Journal article
Comparison of data-driven methods for downscaling ensemble weather forecasts
Abstract
Abstract. This study investigates dynamically different data-driven methods, specifically a statistical downscaling model (SDSM), a time lagged feedforward neural network (TLFN), and an evolutionary polynomial regression (EPR) technique for downscaling numerical weather ensemble forecasts generated by a medium range forecast (MRF) model. Given the coarse resolution (about 200-km grid spacing) of the MRF model, an optimal use of the weather …
Authors
Liu X; Coulibaly P; Evora N
Journal
Hydrology and Earth System Sciences, Vol. 12, No. 2, pp. 615–624
Publisher
Copernicus Publications
DOI
10.5194/hess-12-615-2008
ISSN
1027-5606