Climate variability and its impacts on the agriculture system are evident in Ghana. Weather and seasonal climate forecast information service has been in operation for some time in the country. However, findings from initial work in the Pra River Basin show that only about 30% of farmers have access to weather forecasts, which most of the time fail. Therefore, the information is not useful for farm-level decision-making. This has led to the reliance of the majority of farmers on their Indigenous ecological knowledge to predict weather and seasonal climate patterns for farm-level decision-making for water resource management and food production. The experienced changes in rainfall onset and cessation over the years have made climate services critical to food security in the Pra River Basin. The aim of this project was to improve climate information services through the co-production of farmers and scientific forecast systems. A multi-method research approach was adopted, consisting of social participatory methods, mental modelling methods, forecast verification methods, and the principle of citizen science for data gathering and analysis.
