Effect of data assimilation of GPM microwave imager on the track forecast of Typhoon Matmo

Shen Feifei; Min Jinzhong; Li Hong; Xu Dongmei; Xing Jianyong; Shu Aiqing; Song Lixin

doi:10.12284/hyxb2021121

Volume 43 Issue 10

Oct. 2021

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Shen Feifei，Min Jinzhong，Li Hong, et al. 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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Effect of data assimilation of GPM microwave imager on the track forecast of Typhoon Matmo

doi: 10.12284/hyxb2021121

Shen Feifei^{1, 2, 4
,},
Min Jinzhong¹,
Li Hong²,
Xu Dongmei^{1, 3, 4
,
,},
Xing Jianyong⁵,
Shu Aiqing¹,
Song Lixin¹

1.
Key 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
2.
Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China
3.
The Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China
4.
Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610225, China
5.
National Marine Environmental Forecasting Center, Beijing 100081, China

Received Date: 2019-04-30
Rev Recd Date: 2019-11-23

Available Online: 2021-05-24

Publish Date: 2021-10-30

Abstract

Abstract

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

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References(43)

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