Written with Paulo Nobre
Both authors are with the Center for Earth System Science, INPE, Brazil
At present, there are a number of early warning systems based on seasonal-to-interannual climate forecasts in several countries (for example, Ogalo et al., 2008). These systems are based on the use of available monitoring data and state-of-the art climate models. Both observations and model-based predictions are analyzed by climatologists to predict climate anomalies one or two seasons ahead.
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Much of the success of such short-term climate predictions is based on the ability of current climate models to predict the evolution of the coupled tropical upper ocean-atmosphere state over seasons. The best example of this is the prediction of El Niño-Southern Oscillation (ENSO) episodes.
Such climate predictions have been used in an array of applications, ranging from seasonal rainfall predictions guiding agriculture, fisheries, and water resources to natural hazards and health applications (Meza and Osgood, 2008; Abawi et al., 2008; Connor et al., 2008).