Influence of spatial and temporal scales on statistical analyses of rainfall variability in the River Nile basin

被引:23
|
作者
Onyutha, Charles [1 ,2 ]
Willems, Patrick [1 ]
机构
[1] Katholieke Univ Leuven, Hydraul Lab, Kasteelpk Arenberg 40, B-3001 Leuven, Belgium
[2] Muni Univ, Fac Technosci, POB 725, Arua, Uganda
关键词
Empirical orthogonal function (EOF); Variability analyses; River Nile basin; Climate variability; Rainfall variability; Meteorology; SINGULAR-VALUE DECOMPOSITION; ATLANTIC OSCILLATION; AFRICA; OCEAN; ENSO;
D O I
10.1016/j.dynatmoce.2016.10.008
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In this study, empirical orthogonal function was applied to analyze rainfall variability in the Nile basin based on various spatio-temporal scales. The co-occurrence of rainfall variability and the Variation in selected climate indices was analyzed based on various spatio-temporal scales. From the highest to the lowest, the cumulative amount of variance explained by the first two principal components (PCs) for any selected size of the spatial domain was obtained for the annual, seasonal, and monthly rainfall series respectively. The variability in the annual rainfall of 1 degrees x 1 degrees spatial coverage explained by only the first PC was about 55% on average. However, this percentage reduced to about 40% on average across the study area when the size of the spatial domain was increased from 1 degrees x 1 degrees to 10 degrees x 10 degrees. The variation in climate indices was shown to explain rainfall variability more suitably at a regional than location-specific spatial scale. The magnitudes and sometimes signs of the correlation between rainfall variability and the variation in climate indices tended to vary from one time scale to another. These findings are vital in the selection of spatial and temporal scales for more considered attribution of rainfall variability across the study area. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:26 / 42
页数:17
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