Spatial and temporal variability of rainfall in the Nile Basin
Spatiotemporal variability in annual and seasonal rainfall totals were assessed at 37 locations of the Nile Basin in Africa using quantile perturbation method (QPM). To get insight into the spatial difference in rainfall statistics, the stations were grouped based on the pattern of the long-term mea...
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European Geophysical Society
2015
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ftunivleuven:oai:lirias.kuleuven.be:123456789/498807 2023-05-15T17:34:57+02:00 Spatial and temporal variability of rainfall in the Nile Basin Onyutha, Charles Willems, Patrick 2015 4044962 bytes application/pdf https://lirias.kuleuven.be/handle/123456789/498807 https://doi.org/10.5194/hess-19-2227-2015 https://lirias.kuleuven.be/bitstream/123456789/498807/1//Charles-RainfallVariability-NB+%28HESS+2015%29.pdf en eng European Geophysical Society Hydrology and Earth System Sciences vol:19 issue:5 pages:2227-2246 https://lirias.kuleuven.be/handle/123456789/498807 1027-5606 doi:10.5194/hess-19-2227-2015 1607-7938 https://lirias.kuleuven.be/bitstream/123456789/498807/1//Charles-RainfallVariability-NB+%28HESS+2015%29.pdf 321070;private Rainfall Spatial variability Temporal variability Nile basin Trend analysis Article IT 321070;Article 2015 ftunivleuven https://doi.org/10.5194/hess-19-2227-2015 2016-02-10T20:56:43Z Spatiotemporal variability in annual and seasonal rainfall totals were assessed at 37 locations of the Nile Basin in Africa using quantile perturbation method (QPM). To get insight into the spatial difference in rainfall statistics, the stations were grouped based on the pattern of the long-term mean (LTM) of monthly rainfall and that of temporal variability. To find the origin of the driving forces for the temporal variability in rainfall, correlation analyses were carried out using global monthly sea level pressure (SLP) and sea surface temperature (SST). Further investigations to support the obtained correlations were made using a total of 10 climate indices. It was possible to obtain three groups of stations; those within the equatorial region (A), Sudan and Ethiopia (B), and Egypt (C). For group A, annual rainfall was found to be below (above) the reference during the late 1940s to 1950s (1960s to mid-1980s). Conversely for groups B and C, the period from 1930s to late 1950s (1960s to 1980s) was characterized by anomalies being above (below) the reference. For group A, significant linkages were found to Niño 3, Niño 3.4, and the North Atlantic Ocean and Indian Ocean drivers. Correlations of annual rainfall of group A with Pacific Ocean-related climate indices were inconclusive. With respect to the main wet seasons, the June–September rainfall of group B has strong connection to the influence from the Indian Ocean. For the March–May (October–February) rainfall of group A (C), possible links to the Atlantic and Indian oceans were found. status: published Article in Journal/Newspaper North Atlantic KU Leuven: Lirias Indian Pacific Hydrology and Earth System Sciences 19 5 2227 2246 |
institution |
Open Polar |
collection |
KU Leuven: Lirias |
op_collection_id |
ftunivleuven |
language |
English |
topic |
Rainfall Spatial variability Temporal variability Nile basin Trend analysis |
spellingShingle |
Rainfall Spatial variability Temporal variability Nile basin Trend analysis Onyutha, Charles Willems, Patrick Spatial and temporal variability of rainfall in the Nile Basin |
topic_facet |
Rainfall Spatial variability Temporal variability Nile basin Trend analysis |
description |
Spatiotemporal variability in annual and seasonal rainfall totals were assessed at 37 locations of the Nile Basin in Africa using quantile perturbation method (QPM). To get insight into the spatial difference in rainfall statistics, the stations were grouped based on the pattern of the long-term mean (LTM) of monthly rainfall and that of temporal variability. To find the origin of the driving forces for the temporal variability in rainfall, correlation analyses were carried out using global monthly sea level pressure (SLP) and sea surface temperature (SST). Further investigations to support the obtained correlations were made using a total of 10 climate indices. It was possible to obtain three groups of stations; those within the equatorial region (A), Sudan and Ethiopia (B), and Egypt (C). For group A, annual rainfall was found to be below (above) the reference during the late 1940s to 1950s (1960s to mid-1980s). Conversely for groups B and C, the period from 1930s to late 1950s (1960s to 1980s) was characterized by anomalies being above (below) the reference. For group A, significant linkages were found to Niño 3, Niño 3.4, and the North Atlantic Ocean and Indian Ocean drivers. Correlations of annual rainfall of group A with Pacific Ocean-related climate indices were inconclusive. With respect to the main wet seasons, the June–September rainfall of group B has strong connection to the influence from the Indian Ocean. For the March–May (October–February) rainfall of group A (C), possible links to the Atlantic and Indian oceans were found. status: published |
format |
Article in Journal/Newspaper |
author |
Onyutha, Charles Willems, Patrick |
author_facet |
Onyutha, Charles Willems, Patrick |
author_sort |
Onyutha, Charles |
title |
Spatial and temporal variability of rainfall in the Nile Basin |
title_short |
Spatial and temporal variability of rainfall in the Nile Basin |
title_full |
Spatial and temporal variability of rainfall in the Nile Basin |
title_fullStr |
Spatial and temporal variability of rainfall in the Nile Basin |
title_full_unstemmed |
Spatial and temporal variability of rainfall in the Nile Basin |
title_sort |
spatial and temporal variability of rainfall in the nile basin |
publisher |
European Geophysical Society |
publishDate |
2015 |
url |
https://lirias.kuleuven.be/handle/123456789/498807 https://doi.org/10.5194/hess-19-2227-2015 https://lirias.kuleuven.be/bitstream/123456789/498807/1//Charles-RainfallVariability-NB+%28HESS+2015%29.pdf |
geographic |
Indian Pacific |
geographic_facet |
Indian Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Hydrology and Earth System Sciences vol:19 issue:5 pages:2227-2246 https://lirias.kuleuven.be/handle/123456789/498807 1027-5606 doi:10.5194/hess-19-2227-2015 1607-7938 https://lirias.kuleuven.be/bitstream/123456789/498807/1//Charles-RainfallVariability-NB+%28HESS+2015%29.pdf |
op_rights |
321070;private |
op_doi |
https://doi.org/10.5194/hess-19-2227-2015 |
container_title |
Hydrology and Earth System Sciences |
container_volume |
19 |
container_issue |
5 |
container_start_page |
2227 |
op_container_end_page |
2246 |
_version_ |
1766133957651333120 |