Modellers will also be able to simulate results to the present time and not have to publish results that are a few months or years old. The future spinoff from this project will allow researchers to link their model, directly via telemetry, to up to the minute hydrological data. The Research Fund of the University of Natal and the Water Research Commission are thanked for their financial assistance in this project. Finally the Computing Centre for Water Research is acknowledged for the provision of computing facilities, rainfall data and for assistance with computing. Dent, M.C., Lynch, S.D. and Schulze, R.E. 1989.
Mapping mean annual and other rainfall statistics over southern Africa.
Water Research Commission, Pretoria. Dept Water Affairs and Forestry, 1995. Pretoria, South Africa. Landman, W.A. 1995. Predicting South African seasonal rainfall by means of Canonical Correlation Analysis.