Torrential rain forecast using the mesoscale model WRF-ARW

dc.contributor.author	Guryanov V.
dc.contributor.author	Maddah M.
dc.contributor.author	Perevedentsev Y.
dc.date.accessioned	2018-09-18T20:12:08Z
dc.date.available	2018-09-18T20:12:08Z
dc.date.issued	2014
dc.identifier.issn	0973-1245
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/137515
dc.description.abstract	Annotation. Using a mesoscale model WRF-ARW1we 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.
dc.relation.ispartofseries	Biosciences Biotechnology Research Asia
dc.subject	Mesoscale model
dc.subject	Parameterization of physical processes
dc.subject	Weather forecast
dc.title	Torrential rain forecast using the mesoscale model WRF-ARW
dc.type	Article
dc.relation.ispartofseries-volume	11
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	181
dc.source.id	SCOPUS09731245-2014-11-SID84923070321

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Публикации сотрудников КФУ Scopus [24551]
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