EN
Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images
Abstract
The objective of this paper is the estimation of rainfall over the Algerian territory using MSG (Meteosat Second Generation) infrared data. To achieve this aim, we applied a calibrated GPI (GOES Precipitation Index) approach. This technique is tested to the complex situation of the Mediterranean climate. The rainfall estimated is obtained by using an affectation of adapted rain rates for a brightness temperature. These rain rates are determinate by analysing two years of in situ measures. The tests have been concluded during the rainy months January, February, and September of 2006/2007. The results show a good correlation between measured and estimated rainfall in winter and summer where stratiform and convective cells are present.
Keywords
References
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Details
Primary Language
English
Subjects
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Journal Section
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Publication Date
April 1, 2015
Submission Date
October 29, 2014
Acceptance Date
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Published in Issue
Year 2015 Volume: 3 Number: 2
APA
Tebbi, M. A., & Haddad, B. (2015). Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images. International Journal of Intelligent Systems and Applications in Engineering, 3(2), 78-81. https://doi.org/10.18201/ijisae.16558
AMA
1.Tebbi MA, Haddad B. Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images. International Journal of Intelligent Systems and Applications in Engineering. 2015;3(2):78-81. doi:10.18201/ijisae.16558
Chicago
Tebbi, Mohsene Abdelfettah, and Boualem Haddad. 2015. “Rainfall Estimation for the South Shore of the Mediterranean Sea Using MSG Infrared Images”. International Journal of Intelligent Systems and Applications in Engineering 3 (2): 78-81. https://doi.org/10.18201/ijisae.16558.
EndNote
Tebbi MA, Haddad B (April 1, 2015) Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images. International Journal of Intelligent Systems and Applications in Engineering 3 2 78–81.
IEEE
[1]M. A. Tebbi and B. Haddad, “Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images”, International Journal of Intelligent Systems and Applications in Engineering, vol. 3, no. 2, pp. 78–81, Apr. 2015, doi: 10.18201/ijisae.16558.
ISNAD
Tebbi, Mohsene Abdelfettah - Haddad, Boualem. “Rainfall Estimation for the South Shore of the Mediterranean Sea Using MSG Infrared Images”. International Journal of Intelligent Systems and Applications in Engineering 3/2 (April 1, 2015): 78-81. https://doi.org/10.18201/ijisae.16558.
JAMA
1.Tebbi MA, Haddad B. Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images. International Journal of Intelligent Systems and Applications in Engineering. 2015;3:78–81.
MLA
Tebbi, Mohsene Abdelfettah, and Boualem Haddad. “Rainfall Estimation for the South Shore of the Mediterranean Sea Using MSG Infrared Images”. International Journal of Intelligent Systems and Applications in Engineering, vol. 3, no. 2, Apr. 2015, pp. 78-81, doi:10.18201/ijisae.16558.
Vancouver
1.Mohsene Abdelfettah Tebbi, Boualem Haddad. Rainfall estimation for the south shore of the Mediterranean Sea using MSG infrared images. International Journal of Intelligent Systems and Applications in Engineering. 2015 Apr. 1;3(2):78-81. doi:10.18201/ijisae.16558
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