The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea
Satellite data play an irreplaceable role in global observation data systems. Effective comprehensive application of satellite products will inevitably improve numerical weather prediction. FengYun-4 (FY-4) series satellites can provide not only radiance data but also retrieval data with high tempor...
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MDPI AG
2024-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/21/4105 |
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| author | Chun Yang Bingying Shi Jinzhong Min |
| author_facet | Chun Yang Bingying Shi Jinzhong Min |
| author_sort | Chun Yang |
| collection | DOAJ |
| description | Satellite data play an irreplaceable role in global observation data systems. Effective comprehensive application of satellite products will inevitably improve numerical weather prediction. FengYun-4 (FY-4) series satellites can provide not only radiance data but also retrieval data with high temporal and spatial resolutions. To evaluate the potential benefits of the combination application of FY-4 Advanced Geostationary Radiance Imager (AGRI) products on Typhoon Saola analysis and forecast, two group of experiments are set up with the Weather Research and Forecasting model (WRF). Compared with the benchmark experiment, whose sea surface temperature (SST) is from the National Centers for Environmental Prediction (NCEP) reanalysis data, the SST replacement experiments with FY-4 A/B SST products significantly improve the track and precipitation forecast, especially with the FY-4B SST product. Based on the above results, AGRI clear-sky and all-sky assimilations with FY-4B SST are implemented with a self-constructed AGRI assimilation module. The results show that the AGRI all-sky assimilation experiment can obtain better analyses and forecasts. Furthermore, it is proven that the combination application of AGRI radiance and SST products is beneficial for typhoon prediction. |
| format | Article |
| id | doaj-art-41a81be4080c48ed80b084434cc4b14a |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj-art-41a81be4080c48ed80b084434cc4b14a2024-11-08T14:40:50ZengMDPI AGRemote Sensing2072-42922024-11-011621410510.3390/rs16214105The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the SeaChun Yang0Bingying Shi1Jinzhong Min2Key Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSatellite data play an irreplaceable role in global observation data systems. Effective comprehensive application of satellite products will inevitably improve numerical weather prediction. FengYun-4 (FY-4) series satellites can provide not only radiance data but also retrieval data with high temporal and spatial resolutions. To evaluate the potential benefits of the combination application of FY-4 Advanced Geostationary Radiance Imager (AGRI) products on Typhoon Saola analysis and forecast, two group of experiments are set up with the Weather Research and Forecasting model (WRF). Compared with the benchmark experiment, whose sea surface temperature (SST) is from the National Centers for Environmental Prediction (NCEP) reanalysis data, the SST replacement experiments with FY-4 A/B SST products significantly improve the track and precipitation forecast, especially with the FY-4B SST product. Based on the above results, AGRI clear-sky and all-sky assimilations with FY-4B SST are implemented with a self-constructed AGRI assimilation module. The results show that the AGRI all-sky assimilation experiment can obtain better analyses and forecasts. Furthermore, it is proven that the combination application of AGRI radiance and SST products is beneficial for typhoon prediction.https://www.mdpi.com/2072-4292/16/21/4105Fengyun satelliteall-sky assimilationsea surface temperaturecombination application |
| spellingShingle | Chun Yang Bingying Shi Jinzhong Min The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea Remote Sensing Fengyun satellite all-sky assimilation sea surface temperature combination application |
| title | The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea |
| title_full | The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea |
| title_fullStr | The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea |
| title_full_unstemmed | The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea |
| title_short | The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea |
| title_sort | combination application of fy 4 satellite products on typhoon saola forecast on the sea |
| topic | Fengyun satellite all-sky assimilation sea surface temperature combination application |
| url | https://www.mdpi.com/2072-4292/16/21/4105 |
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