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...

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Main Author: CGIAR Research Program on Climate Change, Agriculture and Food Security
Format: Informe técnico
Language:Inglés
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/10568/123050
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author CGIAR Research Program on Climate Change, Agriculture and Food Security
author_browse CGIAR Research Program on Climate Change, Agriculture and Food Security
author_facet CGIAR Research Program on Climate Change, Agriculture and Food Security
author_sort CGIAR Research Program on Climate Change, Agriculture and Food Security
collection Repository of Agricultural Research Outputs (CGSpace)
description 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.
format Informe técnico
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institution CGIAR Consortium
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spelling CGSpace1230502023-03-14T11:58:42Z 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 rice maize models soil development rural development land land cover systems agrifood systems implementation model 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. 2017-12-31 2022-10-06T14:18:51Z 2022-10-06T14:18:51Z Report https://hdl.handle.net/10568/123050 en Open Access application/pdf 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.
spellingShingle rice
maize
models
soil
development
rural development
land
land cover
systems
agrifood systems
implementation
model
CGIAR Research Program on Climate Change, Agriculture and Food Security
Dynamical forecast model skill in the Colombian agricultural context, joint work between Fedearroz, IDEAM, CIAT-CCAFS and University of Leeds
title Dynamical forecast model skill in the Colombian agricultural context, joint work between Fedearroz, IDEAM, CIAT-CCAFS and University of Leeds
title_full Dynamical forecast model skill in the Colombian agricultural context, joint work between Fedearroz, IDEAM, CIAT-CCAFS and University of Leeds
title_fullStr Dynamical forecast model skill in the Colombian agricultural context, joint work between Fedearroz, IDEAM, CIAT-CCAFS and University of Leeds
title_full_unstemmed Dynamical forecast model skill in the Colombian agricultural context, joint work between Fedearroz, IDEAM, CIAT-CCAFS and University of Leeds
title_short Dynamical forecast model skill in the Colombian agricultural context, joint work between Fedearroz, IDEAM, CIAT-CCAFS and University of Leeds
title_sort dynamical forecast model skill in the colombian agricultural context joint work between fedearroz ideam ciat ccafs and university of leeds
topic rice
maize
models
soil
development
rural development
land
land cover
systems
agrifood systems
implementation
model
url https://hdl.handle.net/10568/123050
work_keys_str_mv AT cgiarresearchprogramonclimatechangeagricultureandfoodsecurity dynamicalforecastmodelskillinthecolombianagriculturalcontextjointworkbetweenfedearrozideamciatccafsanduniversityofleeds