Estimation of solar radiation and its application to crop simulation models in Greece

作者: T Mavromatis

DOI: 10.3354/CR00750

关键词: StatisticsRadiationPiecewiseCrop simulation modelMean squared errorGeographyCloud coverMeteorologyDiurnal temperature variationSunshine durationFunction (mathematics)

摘要: Lack of data on site-specific daily solar radiation (Rg) is a significant impediment for most crop modeling applications. For this reason, 5 methods estimating Rg were tested: the Angstrom-Prescott equation (AP), Supit - van Kappel formula (SK) and 3 temperature-based methods: Campbell-Donatelli model, Hargreaves equation, piecewise multiple linear regres- sions with breakpoint (PLR). To overcome lack long continuous time series mea- surements at sites, satellite-derived from HelioClim-1 database tested against observations 2 stations, then interpolated 12 additional stations. When sunshine duration available, AP was best, because it (1) produced intercepts slopes closest to zero unity, respectively (2) had lowest relative RMSE (9 18.6%). cloud cover maximum minimum temperatures SK equally effective as in assessment metrics. only site maxi- mum temperatures, PLR approach breakpoint, which reflects value response changes function extraterrestrial RA diurnal temperature range, performed best. The mean <3.7% higher than that AP. provided suitable simulation measured CERES-Wheat while among smallest yield errors. Future validation efforts should explore validity model other regions under regimes greater availability

参考文章(37)
A. Angstroem, Solar and terrestrial radiation Q. J. R. Meteorol. Soc.; (United States). ,vol. 50, ,(1924)
Richard G. Allen, Dirk Raes, Martin Smith, Luis S. Pereira, Crop evapotranspiration : guidelines for computing crop water requirements FAO Irrigation and Drainage Paper (FAO). ,(1998)
L.A. Hunt, L. Kuchar, C.J. Swanton, Estimation of solar radiation for use in crop modelling Agricultural and Forest Meteorology. ,vol. 91, pp. 293- 300 ,(1998) , 10.1016/S0168-1923(98)00055-0
W. E. Ricker, Computation and uses of central trend lines Canadian Journal of Zoology. ,vol. 62, pp. 1897- 1905 ,(1984) , 10.1139/Z84-279
M. Rivington, K.B. Matthews, G. Bellocchi, K. Buchan, Evaluating uncertainty introduced to process-based simulation model estimates by alternative sources of meteorological data Agricultural Systems. ,vol. 88, pp. 451- 471 ,(2006) , 10.1016/J.AGSY.2005.07.004
I. Supit, R.R. van Kappel, A Simple Method to Estimate Global Radiation. Solar Energy. ,vol. 63, pp. 147- 160 ,(1998) , 10.1016/S0038-092X(98)00068-1
Russell Brinsfield, Melih Yaramanoglu, Fredrick Wheaton, Ground level solar radiation prediction model including cloud cover effects Solar Energy. ,vol. 33, pp. 493- 499 ,(1984) , 10.1016/0038-092X(84)90003-3
Peter E. Thornton, Steven W. Running, An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation Agricultural and Forest Meteorology. ,vol. 93, pp. 211- 228 ,(1999) , 10.1016/S0168-1923(98)00126-9
S. Safi, A. Zeroual, M. Hassani, Prediction of global daily solar radiation using higher order statistics Renewable Energy. ,vol. 27, pp. 647- 666 ,(2002) , 10.1016/S0960-1481(01)00153-7