Spatial and temporal variability of rainfall in the Nile Basin

Spatio-temporal variability in annual and seasonal rainfall totals were assessed at 37 locations of the Nile Basin in Africa using quantile perturbation method. To get insight into the spatial difference in rainfall statistics, the stations were grouped based on the pattern of the long-term mean of...

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Main Authors: Onyutha, Charles, Willems, Patrick
Format: Article in Journal/Newspaper
Language:English
Published: European Geophysical Society 2014
Subjects:
Online Access:https://lirias.kuleuven.be/handle/123456789/475578
https://doi.org/10.5194/hessd-18-1-2014
https://lirias.kuleuven.be/bitstream/123456789/475578/4//Onyutha_and_Willems_2014_hessd-11-11945-2014.pdf
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spelling ftunivleuven:oai:lirias.kuleuven.be:123456789/475578 2023-05-15T17:34:57+02:00 Spatial and temporal variability of rainfall in the Nile Basin Onyutha, Charles Willems, Patrick 2014 7494034 bytes application/pdf https://lirias.kuleuven.be/handle/123456789/475578 https://doi.org/10.5194/hessd-18-1-2014 https://lirias.kuleuven.be/bitstream/123456789/475578/4//Onyutha_and_Willems_2014_hessd-11-11945-2014.pdf en eng European Geophysical Society Hydrology and Earth System Sciences & Discussions vol:11 pages:11945-11945 https://lirias.kuleuven.be/handle/123456789/475578 1812-2108 doi:10.5194/hessd-18-1-2014 1812-2116 https://lirias.kuleuven.be/bitstream/123456789/475578/4//Onyutha_and_Willems_2014_hessd-11-11945-2014.pdf 345443;public Rainfall Nile basin Climate variability Article IT 345443;Article 2014 ftunivleuven https://doi.org/10.5194/hessd-18-1-2014 2016-02-10T20:56:17Z Spatio-temporal variability in annual and seasonal rainfall totals were assessed at 37 locations of the Nile Basin in Africa using quantile perturbation method. To get insight into the spatial difference in rainfall statistics, the stations were grouped based on the pattern of the long-term mean 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 and surface temperature. Further investigations to support the obtained correlations were made using a total of 10 climate indices. It was possible to obtain 3 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 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 and Indian Ocean drivers. Correlations of annual rainfall of group A with Pacific Oceanrelated climate indices were inconclusive. With respect to the main wet seasons, the June to September rainfall of group B has strong connection to the influence from the Indian Ocean. For the March to May (October to 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
institution Open Polar
collection KU Leuven: Lirias
op_collection_id ftunivleuven
language English
topic Rainfall
Nile basin
Climate variability
spellingShingle Rainfall
Nile basin
Climate variability
Onyutha, Charles
Willems, Patrick
Spatial and temporal variability of rainfall in the Nile Basin
topic_facet Rainfall
Nile basin
Climate variability
description Spatio-temporal variability in annual and seasonal rainfall totals were assessed at 37 locations of the Nile Basin in Africa using quantile perturbation method. To get insight into the spatial difference in rainfall statistics, the stations were grouped based on the pattern of the long-term mean 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 and surface temperature. Further investigations to support the obtained correlations were made using a total of 10 climate indices. It was possible to obtain 3 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 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 and Indian Ocean drivers. Correlations of annual rainfall of group A with Pacific Oceanrelated climate indices were inconclusive. With respect to the main wet seasons, the June to September rainfall of group B has strong connection to the influence from the Indian Ocean. For the March to May (October to 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 2014
url https://lirias.kuleuven.be/handle/123456789/475578
https://doi.org/10.5194/hessd-18-1-2014
https://lirias.kuleuven.be/bitstream/123456789/475578/4//Onyutha_and_Willems_2014_hessd-11-11945-2014.pdf
geographic Indian
Pacific
geographic_facet Indian
Pacific
genre North Atlantic
genre_facet North Atlantic
op_relation Hydrology and Earth System Sciences & Discussions vol:11 pages:11945-11945
https://lirias.kuleuven.be/handle/123456789/475578
1812-2108
doi:10.5194/hessd-18-1-2014
1812-2116
https://lirias.kuleuven.be/bitstream/123456789/475578/4//Onyutha_and_Willems_2014_hessd-11-11945-2014.pdf
op_rights 345443;public
op_doi https://doi.org/10.5194/hessd-18-1-2014
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