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 

机构地区：[1]Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China [2]Royal Belgian Institute for Space Aeronomy(BIRA-IASB),Brussels 1180,Belgium [3]National Satellite Meteorology Center,China Meteorological Administration,Beijing 100081,China [4]Department of Science&Technology and Climate Change,China Meteorological Administration,Beijing 100081,China [5]University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Advances in Atmospheric Sciences》2024年第3期379-390,共12页大气科学进展（英文版）

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

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.

关 键 词：AMMONIA HIRAS/FY-3D satellite thermal-infrared observation remote sensing optimal estimation method 

分 类 号：P412.27[天文地球—大气科学及气象学]