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

cg.contributor.crpClimate Change, Agriculture and Food Security
cg.coverage.countryColombia
cg.coverage.iso3166-alpha2CO
cg.coverage.regionSouth America
cg.numberIN-13en
dc.contributor.authorCGIAR Research Program on Climate Change, Agriculture and Food Securityen
dc.date.accessioned2022-10-06T14:18:51Zen
dc.date.available2022-10-06T14:18:51Zen
dc.identifier.urihttps://hdl.handle.net/10568/123050
dc.titleDynamical forecast model skill in the Colombian agricultural context, joint work between Fedearroz, IDEAM, CIAT-CCAFS and University of Leedsen
dcterms.abstractWRF-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.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationCGIAR 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.en
dcterms.isPartOfCRP Innovationen
dcterms.issued2017-12-31
dcterms.languageen
dcterms.licenseOther
dcterms.subjectriceen
dcterms.subjectmaizeen
dcterms.subjectmodelsen
dcterms.subjectsoilen
dcterms.subjectdevelopmenten
dcterms.subjectrural developmenten
dcterms.subjectlanden
dcterms.subjectland coveren
dcterms.subjectsystemsen
dcterms.subjectagrifood systemsen
dcterms.subjectimplementationen
dcterms.subjectmodelen
dcterms.typeReport

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