Adaptive correction of deterministic models to produce probabilistic forecasts

Water column chlorophyll a values at the lower (L), middle (M) and upper (U) estuarine stations, during the ebb and flood surveys, from December 2002 to December 2003.... Patterns

of the EFAS, lagged forecasts are used to reduce this sort of error, and this temporal consistency, or persistency, of forecasts is then built into the decision making

Model performance analysis was used to validate the model and test whether the model would be accurate enough for real-time online forecasts of the 1-day-ahead electron flux at

In RFFA, two types of regional models are often considered to predict flood quantiles corresponding to given return pe- riods: the index-flood model and the regression-based

The probability distribution of precipitation events is examined for AWAP, the stations and the two model out- puts to assess the performance of the bias correction at daily

ensemble, pdf, model average, m approx. Meteorological ensembles from different sources used for an ensemble-based operational flood risk management strategy. The number of

forecasts produced by different regression methods as a function of time, generated using the Lorenz model with large model error ( δr = 10 − 2 ) and averaged over 5× 10 5 ensembles

Given these inputs, the activity of the postsynaptic LGN neuron was generated using two different models (Materials and Methods): in a biologically-realistic model we simulated