An assessment of scale-dependent variability and bias in global prediction models
Climate Dynamics（2019）
Abstract
The paper presents a method for the scale-dependent validation of the spatio-temporal variability in global weather or climate models and for their bias quantification in relation to dynamics. The method provides a relationship between the bias and simulated spatial and temporal variance by a model in comparison with verifying reanalysis data. For the low resolution (T30L8) subset of ERA-20C data, it was found that 80–90
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Key words
Spatio-temporal variability, Bias spectra, Variability quantification, Climate models, Model validation
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