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A generalized additive model for the spatial distribution of snowpack in the Spanish Pyrenees

✍ Scribed by J. I. López-Moreno; D. Nogués-Bravo

Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
226 KB
Volume
19
Category
Article
ISSN
0885-6087

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✦ Synopsis

A generalized additive model (GAM) was used to model the spatial distribution of snow depth in the central Spanish Pyrenees. Statistically significant non-linear relationships were found between distinct location and topographical variables and the average depth of the April snowpack at 76 snow poles from 1985 to 2000. The joint effect of the predictor variables explained more than 73% of the variance of the dependent variable. The performance of the model was assessed by applying a number of quantitative approaches to the residuals from a cross-validation test. The relatively low estimated errors and the possibility of understanding the processes that control snow accumulation, through the response curves of each independent variable, indicate that GAMs may be a useful tool for interpolating local snow depth or other climate parameters.

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