SchmidtAndresForestryDevelopmentSemi-Parametric.pdf

Citeable URL: https://ir.library.oregonstate.edu/concern/articles/jm214q625

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Creator	Kathilankal, J. C. O'Halloran, T. L. Schmidt, A. Hanson, C. V. Law, B. E.
Abstract	A semi-parametric PAR diffuse radiation model was developed using commonly measured climatic variables from 108 site-years of data from 17 AmeriFlux sites. The model has a logistic form and improves upon previous efforts using a larger data set and physically viable climate variables as predictors, including relative humidity, clearness index, surface albedo and solar elevation angle. Model performance was evaluated by comparison with a simple cubic polynomial model developed for the PAR spectral range. The logistic model outperformed the polynomial model with an improved coefficient of determination and slope relative to measured data (logistic: R² = 0.76; slope = 0.76; cubic: R² = 0.73; slope = 0.72), making this the most robust PAR-partitioning model for the United States currently available.
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2017-07-26

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