Expanding capacity for translating seasonal climate forecasts into actionable information for agriculture and water sectors in West Africa: Lessons learnt and way forward
AGRHYMET has recently proposed a novel approach for translating seasonal climate forecasts into actionable information for adaptation planning for agriculture and water sectors using sectoral biophysical and process-based models. The aim is to finetune and generate forecast-based recommendations for these two sectors to better support effective adaptation planning and reduce risks associated with biases and subjective recommendations.