A method for statistical downscaling of seasonal ensemble predictions

141 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

An improved statistical analogue downscaling procedure for seasonal precipitation forecast (2013, background): “It is well known that GCM precipitation output cannot be used to force hydrological or other impact models without some form of downscaling that includes bias correction if realistic output is sought (Sharma et al. 2007; Hansen et al. 2006; Feddersen and Andersen 2005).”
Probabilistic forecasting from ensemble prediction systems: Improving upon the best‐member method by using a different weight and dressing kernel for each member (2006, background): “While underdispersion is a common feature of an EPS, overdispersion is also observed for some variables (Feddersen and Andersen 2005).”
Statistical bias correction for daily precipitation in regional climate models over Europe (2010, background): “It is well known that general circulation model (GCM) precipitation output cannot be used to force hydrological or other impact models without some form of prior bias correction if realistic output is sought (Sharma et al. 2007; Hansen et al. 2006; Feddersen and Andersen 2005).”
The rationale behind the success of multi-model ensembles in seasonal forecasting — II. Calibration and combination (2005, methodology): “Model adjustment has also been used to perform a downscaling of seasonal predictions (Feddersen, 2003; Feddersen and Andersen, 2005).”