度年增长率要略高于TCCON的观测结果,两者相差0.263±0.172%/a;地基与卫星的差值具有季节变化特征,春季卫星的观测值大于TCCON观测值约0.3%,秋季卫星的观测值小于TCCON观测值约0.2%。Methane(CH_(4))is the second most important greenhouse gas in the Earth's atmosphere,after carbon dioxide(CO_(2)).Understanding the change in CH_(4)concentration is a challenging task in atmospheric research given that it has various sources.Remote sensing has now become an effective technique to monitor CH_(4)concentrations globally.In this study,we presented an overview of CH_(4)column retrievals based on ground-based Fourier Transform Infrared spectrometer(FTIR)and space-based infrared measurements.Satellite validations were also discussed.Currently,three ground-based remote sensing international observation networks provide CH_(4)columns:the Total Carbon Column Observing Network(TCCON),the NDACC-IRWG(Network for the Detection of Atmospheric Composition Change-the Infrared Working Group),and the COCCON(COllaborative Carbon Column Observing Network).The main characteristics of the three networks were presented and discussed in our study,such as the measurement instrument,the observed spectra,the retrieval algorithm,and the postcorrection.TCCON and COCCON provide dry-air column-averaged mole fraction of CH_(4)(XCH_(4))measurements,with a systematic/random uncertainty of 0.1/0.5%.NDACC provides a total column of CH_(4),with a slightly large systematic/random uncertainty of 0.2/1.0%.However,it also provides a vertical profile of CH_(4),which allows us to observe the CH_(4)variations in the troposphere and stratosphere separately.Regarding the satellite CH_(4)retrievals,we compared several popular sensors with a nadir-view geometry and their retrieval algorithms,such as the TANSO-FTS/GOSAT,TROPOMI/S5P,IASI/MetOp,and AIRS/Aqua.Basically,the short-wave infrared measurements(GOSAT and TROPOMI)have more sensitivity to the low troposphere,while the thermal infrared measurements(IASI and AIRS)are mainly sensitive to the mid-and upper troposphere.The difference in their vertical sensitivity comes from the CH_(4)-specific absorption lines in the infrared region.All satellite retrievals are affected by the cloud,aerosol,and

关 键 词：遥感 甲烷 柱浓度 地基傅里叶光谱 卫星验证 TROPOMI 

分 类 号：P407[天文地球—大气科学及气象学] P2