Study on FY-4A/GIIRS infrared spectrum detection capability based on information content
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Affiliation:

1.Shanghai Ecological Forecasting and Remote Sensing Center, Shanghai 200030, China;2.Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China;3.School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China

Clc Number:

P407

Fund Project:

the Opening Project of Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,National Satellite Meteorological Center, Xinmiao Talent Development Plan of Shanghai Meteorological Service 2018-2020;the Natural Science Foundation of Shanghai 18ZR1434100Supported by the Opening Project of Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,National Satellite Meteorological Center, Xinmiao Talent Development Plan of Shanghai Meteorological Service (2018-2020),and the Natural Science Foundation of Shanghai (18ZR1434100)

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    Abstract:

    The spectral sensitivities of FY-4A/GIIRS (Geosynchronous Interferometric Infrared Sounder) in various atmospheric conditions are analyzed using Line-By-Line Radiative Transfer Model (LBLRTM). On that basis, the information contents of temperature, humidity and ozone in FY-4A/GIIRS are measured by Entropy Reduction (ER) and the Degrees of Freedom for Signal (DFS), which could evaluate the retrieve capabilities for atmosphere parameters of FY-4A/GIIRS. The results are shown as follows: (1) The sensitivity of temperature and humidity in long wave band of GIIRS are both varied with atmosphere condition, while there is little difference in the sensitivity of ozone under different atmospheric conditions. (2) The application potential for FY-4A/GIIRS with temperature, humidity and ozone profiles inversion is preliminary revealed. Therefore, temperature information content of FY-4A/GIIRS is the largest, followed by humidity under the US Standard atmosphere. (3) The information content of temperature and water vapor in tropical atmosphere is bigger than middle latitude atmosphere.

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LUO Shuang, DI Di, CUI Lin-Li. Study on FY-4A/GIIRS infrared spectrum detection capability based on information content[J]. Journal of Infrared and Millimeter Waves,2019,38(6):765~776

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History
  • Received:May 06,2019
  • Revised:November 13,2019
  • Adopted:July 05,2019
  • Online: December 17,2019
  • Published: