Hybrid Numerical Models for Wind Speed Forecasting

0542824 - ÚI 2022 RIV GB eng J - Článek v odborném periodiku
Brabec, Marek - Craciun, A. - Dumitrescu, A.
Hybrid Numerical Models for Wind Speed Forecasting.
Journal of Atmospheric and Solar-Terrestrial Physics. Roč. 220, September 2021 (2021), č. článku 105669. ISSN 1364-6826. E-ISSN 1879-1824
Institucionální podpora: RVO:67985807
Klíčová slova: Wind speed * Generalized additive models * Numerical weather prediction * Hybrid modeling
Obor OECD: Statistics and probability
Impakt faktor: 2.119, rok: 2021
Způsob publikování: Omezený přístup
http://dx.doi.org/10.1016/j.jastp.2021.105669

Wind speed is involved in multiple scales physical phenomena and depends on specific features, that are not always easy to simulate numerically. Alternative solution that combines the physical advantages provided by numerical weather prediction (NWP) simulations and statistical models is investigated for wind speed forecast. Several aspects that influence the wind speed forecast error at synoptic stations in Romania were identified, such as discrepancy between model and true topography, urbanicity or distance to the Black Sea. Calibration models in the framework of Generalized Additive Models (GAM) are developed for the proposed endeavour. A set of models applied to limited area model ALARO were introduced and evaluated. Results showed improved statistical scores compared to raw ALARO output and simple regression model: a decrease of up to 23% for the RMSE score, or 94% for the bias was observed for the model which performed best in terms of annual bias and RMSE. Different impact of terms involved in the calibration model is found. Most important effects in the model are associated with wind speed observations from the 24 past hours and simulated wind speed effect in relation to altitude.
Trvalý link: http://hdl.handle.net/11104/0320157