Contributions of Atlantic ocean to June - August rainfall over Uganda and Western Kenya

This study investigates the contributions of Atlantic Ocean to June-August rainfall over Uganda and western Kenya (KU). The study utilized the following datasets: precipitation from the Global Precipitation Climatology Centre, North Atlantic Oscillation Index (NAOI), South Atlantic Ocean Dipole Inde...

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Main Authors: Gitau, Wilson, Ongoma, Victor, Ogwang, Bob A
Format: Other/Unknown Material
Language:English
Published: University of Nairobi 2015
Subjects:
Online Access:http://hdl.handle.net/11295/85595
https://jesphys.ut.ac.ir/article_53833_0.html
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spelling ftunivnairobi:oai:http://erepository.uonbi.ac.ke:11295/85595 2023-05-15T17:34:21+02:00 Contributions of Atlantic ocean to June - August rainfall over Uganda and Western Kenya Gitau, Wilson Ongoma, Victor Ogwang, Bob A 2015 http://hdl.handle.net/11295/85595 https://jesphys.ut.ac.ir/article_53833_0.html en eng University of Nairobi Ogwang, B. A., Ongoma, V., & Gitau, W. (2015). Contributions of Atlantic Ocean to June-August Rainfall over Uganda and Western Kenya. فیزیک زمین و فضا.‎ https://jesphys.ut.ac.ir/article_53833_0.html http://hdl.handle.net/11295/85595 en 2015 ftunivnairobi 2022-12-28T09:27:59Z This study investigates the contributions of Atlantic Ocean to June-August rainfall over Uganda and western Kenya (KU). The study utilized the following datasets: precipitation from the Global Precipitation Climatology Centre, North Atlantic Oscillation Index (NAOI), South Atlantic Ocean Dipole Index (SAODI), ERA-interim reanalysis, and the Atlantic Ocean sea surface temperature (SST). Singular value decomposition (SVD), composite analysis and correlation analysis methods are used to achieve the objective of the study. Results show that significant coupled modes of variability exist; the first mode explaining 32% whereas the second mode explains 16% of the total covariance. The first SVD mode captures the positive phase of the South Atlantic Ocean Dipole (SAOD). This is associated with positive anomaly of rainfall in most parts of KU, whereas the second SVD mode captures the negative phase of SAOD. NAOI exhibits a significant positive correlation of coefficient ≥ 0.3 with the mean JJA rainfall anomaly over most parts of KU at 95% confidence level. The correlation between the mean JJA rainfall over most parts of KU and NAOI is higher compared to that with SAODI. The dominant moisture sources in the region during JJA season are Atlantic Ocean and Congo rainforest. The findings from this study provide insight into the influence of Atlantic Ocean on the mean JJA rainfall over KU. More research is required on the utilization of NAOI and SAODI as predictors of the JJA seasonal rainfall over the study area Other/Unknown Material North Atlantic North Atlantic oscillation South Atlantic Ocean University of Nairobi Digital Repository
institution Open Polar
collection University of Nairobi Digital Repository
op_collection_id ftunivnairobi
language English
description This study investigates the contributions of Atlantic Ocean to June-August rainfall over Uganda and western Kenya (KU). The study utilized the following datasets: precipitation from the Global Precipitation Climatology Centre, North Atlantic Oscillation Index (NAOI), South Atlantic Ocean Dipole Index (SAODI), ERA-interim reanalysis, and the Atlantic Ocean sea surface temperature (SST). Singular value decomposition (SVD), composite analysis and correlation analysis methods are used to achieve the objective of the study. Results show that significant coupled modes of variability exist; the first mode explaining 32% whereas the second mode explains 16% of the total covariance. The first SVD mode captures the positive phase of the South Atlantic Ocean Dipole (SAOD). This is associated with positive anomaly of rainfall in most parts of KU, whereas the second SVD mode captures the negative phase of SAOD. NAOI exhibits a significant positive correlation of coefficient ≥ 0.3 with the mean JJA rainfall anomaly over most parts of KU at 95% confidence level. The correlation between the mean JJA rainfall over most parts of KU and NAOI is higher compared to that with SAODI. The dominant moisture sources in the region during JJA season are Atlantic Ocean and Congo rainforest. The findings from this study provide insight into the influence of Atlantic Ocean on the mean JJA rainfall over KU. More research is required on the utilization of NAOI and SAODI as predictors of the JJA seasonal rainfall over the study area
format Other/Unknown Material
author Gitau, Wilson
Ongoma, Victor
Ogwang, Bob A
spellingShingle Gitau, Wilson
Ongoma, Victor
Ogwang, Bob A
Contributions of Atlantic ocean to June - August rainfall over Uganda and Western Kenya
author_facet Gitau, Wilson
Ongoma, Victor
Ogwang, Bob A
author_sort Gitau, Wilson
title Contributions of Atlantic ocean to June - August rainfall over Uganda and Western Kenya
title_short Contributions of Atlantic ocean to June - August rainfall over Uganda and Western Kenya
title_full Contributions of Atlantic ocean to June - August rainfall over Uganda and Western Kenya
title_fullStr Contributions of Atlantic ocean to June - August rainfall over Uganda and Western Kenya
title_full_unstemmed Contributions of Atlantic ocean to June - August rainfall over Uganda and Western Kenya
title_sort contributions of atlantic ocean to june - august rainfall over uganda and western kenya
publisher University of Nairobi
publishDate 2015
url http://hdl.handle.net/11295/85595
https://jesphys.ut.ac.ir/article_53833_0.html
genre North Atlantic
North Atlantic oscillation
South Atlantic Ocean
genre_facet North Atlantic
North Atlantic oscillation
South Atlantic Ocean
op_relation Ogwang, B. A., Ongoma, V., & Gitau, W. (2015). Contributions of Atlantic Ocean to June-August Rainfall over Uganda and Western Kenya. فیزیک زمین و فضا.‎
https://jesphys.ut.ac.ir/article_53833_0.html
http://hdl.handle.net/11295/85595
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