Quality Assurance of Surface Wind Observations from Automated Weather Stations

Pedro A. Jiménez Departamento de Astrofísica y Ciencias de la Atmósfera, Universidad Complutense de Madrid, and División de Energías Renovables, CIEMAT, Madrid, Spain

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J. Fidel González-Rouco Departamento de Astrofísica y Ciencias de la Atmósfera, Universidad Complutense de Madrid, Madrid, Spain

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Jorge Navarro División de Energías Renovables, CIEMAT, Madrid, Spain

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Juan P. Montávez Departamento de Física, Universidad de Murcia, Murcia, Spain

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Elena García-Bustamante Departamento de Astrofísica y Ciencias de la Atmósfera, Universidad Complutense de Madrid, and División de Energías Renovables, CIEMAT, Madrid, Spain

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Abstract

Meteorological data of good quality are important for understanding both global and regional climates. In this respect, great efforts have been made to evaluate temperature- and precipitation-related records. This study summarizes the evaluations made to date of the quality of wind speed and direction records acquired at 41 automated weather stations in the northeast of the Iberian Peninsula. Observations were acquired from 1992 to 2005 at a temporal resolution of 10 and 30 min. A quality assurance system was imposed to screen the records for 1) manipulation errors associated with storage and management of the data, 2) consistency limits to ensure that observations are within their natural limits of variation, and 3) temporal consistency to assess abnormally low/high variations in the individual time series. In addition, the most important biases of the dataset are analyzed and corrected wherever possible. A total of 1.8% wind speed and 3.7% wind direction records was assumed invalid, pointing to specific problems in wind measurement. The study not only tries to contribute to the science with the creation of a wind dataset of improved quality, but it also reports on potential errors that could be present in other wind datasets.

Corresponding author address: Pedro A. Jiménez, Facultad de Ciencias Físicas, Universidad Complutense de Madrid, Avenida Complutense s/n, 28040 Madrid, Spain. Email: pedro.jimenez@fis.ucm.es

Abstract

Meteorological data of good quality are important for understanding both global and regional climates. In this respect, great efforts have been made to evaluate temperature- and precipitation-related records. This study summarizes the evaluations made to date of the quality of wind speed and direction records acquired at 41 automated weather stations in the northeast of the Iberian Peninsula. Observations were acquired from 1992 to 2005 at a temporal resolution of 10 and 30 min. A quality assurance system was imposed to screen the records for 1) manipulation errors associated with storage and management of the data, 2) consistency limits to ensure that observations are within their natural limits of variation, and 3) temporal consistency to assess abnormally low/high variations in the individual time series. In addition, the most important biases of the dataset are analyzed and corrected wherever possible. A total of 1.8% wind speed and 3.7% wind direction records was assumed invalid, pointing to specific problems in wind measurement. The study not only tries to contribute to the science with the creation of a wind dataset of improved quality, but it also reports on potential errors that could be present in other wind datasets.

Corresponding author address: Pedro A. Jiménez, Facultad de Ciencias Físicas, Universidad Complutense de Madrid, Avenida Complutense s/n, 28040 Madrid, Spain. Email: pedro.jimenez@fis.ucm.es

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  • Aguilar, E., Auer I. , Brunet M. , Peterson T. C. , and Weringa J. , 2003: Guidelines on climate metadata and homogenization. WMO Tech. Rep. WMP-TD 1186, 55 pp.

    • Search Google Scholar
    • Export Citation
  • Alexanderson, H. A., 1986: A homogeneity test applied to precipitation data. J. Climatol., 6 , 661675.

  • Bailey, B. H., and McDonald S. L. , 1997: Wind Resource Assessment Handbook. AWS Scientific, 79 pp.

  • Brunet, M., and Coauthors, 2006: The development of a new dataset of Spanish Daily Adjusted Temperature (SDATS) (1850–2003). Int. J. Climatol., 26 , 17771802.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • DeGaetano, A. T., 1997: A quality-control routine for hourly wind observations. J. Atmos. Oceanic Technol., 14 , 308317.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • DeGaetano, A. T., 1998: Identification and implications of biases in U.S. surface wind observation, archival, and summarization methods. Theor. Appl. Climatol., 60 , 151162.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Della-Marta, P. M., 2006: A method for hogenizing the extremes and mean of daily temperature measurements. J. Climate, 19 , 41794197.

