This entry was written by Philip Thornton, CCAFS Theme Leader.
The MarkSim GCM stochastic weather generator tool has just been updated. It now includes data from two additional climate models that were part of the IPCC’s Fourth Assessment Report. Users can now choose from a total of six individual climate models, or they can select the average climatology of this ensemble of models, for generating daily data for future conditions. The climate models come from Australia, France, Germany, Japan, Norway and Russia.
One additional feature that has been added is that the tool can also be used to generate daily data that are characteristic of current conditions, based on the WorldClim dataset, an interpolated surface of weather station data from around the world mostly covering the years 1960-1990.
As before, the tool can generate multiple realisations of years of daily data: rainfall, maximum and minimum temperatures and solar radiation. Generated data files, which can be downloaded, are fully compatible with the DSSAT (Decision Support System for Agrotechnology Transfer) crop modelling system. The tool can be accessed here.
MarkSim GCM was developed by Waen Associates with CCAFS support, in cooperation with CIAT, ILRI, IFPRI, Potsdam Institute for Climate Impact Research, HarvestChoice, and the University of Oxford.
Read also: Weather Generating Tool Helps Agronomists Assess Climate Risk (CCAFS Blog)
CCAFS Coordinating Unit - University of Copenhagen, Faculty of Science, Department of Plant and Environmental Sciences, Rolighedsvej 21, DK-1958 Frederiksberg C, Denmark, phone +45 35331046; Email ccafs [at] cgiar [dot] org, EAN 5790000279012
Lead Center - International Center for Tropical Agriculture (CIAT)