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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Published in:Hydrology and Earth System Sciences
Main Authors: C. Onyutha, P. Willems
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2015
Subjects:
geo
Online Access:https://doi.org/10.5194/hess-19-2227-2015
http://www.hydrol-earth-syst-sci.net/19/2227/2015/hess-19-2227-2015.pdf
https://doaj.org/article/39b439a00c0844b7a97f038896a9988f
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:39b439a00c0844b7a97f038896a9988f 2023-05-15T17:35:00+02:00 Spatial and temporal variability of rainfall in the Nile Basin C. Onyutha P. Willems 2015-05-01 https://doi.org/10.5194/hess-19-2227-2015 http://www.hydrol-earth-syst-sci.net/19/2227/2015/hess-19-2227-2015.pdf https://doaj.org/article/39b439a00c0844b7a97f038896a9988f en eng Copernicus Publications 1027-5606 1607-7938 doi:10.5194/hess-19-2227-2015 http://www.hydrol-earth-syst-sci.net/19/2227/2015/hess-19-2227-2015.pdf https://doaj.org/article/39b439a00c0844b7a97f038896a9988f undefined Hydrology and Earth System Sciences, Vol 19, Iss 5, Pp 2227-2246 (2015) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2015 fttriple https://doi.org/10.5194/hess-19-2227-2015 2023-01-22T17:49:54Z 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. Article in Journal/Newspaper North Atlantic Unknown Indian Pacific Hydrology and Earth System Sciences 19 5 2227 2246
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
C. Onyutha
P. Willems
Spatial and temporal variability of rainfall in the Nile Basin
topic_facet geo
envir
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.
format Article in Journal/Newspaper
author C. Onyutha
P. Willems
author_facet C. Onyutha
P. Willems
author_sort C. Onyutha
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 Copernicus Publications
publishDate 2015
url https://doi.org/10.5194/hess-19-2227-2015
http://www.hydrol-earth-syst-sci.net/19/2227/2015/hess-19-2227-2015.pdf
https://doaj.org/article/39b439a00c0844b7a97f038896a9988f
geographic Indian
Pacific
geographic_facet Indian
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genre North Atlantic
genre_facet North Atlantic
op_source Hydrology and Earth System Sciences, Vol 19, Iss 5, Pp 2227-2246 (2015)
op_relation 1027-5606
1607-7938
doi:10.5194/hess-19-2227-2015
http://www.hydrol-earth-syst-sci.net/19/2227/2015/hess-19-2227-2015.pdf
https://doaj.org/article/39b439a00c0844b7a97f038896a9988f
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container_title Hydrology and Earth System Sciences
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container_start_page 2227
op_container_end_page 2246
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