The First Global Map of Atmospheric Ammonia(NH_(3)) as Observed by the HIRAS/FY-3D Satellite

作     者：Minqiang ZHOU Zhili DENG Charles ROBERT Xingying ZHANG Lu ZHANG Yapeng WANG Chengli QI Pucai WANG Martine De MAZIÈRE Minqiang ZHOU;Zhili DENG;Charles ROBERT;Xingying ZHANG;Lu ZHANG;Yapeng WANG;Chengli QI;Pucai WANG;Martine De MAZIÈRE

作者机构：Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Royal Belgian Institute for Space Aeronomy(BIRA-IASB)Brussels 1180Belgium National Satellite Meteorology CenterChina Meteorological AdministrationBeijing 100081China Department of Science&Technology and Climate ChangeChina Meteorological AdministrationBeijing 100081China University of Chinese Academy of SciencesBeijing 100049China 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2024年第41卷第3期

页      面：379-390页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：supported by the Feng Yun Application Pioneering Project (FY-APP-2022.0502) the National Natural Science Foundation of China (Grant No. 42205140) 

主　　题：ammonia HIRAS/FY-3D satellite thermal-infrared observation remote sensing optimal estimation method 

摘      要：Atmospheric ammonia(NH_(3)) is a chemically active trace gas that plays an important role in the atmospheric environment and climate change. Satellite remote sensing is a powerful technique to monitor NH_(3) concentration based on the absorption lines of NH_(3) in the thermal infrared region. In this study, we establish a retrieval algorithm to derive the NH_(3)column from the Hyperspectral Infrared Atmospheric Sounder(HIRAS) onboard the Chinese Feng Yun(FY)-3D satellite and present the first atmospheric NH_(3) column global map observed by the HIRAS instrument. The HIRAS observations can well capture NH_(3) hotspots around the world, e.g., India, West Africa, and East China, where large NH_(3) emissions exist. The HIRAS NH_(3) columns are also compared to the space-based Infrared Atmospheric Sounding Interferometer(IASI)measurements, and we find that the two instruments observe a consistent NH_(3) global distribution, with correlation coefficient(R) values of 0.28–0.73. Finally, some remaining issues about the HIRAS NH_(3) retrieval are discussed.