Rainfall estimation based on NAW approach using MSG-SEVIRI images: An application in north Algeria
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 1
Abstract
In this work, we will adapt the NAW (Nagri, Adler and Wetzel) precipitation, estimation approach to the north Algeria events using the Meteosat Second Generation (MSG) satellite images. The tests are carried out on seven areas of northern Algeria: Sidi Bel Abbes, Oran Port, Algiers Port, Dar El Beida, Bedjaia, Jijel-Achouat and Annaba, in winter 2006. The NAW approach is applied by thresholding to temperature from 253 K. The validation is performed by comparaison the estimated rainfall to in situ measures collected by the National Office of Meteorology in Dar El Beida (Algeria). We use the infrared data (10.8µm channel) of SEVIRI sensor in this study. The results obtained indicate that the NAW approach gives satisfactory results for the rain rates: 4mm/h assigned to the coldest 10%, 2mm/h assigned to the next 40% and 0mm/h given to the remaining 50% of the area defined as cloud. The rain rate 8mm/h assigned to the coldest 10% of the pixels in the cloud applied for the convective clouds observed for tropical regions are not valid for the Algerian climate, especially for the stratiform clouds type.
Authors and Affiliations
Fatiha Mokdad*| Laboratory of Image Processing and Radiation, University of Sciences and Technology Houari Boumediene (U.S.T.H.B.) B.P. 32, El Alia, Bab Ezzouar, Algiers, Algeria., Boualem Haddad| Laboratory of Image Processing and Radiation, University of Sciences and Technology Houari Boumediene (U.S.T.H.B.) B.P. 32, El Alia, Bab Ezzouar, Algiers, Algeria.
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