ID Panel: 208
Titulo: Climate and Society: bridging the gap between science and application II
Resumo: Climate models used in seasonal prediction exhibit high forecast skills in many regions of the world, some of them semi-arid regions with significant interannual variability. Improvements in the forecasts were recently attained combining multiple modeling strategies, from empirical-statistical methods to dynamical downscaling via regional climate models, which allowed the use of seasonal climate prediction data in a variety of applications in agriculture, water resources, health and energy. It is clear, however that there is still a very large gap separating the ability in predict climate on a seasonal scale and assessing the uncertainties in the forecasts and the incorporation of climate information by users and decision makers in their activities. This thematic stream aims in looking at the experiences of seasonal climate prediction and its uses in South America from different views (institutional arrangements, state-of-the-art techniques and future perspectives, applications in different economic sectors, value and diffusion of climate information).