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Training related to the Climate Predictability Tool (CPT), 25–27 April 2013

Seasonal climate and crop forecasts for agricultural risk management Picture1

The project “Seasonal climate forecasts for agricultural crop and risk management” was jointly developed by the International Center for Tropical Agriculture (CIAT) and the National Institute for Space Research (INPE), Brazil, under the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and Colombia´s Ministry of Agriculture and Rural Development (MADR). Within the project, we propose the development of a methodology that combines the seasonal climate forecasts of the regional climate Eta Model, maintained by INPE, with the Climate Predictability Tool (CPT), developed by the International Research Institute for Climate and Society (IRI), as a starting point to produce seasonal forecasts of crop productivity. The tool is hereby proposed and tested for operational use and for further use in climate variability studies.

One of the focal activities carried out under the project is the training course “Seasonal climate forecast, using the CPT: Statistical methods and forecast quality” to be held at CIAT headquarters in Cali, Colombia, 25–27 April. The participating institutions include: the International Potato Center (CIP); the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM), Colombia; MADR, INPE, and CIAT.

Anthony Barnston – International Research Institute for Climate and Society (IRI)

Anthony Barnston – International Research Institute for Climate and Society (IRI)

The Climate Predictability Tool (CPT) is a package that facilitates the construction of seasonal climate forecast models, investigations into model validation and producing forecasts given updated data. The CPT design has been tailored to produce seasonal climate forecasts using model output statistic corrections to climate predictions from general circulation models, or to produce forecasts using fields of sea-surface temperatures. Although the software is specifically tailored for these applications, it can also be used in more general settings to perform canonical correlation analysis or principal components regression on any data for any application.

 See the Workshop agenda: Climate Predictability Tool (CPT)

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One response to Training related to the Climate Predictability Tool (CPT), 25–27 April 2013

  • Dilip Koradiya says:

    we need for all information in gujarati , so i given to this information farmar, pl. it is my good reqwest .
    Thank you ,
    Dilip Koradiya

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