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Effect of data assimilation of GPM microwave imager on the track forecast of Typhoon Matmo
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Feifei Shen1, 2, 4, Jinzhong Min1, Hong Li2, Dongmei Xu1, 3, 4, *, Jianyong Xing5, Aiqing Shu1, Lixin Song1
Haiyang Xuebao | 2021, 43(10) : 124 - 136
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Haiyang Xuebao | 2021, 43(10): 124-136
• Article •
Effect of data assimilation of GPM microwave imager on the track forecast of Typhoon Matmo
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Feifei Shen1, 2, 4, Jinzhong Min1, Hong Li2, Dongmei Xu1, 3, 4, *, Jianyong Xing5, Aiqing Shu1, Lixin Song1
Affiliations
  • 1Key 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, China
  • 2Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China
  • 3The Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China
  • 4Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610225, China
  • 5National Marine Environmental Forecasting Center, Beijing 100081, China
Published: 2021-10-25 doi: 10.12284/hyxb2021121
Outline
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The interface of assimilating radiance on a new satellite sensor GMI (Global Precipitation Measurement (GPM) microwave imager) was constructed in the framework of the mesoscale numerical model WRF (Weather Research and Forecasting Model) and its three-dimensional variational assimilation system (3DVAR). The assimilation of GMI radiance data is applied for the typhoon system based on the case of typhoon Matmo in the Pacific typhoon season in 2014 before its landing. The results show that, after assimilating the GMI radiance data under the clear sky condition, the typhoon position in the background of the model is effectively corrected. The GMI data are able to improve the warm core structure of the typhoon when compared with the control experiment without assimilation and enhanced the typhoon vortex circulation structure at the same time. Data assimilating of GMI data further improves the forecast skills of the typhoon track.

Weather Research and Forecasting Model  /  GMI (GPM microwave imager)  /  three-dimensional variational assimilation  /  typhoon
Feifei Shen, Jinzhong Min, Hong Li, Dongmei Xu, Jianyong Xing, Aiqing Shu, Lixin Song. Effect of data assimilation of GPM microwave imager on the track forecast of Typhoon Matmo[J]. Haiyang Xuebao, 2021 , 43 (10) : 124 -136 . DOI: 10.12284/hyxb2021121
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Article Info
doi: 10.12284/hyxb2021121
  • Receive Date：2019-04-30
  • Online Date：2026-02-26
  • Published：2021-10-25
Article Data
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History
  • Received：2019-04-30
  • Revised：2019-11-23
Funding
Affiliations
    1Key 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, China
    2Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China
    3The Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China
    4Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610225, China
    5National Marine Environmental Forecasting Center, Beijing 100081, China
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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