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| Titel |
Optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurements |
| VerfasserIn |
A. Elmzoughi, R. Abdelfattah, V. Santalla Del Rio, Z. Belhadj |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 11, no. 11 ; Nr. 11, no. 11 (2011-11-21), S.3067-3079 |
| Datensatznummer |
250009790
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| Publikation (Nr.) |
 copernicus.org/nhess-11-3067-2011.pdf |
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| Zusammenfassung |
| In this paper, we propose an ameliorated physically-based
rain rate estimation algorithm for semi-arid regions using the
Rayleigh approximation. The proposed algorithm simultaneously uses
the reflectivity and the specific differential phase to provide an
accurate estimation for both small and large rain rates. In order
to validate the proposed estimator, simulated polarimetric rain
rate data based on a dual approach, referring to both physical and
statistical models of the rain target, are used. Moreover,
experimental radar data (the same as used in Matrosov et al., 2006) taken
in light to moderate stratiform rainfalls with rain rates varying
between 2 and 15 mm h−1 were collected as part of the GPM pilot
experiment. It is shown that the proposed algorithm for rain rate
estimation based on the full set of polarimetric radar
measurements agree better with in situ disdrometer ones. |
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