Incorporating Bias Error in Calculating Solar Irradiance

摘要: Solar irradiance is an important input parameter to many crop simulation models. It not measured at the same spatial density as air temperature and precipitation, which has lead development of algorithms calculate solar from precipitation data. Fourteen were evaluated using 10 yr temperature, data Mead, NE. All had similar root mean square errors (RMSE). When bias error (the difference between simulated values) was plotted against day year, only one version algorithm showed a simple pattern dependent on fitting Fourier series This formed basis for correction factor that applied all calculations irradiance. Using independent meteorological nine locations in eastern western portions Kansas, Nebraska, South Dakota, corrected developed Mead calculated with RMSE ranging 3.6 4.7 MJ m -2 d -1 . Erosion Productivity Impact Calculator, yields wheat (Triticum aestivum L.), maize (Zea mays soybean [Glycine max (L.) Merr.] significantly different when uncorrected irradiance; however, modified this modification, location can be used up 600 km away U.S. Great Plains.