Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/3465
Title: Dominant atmospheric circulation patterns associatedwith abnormal rainfall events over Rwanda, East Africa
Authors: Ngarukiyimana, Jean P.
Fu, Yunfei
Yang, Yuanjian
Ogwang, Bob A.
Ongoma, Victor
Ntwali, Didier
Keywords: abnormal rainfall
wet
dry
abnormal circulation
Rwanda
Issue Date: May-2017
Publisher: Wiley Online Library
Citation: International Journal of Climatology
Abstract: The study investigated the dominant atmospheric circulation patterns associated with abnormal rainfall overRwanda during the March–May (MAM) rainfall season in 1981–2010. The data sets used in this study include: rainfall,wind, sea surface temperature (SST), and humidity. Correlation and composite analysis and Percent of Normal Index (PNI)were deployed in this study. In the wet years (1987, 1988, and 1998), the country was dominated by moisture convergence,which is in line with wind anomalies that exhibits strong westerly winds from the Atlantic Ocean and southeasterly windsoriginated from the Indian Ocean. These winds carry moist air mass passing over Congo to the study area, leading to wetevents. On the other hand, easterly winds were noted over the study area during the dry years (1984, 2000, 2007, and 2008).The observed wet years coincided with the El Niño events, while the dry years are noted during the La Niña episodes. Thedry years exhibited a wide spread of moisture divergence anomaly at the low level and were characterized by the sinkingmotion as opposed to the wet years with the rising motion. The anomalies of velocity potential/divergence further showed thatthe wet (dry) years were characterized by convergence (divergence) at the low level. The results also show that there existsa low positive correlation between mean MAM rainfall and SST over the Indian Ocean, which shows minimum inuenceof the Ocean. On the other hand, it was noted that rainfall amounts is signicantly correlated at 95% condence level withthe elevation (altitude) of a given station. This study improves the understanding of the occurrence of wet and dry events inRwanda, which is helpful in future monitoring of these events.
Description: DOI: 10.1002/joc.5169
URI: http://onlinelibrary.wiley.com/doi/10.1002/joc.5169/epdf
http://repository.seku.ac.ke/handle/123456789/3465
ISSN: 0899-8418
1097-0088
Appears in Collections:School of Agriculture, Environment, Water and Natural Resources Management (JA)



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