Use of Radiative Transfer Model for Inter-Satellite Microwave Radiometer Calibration
This paper describes the benefits of using a microwave radiative transfer model (RTM) to improve the inter-satellite radiometric calibration (XCAL) between two independent satellite microwave radiometers. Because this work was sponsored by the NASA Global Precipitation Mission, the emphasis of this...
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MDPI AG
2025-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/9/1519 |
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| author | Patrick N. De La Llana Faisal Bin Kashem W. Linwood Jones |
| author_facet | Patrick N. De La Llana Faisal Bin Kashem W. Linwood Jones |
| author_sort | Patrick N. De La Llana |
| collection | DOAJ |
| description | This paper describes the benefits of using a microwave radiative transfer model (RTM) to improve the inter-satellite radiometric calibration (XCAL) between two independent satellite microwave radiometers. Because this work was sponsored by the NASA Global Precipitation Mission, the emphasis of this paper is on radiometer channels that are used for atmospheric precipitation retrievals; however, this technique is applicable for microwave remote sensing in general, over a wide range of satellite remote-sensing applications. An XCAL example is presented for the NASA Global Precipitation Mission, whereby the GPM Microwave Imager is used to calibrate another microwave radiometer (TROPICS) within the GPM constellation of satellites. This approach involves intercomparing near-simultaneous measured brightness temperatures from these radiometers viewing a common homogeneous ocean scene. The double difference between observed and theoretical brightness temperature, derived using a radiative transfer model, is used to establish a radiometric calibration offset or bias. On-orbit comparisons are presented for two different approaches, namely, with and without the aid of the RTM. The results demonstrate significant improvements in the XCAL biases derived when using the RTM, and this is especially beneficial when one radiometer produces anomalous brightness temperatures. |
| format | Article |
| id | doaj-art-8adedf247c8c4f9c82c78d656d1dc707 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-8adedf247c8c4f9c82c78d656d1dc7072025-08-20T02:31:08ZengMDPI AGRemote Sensing2072-42922025-04-01179151910.3390/rs17091519Use of Radiative Transfer Model for Inter-Satellite Microwave Radiometer CalibrationPatrick N. De La Llana0Faisal Bin Kashem1W. Linwood Jones2Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USADepartment of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USADepartment of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USAThis paper describes the benefits of using a microwave radiative transfer model (RTM) to improve the inter-satellite radiometric calibration (XCAL) between two independent satellite microwave radiometers. Because this work was sponsored by the NASA Global Precipitation Mission, the emphasis of this paper is on radiometer channels that are used for atmospheric precipitation retrievals; however, this technique is applicable for microwave remote sensing in general, over a wide range of satellite remote-sensing applications. An XCAL example is presented for the NASA Global Precipitation Mission, whereby the GPM Microwave Imager is used to calibrate another microwave radiometer (TROPICS) within the GPM constellation of satellites. This approach involves intercomparing near-simultaneous measured brightness temperatures from these radiometers viewing a common homogeneous ocean scene. The double difference between observed and theoretical brightness temperature, derived using a radiative transfer model, is used to establish a radiometric calibration offset or bias. On-orbit comparisons are presented for two different approaches, namely, with and without the aid of the RTM. The results demonstrate significant improvements in the XCAL biases derived when using the RTM, and this is especially beneficial when one radiometer produces anomalous brightness temperatures.https://www.mdpi.com/2072-4292/17/9/1519radiative transfer modelinter-satellite radiometric calibrationglobal precipitation measurement missionmicrowave remote sensing |
| spellingShingle | Patrick N. De La Llana Faisal Bin Kashem W. Linwood Jones Use of Radiative Transfer Model for Inter-Satellite Microwave Radiometer Calibration Remote Sensing radiative transfer model inter-satellite radiometric calibration global precipitation measurement mission microwave remote sensing |
| title | Use of Radiative Transfer Model for Inter-Satellite Microwave Radiometer Calibration |
| title_full | Use of Radiative Transfer Model for Inter-Satellite Microwave Radiometer Calibration |
| title_fullStr | Use of Radiative Transfer Model for Inter-Satellite Microwave Radiometer Calibration |
| title_full_unstemmed | Use of Radiative Transfer Model for Inter-Satellite Microwave Radiometer Calibration |
| title_short | Use of Radiative Transfer Model for Inter-Satellite Microwave Radiometer Calibration |
| title_sort | use of radiative transfer model for inter satellite microwave radiometer calibration |
| topic | radiative transfer model inter-satellite radiometric calibration global precipitation measurement mission microwave remote sensing |
| url | https://www.mdpi.com/2072-4292/17/9/1519 |
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