Assimilation of GMS-5 satellite winds using nudging method with MM5

Gao Shanhong; Wu Zengmao; Yang Bo

doi:10.1007/BF02842620

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Assimilation of GMS-5 satellite winds using nudging method with MM5

OriginalPaper | Updated：2023-05-16

- Assimilation of GMS-5 satellite winds using nudging method with MM5
- Assimilation of GMS-5 satellite winds using nudging method with MM5
- 海洋湖沼学报（英文） 2006年24卷第3期页码：215-224
- Affiliations：
  
  1. Physical Oceanography Laboratory Ocean University of China
  2. Beijing Meteorological Observatory
- Author bio：
- Funds：
  
  Supported by Major State Basic Research Development Program of China (973 Program, No. 2005CB4223-01) and Key Technologics R & D Program of China (No. 2001BA603B-01).
- DOI：10.1007/BF02842620
  中图分类号：
- 纸质出版：2006
- Accepted：
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Assimilation of GMS-5 satellite winds using nudging method with MM5[J]. 海洋湖沼学报（英文）, 2006,24(3):215-224.

Shanhong, G., Zengmao, W. & Bo, Y. Assimilation of GMS-5 satellite winds using nudging method with MM5., Chin. J. Ocean. Limnol. 24, 215–224 (2006). https://doi.org/10.1007/BF02842620
Assimilation of GMS-5 satellite winds using nudging method with MM5[J]. 海洋湖沼学报（英文）, 2006,24(3):215-224. DOI： 10.1007/BF02842620.

Shanhong, G., Zengmao, W. & Bo, Y. Assimilation of GMS-5 satellite winds using nudging method with MM5., Chin. J. Ocean. Limnol. 24, 215–224 (2006). https://doi.org/10.1007/BF02842620 DOI：

摘要

Abstract

With the aid of Meteorological Information Composite and Processing System (MICAPS)

satellite wind vectors derived from the Geostationary Meteorological Statellite-5 (GMS-5) and retrieved by National Satellite Meteorology Center of China (NSMC) can be obtained. Based on the nudging method built in the fifth-generation Mesoscale Model (MM5) of Pennsylvania State University and National Center for Atmospheric Research

a data preprocessor is developed to convert these satellite wind vectors to those with specified format required in MM5. To examine the data preprocessor and evaluate the impact of satellite winds from GMS-5 on MM5 simulations

a series of numerical experimental forecasts consisting of four typhoon cases in 2002 are designed and implemented. The results show that the preprocessor can process satellite winds smoothly and MM5 model runs successfully with a little extra computational load during ingesting these winds

and that assimilation of satellite winds by MM5 nudging method can obviously improve typhoon track forecast but contributes a little to typhoon intensity forecast. The impact of the satellite winds depends heavily upon whether the typhoon bogussing scheme in MM5 was turned on or not. The data preprocessor developed in this paper not only can treat GMS-5 satellite winds but also has capability with little modification to process derived winds from other geostationary satellites.

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references

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