Manuscript accepted on : 10 October 2014
Published online on: --
Torrential Rain Forecast using the Mesoscale Model WRF-ARW
Guryanov Vladimir Vladimirovich, Maddah Mohammad Amin and Perevedentsev Yuri Petrovich
Kazan Federal University, Russia, 420008, Kazan, Kremlevskaja Street, 18, Russia.
DOI : http://dx.doi.org/10.13005/bbra/1459
ABSTRACT: Annotation. Using a mesoscale model WRF-ARW1 we made a torrential rain episode forecast on January 5-6, 2014 in the province of Khuzestan (Iran) with an advance time of 24, 48 and 72 hours. To find an optimal scheme of forecast we made numerical experiments with six sets of physical parameterizations. During the numerical experiments we were able to identify that the model showed the most sensitivity to cloudiness parameterization. The rating of a forecast made on an independent material showed that the used set of parameterizations of the model WRF-ARW allows to give satisfactory forecasts of heavy rainfall with an advance time of 24 hours.
KEYWORDS: Mesoscale model; Weather forecast; Parameterization of physical processes
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| Copy the following to cite this article: Vladimirovich G. V, Amin M. M, Petrovich P. Y. Torrential Rain Forecast using the Mesoscale Model WRF-ARW. Biosci Biotech Res Asia 2014;11(spl.edn.2) |
| Copy the following to cite this URL: Vladimirovich G. V, Amin M. M, Petrovich P. Y. Torrential Rain Forecast using the Mesoscale Model WRF-ARW. Biosci Biotech Res Asia 2014;11(spl.edn.2). Available from:https://www.biotech-asia.org/?p=12123 |
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