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Neural Computing and Applications

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01.12.2013 | Original Article

ENSO effect investigation on total monthly precipitation in northern coasts of the Oman Gulf based on fuzzy analysis

Erschienen in: Neural Computing and Applications | Sonderheft 1/2013

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Abstract

The effects of ENSO have been considered as the major variables in weather changes in the Middle East. This issue has been shown by regression indexes in a number of papers. Weather forecasts could be influenced by some variables that have uncertainty, so the deterministic approaches may lead to incorrect predictions. The proposed algorithm can be used when some variables have uncertainty. In this study, a fuzzy-based probabilistic approach has been chosen to show the effect of El Niño and La Niña on the monthly total precipitation in northern coasts of the Oman Gulf.

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Titel: ENSO effect investigation on total monthly precipitation in northern coasts of the Oman Gulf based on fuzzy analysis
Publikationsdatum: 01.12.2013
Erschienen in: Neural Computing and Applications / Ausgabe Sonderheft 1/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-013-1483-y

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