Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom
With the module of assimilating AMSU-A (Advanced Microwave Sounding Unit-A) and AIRS (Atmospheric Infrared Sounder) data in the WRFDA (Weather Research and Forecasting Model Data Assimilation) system, the impacts of joint assimilation of the radiance observations from two satellites on the simulatio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/11/9/957 |
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| author | Dongmei Xu Aiqing Shu Feifei Shen Jinzhong Min Hong Li Xiaoli Xia |
| author_facet | Dongmei Xu Aiqing Shu Feifei Shen Jinzhong Min Hong Li Xiaoli Xia |
| author_sort | Dongmei Xu |
| collection | DOAJ |
| description | With the module of assimilating AMSU-A (Advanced Microwave Sounding Unit-A) and AIRS (Atmospheric Infrared Sounder) data in the WRFDA (Weather Research and Forecasting Model Data Assimilation) system, the impacts of joint assimilation of the radiance observations from two satellites on the simulation of typhoon Chan-hom (2015) are addressed. For comparison, experiments with the assimilation of solely GTS (Global Telecommunications System) data, AMSU-A data, or AIRS data are also performed. The results show that, compared to other experiments, the analysis field after assimilating multiple radiance data is closer to the observation. The simulated steering flow in its forecast field is conductive to the northeast twist of the typhoon. In addition, the simulated rainband and the FSS (fraction skill score) calculated from the experiment with assimilating multiple radiance data are better. In the deterministic forecast, better performance is obtained from the simulation with multiple radiance data in the forecast of track, MSLP (minimum sea level pressure), and MSW (maximum surface wind). |
| first_indexed | 2024-03-10T16:29:56Z |
| format | Article |
| id | doaj.art-aeda3bada1ef46acbcd19bc3f22db493 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T16:29:56Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-aeda3bada1ef46acbcd19bc3f22db4932023-11-20T12:54:51ZengMDPI AGAtmosphere2073-44332020-09-0111995710.3390/atmos11090957Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-HomDongmei Xu0Aiqing Shu1Feifei Shen2Jinzhong Min3Hong Li4Xiaoli Xia5Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaShanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaWith the module of assimilating AMSU-A (Advanced Microwave Sounding Unit-A) and AIRS (Atmospheric Infrared Sounder) data in the WRFDA (Weather Research and Forecasting Model Data Assimilation) system, the impacts of joint assimilation of the radiance observations from two satellites on the simulation of typhoon Chan-hom (2015) are addressed. For comparison, experiments with the assimilation of solely GTS (Global Telecommunications System) data, AMSU-A data, or AIRS data are also performed. The results show that, compared to other experiments, the analysis field after assimilating multiple radiance data is closer to the observation. The simulated steering flow in its forecast field is conductive to the northeast twist of the typhoon. In addition, the simulated rainband and the FSS (fraction skill score) calculated from the experiment with assimilating multiple radiance data are better. In the deterministic forecast, better performance is obtained from the simulation with multiple radiance data in the forecast of track, MSLP (minimum sea level pressure), and MSW (maximum surface wind).https://www.mdpi.com/2073-4433/11/9/957WRFDAmultiple radiance data3DVartyphoon simulation |
| spellingShingle | Dongmei Xu Aiqing Shu Feifei Shen Jinzhong Min Hong Li Xiaoli Xia Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom Atmosphere WRFDA multiple radiance data 3DVar typhoon simulation |
| title | Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom |
| title_full | Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom |
| title_fullStr | Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom |
| title_full_unstemmed | Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom |
| title_short | Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom |
| title_sort | impacts of multiple radiance data assimilation on the simulation of typhoon chan hom |
| topic | WRFDA multiple radiance data 3DVar typhoon simulation |
| url | https://www.mdpi.com/2073-4433/11/9/957 |
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