FAO AquaCrop in TWIGA

Crop simulation models are widely used by scientists, policy-makers, and practitioners to understand the response of crop yield to variables including soil fertility, water availability, and atmospheric composition. Among crop simulation models a common drawback is the need for highly detailed input data and parameter values, which are rarely available in data-scarce regions such as […]


Objective 4 of the TWIGA project aims to Improve predictability and assessment of African rainfall by mapping perceptible water vapour and tracking convective storm systems. The main reason behind the poor prediction skills of present rainfall forecasts in Africa is the lack of knowledge of precipitable water vapour (PWV) in the atmosphere. If one does […]