Local wind speed forecasting based on WRF-HDWind coupling
Autor: | L. Ferragut-Canals, O.F. Carrasco-Díaz, Diego González-Aguilera, J.M. Cascón, P. Laiz-Alonso, L. Frías-Paredes, D. Prieto-Herráez, S. Lagüela-López, E. Hernández, I. Martín-Nieto, P.M. Fernandes-Correia, C. Sáez-Blázquez, M.I. Asensio-Sevilla, M. Gastón-Romeo |
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Rok vydání: | 2021 |
Předmět: |
Atmospheric Science
5506.06 Historia de la Economía 010504 meteorology & atmospheric sciences Meteorology 12 Matemáticas WRF Local wind adjustment Mesoscale meteorology Terrain Dynamical downscaling 010501 environmental sciences 01 natural sciences Wind speed Wind speed forecasting 2511.07 Ingeniería de Suelos Weather Research and Forecasting Model HDWind Environmental science Stage (hydrology) Tower Microscale chemistry 0105 earth and related environmental sciences Downscaling |
Zdroj: | GREDOS. Repositorio Institucional de la Universidad de Salamanca instname |
ISSN: | 0169-8095 |
Popis: | [EN] Wind speed forecasts obtained by Numerical Weather Prediction models are limited for fine interpretation in heterogeneous terrain, in which different roughnesses and orographies occur. This limitation is derived from the use of low-resolution and grid-box averaged data. In this paper a dynamical downscaling method is presented to increase the local accuracy of wind speed forecasts. The proposed method divides the wind speed forecasting into two steps. In the first one, the mesoscale model WRF (Weather Research and Forecasting) is used for getting wind speed forecasts at specific points of the study domain. On a second stage, these values are used for feeding the HDWind microscale model. HDWind is a local model that provides both a high-resolution wind field that covers the entire study domain and values of wind speed and direction at very located points. As an example of use of the proposed method, we calculate a high-resolution wind field in an urban-interface area from Badajoz, a South-West Spanish city located near the Portugal border. The results obtained are compared with the values read by a weathervane tower of the Spanish State Meteorological Agency (AEMET) in order to prove that the microscale model improves the forecasts obtained by the mesoscale model. |
Databáze: | OpenAIRE |
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