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Incorporating Bias Error in Calculating Solar Irradiance

Implications for Crop Yield Simulations

^a School of Nat. Resource Sci., Univ. of Nebraska, Lincoln, NE 68583-0728
^b Dep. of Geogr., Pennsylvania State Univ., University Park, PA 16802-5011

View larger version (15K): [in a new window]   Fig. 1. Locations in Kansas (Tribune, Hesston, and Ottawa), Nebraska (Sidney, Clay Center, and Mead), and South Dakota (Nisland, Brookings, and Redfield) used in this study.

View larger version (35K): [in a new window]   Fig. 2. Bias error of solar irradiance predictions using Algorithm 2 as a function of day of year (DOY) for the dependent data set (1983–1992) for Mead, NE. The solid line represents a 10-d weighted average of the bias error.