• DocumentCode
    3057681
  • Title

    Estimation of evaporative fraction from temporal changes of temperature and net radiation

  • Author

    Jing Lu ; Zhao-Liang Li ; Ronglin Tang ; Bohui Tang ; Hua Wu ; Labed, Jelila

  • Author_Institution
    State Key Lab. of Resources & Environ. Inf. Syst., Inst. of Geogr., Sci. & Natural Resources Res., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    1813
  • Lastpage
    1816
  • Abstract
    To resolve uncertainties in evapotranspiration (ET) estimates caused by the retrieval error of remotely sensed data, this study develops an evaporative fraction (EF) parameterization based on surface energy balance and the assumption of generally invariant EF during the daytime. EF is deduced as a function of temporal change of surface temperatures, temporal change of air temperature, temporal change of net radiation, and fractional vegetation cover. The EF parameterization is evaluated by the simulated data from a soil-vegetation-atmosphere transfer model with a coefficient of determination (R2) of 0.786 and a root mean square error (RMSE) of 0.117. When the EF parameterization is used to estimate the daily ET of the Yucheng station in North China by in situ measurements, the estimated results are acceptable with an RMSE of 0.7 mm (relative RMSE of 25%) and an R2 of 0.837.
  • Keywords
    atmospheric radiation; atmospheric temperature; evaporation; land surface temperature; transpiration; vegetation; North China; evaporative fraction estimation; evaporative fraction parameterization; evapotranspiration; fractional vegetation cover; net radiation temporal changes; retrieval error; soil-vegetation-atmosphere transfer model; surface energy balance; temperature temporal changes; Atmospheric measurements; Atmospheric modeling; Equations; Mathematical model; Remote sensing; Temperature sensors; EF; ET; net radiation; surface temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723152
  • Filename
    6723152