A Robust Error-Based Rain Estimation Method for Polarimetric Radar. Part I: Development of a Method
2011 ◽
Vol 50
(10)
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pp. 2092-2103
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Keyword(s):
AbstractThe 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.
2012 ◽
Vol 51
(9)
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pp. 1702-1713
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Keyword(s):
2019 ◽
Vol 2019
(1)
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Keyword(s):
Keyword(s):
2005 ◽
Vol 62
(1)
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pp. 220-230
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Keyword(s):
1994 ◽
Vol 15
(14)
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pp. 2871-2885
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2014 ◽
Vol 53
(8)
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pp. 2017-2033
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Keyword(s):
2018 ◽
Vol 10
(8)
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pp. 168781401879087
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2012 ◽
Vol 29
(6)
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pp. 772-795
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Keyword(s):