Local wind speed forecasting based on WRF-HDWind coupling

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 dow...

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Detalles Bibliográficos
Autores: Prieto-Herráez, Diego, Frías Paredes, Laura, Cascón, J. Manuel, Lagüela, Susana, Gastón Romeo, Martín, Asensio, María Isabel, Martín Nieto, Ignacio, Fernandes Correia, Pedro Miguel, Laiz-Alonso, Pablo, Carrasco-Díaz, O. F., Sáez Blázquez, Cristina, Hernández, Erwin, Ferragut, Luis, González-Aguilera, Diego
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/52528
Acceso en línea:https://hdl.handle.net/2454/52528
Access Level:acceso abierto
Palabra clave:Wind speed forecasting
WRF
HDWind
Dynamical downscaling
Local wind adjustment
Descripción
Sumario: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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