Sub-seasonal to seasonal forecasting

The service of “Improvement of short, medium and long term (seasonal) forecasts and their dissemination” is to revisit the seasonal forecasting for crop monitoring process in order to improve the quality of climate information, to Increase the precision of crop monitoring based on state-of-the-art of earth observation techniques and to promote efficient and timely dissemination to end users. Accurate weather research and forecasting (WRF) models are key to weather-related disaster preparedness. These models can support flood predictions, frost forecasting, and more. The NASA Short-term Prediction Research and Transition (SPoRT) Centre, through SERVIR, has been working with regional forecasters to help enhance weather forecast accuracy in East Africa. For example, SPoRT/SERVIR helped the Kenya Meteorological Service incorporate NASA satellite-based data into their weather prediction model last year. KMS now incorporates the Land Information Systems (LIS) and Visible Infrared Imager Radiometer Suite (VIIRS) Green Vegetation Fraction (GVF) datasets into their WRF Unified Environmental Modelling System (UEMS).