  • Durre, I., Menne M. J. , and Vose R. S. , 2008: Strategies for evaluating quality assurance procedures. J. Appl. Meteor. Climatol., 47 , 17851791.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Eischeid, J., Baker C. B. , Karl T. , and Díaz H. F. , 1995: The quality control of long-term climatological data using objective data analysis. J. Appl. Meteor., 34 , 27872795.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Feng, S., Hu Q. , and Qian W. , 2004: Quality control of daily meteorological data in China, 1951–2000: A new dataset. Int. J. Climatol., 24 , 853870.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fiebrich, C. A., Grimsley D. L. , McPherson R. A. , and Kesler K. A. , 2006: The value of routine site visits in managing and maintaining quality data from the Oklahoma Mesonet. J. Atmos. Oceanic Technol., 23 , 406416.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Filippov, V. V., 1968: Quality control procedures for meteorological data. WMO Tech. Rep., 38 pp.

  • Gandin, L. S., 1988: Complex quality control of meteorological observations. Mon. Wea. Rev., 116 , 11371156.

  • González-Rouco, J. F., Jiménez J. L. , Quesada V. , and Valero F. , 2001: Quality control and homogeneity of precipitation data in the southwest of Europe. J. Climate, 8 , 964978.

    • Search Google Scholar
    • Export Citation
  • Grant, E. L., and Leavenworth R. S. , 1972: Statistical Quality Control. McGraw-Hill, 764 pp.

  • Graybeal, D. Y., 2006: Relationships among daily mean and maximum wind speeds, with application to data quality assurance. Int. J. Climatol., 26 , 2943.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Graybeal, D. Y., Degaetano A. T. , and Eggleston K. L. , 2004a: Complex quality assurance of historical hourly surface airways meteorological data. J. Atmos. Oceanic Technol., 21 , 11561169.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Graybeal, D. Y., Degaetano A. T. , and Eggleston K. L. , 2004b: Improved quality assurance for historical hourly temperature and humidity: Development and application to environmental analysis. J. Appl. Meteor., 43 , 17221735.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hubbard, K. G., Goddard S. , Sorensen W. D. , Wells N. , and Osugi T. T. , 2005: Performance of quality assurance procedures for an applied climate information system. J. Atmos. Oceanic Technol., 22 , 105112.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hubbard, K. G., Guttman N. B. , You J. , and Chen Z. , 2007: An improved QC process for temperature in the daily cooperative weather observations. J. Atmos. Oceanic Technol., 24 , 206213.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jiménez, P. A., González-Rouco J. F. , Montávez J. P. , Navarro J. , García-Bustamante E. , and Valero F. , 2008: Surface wind regionalization in complex terrain. J. Appl. Meteor. Climatol., 47 , 308325.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jiménez, P. A., González-Rouco J. F. , Montávez J. P. , García-Bustamante E. , and Navarro J. , 2009: Climatology of wind patterns in the northeast of the Iberian Peninsula. Int. J. Climatol., 29 , 501525.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jiménez, P. A., González-Rouco J. F. , García-Bustamante E. , Navarro J. , Montávez J. P. , Vilà-Guerau de Arellano J. , Dudhia J. , and Roldan A. , 2010: Surface wind regionalization over complex terrain: Evaluation and analysis of a high resolution WRF numerical simulation. J. Appl. Meteor. Climatol., 49 , 268287.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jungo, P., Goyette S. , and Beniston M. , 2002: Daily wind gust speed probabilities over Switzerland according to three types of synoptic circulation. Int. J. Climatol., 22 , 485499.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Karl, T. R., and Williams C. N. , 1987: An approach to adjusting climatological time series for discontinuous inhomogeneities. J. Climate Appl. Meteor., 26 , 17441763.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Karl, T. R., Williams C. N. , Young P. J. , and Wendland W. M. , 1986: A model to estimate the time of observation bias associated with monthly mean maximum, minimum, and mean temperature for the United States. J. Climate Appl. Meteor., 25 , 145160.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Karl, T. R., Tarpley J. D. , Quayle R. G. , Diaz H. F. , Robinson D. A. , and Bradley R. S. , 1989: The recent climate record: What it can and cannot tell us. Rev. Geophys., 27 , 405430.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kunkel, K. E., and Coauthors, 1998: An expanded digital daily database for climatic resources applications in the midwestern United States. Bull. Amer. Meteor. Soc., 79 , 13571366.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kunkel, K. E., Easterling D. R. , Hubbard K. , Redmond K. , Andsager K. , Kruk M. C. , and Spinar M. L. , 2005: Quality control of pre-1948 cooperative observer network data. J. Atmos. Oceanic Technol., 22 , 16911704.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lanzante, J. R., 1996: Resistant, robust, and nonparametric techniques for the analysis of climate data: Theory and examples, including applications to historical radiosonde station data. Int. J. Climatol., 22 , 11971226.

