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| Bibliography for the Regional Assessment of Climate Variability and Impact of Climate Forecasts on the Americas. | ||
| FOCUS: General |
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Stochastic Daily Solar Irradiance for Biological Modeling Applications
[PDF] / [Abstract] James W. Hansen Submitted April 6, 1998 to Agricultural and Forest Meteorology |
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Stochastic Daily Solar Irradiance for Biological Modeling Applications
[PDF] James W. Hansen Submitted April 6, 1998 to Agricultural and Forest Meteorology Abstract Stochastic daily weather generators commonly used for biological modeling applications produce poor representations of empirical distributions of global solar irradiance. The daily clearness index, the ratio of daily global to extraterrestrial irradiance, captures the stochastic component of solar irradiance due to atmospheric conditions. Three alternative models of daily solar irradiance (truncated gaussian distributions, logit-transformed relative clearness, and a family of empirically-derived distributions) conditioned on the occurrence of rain are described and evaluated using data from ten U.S. locations. The models are presented in terms of monthly cumulative distributions and density functions of clearness. Strong non-normality of distributions of clearness, and improved fits obtained with a logit transformation, are demonstrated. The model based on a logit transformation of relative clearness was superior to the other two in terms of goodness-of-fit and Akaike's information criterion, and is recommended for stochastic generation of daily irradiance conditioned on daily rainfall and temperature extremes. Results suggest that published mean coefficients of autocorrelation, and of cross-correlation coefficients with temperature extremes, do not need modification. |
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Last updated on April 13, 1998