Research on vertical spatial characteristic of satellite infrared hyperspectral atmospheric sounding data

Abstract

Spatial characteristic is an important indicator of remote sensor performance, and space-borne infrared hyperspectral sounder is the frontier of atmospheric vertical sounding technology. In this paper, the formation mechanism of the vertical spatial characteristics involved in the space-borne infrared hyperspectral sounding data are analyzed in detail, which shows that the vertical spatial characteristics of sounding data depends not only on the spectral channels and their waveband coverage, but also the specific atmospheric parameter and its specific variation interested. The indicators of vertical spatial characteristics are defined and their mathematical models are established based on the mechanism analyses. These models are applied to the vertical spatial characteristic evaluation of atmospheric temperature sounding for FY-4A GIIRS, which is the first space-borne infrared hyperspectral atmospheric sounder in geostationary orbit. It is concluded that FY-4A GIIRS can sound the vertical temperature distribution in whole troposphere and lower stratosphere with height<35 km. This study can provide basic information to support the improvement of infrared hyperspectral sounder and the trace of vertical spatial characteristics of atmospheric inversion products.

Keywords

infrared hyperspectral / atmospheric sounding / vertical spatial characteristic / atmospheric temperature / FY-4A GIIRS

Ci SONG is a post-doctor of School of Communication and Information Engineering, Shanghai University and lecturer of College of Science, Zhongyuan University of Technology. She received her B.S. degree in mathematics and applied mathematics from Henan Normal University in 2008, M.S. degree in mathematics and applied mathematics from East China Normal University and Ph.D degree in physical geography from East China Normal University. Her research interests include remote sensing information processing and application, remote sensing mechanism and radiation transmission.

Qiu YIN is a Research Professor of Shanghai Meteorological Service, China Meteorological Administration (CMA). He received his B.S. and M.S. degrees in atmospheric physics from Nanjing University and Ph.D degree in physical electronics from Shanghai Institute of Technical Physics, Chinese Academy of Sciences (CAS). His research interests include atmospheric radiation transfer model, remote sensing information processing and environmental remote sensing application. He has published 2 national standards and more than 100 academic papers.

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