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Spatially Decomposed Low Cloud Amounts and Wavelet Analysis | OMICS International| Abstract
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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  • Research Article   
  • J Earth Sci Climat Change 2012, Vol 3(3): 125
  • DOI: 10.4172/2157-7617.1000125

Spatially Decomposed Low Cloud Amounts and Wavelet Analysis

Neïla Zarrouk* and Raouf Bennaceur
Laboratoire de Physique de la Matière Condensée, Faculté des Sciences de Tunis, Université Tunis El Manar, , Tunisia
*Corresponding Author : Neïla Zarrouk, Laboratoire de Physique de la Matière Condensée, Faculté des Sciences de Tunis, Université Tunis El Manar, Tunisia, Tel: 0021623066470, Email: neila.zarrouk@yahoo.fr

Received Date: Sep 20, 2012 / Accepted Date: Nov 19, 2012 / Published Date: Nov 21, 2012

Abstract

In this work we have used monthly data series of low cloud amounts (LCA) describing the repartition and evolution of these cloud amounts in space and time. Thus we have decomposed values of low cloud amounts into spherical harmonics. For each month we have decomposed in spherical harmonics the values of LCA varying in space. Limiting our development to the fourth spherical wave we have obtained 35 components for each month covering the period 01/1990-12/1992. Each correspondent spherical component describing monthly variations of LCA is then submitted to Morlet wavelet analysis. Generally we can notice that the most LCA are obtained for winter and spring. Indeed Sun angle, solar intensity and clouds are important controls of the weather. At the equinox the Sun passes directly overhead at solar noon at the equator. Although the noon solar Sun angle on the equinox is greater than that on the first day of winter, the first remains low inducing also high amounts of clouds.

Keywords:  Low cloud amounts; Spherical harmonics; Wavelets

Citation: Zarrouk N, Bennaceur R (2012) Spatially Decomposed Low Cloud Amounts and Wavelet Analysis. J Earth Sci Climate Change 3: 125. Doi: 10.4172/2157-7617.1000125

Copyright: ©2012 Zarrouk N, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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