More on AfricanNESS ThemesRainfall Theme
Ferdinand Delali Mawunya
START Grants for GEC Research in Africa, 2007
University of Ghana, Ghana
Title: Enso-Based Rainfall Prediction and Crop Production in Southern Ghana
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University of Ghana, Ghana
Title: Enso-Based Rainfall Prediction and Crop Production in Southern Ghana
Since 1995, annual rainfall totals have generally declined for many sites in Ghana. Concurrently, extreme weather events, especially droughts, have been increasing. In an agricultural economy where irrigation is used only for lowland rice production, it would be useful to have an improved prediction for the coming cropping season’s rainfall pattern. If [...]
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Yolande Munzimi
START Grants for GEC Research in Africa, 2007
University of Kinshasa, Agronomy Department,
Title: Satellite-derived Rainfall Estimates (TRMM products) used for Hydrological Predictions of the Congo River flow: Overview and Preliminary Results
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University of Kinshasa, Agronomy Department,
Title: Satellite-derived Rainfall Estimates (TRMM products) used for Hydrological Predictions of the Congo River flow: Overview and Preliminary Results
According to the IPPC AR4 Report of 2007, the African continent is one of the most vulnerable to climate change. Regrettably, climate change will aggravate the stresses palced on water supply that are already experienced in some regions., The Congo River is considered to be a potential asset for supplying water in the arid and [...]
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Asfawossen Astrat
START Grants for GEC Research in Africa, 2006
Department of Earth Sciences, Addis Ababa University, Ethiopia
Title: High Resolution, Multi-proxy Study of Speleothems and Formation Drip Waters from Mechara Caves, Southeastern Ethiopia: A Tool for Predicting Drought Frequency and Long-term Climate Variability
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Department of Earth Sciences, Addis Ababa University, Ethiopia
Title: High Resolution, Multi-proxy Study of Speleothems and Formation Drip Waters from Mechara Caves, Southeastern Ethiopia: A Tool for Predicting Drought Frequency and Long-term Climate Variability
This study uses data taken from formations known as speleothems (cave precipitates) to produce a high resolution climate record. Speleothems are known to provide high-resolution climate records and the study of calcareous speleothems as archives of climate change is a major area of paleoclimate research., which helps to predict future regional climate changes, and provides [...]
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Mohamed S. Mhita
START Grants for GEC Research in Africa, 2006
Tanzania Meteorological Agency, Tanzania
Title: Proposed workshop to address issues relating to the Prediction and Predictability of East and Southern Africa Climate, February 2006, in Tanzania
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Tanzania Meteorological Agency, Tanzania
Title: Proposed workshop to address issues relating to the Prediction and Predictability of East and Southern Africa Climate, February 2006, in Tanzania
The VACS Southern and Eastern African Climate Predictability Workshop was held in Dar-es-Salaam Tanzania on 10th-13th of July, 2006. The workshop was entitled “Predictability and Prediction of southern and eastern African climate variability and impacts of the neighboring oceans”.
The target audience of the Workshop was senior operational staff responsible for long range forecasting at national [...]
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Nnadozie Okonkwo Nnoli
START Grants for GEC Research in Africa, 2005
Nigerian Meteorological Agency-NIMET, Nigeria
Title: Pilot Project to Strengthen the Nigerian Meteorological Agencies Capacity to Provide Reliable Rainfall Prediction for Use in Making Adaptive Agricultural Decisions
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Nigerian Meteorological Agency-NIMET, Nigeria
Title: Pilot Project to Strengthen the Nigerian Meteorological Agencies Capacity to Provide Reliable Rainfall Prediction for Use in Making Adaptive Agricultural Decisions
The Nigerian Meteorological Agency (NIMET) is the premier agency in Nigeria for providing meteorological and agro-climatological services to various sectors of Nigerian economy, especially for agriculture, which is one of the key sectors of Nigerian economy. Since 1999, NIMET has used an empirical-statistical physical model developed by Omotosho et al (2000) for the prediction of [...]
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