Managing Climate and Weather-Related Risks to Improve Agricultural Decision Making

Lead PI: Dr. Walter E. Baethgen

Unit Affiliation: International Research Institute for Climate and Society (IRI)

April 2012 - April 2014
South America ; Brazil
Project Type: Research

DESCRIPTION: The project seeks to improve agricultural yield predictions in Brazil by 1) improving seasonal climate forecasts, and 2) improving sources of information and tools directly related to crop yields.

OUTCOMES: The team has worked on developing a range of Gaussian models to work on climate predictions. Dr. Ines has been put in contact with the Brasilia team too. Soil water balance and plant available water content have been used to calibrate crop simulation models combined with the climate models. A web-based tool is being developed to automate crop yield forecasts.


Inter-American Institute for Cooperation on Agriculture




Michael Tippett, Bradfield Lyon, Andrew Robertson, Lisa Goddard, Anthony Barnston, Catherine Vaughan, Amor Ines, M. Blumenthal, Michael Bell, John del Corral, Remi Cousin, Tufa Dinku


agriculture prediction climate forecasting decision making climate and society


Modeling and Adapting to Future Climate