Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa
This study analyzed changes in CenTrends gridded precipitation (1961–2015) and Potential Evapotranspiration (PET; 1961–2008) across the Lake Kyoga Basin (LKB). PET was computed from gridded temperature of the Princeton Global Forcings. Correlation between precipitation or PET and climate indices was...
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ftmdpi:oai:mdpi.com:/2073-4441/12/4/1134/ 2023-08-20T04:08:26+02:00 Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa Charles Onyutha Grace Acayo Jacob Nyende agris 2020-04-16 application/pdf https://doi.org/10.3390/w12041134 EN eng Multidisciplinary Digital Publishing Institute Hydrology https://dx.doi.org/10.3390/w12041134 https://creativecommons.org/licenses/by/4.0/ Water; Volume 12; Issue 4; Pages: 1134 precipitation variability potential evapotranspiration climate indices trend analyses climate variability Lake Kyoga Basin Bududa landslides Hargreaves method Text 2020 ftmdpi https://doi.org/10.3390/w12041134 2023-07-31T23:22:46Z This study analyzed changes in CenTrends gridded precipitation (1961–2015) and Potential Evapotranspiration (PET; 1961–2008) across the Lake Kyoga Basin (LKB). PET was computed from gridded temperature of the Princeton Global Forcings. Correlation between precipitation or PET and climate indices was analyzed. PET in the Eastern LKB exhibited an increase (p > 0.05). March–April–May precipitation decreased (p > 0.05) in most parts of the LKB. However, September–October–November (SON) precipitation generally exhibited a positive trend. Rates of increase in the SON precipitation were higher in the Eastern part where Mt. Elgon is located than at other locations. Record shows that Bududa district at the foot of Mt. Elgon experienced a total of 8, 5, and 6 landslides over the periods 1818–1959, 1960–2009, and 2010–2019, respectively. It is highly probable that these landslides have recently become more frequent than in the past due to the increasing precipitation. The largest amounts of variance in annual precipitation (38.9%) and PET (41.2%) were found to be explained by the Indian Ocean Dipole. These were followed by precipitation (17.9%) and PET (21.9%) variance explained by the Atlantic multidecadal oscillation, and North Atlantic oscillation, respectively. These findings are vital for predictive adaptation to the impacts of climate variability on water resources. Text North Atlantic North Atlantic oscillation MDPI Open Access Publishing Indian Water 12 4 1134 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
precipitation variability potential evapotranspiration climate indices trend analyses climate variability Lake Kyoga Basin Bududa landslides Hargreaves method |
spellingShingle |
precipitation variability potential evapotranspiration climate indices trend analyses climate variability Lake Kyoga Basin Bududa landslides Hargreaves method Charles Onyutha Grace Acayo Jacob Nyende Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa |
topic_facet |
precipitation variability potential evapotranspiration climate indices trend analyses climate variability Lake Kyoga Basin Bududa landslides Hargreaves method |
description |
This study analyzed changes in CenTrends gridded precipitation (1961–2015) and Potential Evapotranspiration (PET; 1961–2008) across the Lake Kyoga Basin (LKB). PET was computed from gridded temperature of the Princeton Global Forcings. Correlation between precipitation or PET and climate indices was analyzed. PET in the Eastern LKB exhibited an increase (p > 0.05). March–April–May precipitation decreased (p > 0.05) in most parts of the LKB. However, September–October–November (SON) precipitation generally exhibited a positive trend. Rates of increase in the SON precipitation were higher in the Eastern part where Mt. Elgon is located than at other locations. Record shows that Bududa district at the foot of Mt. Elgon experienced a total of 8, 5, and 6 landslides over the periods 1818–1959, 1960–2009, and 2010–2019, respectively. It is highly probable that these landslides have recently become more frequent than in the past due to the increasing precipitation. The largest amounts of variance in annual precipitation (38.9%) and PET (41.2%) were found to be explained by the Indian Ocean Dipole. These were followed by precipitation (17.9%) and PET (21.9%) variance explained by the Atlantic multidecadal oscillation, and North Atlantic oscillation, respectively. These findings are vital for predictive adaptation to the impacts of climate variability on water resources. |
format |
Text |
author |
Charles Onyutha Grace Acayo Jacob Nyende |
author_facet |
Charles Onyutha Grace Acayo Jacob Nyende |
author_sort |
Charles Onyutha |
title |
Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa |
title_short |
Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa |
title_full |
Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa |
title_fullStr |
Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa |
title_full_unstemmed |
Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa |
title_sort |
analyses of precipitation and evapotranspiration changes across the lake kyoga basin in east africa |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/w12041134 |
op_coverage |
agris |
geographic |
Indian |
geographic_facet |
Indian |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
Water; Volume 12; Issue 4; Pages: 1134 |
op_relation |
Hydrology https://dx.doi.org/10.3390/w12041134 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/w12041134 |
container_title |
Water |
container_volume |
12 |
container_issue |
4 |
container_start_page |
1134 |
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1774720679588921344 |