The research developed a strategic predictor capable of advanced prediction of rainfall parameters by a lead time of two to three months, a marked improvement over previous forecasting.
Process-based models were constructed for computing the risk of malaria epidemic using temperature and rainfall data. The model has a lead-time of two to four months between detection of the epidemic signal and evolution of the epidemic.
The countries of the Greater Horn of Africa are particularly vulnerable to drought, exacerbated by widespread poverty and dependence on rainfed agriculture. Even with normal rainfall, the region does not produce enough food to meet its needs.
This project seeks to improve incentives and opportunities for households in southern Zambia and southwestern Zimbabwe to cope with climate change.
Climate change constitutes a real threat to the livelihood and well-being of the Ghanaian population. Deterioration of the rural environment contributes noticeably to the influx of migrants that arrive in the cities every day.
This project proposes to carry out climate change adaptation pilot projects in communities in eight African countries, six of which are least developed countries.
Poor understanding of policy processes tends to reduce the value of research results and the ability of researchers to influence policy.
This project seeks to reduce the vulnerability of poor populations in sub-Saharan Africa to climate change by mobilizing scientists and all the other actors concerned to inform political decision-making.
Limited adaptive capacity is often cited as a major factor in vulnerability to climate change. IDRC's Climate Change Adaptation in Africa (CCAA) aims to enable African societies to cope with climate change.
The Western Cape is South Africa's most valuable agricultural area and makes a substantial contribution to the country's balance of payments.