Programme for the development of weather and climate numerical modelling systems in South Africa

Authors

  • Mary-Jane M. Bopape 1. South African Weather Service, Pretoria, South Africa 2. School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
  • Francois Engelbrecht 1. Global Change Institute, School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa 2. Natural Resources and the Environment, Council for Scientific and Industrial Research, Pretoria, South Africa
  • Babatunde Abiodun Climate System Analysis Group, University of Cape Town, Cape Town, South Africa
  • Asmerom Beraki 1. Natural Resources and the Environment, Council for Scientific and Industrial Research, Pretoria, South Africa 2. Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
  • Thando Ndarana Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
  • Lucky Ntsangwane South African Weather Service, Pretoria, South Africa
  • Happy Sithole Centre for High Performance Computing, Council for Scientific and Industrial Research, Cape Town, South Africa
  • Mthetho Sovara 1. Centre for High Performance Computing, Council for Scientific and Industrial Research, Cape Town, South Africa 2. Department of Oceanography, University of Cape Town, Cape Town, South Africa
  • Jongikhaya Witi Department of Environmental Affairs, Pretoria, South Africa

DOI:

https://doi.org/10.17159/sajs.2019/5779

Keywords:

weather forecasting, climate predictions, climate change, numerical weather prediction, climate modelling

Published

2019-05-29

Issue

Section

News and Views

How to Cite

Bopape, M.-J. M., Engelbrecht, F., Abiodun, B., Beraki, A., Ndarana, T., Ntsangwane, L., Sithole, H., Sovara, M., & Witi, J. (2019). Programme for the development of weather and climate numerical modelling systems in South Africa. South African Journal of Science, 115(5/6). https://doi.org/10.17159/sajs.2019/5779
Views
  • Abstract 1711
  • PDF 711
  • EPUB 216
  • XML 463

Most read articles by the same author(s)