Intercalibration of FY-4A AGRI Thermal Infrared Channels against AHI Channels Using the Double Difference Method

This letter addresses the intercalibration of the thermal infrared channels 11 (8.0~9.0 μm), 12 (10.3~11.3 μm), 13 (11.5~12.5 μm) and 14 (13.2~13.8 μm) of the Advanced Geostationary Radiation Imager (AGRI) on Chinese Fengyun 4A (FY-4A) satellite against the Advanced Himawari Imager (AHI) on the Hima...

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Published inIEEE geoscience and remote sensing letters Vol. 20; p. 1
Main Authors Jiang, Geng-Ming, Xin, Yi-Chun
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract This letter addresses the intercalibration of the thermal infrared channels 11 (8.0~9.0 μm), 12 (10.3~11.3 μm), 13 (11.5~12.5 μm) and 14 (13.2~13.8 μm) of the Advanced Geostationary Radiation Imager (AGRI) on Chinese Fengyun 4A (FY-4A) satellite against the Advanced Himawari Imager (AHI) on the Himawari 8 using the Double Difference (DD) method with the data in January and July of 2020. To transfer the radiometric calibration from AHI to FY-4A AGRI, an accurate thermal infrared radiative transfer model and intercalibration equations are constructed. The results show that the AGRI channel 12 is well calibrated, and keeps stable in the two months. However, in other AGRI thermal infrared channels, radiometric calibration biases are obviously observed, especially the AGRI channel 11, in which the calibration biases vary by hemisphere and month. The observations in the AGRI channels 13 and 14 are about 0.83 K and 0.50 K underestimated, respectively. In the AGRI channel 11, the observations are averagely 2.36 K and 4.08 K overestimated in North hemisphere and South hemisphere, respectively. Moreover, in South hemisphere, the observations in the AGRI channel 11 in the July are averagely 0.55 K warmer than those in the January. The intercalibration coefficients were obtained by linear regression, and finally the radiometric calibration biases in the AGRI thermal infrared channels were successfully removed.
AbstractList This letter addresses the intercalibration of the thermal infrared (TIR) channels 11 (8.0–9.0 [Formula Omitted]), 12 (10.3–11.3 [Formula Omitted]), 13 (11.5–[Formula Omitted]), and 14 (13.2–13.8 [Formula Omitted]) of the Advanced Geostationary Radiation Imager (AGRI) on Chinese Fengyun 4A (FY-4A) satellite against the Advanced Himawari Imager (AHI) on the Himawari 8 using the double difference (DD) method with the data in January and July of 2020. To transfer the radiometric calibration from AHI to FY-4A AGRI, an accurate TIR radiative transfer model and intercalibration equations are constructed. The results show that AGRI channel 12 is well calibrated and keeps stable in the two months. However, in other AGRI TIR channels, radiometric calibration biases are obviously observed, especially AGRI channel 11, in which the calibration biases vary by hemisphere and month. The observations in AGRI channels 13 and 14 are about 0.83 and 0.50 K underestimated, respectively. In AGRI channel 11, the observations are averagely 2.36 and 4.08 K overestimated in Northern Hemisphere and Southern Hemisphere, respectively. Moreover, in Southern Hemisphere, the observations in AGRI channel 11 in July are averagely 0.55 K warmer than those in January. The intercalibration coefficients were obtained by linear regression, and finally, the radiometric calibration biases in the AGRI TIR channels were successfully removed.
This letter addresses the intercalibration of the thermal infrared channels 11 (8.0~9.0 μm), 12 (10.3~11.3 μm), 13 (11.5~12.5 μm) and 14 (13.2~13.8 μm) of the Advanced Geostationary Radiation Imager (AGRI) on Chinese Fengyun 4A (FY-4A) satellite against the Advanced Himawari Imager (AHI) on the Himawari 8 using the Double Difference (DD) method with the data in January and July of 2020. To transfer the radiometric calibration from AHI to FY-4A AGRI, an accurate thermal infrared radiative transfer model and intercalibration equations are constructed. The results show that the AGRI channel 12 is well calibrated, and keeps stable in the two months. However, in other AGRI thermal infrared channels, radiometric calibration biases are obviously observed, especially the AGRI channel 11, in which the calibration biases vary by hemisphere and month. The observations in the AGRI channels 13 and 14 are about 0.83 K and 0.50 K underestimated, respectively. In the AGRI channel 11, the observations are averagely 2.36 K and 4.08 K overestimated in North hemisphere and South hemisphere, respectively. Moreover, in South hemisphere, the observations in the AGRI channel 11 in the July are averagely 0.55 K warmer than those in the January. The intercalibration coefficients were obtained by linear regression, and finally the radiometric calibration biases in the AGRI thermal infrared channels were successfully removed.
Author Xin, Yi-Chun
Jiang, Geng-Ming
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Snippet This letter addresses the intercalibration of the thermal infrared channels 11 (8.0~9.0 μm), 12 (10.3~11.3 μm), 13 (11.5~12.5 μm) and 14 (13.2~13.8 μm) of the...
This letter addresses the intercalibration of the thermal infrared (TIR) channels 11 (8.0–9.0 [Formula Omitted]), 12 (10.3–11.3 [Formula Omitted]), 13...
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SubjectTerms AHI
Calibration
Channels
Coefficients
double difference method
FY-4A AGRI
Intercalibration
Northern Hemisphere
Radiation
Radiative transfer
Satellite imagery
Southern Hemisphere
thermal infrared channels
Title Intercalibration of FY-4A AGRI Thermal Infrared Channels against AHI Channels Using the Double Difference Method
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Volume 20
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