On the seamless prediction of weather and climate
Timothy N. Palmer, ECMWF, Reading, United Kingdom
Seamless prediction techniques allow the insights and constraints of numerical weather prediction to be brought to bear on the climate change problem. Examples include: the use of 6hr weather forecasts to constrain climate sensitivity, seasonal-to-interannual forecasts to calibrate predictions of climate change, and the use of stochastic parametrization in ensembles of numerical weather prediction models, to represent forecast uncertainty in climate prediction. These examples will be discussed.
Joint Session 5, Advances in Modeling, From Local through Regional to Large Scale, and From Deterministic to Ensemble-Probabilistic Prediction Part I
Wednesday, 20 January 2010, 8:30 AM-10:00 AM, B215
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