Díaz, Mailiu and Nicolis, Orietta and Marín, Julio César and Baran, Sándor (2021) Post-processing methods for calibrating the wind speed forecasts in central regions of Chile. Annales Mathematicae et Informaticae, 53. pp. 93-108. ISSN 1787-6117
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Abstract
In this paper we propose some parametric and non-parametric post-pro- cessing methods for calibrating wind speed forecasts of nine Weather Research and Forecasting (WRF) models for locations around the cities of Valparaíso and Santiago de Chile (Chile). The WRF outputs are generated with different planetary boundary layers and land-surface model parametrizations and they are calibrated using observations from 37 monitoring stations. Statistical calibration is performed with the help of ensemble model output statistics and quantile regression forest (QRF) methods both with regional and semi-local approaches. The best performance is obtained by the QRF using a semilocal approach and considering some specific weather variables from WRF simulations.
| Item Type: | Article |
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| Uncontrolled Keywords: | Ensemble model output statistics, ensemble calibration, quantile regression forest, statistical post-processing, wind speed |
| Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Depositing User: | Tibor Gál |
| Date Deposited: | 25 May 2021 08:58 |
| Last Modified: | 03 Apr 2023 07:15 |
| URI: | http://real.mtak.hu/id/eprint/125737 |
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