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 journalArticle

    10 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

    Fingerprint Dive into the research topics of 'A Robust error-based rain estimation method for polarimetric radar. Part I: Development of a method'. Together they form a unique fingerprint.

    Cite this