Evaluation of Finding Point Method for Fengyun-4A Satellite Infrared Longwave Remote Sensing

Recently, an automatic atmospheric radiation absorption parameterization scheme based on correlated k-distribution (CKD) has been proposed, namely, the finding point method (FPM). The FPM can avoid errors caused by manual operation and has higher accuracy when compared with other common CKD methods....

Full description

Saved in:
Bibliographic Details
Published inProgress in Electromagnetics Research Symposium pp. 2160 - 2163
Main Authors Zhu, Mingwei, Jin, Shuanggen, Duan, Wentao
Format Conference Proceeding
LanguageEnglish
Published IEEE 21.11.2021
Subjects
Absorption
Atmospheric modeling
Brightness temperature
Data models
Root mean square
Satellite broadcasting
Online AccessGet full text
ISSN1559-9450
DOI10.1109/PIERS53385.2021.9694812

Cover

More Information
Summary:Recently, an automatic atmospheric radiation absorption parameterization scheme based on correlated k-distribution (CKD) has been proposed, namely, the finding point method (FPM). The FPM can avoid errors caused by manual operation and has higher accuracy when compared with other common CKD methods. In this paper, FPM is applied to the satellite brightness temperature simulation. In the simulation of the Fengyun 4A Advanced Geostationary Radiation Imager (AGRI), the root mean square errors (RMSE) of FPM in the brightness temperature simulation of the six infrared channels when compared with the standard result from the line-by-line integration are 0.1103, 0.2128, and 0.0459, 0.0266, 0.0328, and 0.1742 K, respectively, while the RMSE of Radiative Transfer for the Television Observation Satellite Operational Vertical Sounder (RTTOV) are 1.0879, 0.1120, 0.2204, 0.1567, 0.1164, and 0.3256 K, respectively. Therefore, FPM can achieve very good accuracy in satellite infrared remote sensing.
ISSN:1559-9450
DOI:10.1109/PIERS53385.2021.9694812