Articles producció científica> Geografia

Biases in wind speed measurements due to anemometer changes

  • Dades identificatives

    Identificador: imarina:9296466
  • Autors:

    Azorin-Molina C
    Pirooz AAS
    Bedoya-Valestt S
    Utrabo-Carazo E
    Andres-Martin M
    Shen C
    Minola L
    Guijarro JA
    Aguilar E
    Brunet M
    Flay RGJ
    Vicente-Serrano SM
    McVicar TR
    Chen D
  • Altres:

    Autor segons l'article: Azorin-Molina C; Pirooz AAS; Bedoya-Valestt S; Utrabo-Carazo E; Andres-Martin M; Shen C; Minola L; Guijarro JA; Aguilar E; Brunet M; Flay RGJ; Vicente-Serrano SM; McVicar TR; Chen D
    Departament: Geografia
    Autor/s de la URV: Aguilar Anfrons, Enrique Modesto / Brunet India, Manuela Catalina
    Paraules clau: Surface wind measurements Quality-control Breakpoints Biases Anemometer changes trends spain portugal homogenization gusts breakpoints biases anemometer changes
    Resum: This research presents a case study of the biases and discontinuities that were introduced in observed long-term mean wind-speed and gust data-series due to anemometer changes in a meteorological station in northern Spain, operated by the Spanish State Meteorological Agency: San Sebastian-Igueldo. Field and wind-tunnel experiments with predefined conditions have been presented in the literature, however this research uses a real case study to assess the impact of anemometer changes on wind speed measurements due to three factors being: (i) the 3-cup anemometer model (SEAC vs. THIES companies); (ii) sensor height (∼19.95 m vs. ∼20.45 m) and (iii) sensor age (20-years old vs. new). Our results show (a) substantial biases in the measured wind speed and daily peak wind gusts, with the new THIES anemometer reporting stronger surface winds than the old SEAC anemometer; (b) opposing biases under weak (negative) and moderate-strong (positive) winds; and (c) significant breakpoints in the long-term wind data-series, which highlight the importance of data homogenization. National Weather Services and climate assessment groups will benefit from these findings since errors in wind speed and gust measurements can be minimized by implementing systematic observation protocols. Robust anemometer observations provide a basis for accurate quantification of the magnitude of changes and the variability of surface winds.
    Àrees temàtiques: Química Meteorology & atmospheric sciences Materiais Matemática / probabilidade e estatística Interdisciplinar Geografía Geociências Farmacia Ensino Engenharias iv Engenharias iii Engenharias ii Ciências biológicas ii Ciências ambientais Ciências agrárias i Ciência de alimentos Biodiversidade Atmospheric science Astronomia / física
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: manola.brunet@urv.cat enric.aguilar@urv.cat
    Identificador de l'autor: 0000-0002-9386-710X 0000-0002-8384-377X
    Data d'alta del registre: 2023-06-17
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://www.sciencedirect.com/science/article/pii/S0169809523001680?via%3Dihub
    URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Atmospheric Research. 289
    Referència de l'ítem segons les normes APA: Azorin-Molina C; Pirooz AAS; Bedoya-Valestt S; Utrabo-Carazo E; Andres-Martin M; Shen C; Minola L; Guijarro JA; Aguilar E; Brunet M; Flay RGJ; Vicente (2023). Biases in wind speed measurements due to anemometer changes. Atmospheric Research, 289(), -. DOI: 10.1016/j.atmosres.2023.106771
    DOI de l'article: 10.1016/j.atmosres.2023.106771
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2023
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Atmospheric Science,Meteorology & Atmospheric Sciences
    Surface wind measurements
    Quality-control
    Breakpoints
    Biases
    Anemometer changes
    trends
    spain
    portugal
    homogenization
    gusts
    breakpoints
    biases
    anemometer changes
    Química
    Meteorology & atmospheric sciences
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Geografía
    Geociências
    Farmacia
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Ciências biológicas ii
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Biodiversidade
    Atmospheric science
    Astronomia / física
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