… The demonstrated importance of statistical models in operation capacities is a major …
seasonal forecasting. Although RCMs are preferable due to physical consistency, statistical models …

… for downscaling seasonal ensemble predictions. The main motivation for this work has
been to enable existing crop yield models to take advantage of seasonal climate predictions. …

… (long-term historical periods, seasonal prediction, and future … The statistical model is applied
to reconstruct wave climate in … calibrated separately for each season, in our approach, the …

… methodology applied in this study and the validation of the statistical model are … seasonal
forecasting system is used in this study to evaluate wave climate predictability at the seasonal …

… In this manuscript we describe an analog statistical downscaling … forecasting at station
scale. Specifically, the KNN algorithm is used to downscale the NCEP CFS global seasonal …

… the CPT for statistical downscaling of seasonal climate predictions and for climate change
… this evolution from purely statistical models to downscaling of fully coupled model forecasts. …

… , which are previously predicted with a coupled dynamical or a statistical model. A tier-… to
downscaling, local-scale seasonal predictions usually have explored the empirical or statistical …

… performance of raw and downscaled seasonal climate data to forecast extreme indicators
such … statistical models were fed with the corresponding predictors from the EC-EARTH model (…

… This section will review techniques that include multimodel ensemble prediction, downscaling
and hydrologic post-processing, and forecast practices such as seasonal forecasting of …

… a seasonal climate forecast done with the International Research Institute for Climate Prediction
(IRI) dynamical forecast … This study presents an evaluation of a seasonal climate forecast …