气候变化领域集成服务门户(CCPortal): Local wind speed forecasting based on WRF-HDWind coupling

CCPortal

DOI	10.1016/j.atmosres.2020.105219
	Local wind speed forecasting based on WRF-HDWind coupling
	Prieto-Herráez D.; Frías-Paredes L.; Cascón J.M.; Lagüela-López S.; Gastón-Romeo M.; Asensio-Sevilla M.I.; Martín-Nieto I.; Fernandes-Correia P.M.; Laiz-Alonso P.; Carrasco-Díaz O.F.; Sáez-Blázquez C.; Hernández E.; Ferragut-Canals L.; González-Aguilera D.
发表日期	2021
ISSN	0169-8095
卷号	248
英文摘要	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. © 2020 Elsevier B.V.
英文关键词	Dynamical downscaling; HDWind; Local wind adjustment; Wind speed forecasting; WRF
语种	英语
scopus关键词	Boundary layers; Predictive analytics; Speed; Wind; Dynamical downscaling; Heterogeneous terrains; Meso-scale modeling; Meteorological agency; Numerical weather prediction models; Weather research and forecasting; Wind speed and directions; Wind speed forecasting; Weather forecasting; atmospheric dynamics; heterogeneity; mesoscale meteorology; numerical model; prediction; weather forecasting; wind velocity; Badajoz [Extremadura]; Extremadura; Spain
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141694
作者单位	Cartographic and Land Engineering Department, University of Salamanca, EPS Ávila, Calle Hornos Caleros 50, Ávila, 05003, Spain; CENER (Nacional Renewable Energy Centre), Ciudad de la Innovación 7, Sarriguren, Navarre 31621, Spain; Economy and Economic History Department, University of Salamanca, Building FES, Campus Miguel de Unamuno, Salamanca, 37007, Spain; Applied Mathematics Department, University of Salamanca, Casas del Parque 2, Salamanca, 37008, Spain; Fundamental Physics and Mathematics University Institute, University of Salamanca, Casas del Parque 1, Salamanca, 37008, Spain; MatCom, San Fernando 4542, Santiago, Chile; Mathematics Department, Federico Santa Maria's University, Avenida España 1680, Valparaíso, Chile
推荐引用方式 GB/T 7714	Prieto-Herráez D.,Frías-Paredes L.,Cascón J.M.,et al. Local wind speed forecasting based on WRF-HDWind coupling[J],2021,248.
APA	Prieto-Herráez D..,Frías-Paredes L..,Cascón J.M..,Lagüela-López S..,Gastón-Romeo M..,...&González-Aguilera D..(2021).Local wind speed forecasting based on WRF-HDWind coupling.Atmospheric Research,248.
MLA	Prieto-Herráez D.,et al."Local wind speed forecasting based on WRF-HDWind coupling".Atmospheric Research 248(2021).