Zijing Forum of Global Change Science, the 395th Session

Topic: Remote sensing monitoring of atmospheric composition of FY-4 Satellite in geosynchronous orbit

Speaker: Zeng Zhaocheng

Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University

Time: 13:30-15:05, November 21, 2022 (Monday)

Venue: S818, Mong Man Wai Technology Building, Tsinghua University

Introduction to the Lecture: Remote sensing monitoring of atmospheric composition based on geosynchronous orbit is currently a new field of atmospheric remote sensing. The Geostationary Interferometric Infrared Sounder (GIIRS) carried by our country's new generation meteorological satellite FY-4 is the world’s first hyperspectral infrared detector in geosynchronous orbit. With high thermal infrared hyperspectral detection accuracy, the GIIRS can be used to accurately invert atmospheric gas composition. The report will take the independently developed FY-GeoAIR inversion algorithm and the hourly inversion data of carbon monoxide (CO) and ammonia (NH3) concentrations in Asia as examples, and introduce the key points and difficulties of atmospheric composition inversion based on geostationary satellite infrared remote sensing, as well as the great potential of China’s FY series meteorological satellites in atmospheric composition monitoring.

Profile of the Speaker: Introduction: Zeng Zhaocheng is Assistant Professor and Researcher of the School of Earth and Space Sciences, Peking University. In 2016, he received his Ph.D. in Earth System Science from the Chinese University of Hong Kong. He worked as a postdoctoral researcher at the California Institute of Technology from 2017 to 2019, and then worked as an assistant researcher and associate researcher at the University of California, Los Angeles and California Institute of Technology respectively. In 2021, he received support from the National High-level Young Talents Fund. He is mainly engaged in theoretical and applied research of atmospheric radiation transmission and atmospheric environment remote sensing inversion. He has participated in NASA-JPL's mega-city carbon emission monitoring project, served as the algorithm leader of the JPL-CLARS greenhouse gas observation system, developed GFIT3, an all-physical high-precision inversion algorithm for greenhouse gas remote sensing, and scored innovative achievements in measuring gas inversion and city-scale carbon emission remote sensing estimation. The atmospheric composition remote sensing research group currently under his leadership focuses on comprehensively utilizing the infrared hyperspectral data of polar orbit/geostationary orbit to improve the remote sensing dynamic monitoring capability of the earth's atmospheric environment, including independently developing FY-GeoAIR inversion algorithm for China's new generation of geostationary orbit meteorological satellites to expand the application of domestic satellites in atmospheric environment monitoring. For more details, please visit https://faculty.pku.edu.cn/zeng.

Photo of the Speaker