We evaluate the influence of elevation and distance from large-scale open water bodies on bias for CMORPH satellite rainfall in the Zambezi basin. Effects of distance > 10 km from water bodies are minimal, whereas the effects at shorter distances are indicated but are not conclusive for lack of rain gauges. Taylor diagrams show station elevation influencing CMORPH performance. The spatio-temporal and newly developed elevation zone bias schemes proved more effective in removing CMORPH bias.

This study was done in order to promote the use of remote sensing products when dealing water resources in the Congo river basin. It is the first step of a large research on the evaluation of the performance of remote sensing products on water resources modeling in the Congo river basin.

This paper is about evaluation of sub daily satellite rainfall estimates through flash flood modelling. The 30 minute timestep for CMORPH captures flash floods effectively and for TRMM the 3 hr timestep was the best. In general CMORPH performed better than TRMM in termsof NSE and RVE when applied to HEC-HMS model. It can be concluded that floods occur rapidly and the chances of capturing them are higher when finer resolution are applied.

This study determines the actual causes of water shortage at Mushandike Irrigation Scheme in Zimbabwe. The water stress at the scheme has been largely attributed to climate change and the uncontrolled expansion of the land under irrigation. Results show that water shortages at the scheme are a result of over-abstraction from the dam beyond the firm yield, adoption of inefficient irrigation methods and high channel losses in the canal system and are not related to hydro-climatic conditions.