Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/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
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
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 |
推荐引用方式 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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