• DocumentCode
    3097800
  • Title

    Estimation of Solar Radiation from Measured Temperatures at Different Time Scales in Chongqing

  • Author

    Li, Mao-Fen ; Liu, Hong-Bin ; Guo, Peng-Tao ; Wu, Wei

  • Author_Institution
    Coll. of Resources & Environ., Southwest Univ., Chongqing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Solar radiation (Rs), a critical variable in eco-environmental models, is not measured at many meteorological stations. Prediction of Rs has drawn increasing attention in the recent years. The aim of the present research was to conduct a comparative study of estimating Rs from measured maximum and minimum temperature and dew point temperature at daily, five-day, ten-day, monthly time scales. Coefficient of determination (r2), RMSE (root mean square error), and d-index were used to compare the goodness of fit of all the models at different time scales. The rank of goodness of fit of all models at time scales was: daily <; five-day <; ten-day <; monthly. In terms of RMSE and d-index, the newly developed model which contained all variables performed best at all time scales and could be a general radiation estimation model.
  • Keywords
    climatology; meteorology; solar radiation; d-index; determination Coefficient; dew point temperature; ecoenvironmental models; meteorological station; radiation estimation model; root mean square error; solar radiation estimation; time scale; Educational institutions; Information science; Meteorology; Regression analysis; Rivers; Root mean square; Solar radiation; Temperature distribution; Temperature measurement; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5515350
  • Filename
    5515350