大气环境卫星温室气体和气溶胶协同观测综述  被引量:13

A review of collaborative remote sensing observation of greenhouse gases and aerosol with atmospheric environment satellites

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作  者:李正强 谢一凇 石玉胜 厉青 Cohen Jason 张羽中 韩颖慧 熊伟[7] 刘毅[8] LI Zhengqiang;XIE Yisong;SHI Yusheng;LI Qing;COHEN Jason;ZHANG Yuzhong;HAN Yinghui;XIONG Wei;LIU Yi(State Environmental Protection Key Laboratory of Satellite Remote Sensing,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment,Beijing 100094,China;School of Atmosphere Sciences,Sun Yat-Sen University,Zhuhai 519082,China;School of Environment and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China;Key Laboratory of Coastal Environment and Resources of Zhejiang Province,School of Engineering,Westlake University,Hangzhou 310024,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China;Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,China;Carbon Neutrality Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China)

机构地区:[1]中国科学院空天信息创新研究院国家环境保护卫星遥感重点实验室,北京100101 [2]生态环境部卫星环境应用中心,北京100094 [3]中山大学大气科学学院,珠海519082 [4]中国矿业大学环境与测绘学院,徐州221116 [5]西湖大学工学院浙江省海岸带环境与资源研究重点实验室,杭州310024 [6]中国科学院大学资源与环境学院,北京100049 [7]中国科学院合肥物质科学研究院中国科学院通用光学定标与表征技术重点实验室,合肥230031 [8]中国科学院大气物理研究所碳中和研究中心,北京100029

出  处:《遥感学报》2022年第5期795-816,共22页NATIONAL REMOTE SENSING BULLETIN

基  金:国家杰出青年科学基金(编号:41925019);国家自然科学基金(编号:42175147);海南省重点研发计划(编号:ZDYF2020206)。

摘  要:人类排放的温室气体和气溶胶是造成全球气候变暖和大气环境恶化的主要因素,也是大气环境卫星遥感的核心探测目标。与传统的单一探测目标卫星相比,实现同平台的大气温室气体和气溶胶协同监测,对于提高温室气体卫星反演精度、改善“自上而下”碳源汇估算、提升温室气体和气溶胶的人为/自然源区分能力具有重要意义,也是各国航天机构积极发展的空间探测手段。本文对欧、日、中、美等具备温室气体和气溶胶协同监测能力的卫星进行系统的介绍,包括卫星平台、传感器、处理算法和质控验证。按照卫星监测任务和传感器用途,将其分为大气综合探测卫星和温室气体监测卫星两大类,并从碳中和行动和大气环境综合治理等需求出发,提出温室气体和气溶胶协同观测星座(GACOC)的概念及其发展方向,包括主被动卫星组网观测、温室气体和气溶胶高精度联合反演算法、人为排放源识别和定量监测等应用。Climate change is the most critical issue related to human survival and economic development currently being faced by the whole world.Greenhouse gases(GHGs)and aerosol are the main factors contributing to global warming and atmospheric environmental degradation caused by anthropogenic emissions;thus,they are the core detection targets of satellite remote sensing platforms.Compared with traditional single-target satellites,the collaborative monitoring of GHGs and aerosol on the same airborne platform,“Greenhouse gases and Aerosol Collaborative Observation Constellation”(GACOC),could significantly improve the accuracy of CO_(2)and CH_(4)retrieval.This way could improve the ability to estimate the carbon source and sink via the“top-down”method,as well as the ability to distinguish anthropogenic/natural sources of CO_(2),CH_(4),and atmospheric particulate matters.The GACOC has become an important spatial detection approach actively developed by aerospace agencies of various countries.This study introduces the satellites launched by the European Union,Japan,China,and the United States that can monitor GHGs and aerosol in one space-borne platform.These satellites are further divided into two categories according to their missions.The first one is the comprehensive atmospheric sounding satellites that independently detect GHGs and aerosol.These satellites can provide the temporal and spatial distribution of columnar CO_(2)or CH_(4)concentration and aerosol properties in the global context.The representative satellites of this category include ENVISAT,Sentinel-5 P,FY-3D,and GF-5,as well as GF-5(02),DQ-1,DQ-2,and MetOp-SG-A that are about to launch in1-3 years.The second category is the GHG monitoring satellites.Synchronous aerosol and cloud observations on the same platform provide necessary information for high-precision inversion of GHGs.The typical GHG satellites include GOSAT,GOSAT-2,OCO-2,OCO-3,TanSat,and the ESA-planned CO_(2)M series.Focusing on the significant national demands such as assessment of carbon

关 键 词:温室气体 气溶胶 卫星遥感 二氧化碳 协同观测星座 

分 类 号:X831[环境科学与工程—环境工程]

 

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