Experiment of assimilating Doppler radar data in Typhoon Saomai based on the different initial conditions

Shen Feifei; Tang Chao; Xu Dongmei; Li Hong; Liu Ruixia

doi:10.12284/hyxb2021075

Volume 43 Issue 1

Feb. 2021

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Shen Feifei，Tang Chao，Xu Dongmei, et al. Experiment of assimilating Doppler radar data in Typhoon Saomai based on the different initial conditions[J]. Haiyang Xuebao，2021, 43(1)：69–81 doi: 10.12284/hyxb2021075

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Experiment of assimilating Doppler radar data in Typhoon Saomai based on the different initial conditions

doi: 10.12284/hyxb2021075

Shen Feifei^{1, 2, 3
,},
Tang Chao^{1, 4},
Xu Dongmei^{1, 2, 3
,
,},
Li Hong⁵,
Liu Ruixia⁶

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.
Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610225, China
3.
The Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China
4.
Weixi Meteorological Bureau, Weixi 674600, China
5.
Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China
6.
National Satellite Meteorological Center, Beijing 100081, China

Received Date: 2019-10-23
Rev Recd Date: 2019-12-06

Available Online: 2020-12-30

Publish Date: 2021-01-25

Abstract

Abstract

Based on the WRF (Weather Research and Forecasting Model) and its three-dimensional variational data assimilation system, the numerical simulation and Doppler radar data assimilation are conducted with the data of GFS (Global Forecasting System) and JMA (Japan Meteorological Agency) reanalyses as the initial conditions respectively. The impact of assimilation radar data in different background fields on the initial typhoon field, internal structure and forecast were investigated based on the super typhoon case Saomai in 2006. The results show that, both experiments with GFS and JMA data are able to enhance the typhoon initial winds field at 700 hPa and geopotential height field at 500 hPa after assimilating radar observations. The improvements in terms of the root-mean-square error during the 3 h during the data assimilation cycling, the minimum sea level pressure, and the thermal and dynamic structure from the JMA tests are more significant than that with GFS data. The forecast skills for the precipitation, the typhoon track, and the intensity are also noticeable with JMA data by correctly predicting the precipitation location in the front of typhoon.
- initial conditions,
- data assimilation,
- WRF model,
- radar radial velocity

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References(24)

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