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

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.

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Bibliographic Details
Main Author: CGIAR Research Program on Climate Change, Agriculture and Food Security
Format: Report biblioteca
Language:English
Published: 2017-12-31
Subjects:rice, maize, models, soil, development, rural development, land, land cover, systems, agrifood systems, implementation, model,
Online Access:https://hdl.handle.net/10568/123050
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Summary: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.