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Meteorological services of Honduras, Guatemala, and Colombia provide more tailored climate services through the use of CCAFS science and tools.

Meteorological services in 3 countries (Colombia, Guatemala, Honduras) provide more tailored climate information to farmers and farmer organizations by adopting novel CCAFS approaches to data curation and seasonal forecasting including R-CPT, predictor domain selection, and RClimTool. A total of 20...

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Main Author: CGIAR Research Program on Climate Change, Agriculture and Food Security
Format: Case Study
Language:Inglés
Published: 2018
Subjects:
farmers
climate
selection
data
forecasting
honduras
organizations
services
information
agricultural sector
climate services
colombia
tools
integration
sciences
approaches
prediction
climate prediction
countries
case studies
agrifood systems
rural development
Online Access:https://hdl.handle.net/10568/121346
Summary:Meteorological services in 3 countries (Colombia, Guatemala, Honduras) provide more tailored climate information to farmers and farmer organizations by adopting novel CCAFS approaches to data curation and seasonal forecasting including R-CPT, predictor domain selection, and RClimTool. A total of 20 staff across the three Meteorological Services in question have been trained to use these new climate prediction and modeling tools. As a result of enhanced integration with the agricultural sector, Colombia pushes a National Framework for Climate Services (NFCS).

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