Assessment of CINRAD Regional Coverage for Quantitative Precipitation Estimation

  • WANG Hongyan ,
  • LIU Liping
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  • State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China;2. Nanjing Information of Information Science & Technology, Nanjing 210044, China

Received date: 2014-04-23

  Online published: 2015-12-28

Abstract

Accurate analysis of coverage of weather radar is important for using CINRAD observations, and flooding is one of the main meteorological disasters in China. In this paper, a method considering terrains' occultation and according to local distribution of melting layer height is supported to assess coverage of weather radar for quantitative precipitation estimation (QPE). Taking Zhejiang province as an example, objective assessment of CINRAD regional coverage is presented respectively for CINRAD operational QPE and algorithm considering terrains' occultation to radar beam. The results are:during the flood season, 17% of the maximum covered area is invalid as the result of the limit of melting layer. And coverage capability of beam below melting layer is directly related to beam blockage, blind area is very small for both QPE regions. For default operational CINRAD QPE, 35% of the maximum covered area faces the risk of underestimation due to partial beam blockage, which covers most region of the province. When considering terrains' occultation, most of the region, more than 82%, is valid coverage, including the whole province. Regional coverage is good to most rainfall of a year too. Finally, a improved method of getting hybrid scan from all elevation cuts with both the restriction of melting layer height and beam blockage is presented, in addition to good coverage, it's QPE results agree with actual precipitation distribution best when comparing with operational CINRAD method and hybrid scan method below averaged rain top.

Cite this article

WANG Hongyan , LIU Liping . Assessment of CINRAD Regional Coverage for Quantitative Precipitation Estimation[J]. Plateau Meteorology, 2015 , 34(6) : 1772 -1784 . DOI: 10.7522/j.issn.1000-0534.2014.00122

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