Synoptic Analysis and Climate Change on Precipitation During the Growth of vitis vinifera in Hamedan Province Vineyards
Journal Title: International Journal of Farming and Allied Sciences - Year 2013, Vol 2, Issue 2
Abstract
Trend analysis of climate variables has important role to detect climate variations and changes probably. Heavy precipitation events are one of the most important factors to reduce the products and raisins exports. This research aims to analysis of trend of sea level pressure patterns during growth of vitis vinifera in heavy precipitation events in Hamedan province. For this purpose, daily precipitations of 4 synoptic stations were used from March to October and from 1993 to 2009. Sea level pressure data are extracted from www.ncdc.noaa.gov for 100 days in 2.5º*2.5º spatial resolution and 6 hours temporal resolution. The SLP patterns were computed using principal component analysis (PCA), cluster analysis (CA) and Ward linkage. Parametric methods (regression analysis and Pierson correlation coefficient) and non-parametric methods (Man-Kendall and spearman) are used and compared. The results show that there are 5 SLP patterns in heavy precipitation days during the growth of vitis vinifera. Combined European and Siberian high pressure systems –low pressure system over Iran and Black Sea high pressure system- low pressure system in the West south in Iran have a trend increasingly but the other patterns have a trend decreasingly or without trend. The role of low pressure systems in Iran is more important than ones in Arab country. Also, the role of European high pressure system is more important than Siberian system to occur the heavy precipitation events in recent years.
Authors and Affiliations
H. Nouri
Keywords
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