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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-22 2:24 |
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Conference: Bucharest University Faculty of Physics 2013 Meeting
Section: Atmosphere and Earth Science; Environment Protection
Title:
Interpolating wind speed using data from weather stations and local roughness
Authors:
Lenuta Marin (1,2), Alexandru Dumitrescu (1), Marius-Victor Birsan (1)
Affiliation:
1) National Meteorological Administration, 97 Sos. Bucuresti-Ploiesti, Sect. 1, Bucharest 013686, Romania
2) University of Bucharest, Faculty of Physics, P.O.BOX MG-11, Magurele, Bucharest, Romania
E-mail
lenuta.marin@meteoromania.ro
Keywords:
wind speed, Romania, planetary boundary layer, interpolation, roughness.
Abstract:
The spatial distribution of the long-term average wind speed is essential to assess in several activities like wind farm planning and management, aviation-related operations, dispersion modelling of pollutants, and quantifying evaporation for agricultural purposes. Wind energy resource models require gridded maps that include estimates of the wind speed at locations where no measurements are available. Generating gridded maps, from the meteorological observation station network, is commonly referred to as spatial interpolation.The aim of this study is to find an adequate method of producing interpolated maps of the yearly and monthly climate normals of surface wind speed at all grid points in Romania.This paper presents the wind data analysis for yearly and monthly mean values of wind speed of NMA (Meteo Romania), measured at standard height of 10 m from different meteorological sites, covering a period of 10 years, between 2003 and 2012 and offering a good spatial coverage over Romania. The wind speed at the top of the boundary layer are calculated for each location, using a two-layer model of the planetary boundary layer. At this height the wind is undisturbed by variations from the surface roughness therefore is an ideal height for interpolating the wind speed. After interpolation, surface wind speeds are calculated at all grid points of the macrowind, using the two-layer model and surface roughness for Romania. Roughness data has been derived from CORINE LULC2006 product. The elevation data was extracted from SRTM. The roughness lengths are derived from the land use. Data are stored in 25 by 25 m grid cell, the information being mostly based on satellite data. The annual and monthly results of the aforementioned method are then compared to wind speed maps obtained by simply interpolating the station data. Our results show that the method involving the planetary boundary layer better reveals the regional patterns and orographic influence on wind speed.
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