Cross-Comparison of Radiation Response Characteristics between the FY-4B/AGRI and GK-2A/AMI in China

In this study, we compare the data of the advanced geostationary radiation imager (AGRI) on board the FY-4B and the advanced meteorological imager (AMI) on board the GK-2A, in terms of overall data, different reflectivity/brightness temperature intervals, different regions, and different underlying...

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Main Authors: Lianni Xie, Shuang Wu, Ronghua Wu, Jie Chen, Zuomin Xu, Lei Cao
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/3/779
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author Lianni Xie
Shuang Wu
Ronghua Wu
Jie Chen
Zuomin Xu
Lei Cao
author_facet Lianni Xie
Shuang Wu
Ronghua Wu
Jie Chen
Zuomin Xu
Lei Cao
author_sort Lianni Xie
collection DOAJ
description In this study, we compare the data of the advanced geostationary radiation imager (AGRI) on board the FY-4B and the advanced meteorological imager (AMI) on board the GK-2A, in terms of overall data, different reflectivity/brightness temperature intervals, different regions, and different underlying surfaces. The results show that the AGRI and AMI data are generally consistent; the mean biases for reflectivity channels show a range of 0.50% to 1.69%, with channel VIR004 being exceptionally good, while brightness temperature (TB) differences in the IR channels ranging from 0.11 to 0.57 K, with channel IR120 being the most accurate. The reflectivity of the AGRI is higher than that of the AMI in terms of mean bias. The dispersion of the reflectivity difference between the AGRI and AMI is smaller at the short-wavelength channels than that at the longer-wavelength channels. The TB data observed by the AGRI are higher than those of AMI at conditions above 310 K. In the case of observing the same target, the difference in infrared brightness temperature due to the random noise signal is small. The differences between the two sensors can be considerably reduced by revising mean biases. In the following studies of quantitative product algorithms, the characteristics of sensor data need to be further analyzed in detail.
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spelling doaj.art-49d45dfb92584042be1343165801e5022023-11-16T17:54:08ZengMDPI AGRemote Sensing2072-42922023-01-0115377910.3390/rs15030779Cross-Comparison of Radiation Response Characteristics between the FY-4B/AGRI and GK-2A/AMI in ChinaLianni Xie0Shuang Wu1Ronghua Wu2Jie Chen3Zuomin Xu4Lei Cao5Heilongjiang Eco-Meteorology Center, Heilongjiang Meteorological Bureau, Harbin 150030, ChinaHeilongjiang Eco-Meteorology Center, Heilongjiang Meteorological Bureau, Harbin 150030, ChinaKey Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, ChinaKey Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, ChinaHeilongjiang Eco-Meteorology Center, Heilongjiang Meteorological Bureau, Harbin 150030, ChinaHarbin Meteorological Observatory, Heilongjiang Meteorological Bureau, Harbin 150030, ChinaIn this study, we compare the data of the advanced geostationary radiation imager (AGRI) on board the FY-4B and the advanced meteorological imager (AMI) on board the GK-2A, in terms of overall data, different reflectivity/brightness temperature intervals, different regions, and different underlying surfaces. The results show that the AGRI and AMI data are generally consistent; the mean biases for reflectivity channels show a range of 0.50% to 1.69%, with channel VIR004 being exceptionally good, while brightness temperature (TB) differences in the IR channels ranging from 0.11 to 0.57 K, with channel IR120 being the most accurate. The reflectivity of the AGRI is higher than that of the AMI in terms of mean bias. The dispersion of the reflectivity difference between the AGRI and AMI is smaller at the short-wavelength channels than that at the longer-wavelength channels. The TB data observed by the AGRI are higher than those of AMI at conditions above 310 K. In the case of observing the same target, the difference in infrared brightness temperature due to the random noise signal is small. The differences between the two sensors can be considerably reduced by revising mean biases. In the following studies of quantitative product algorithms, the characteristics of sensor data need to be further analyzed in detail.https://www.mdpi.com/2072-4292/15/3/779FY-4B/AGRIGK-2A/AMIgeostationary meteorological satellitecross-comparison
spellingShingle Lianni Xie
Shuang Wu
Ronghua Wu
Jie Chen
Zuomin Xu
Lei Cao
Cross-Comparison of Radiation Response Characteristics between the FY-4B/AGRI and GK-2A/AMI in China
Remote Sensing
FY-4B/AGRI
GK-2A/AMI
geostationary meteorological satellite
cross-comparison
title Cross-Comparison of Radiation Response Characteristics between the FY-4B/AGRI and GK-2A/AMI in China
title_full Cross-Comparison of Radiation Response Characteristics between the FY-4B/AGRI and GK-2A/AMI in China
title_fullStr Cross-Comparison of Radiation Response Characteristics between the FY-4B/AGRI and GK-2A/AMI in China
title_full_unstemmed Cross-Comparison of Radiation Response Characteristics between the FY-4B/AGRI and GK-2A/AMI in China
title_short Cross-Comparison of Radiation Response Characteristics between the FY-4B/AGRI and GK-2A/AMI in China
title_sort cross comparison of radiation response characteristics between the fy 4b agri and gk 2a ami in china
topic FY-4B/AGRI
GK-2A/AMI
geostationary meteorological satellite
cross-comparison
url https://www.mdpi.com/2072-4292/15/3/779
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