| The Government of the Republic of Zambia with support from the United Nations Development Programme (UNDP) has developed the project “Strengthening Climate Resilience of Agricultural Livelihoods in Agro-Ecological Regions I and II in Zambia (SCRALA)”. The Green Climate Fund (GCF) approved the project in February 2018. The project supports the Government of Zambia to strengthen the resilience to climate change risks of vulnerable smallholder farmers in the country’s Agro-Ecological Regions I and II. One of the key aspects of this project is providing timely and accurate forecasts of seasonal rainfall. This will benefit the agricultural sector by improving the quality and accuracy of tailored agricultural advisories that the Zambia Meteorological Department (ZMD) has been producing and made available to the farmers. The main aim of this project is to strengthen and develop an enhanced seasonal rainfall forecasting system using Artificial Intelligence (Al) techniques. This is one of the deliverables of the SCRALA project in an effort to strengthen the capacity of ZMD to generate, analyse and model climate data in order to provide accurate forecasts for agricultural purposes with a good lead-time. In order to work towards the deliverable, the consultants will work towards designing, implementing and deploying AI-centric models for Automatic Forecasting of Seasonal Rainfall (AFSR). This will be carried out taking advantage of modern technology of computer science concepts that will improve seasonal rainfall forecast accuracy and skill. |
| —Funding— • Zambia Meteorological Department, Zambia |
| —Project Team— • Coming soon |
| —Publication— • Coming soon |
| —Software— • Coming soon |
| —Datasets— • Coming soon |