GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2017.12.010
Evaluating anemometer drift: A statistical approach to correct biases in wind speed measurement
Azorin-Molina, Cesar1; Asin, Jesus2; McVicar, Tim R.3,4; Minola, Lorenzo1; Lopez-Moreno, Juan I.5; Vicente-Serrano, Sergio M.5; Chen, Deliang1
2018-05-01
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2018
卷号203页码:175-188
文章类型Article
语种英语
国家Sweden; Spain; Australia
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.


英文关键词Wind speed Bearing ageing Intercomparison Regression models Stilling phenomenon
领域地球科学
收录类别SCI-E
WOS记录号WOS:000426226400015
WOS关键词CUP ANEMOMETER ; ALICANTE SPAIN ; TREND ANALYSIS ; SEA BREEZES ; HOMOGENIZATION ; PERFORMANCE ; EVAPORATION ; REGRESSION ; PORTUGAL ; ROTATION
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/38224
专题地球科学
作者单位1.Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, Gothenburg, Sweden;
2.Univ Zaragoza, Dept Stat Methods, Zaragoza, Spain;
3.CSIRO Land & Water, Canberra, ACT, Australia;
4.Univ New South Wales, Australian Res Council Ctr Excellence Climate Sys, Sydney, NSW, Australia;
5.CSIC, IPE, Dept Proc Geoambientales & Cambio Global, Zaragoza, Spain
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GB/T 7714
Azorin-Molina, Cesar,Asin, Jesus,McVicar, Tim R.,et al. Evaluating anemometer drift: A statistical approach to correct biases in wind speed measurement[J]. ATMOSPHERIC RESEARCH,2018,203:175-188.
APA Azorin-Molina, Cesar.,Asin, Jesus.,McVicar, Tim R..,Minola, Lorenzo.,Lopez-Moreno, Juan I..,...&Chen, Deliang.(2018).Evaluating anemometer drift: A statistical approach to correct biases in wind speed measurement.ATMOSPHERIC RESEARCH,203,175-188.
MLA Azorin-Molina, Cesar,et al."Evaluating anemometer drift: A statistical approach to correct biases in wind speed measurement".ATMOSPHERIC RESEARCH 203(2018):175-188.
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