Marín, JulioJulioMarínMailiu DíazOrietta NicolisSándor Baran2025-08-252025-08-252021-01-0110.33039/ami.2021.03.0122-s2.0-85107427789https://cris-uv-2.scimago.es/handle/123456789/4185WOS:000654007400006In this paper we propose some parametric and non-parametric post-pro-
\ncessing methods for calibrating wind speed forecasts of nine Weather Research
\nand Forecasting (WRF) models for locations around the cities of Valparaíso
\nand Santiago de Chile (Chile). The WRF outputs are generated with different
\nplanetary boundary layers and land-surface model parametrizations and they
\nare calibrated using observations from 37 monitoring stations. Statistical calibration
\nis performed with the help of ensemble model output statistics and
\nquantile regression forest (QRF) methods both with regional and semi-local
\napproaches. The best performance is obtained by the QRF using a semilocal
\napproach and considering some specific weather variables from WRF
\nsimulations.enacceso abiertoComputer ScienceMathematicsarticle