Interactive comment on “Error apportionment for atmospheric chemistry-transport models: a new approach to model evaluation” by E. Solazzo and S. Galmarini
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Interactive comment on “Error apportionment for atmospheric chemistry-transport models: a new approach to model evaluation” by E. Solazzo and S. Galmarini
Model/observation correlation as a stand-alone metric can be informative as it shows whether the model can reproduce patterns seen in the observations. For example, the ID component, as noted, has small errors, but for individual monitoring sites (not spatially averaged), correlation between modeled and observed ID is often quite low and insignificant (there often appears to be no relationship ...
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