Influence of spatial and temporal scales on statistical analyses of rainfall variability in the River Nile basin |
| |
| Institution: | 1. Hydraulics Laboratory, KU Leuven, Kasteelpark Arenberg 40, 3001 Leuven, Belgium;2. Faculty of Technoscience, Muni University, P.O. Box 725, Arua, Uganda;1. Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China;2. School of Medicine, The University of Adelaide, Adelaide, SA 5005, Australia;3. Centre for Evidence-Based Practice, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China;1. Center for Gastric Cancer Research of Hunan Province, First Affiliated Hospital, University of South China, Hengyang, Hunan 421001, China;2. Key Laboratory of Cancer Cellular and Molecular Pathology of Hunan Provincial University, Cancer Research Institute, University of South China, Hengyang, Hunan 421001, China;3. Key Laboratory for Pharmacoproteomics of Hunan Provincial University, Institute of Pharmacy and Pharmacology, University of South China, Hengyang, Hunan 421001, China;1. Hungarian Academy of Sciences, Institute for Computer Science and Control (MTA-SZTAKI), Budapest, Hungary;2. Department of Computer Science and Egerváry Research Group (MTA-ELTE), Eötvös University, Pázmány Péter sétány 1/C, Budapest, Hungary;1. Department of Water Engineering, Urmia University, Urmia, Iran;2. Department of Water Science and Engineering, Faculty of Agriculture, Vali-e-Asr University of Rafsanjan, P.O.Box 77188-97111, Rafsanjan, Iran;3. Department of Civil Engineering, Ya?ar University, Izmir, Turkey;4. Department of Bioresource Engineering, Faculty of Agricultural and Environmental Sciences, McGill University, Canada |
| |
| Abstract: | 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° × 1° 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° × 1° to 10° × 10°. 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. |
| |
| Keywords: | Empirical orthogonal function (EOF) Variability analyses River Nile basin Climate variability Rainfall variability Meteorology |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
