期刊
ATMOSPHERIC RESEARCH
卷 157, 期 -, 页码 17-28出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.atmosres.2015.01.006
关键词
Wind evaluation; Land cover; GLCC; WRF; CORINE
资金
- Consejeria de Economia, Innovacion, Ciencia y Empleo of the Junta de Andalucia (Spain)
- Ministerio de Economia y Competitividad (MINECO, Spain) [P07-RNM-02872]
- Solar Radiation and Atmosphere Modeling Group (TEP-220 Junta de Andalucia) at the University of Jaen (Spain)
- energy meteorology group in ForWind (Center for Wind Energy Research), University of Oldenburg (Germany)
In this work, we evaluate the influence of land-use representation accuracy on the reliability of wind speed and direction estimates derived from the Weather Research and Forecasting (WRF) model. To this end, the 100-m spatial resolution Coordination of Information on the Environment (CORINE) land-use dataset was implemented as static geographic data in WRF. Next, a set of one-year long simulations at 1-km spatial resolution was conducted using both the CORINE and Global Land Cover Characterization (GLCC) land-use datasets, the latter the default in WRF. The simulations were conducted for three locations in southern Spain, and were characterized by variable land-use composition and topography. At these locations, wind speed and direction estimates were compared against observations at different measurement elevations. Results showed that the selection of land-use database has a major influence on wind estimate bias. The effect on the wind direction distribution is also significant, whereas that on the standard deviation is much weaker. CORINE provided a more reliable land-use representation than GLCC Nevertheless, as a consequence of the interpolation procedure used for land use in the domain setup, this representation did not necessarily translate to a superior roughness length, thereby affecting wind speed and direction estimates. This was particularly so for areas of high spatial variability in land-use categories. In such areas, the misrepresentation of land use may result in large wind speed estimation errors. (C) 2015 Elsevier B.V. All rights reserved.
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