Pre-Launch Multi-Energy Radiance Calibration of the OMS-N

Author:

Mao Jinghua123ORCID,Wang Yongmei1234,Shi Entao123,Hu Xiuqing5ORCID,Wang Qian5,Wang Jinduo6

Affiliation:

1. Laboratory of Space Environment Exploration, National Space Science Center, Beijing 100190, China

2. Beijing Key Laboratory of Space Environment Exploration, Beijing 100190, China

3. Key Laboratory of Environmental Space Situation Awareness Technology, Beijing 100190, China

4. School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China

5. National Satellite Meteorological Centre, Beijing 100081, China

6. National Key Laboratory of Scattering and Radiation, Beijing 100854, China

Abstract

This paper presents the prelaunch radiometric calibration of the Ozone Monitor Suite-Nadir (OMS-N) instrument, a vital payload on the FY-3F satellite. FY-3F achieved a successful launch on 3 August 2023. The radiance calibration of the OMS-N instrument was achieved using an integrating sphere, with known exit radiance ascertained through a transferring radiometer. The calibration model incorporates six energy levels. The Solar Simulator Standard System was employed to validate the calibration results, selecting specific rows to represent varying spatial dimensions. Considering the influence of xenon lamp characteristic peaks and transmission errors during the calibration process, the average deviation remained within 2.3% for the VIS channel, 3% for the UV1 channel, and 2.2% for the UV2 channel. Furthermore, the uncertainty of the radiometric calibration was analyzed. The results indicated an absolute uncertainty of 2.33% for both the UV1 and UV2 channels and 1.69% for the VIS channel. The relative uncertainty was 1.84% for both the UV1 and UV2 channels and 1.45% for the VIS channel. The obtained calibration coefficients are accurate and reliable and can be used for the inversion of product parameters, which is of great significance to the quantitative application of satellite data and the advancement of scientific research on quantitative remote sensing.

Funder

New Generation of Atmospheric Composition Detection

Youth Innovation Promotion Association, Chinese Academy of Sciences

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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