The test of typhoon forescast improve by 3d variational assimilation of GPS occulation material

SONG Xiaojiang; YANG Xuelian; XING Jianyong

doi:10.3969/j.issn.0253-4193.2013.05.007

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SONG Xiaojiang, YANG Xuelian, XING Jianyong. The test of typhoon forescast improve by 3d variational assimilation of GPS occulation material[J]. Haiyang Xuebao, 2013, 35(5): 67-75. doi: 10.3969/j.issn.0253-4193.2013.05.007

Citation:

SONG Xiaojiang, YANG Xuelian, XING Jianyong. The test of typhoon forescast improve by 3d variational assimilation of GPS occulation material[J]. Haiyang Xuebao, 2013, 35(5): 67-75. doi: 10.3969/j.issn.0253-4193.2013.05.007

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The test of typhoon forescast improve by 3d variational assimilation of GPS occulation material

doi: 10.3969/j.issn.0253-4193.2013.05.007

Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing 100081, China

Received Date: 2012-07-06

Abstract

Abstract

In recent years, along with the rapid development of atmospheric sounding technology, the application of a series of high spatial and temporal resolution unconventional data,such as GPS occulation refractive index,has compensated the shortages of Marine observation data. This paper presents the utility of GPSRO COSMIC material in meso-scale model. Cloud and precipation suffer less inpact on COSMIC,in addition COSMIC has high precision and high vertically resolution,so it could improve the initial field in model and then raise the prediction accuracy. With incorporated the meso-scale meterological model, V3.0.1 WRF,and 3d variational assimilation system(3DVAR), the MORAKOT landing process is simulated by using NCEP,GTS and COSMIC. Experiment results show: assimilation COSMIC could improve the rainstorm forecast in certain degree,and meanwhile through to the preliminarily discussion for each diagnosis quantity and different levels of wind field,it considers the assimilation data could play a certain indicate role for typhoon intensity,pathway and precipation by making better forecast results for the amount.
- typhoon numerical simulation,
- 3d variational data assimilation,
- COSMIC data,
- reflectivity

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References(16)

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