000064499 001__ 64499
000064499 005__ 20191126134632.0
000064499 0247_ $$2doi$$a10.1016/j.atmosres.2017.12.010
000064499 0248_ $$2sideral$$a103833
000064499 037__ $$aART-2018-103833
000064499 041__ $$aeng
000064499 100__ $$aAzorin-Molina, C.
000064499 245__ $$aEvaluating anemometer drift: A statistical approach to correct biases in wind speed measurement
000064499 260__ $$c2018
000064499 5060_ $$aAccess copy available to the general public$$fUnrestricted
000064499 5203_ $$aRecent 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.
000064499 536__ $$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 703733-STILLING$$9info:eu-repo/grantAgreement/EC/H2020/703733/EU/Towards improved understanding of the worldwide decline of wind speed in a climate change scenario/STILLING$$9info:eu-repo/grantAgreement/ES/DGA/Modelos Estocásticos
000064499 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000064499 590__ $$a4.114$$b2018
000064499 591__ $$aMETEOROLOGY & ATMOSPHERIC SCIENCES$$b13 / 86 = 0.151$$c2018$$dQ1$$eT1
000064499 592__ $$a1.464$$b2018
000064499 593__ $$aAtmospheric Science$$c2018$$dQ1
000064499 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000064499 700__ $$0(orcid)0000-0002-0174-789X$$aAsin, J.$$uUniversidad de Zaragoza
000064499 700__ $$aMcVicar, T.R.
000064499 700__ $$aMinola, L.
000064499 700__ $$0(orcid)0000-0002-7270-9313$$aLopez-Moreno, J.I.
000064499 700__ $$0(orcid)0000-0003-2892-518X$$aVicente-Serrano, S.M.
000064499 700__ $$aChen, D.
000064499 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000064499 773__ $$g203 (2018), 175-188$$pAtmos. res.$$tATMOSPHERIC RESEARCH$$x0169-8095
000064499 8564_ $$s570213$$uhttps://zaguan.unizar.es/record/64499/files/texto_completo.pdf$$yVersión publicada
000064499 8564_ $$s92764$$uhttps://zaguan.unizar.es/record/64499/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000064499 909CO $$ooai:zaguan.unizar.es:64499$$particulos$$pdriver
000064499 951__ $$a2019-11-26-13:41:55
000064499 980__ $$aARTICLE