أساليب تطبيقية في تحليل مؤشرات التنمية الإقليمية : محافظة ديالى نموذجا

الملخص EN

This research aims to Determine the relationship between Teleconnections patterns, which is represented by Pressure oscillations and Seasonal Climate Droughts in Iraq.

A statistical Analysis using two data was carried out in this paper, first: Local Meteorology represented by the Analysis of Rainfall data in 15 Climatic Stations distributed spatially to the total spatial coverage of Iraq to monitor the Climatic Drought using the Standardized Precipitation Index S.P.I, and the second the Pressure Oscillations data, the search included 10 of which were spatially distributed as air ground control points in the spherical (Ocean- Air) global bands.

The temporal dimension of the total of these data is determined within a series extending from (1952-2017) within a seasonal sequence (Autumn, Winter, Spring).

In a practical analysis, Pearson's Correlation Method was used to determine the direction of the relationship and its long-term effect.

It was found that the distance Correlation of the Total Oscillations had a two-way relationship with the increase and decrease of the Climatic Droughts over Iraq, Positive (negative) phase with SPI + (SPI) to become a positive relationship and vice versa in its inverse relationship.

Five of the oscillators were found to be Negative: Arctic Oscillation, North Atlantic Oscillation, Mulita decade Atlantic Oscillation, East Atlantic, and another five with a positive relationship: East Atlantic West Russia, North Sea_ Caspian Pattern, Mediterranean Oscillation Index, Indian Ocean Diploe, Sothern Oscillation Index, Ocean Nino Index.

The bonds may show seasonal and spatial changes, depending on the Correlation Significance.

The oscillations affecting the Season are determined as Seasonal Climatic Indicators for the Autumn on ONI, IOD and AO & NAO, EAWR, NCP, SOI in Winter and AMO, EA and MOI in the Spring.