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Evaluating anemometer drift: A statistical approach to correct biases in wind speed measurement

Azorin-Molina, Cesar (författare)
Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences
Asin, J. (författare)
McVicar, T. R. (författare)
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Minola, Lorenzo (författare)
Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences
Lopez-Moreno, J. I. (författare)
Vicente-Serrano, S. M. (författare)
Chen, Deliang, 1961 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences
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 (creator_code:org_t)
Elsevier BV, 2018
2018
Engelska.
Ingår i: Atmospheric research. - : Elsevier BV. - 0169-8095. ; 203, s. 175-188
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • 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.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)

Nyckelord

Bearing ageing
Intercomparison
Regression models
Stilling phenomenon
Wind speed
Anemometers
Regression analysis
Speed
Speed regulators
Weather information services
Automatic weather stations
Intercomparisons
Meteorological agency
Regression model
Statistical approach
Wind speed measurement
Wind
anemometer
comparative study
error correction
instrumentation
measurement method
midlatitude environment
Northern Hemisphere
wind velocity
Spain

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