A Robust error-based rain estimation method for polarimetric radar. Part I: Development of a method

Acacia S. Pepler, Peter T. May, Merhala Thurai

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)

    Abstract

    The algorithms used to estimate rainfall from polarimetric radar variables show significant variance in error characteristics over the range of naturally occurring rain rates. As a consequence, to improve rainfall estimation accuracy using polarimetric radar, it is necessary to optimally combine a number of different algorithms. In this study, a new composite method is proposed that weights the algorithms by the inverse of their theoretical error. A number of approaches are discussed and are investigated using simulated radar data calculated from disdrometer measurements. The resultant algorithms show modest improvement over composite methods based on decision-tree logic-in particular, at rain rates above 20 mm h-1.
    Original languageEnglish
    Pages (from-to)2092-2103
    Number of pages12
    JournalJournal of Applied Meteorology and Climatology
    Volume50
    Issue number10
    DOIs
    Publication statusPublished - 2011

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