Dynamical forecast model skill in the Colombian agricultural context, joint work between Fedearroz, IDEAM, CIAT-CCAFS and University of Leeds

CGIAR Research Program on Climate Change, Agriculture and Food Security. 2017. Dynamical forecast model skill in the Colombian agricultural context, joint work between Fedearroz, IDEAM, CIAT-CCAFS and University of Leeds. Reported in Climate Change, Agriculture and Food Security Annual Report 2017. Innovations.

WRF-model implementation required adjustment of the soil layer, and of land cover, using the IGAC dataset. Scripts have been developed, as a generation of the necessary files for using into the rice model. Depending on the FEDEARROZ experience, model results will also be used for maize agro-climatic forecasts by FENALCE.