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Variability and Trends in the Duration and Depth of Snow Cover in Iran in Thirty Years | OMICS International| Abstract
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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  • Research Article   
  • J Earth Sci Clim Change 2014, Vol 5(10): 239
  • DOI: 10.4172/2157-7617.1000239

Variability and Trends in the Duration and Depth of Snow Cover in Iran in Thirty Years

Arkian F1, Karimkhani M2* and Taheri HR1
1Meteorology Department, Marine Science and Technology Faculty, Tehran North branch, Islamic Azad University, Iran
2Marine Science and Technology Faculty, Tehran North branch, Islamic Azad University, Iran
*Corresponding Author : Karimkhani M, Marine Science and Technology Faculty, Tehran North branch, Islamic Azad University, Iran, Tel: +989123018896, Email: mahnaz_karimkhany@yahoo.com

Received Date: Oct 24, 2014 / Accepted Date: Nov 18, 2014 / Published Date: Nov 30, 2014

Abstract

This study investigates the changes and variability of the number of days with snow cover of ≥ 1 cm depth and the seasonal maximum snow cover depth at 28 meteorological stations throughout Iran, spanning a period of 30 (1981-82 to 2010-2011) to 15 (1996-97 to 2010-2011) Winter seasons. Investigation of spatial variability of parameters using GIS map shows that maximum of the snow depth and the number of days with snow cover belongs to Koohrang station in Zagros mountains about 69.4 cm and 2457 days in 15 winter season, respectively. A decreasing trend of snow cover in the 30 winter seasons is observed in areas with abundant snow cover in highland stations. However, the scale of the snow cover change is not proportional to the air temperature changes in the most stations.

Keywords: Iran; Snow cover; The number of days with snow covers; GIS analysis climate change; 30 years

Citation: Arkian F, Karimkhani M, Taheri HR (2014) Variability and Trends in the Duration and Depth of Snow Cover in Iran in Thirty Years. J Earth Sci Clim Change 5: 239. Doi: 10.4172/2157-7617.1000239

Copyright: © 2014 Arkian F, 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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