Browsing by Author "Ongoma, Victor"

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  • Publication
    Publication
    Seasonal rainfall forecasting using the Multi-Model Ensemble Technique over the Greater Horn of Africa
    (Academe Research Journals, 2014-07-14) Otieno, George; Opijah, Franklin; Ogalo, Laban; Ongoma, Victor; Sabiiti, Geoffrey
    The spatial distribution of rainfall anomalies of the observed models output during extreme events showed that the ensemble model was able to simulate El-Niño (1997) and La-Niña (2000) years. The ensemble models did not show good skill in capturing the magnitude of the extreme events. The skill of the ensemble model was higher than that for the member models in terms of its ability to capture the rainfall peaks during the El-Niño Southern Oscillation (ENSO) phenomena. The analysis for the correlation coefficients showed higher values for the ensemble model output than for the individual models over the Equatorial region with the stations in the northern and southern sectors of the GHA comparatively giving low skill. The ensemble modeling technique significantly improved the skill of forecasting, including the sectors where individual models had low skill. In general, the skill of the models was relatively higher during the onset of the ENSO event and became low towards the decaying phase of the ENSO period. Generally, the study has shown that the ensemble seasonal forecasting significantly adds skill to the forecasts especially for October-December (OND) rainy seasons. From the study, ensemble seasonal forecasting significantly adds skill to the forecasts over the region. Blending dynamical ensemble forecasts with statistical forecast currently being produced during Regional Climate Outlook Forums (RCOFs) would add value to seasonal forecasts. This significantly reduces the impacts and damages associated with climate extremes over the region.
  • Publication
    Publication
    Socio-Economic and Environmental Analysis of Wind Power Projects as Viable Renewable Energy Resources in Kenya
    (National Inquiry Services Centre, 2017-08-25) Ongoma, Victor
    The demand for power in Kenya is on the increase with the ongoing growth of the country’s economy. There is a need for the country to balance energy efficiency, sustainability and low-carbon technologies. This entails drafting and implementing policies and strategies towards a low-carbon development path, ranging from fuels, technologies and infrastructure. This work examines the drivers of renewable energy resources in Kenya, focusing on Ngong Wind Farm. Results show that most low-carbon innovations in Kenya are driven by government tariffs and policies. Funding, and political and community goodwill remarkably influence the success of wind power projects in Kenya. The case study is a novel experiment that offers sustainable alternatives in the energy sector. There is need for more investment in the renewable sector, especially in the set up of power plants and power storage. To address the shortcomings in the renewable energy sector, there is a need for further research and development, and collaborations to foster innovations in the wind power sector in country. A combination of knowledge and resources, and leveraging local and national policies are potential ways in which institutional platforms can foster wind technology advancement and dissemination.