Multiple-Radar Data Assimilation of a Squall Line with SVD-En3DVar

  • WANG Yueya ,
  • SHAO Aimei
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  • Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000

Received date: 2015-04-02

  Online published: 2016-06-28

Abstract

The effectiveness of using a three-dimensional assimilation method based on the forecast-ensemble and singular value decomposition(SVD-En3DVar)to assimilate real Doppler radar observations is investigated by applying the technique to a squall line case occurred on June 14,2009 over Jiangsu Province of China.The assimilation and forecast experiments are conducted with the Weather Research and Forecasting(WRF)model.The impact of the localization parameters in SVD-En3DVar on assimilation skill is also examined and the identical assimilation experiments are performed with WRF 3DVar as a comparison.The experimental results show that the SVD-En3DVar method has the ability to assimilate Doppler radar data effectively.The SVD-En3DVar method is slightly sensitive to horizontal localization parameter for the convective-scale weather system.In this squall line case,the horizontal localization radius of about 50 km can achieve the best prediction of composition reflectivity;The radar data assimilation both using the SVD-En3DVar and WRF 3DVar all improves the prediction of reflectivity,and the SVD-En3DVar method outperforms WRF 3DVar.Compared with observed reflectivity, the predicted reflectivity with using SVD-En3DVar can capture the structure and evolution of the squall line well.

Cite this article

WANG Yueya , SHAO Aimei . Multiple-Radar Data Assimilation of a Squall Line with SVD-En3DVar[J]. Plateau Meteorology, 2016 , 35(3) : 755 -766 . DOI: 10.7522/j.issn.1000-0534.2015.00109

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