Optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurements

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...

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Main Authors: A. Elmzoughi, R. Abdelfattah, V. Santalla Del Rio, Z. Belhadj
Format: Article
Language:English
Published: Copernicus Publications 2011-11-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/11/3067/2011/nhess-11-3067-2011.pdf
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author A. Elmzoughi
R. Abdelfattah
V. Santalla Del Rio
Z. Belhadj
author_facet A. Elmzoughi
R. Abdelfattah
V. Santalla Del Rio
Z. Belhadj
author_sort A. Elmzoughi
collection DOAJ
description 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<sup>−1</sup> 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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spelling doaj.art-645056b9ab604c64b604a4068833c5c82022-12-21T23:40:04ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812011-11-0111113067307910.5194/nhess-11-3067-2011Optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurementsA. ElmzoughiR. AbdelfattahV. Santalla Del RioZ. BelhadjIn 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<sup>−1</sup> 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.http://www.nat-hazards-earth-syst-sci.net/11/3067/2011/nhess-11-3067-2011.pdf
spellingShingle A. Elmzoughi
R. Abdelfattah
V. Santalla Del Rio
Z. Belhadj
Optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurements
Natural Hazards and Earth System Sciences
title Optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurements
title_full Optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurements
title_fullStr Optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurements
title_full_unstemmed Optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurements
title_short Optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurements
title_sort optimal rain rate estimation algorithm for light and heavy rain using polarimetric measurements
url http://www.nat-hazards-earth-syst-sci.net/11/3067/2011/nhess-11-3067-2011.pdf
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