Gorgucci, E. and Scarchilli, G. and Chandrasekar, V. (1997) A technique to obtain a multiparameter radar rainfall algorithm using the probability matching procedure. Il nuovo cimento C, 20 C (2). pp. 147-164. ISSN 1826-9885
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Abstract
The natural cumulative distributions of rainfall observed by a network of rain gauges and a multiparameter radar are matched to derive multiparameter radar algorithms for rainfall estimation. Conventional usage of multiparameter radar measurements for rainfall estimation has been associated with tracking the variability of the raindrop size distribution. The use of multiparameter radar measurements in a statistical framework to estimate rainfall is presented in this paper. The techniques developed in this paper are applied to the radar and rain gauge measurement of rainfall observed in central Florida and central Italy. Conventional pointwise estimates of rainfall are also compared. The probability matching procedure, when applied to the radar and surface measurements, shows that multiparameter radar algorithms can match the probability distribution function better than the reflectivity-based algorithms, thereby indicating the potential of multiparameter radar measurements for statistical approach to rainfall estimation. It is also shown that the multiparameter radar algorithm derived matching the cumulative distribution function of rainfall provides more accurate estimates of rainfall on the ground in comparison to any conventional reflectivity-based algorithm.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Water in the atmosphere (humidity, clouds, evaporation, precipitation) |
| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 09 May 2017 11:14 |
| Last Modified: | 09 May 2017 11:14 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/11991 |
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