New unbiased symmetric metrics for evaluation of air quality models
نویسندگان
چکیده
Unbiased symmetric metrics to quantify the relative bias and error between modeled and observed concentrations, based on the factor between measured and observed concentrations, are introduced and compared to conventionally employed metrics. Application to the evaluation of several data sets shows that the new metrics overcome concerns with the conventional metrics and provide useful measures of model performance. Copyright 2006 Royal Meteorological Society
منابع مشابه
New unbiased symmetric metrics for the evaluation of air quality models
Unbiased symmetric metrics to quantify the relative bias and error between modeled and observed concentrations, based on the factor between measured and observed concentrations, are introduced and compared to conventionally employed metrics. Application to evaluation of several data sets shows that the new metrics overcome concerns with the conventional metrics and provide useful measures of mo...
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