DOI: 10.1016/j.atmosres.2017.12.010
Scopus记录号: 2-s2.0-85040623801
论文题名: Evaluating anemometer drift: A statistical approach to correct biases in wind speed measurement
作者: Azorin-Molina C. ; Asin J. ; McVicar T.R. ; Minola L. ; Lopez-Moreno J.I. ; Vicente-Serrano S.M. ; Chen D.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 203 起始页码: 175
结束页码: 188
语种: 英语
英文关键词: Bearing ageing
; Intercomparison
; Regression models
; Stilling phenomenon
; Wind speed
Scopus关键词: Anemometers
; Regression analysis
; Speed
; Speed regulators
; Weather information services
; Automatic weather stations
; Intercomparisons
; Meteorological agency
; Regression model
; Statistical approach
; Stilling phenomenon
; Wind speed
; Wind speed measurement
; Wind
; anemometer
; comparative study
; error correction
; instrumentation
; measurement method
; midlatitude environment
; Northern Hemisphere
; wind velocity
; Spain
英文摘要: Recent studies on observed wind variability have revealed a decline (termed “stilling”) of near-surface wind speed during the last 30–50 years over many mid-latitude terrestrial regions, particularly in the Northern Hemisphere. The well-known impact of cup anemometer drift (i.e., wear on the bearings) on the observed weakening of wind speed has been mentioned as a potential contributor to the declining trend. However, to date, no research has quantified its contribution to stilling based on measurements, which is most likely due to lack of quantification of the ageing effect. In this study, a 3-year field experiment (2014–2016) with 10-minute paired wind speed measurements from one new and one malfunctioned (i.e., old bearings) SEAC SV5 cup anemometer which has been used by the Spanish Meteorological Agency in automatic weather stations since mid-1980s, was developed for assessing for the first time the role of anemometer drift on wind speed measurement. The results showed a statistical significant impact of anemometer drift on wind speed measurements, with the old anemometer measuring lower wind speeds than the new one. Biases show a marked temporal pattern and clear dependency on wind speed, with both weak and strong winds causing significant biases. This pioneering quantification of biases has allowed us to define two regression models that correct up to 37% of the artificial bias in wind speed due to measurement with an old anemometer. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108943
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Sweden; Department of Statistical Methods, University of Zaragoza, Zaragoza, Spain; CSIRO Land and Water, Canberra, ACT, Australia; Australian Research Council Centre of Excellence for Climate System Science, University of New South Wales, Sydney, Australia; Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC), Departamento de Procesos Geoambientales y Cambio Global, Zaragoza, Spain
Recommended Citation:
Azorin-Molina C.,Asin J.,McVicar T.R.,et al. Evaluating anemometer drift: A statistical approach to correct biases in wind speed measurement[J]. Atmospheric Research,2018-01-01,203