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Initially we are assessing agricultural impact through analysis of historical
yields and modeled yield potentials. However, our long range objectives include
developing and exercising a framework of models and toolkits to test various
mitigation strategies for integrating climate forecasts into managment
decisions. This framework includes forecast validation, exploring the use of
conditionally parameterized weather generators linked to climate forecast
products, linking climate forecasts to biophysical models, and building crop
management optimization toolkits and programs to explore optimal management
options under different ENSO conditions and optimization criteria.
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