Evaluation of surface wind using WRF in complex terrain: Atmospheric input data and grid spacing
Kine Solbakken, Yngve Birkelund, Eirik Mikal Samuelsen
Abstract
This study evaluates a numerical weather prediction model as a tool for wind resource assessment in complex\nterrain and how the simulations are affected by the selection of initial and boundary conditions and various grid\nresolutions. Two global reanalyses, ERA-Interim and ERA5, and four grid resolutions, 27 km, 9 km, 3 km and 1\nkm, have been considered. The simulations have been compared to hub-height wind measurements. The ERA5\nforced simulations were found to provide improved wind speed results. The simulations show clear improvements in terms of lower error when the grid spacing is reduced from 27 km via 9 km to 3 km. From 3 km to 1 km,\nthe error is not further reduced. However, the 1 km simulations tend to better reproduce the mean wind features\nand show defined areas with higher and lower wind speeds, providing useful information for wind resource\nmapping in complex terrain.