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An Integrated Method of Multiradar Quantitative Precipitation Estimation Based on Cloud Classification and Dynamic Error Analysis

机译:基于云分类和动态误差分析的多等定量降水估计的综合方法

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摘要

Relationships between radar reflectivity factor and rainfall are different in various precipitation cloud systems. In this study, the cloud systems are firstly classified into five categories with radar and satellite data to improve radar quantitative precipitation estimation (QPE) algorithm. Secondly, the errors of multiradar QPE algorithms are assumed to be different in convective and stratiform clouds.The QPE data are then derived with methods of Z-R, Kalman filter (KF), optimum interpolation (OI), Kalman filter plus optimum interpolation (KFOI), and average calibration (AC) based on error analysis on the Huaihe River Basin. In the case of flood on the early of July 2007, the KFOI is applied to obtain the QPE product. Applications show that the KFOI can improve precision of estimating precipitation for multiple precipitation types.
机译:None

著录项

  • 来源
    《Advances in Meteorology》 |2017年第1期|共6页
  • 作者单位

    Anhui Meteorology Institute Anhui Key Lab of Atmospheric Science and Satellite Remote Sensing Hefei Anhui 230031 China;

    Anhui Meteorology Institute Anhui Key Lab of Atmospheric Science and Satellite Remote Sensing Hefei Anhui 230031 China;

    Anhui Meteorology Institute Anhui Key Lab of Atmospheric Science and Satellite Remote Sensing Hefei Anhui 230031 China;

    Shouxian National Climate Observation Station Huainan Anhui 232200 China;

    Anhui Meteorology Institute Anhui Key Lab of Atmospheric Science and Satellite Remote Sensing Hefei Anhui 230031 China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
  • 关键词

    Integrated Method; Multiradar Quantitative; Precipitation Estimation Based;

    机译:综合方法;多raradar定量;基于降水估计;

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