Statistical–dynamical downscaling of wind fields using self-organizing maps

In this work a temporally and spatially consistent method for the efficient long-term assessment of the wind resource is presented. It contributes to the field of statistical–dynamical downscaling of the wind resource by combining stratified sampling of long-term mean Sea Level Pressure (SLP) fields with a neural-network method called self-organizing maps (SOM). The objective of the method is to construct a synthetic year which can be considered...