    • Search Google Scholar
    • Export Citation
  • Mardia, R. V., and Jupp P. E. , 1999: Directional Statistics. J. Wiley and Sons, 429 pp.

  • Meek, D. W., and Hatfield J. L. , 1994: Data quality checking for single station meteorological databases. Agric. For. Meteor., 69 , 85109.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Parker, D. E., Basnett T. A. , Brown S. J. , Gordon M. , Horton E. B. , and Rayner N. A. , 2000: Climate observations—The instrumental record. Space Sci. Rev., 94 , 309320.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Paulsen, B. M., and Schoeder J. L. , 2005: An examination of tropical and extratropical gust factors and the associated wind speed histograms. J. Appl. Meteor., 44 , 11971226.

    • Search Google Scholar
    • Export Citation
  • Peterson, T. C., and Coauthors, 1998a: Homogeneity adjustments of in situ atmospheric climate data: A review. Int. J. Climatol., 18 , 14931517.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Peterson, T. C., Vose R. , Schmoyer R. , and Razuvaev V. , 1998b: Global Historical Climatology Network (GHCN) quality control of monthly temperature data. Int. J. Climatol., 18 , 11691179.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pielke R. Sr., , and Coauthors, 2007a: Unresolved issues with the assessment of multidecadal global land surface temperature trends. J. Geophys. Res., 112 , D24S08. doi:10.1029/2006JD008229.

    • Search Google Scholar
    • Export Citation
  • Pielke R. Sr., , and Coauthors, 2007b: Documentation of uncertainties and biases associated with surface temperature measurement sites for climate change assessment. Bull. Amer. Meteor. Soc., 88 , 913928.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Reek, T., Doty S. R. , and Owen T. W. , 1992: A deterministic approach to the validation of historical daily temperature and precipitation data from the cooperative network. Bull. Amer. Meteor. Soc., 30 , 511523.

    • Search Google Scholar
    • Export Citation
  • Shafer, M. A., Fiebrich C. A. , Arndt D. S. , Fredrickson S. E. , and Hughes T. W. , 2000: Quality assurance procedures in the Oklahoma mesonetwork. J. Atmos. Oceanic Technol., 17 , 474494.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Thompson, D., Kennedy J. J. , Wallace J. M. , and Jones P. D. , 2008: A large discontinuity in the mid-twentieth century observed global-mean surface temperature. Nature, 453 , 646649.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Vejen, F., and Coauthors, 2002: Quality control of meteorological observations. Automatic methods used in the Nordic countries. KLIMA Tech. Rep. 8/2002, 106 pp.

    • Search Google Scholar
    • Export Citation
  • Venables, W. N., and Ripley B. D. , 1999: Modern Applied Statistics with S-plus. 3rd ed. Springer, 501 pp.

  • Vincent, L. A., Zhang X. , Bonsal B. R. , and Hogg W. D. , 2002: Homogenization of daily temperatures over Canada. J. Climate, 15 , 13221334.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wade, C. G., 1987: A quality-control program for surface meteorological data. J. Atmos. Oceanic Technol., 4 , 435453.

  • Wan, H., Wang X. X. L. , and Swail V. R. , 2007: A quality assurance system for Canadian hourly pressure data. J. Appl. Meteor. Climatol., 46 , 18041817.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Weggel, J. R., 1999: Maximum daily wind gusts related to mean daily wind speed. J. Struct. Eng., 125 , 465468.

  • Wijngaard, J. B., Klein Tank A. M. , and Können G. P. , 2003: Homogeneity of 20th century European daily temperature and precipitation series. Int. J. Climatol., 23 , 679692.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • WMO, 2008: Guide to meteorological instruments and methods of observation. Tech. Rep. WMO 8, 679 pp.

  • Wu, H., Hubbard K. G. , and You J. , 2005: Some concerns when using data from the cooperative weather station networks: A Nebraska case study. J. Atmos. Oceanic Technol., 22 , 592602.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xoplaki, E., González-Rouco J. F. , Luterbacher J. , and Wanner H. , 2004: Wet season Mediterranean precipitation variability: Influence of large-scale dynamics and predictability. Climate Dyn., 23 , 6378.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • You, J., Hubbard K. G. , Nadarajah S. , and Kunkel K. , 2007: Performance of quality assurance procedures on daily precipitation. J. Atmos. Oceanic Technol., 24 , 821834.

    • Crossref
    • Search Google Scholar
    • Export Citation
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