Characterizing variability of spatial patterns of annual and seasonal precipitation of Turkey and identifying the probable driving factors including teleconnection patterns

Ali Ümran Kömüşçü, Mehmet Aksoy
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Abstract

This study aims to delve into the spatial modes of Turkish precipitation variability using a rotated empirical orthogonal function (EOF) method and describe the resulting variability patterns in association with atmospheric and non-atmospheric influences. The varimax rotation of the EOF determines modes that are more localized in space than the conventional EOF modes. The primary modes of the annual, wet season, and dry season precipitation from 213 stations for the 1975–2021 period were extracted and described concerning atmospheric processes, prominent teleconnection patterns, orography, and continentality. The first three EOFs accounted for approximately 67 and 62% of the total variance in the annual and wet season precipitation series, respectively, whereas only 50% of the variance was captured by the first three EOFs for dry season precipitation. The spatial coherence of the highest negative and positive EOF1 loadings of the annual data was observed in the western, southern, and north-eastern regions. The contribution of atmospheric moisture advection in precipitation variability diminishes in summer, whereas the role of local land surface processes increases. Some regional teleconnection patterns, such as Arctic oscillation (AO) and North Atlantic oscillation (NAO), also contributed to the annual variability in precipitation.
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描述土耳其年降水量和季节降水量空间模式的变化特征,确定可能的驱动因素,包括远距离联系模式
本研究旨在利用旋转经验正交函数(EOF)方法深入研究土耳其降水变异的空间模式,并结合大气和非大气影响因素描述由此产生的变异模式。与传统的 EOF 模式相比,EOF 的 varimax 旋转决定了在空间上更加局部化的模式。提取了 1975-2021 年期间 213 个站点的年降水量、雨季降水量和旱季降水量的主要模式,并就大气过程、突出的远距离联系模式、地形和大陆性进行了描述。前三个 EOF 分别占年降水量和雨季降水量序列总方差的约 67% 和 62%,而前三个 EOF 仅占旱季降水量方差的 50%。在西部、南部和东北部地区观测到了年降水量数据负载荷和正载荷最高的空间一致性。夏季降水变化中大气水汽平流的作用减弱,而局地陆面过程的作用增强。一些区域远程联系模式,如北极涛动和北大西洋涛动,也对降水的年变化起了作用。
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