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Weather and Climate Numerical Models Development Programme in South Africa

Bopape, M.-J. M., Engelbrecht, F., Abiodun, B., Beraki, A., McGregor, J., Ndarana, T., Ntsangwane, L., Plant, B. ORCID:, Randall, D., Rautenbach, H., Sithole, H., Sovara, M. and Witi, J. (2018) Weather and Climate Numerical Models Development Programme in South Africa. In: 34th Annual Conference of the South African Society for Atmospheric Sciences, 20-21 SEPT 2018, University of KwaZulu-Natal, South Africa, pp. 1-4.

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In this document we propose that institutions embarking on model development activities work together and support each other, as well as new entrants to accelerate model development activities in the country and increase the critical mass with an advanced understanding of models faster. The ultimate purpose of this initiative is that South Africa becomes an independent user of models, and develops one or more home-grown models that can be used for operational and research purposes. Each participating institution can make contributions on any model of interest, and these contributions can include work with consortia on international models. The development of a critical mass of researchers that can develop models will require investment in human resource capital development. This programme will enhance collaboration between organisations with modelling capabilities towards jointly informing policy developments and implementation of frameworks in the country. Close collaboration between the South African Weather Service (SAWS) which is a mandated meteorological service organisation, and other research organisations will ensure that all modelling research taking place nationally, that can improve weather and climate early warning systems, is incorporated into the SAWS operations, for the benefit of the society and public in general. Moreover, the Council for Scientific and Industrial Research (CSIR) Earth System Model development programme and related generation of climate change projections for Africa will be furthered by this enhanced collaboration.

Item Type:Conference or Workshop Item (Paper)
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:103820

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