Local wind speed forecasting based on WRF-HDWind coupling

[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 dynamica...

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Bibliographic Details
Authors: Prieto Herráez, Diego, Frías-Paredes, Laura, Cascón Barbero, José Manuel, Lagüela López, Susana, Gastón Romeo, Martín, Asensio Sevilla, María Isabel, Martín Nieto, Ignacio, Fernandes Correia, P.M., Laiz Alonso, Pablo, Carrasco Díaz, O.F., Sáez Blázquez, Cristina, Hernández, E., Ferragut Canalsd, L., González Aguilera, Diego
Format: article
Status:Versión aceptada para publicación
Publication Date:2021
Country:España
Institution:Universidad de Salamanca (USAL)
Repository:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/149831
Online Access:http://hdl.handle.net/10366/149831
Access Level:Open access
Keyword:Wind speed forecasting
WRF
HDWind
Dynamical downscaling
Local wind adjustment
2511.07 Ingeniería de Suelos
5506.06 Historia de la Economía
12 Matemáticas
Description
Summary:[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.

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