New unbiased symmetric metrics for evaluation of air quality models

被引：225

作者：

Yu, Shaocai ^{[1
]}

Eder, Brian ^{[1
]}

Dennis, Robin ^{[1
]}

Chu, Shao-Hang ^{[2
]}

Schwartz, Stephen E. ^{[3
]}

机构：

[1] US EPA, Natl Exposure Res Lab, Atmospher Sci Modeling Div, Res Triangle Pk, NC 27711 USA

[2] US EPA, Off Air Qual Planning & Stand, Res Triangle Pk, NC 27711 USA

[3] Brookhaven Natl Lab, Div Atmospher Sci, Upton, NY 11973 USA

来源：

ATMOSPHERIC SCIENCE LETTERS | 2006年 / 7卷 / 01期

关键词：

unbiased symmetric metrics; evaluation; air quality model; factor;

D O I：

10.1002/asl.125

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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 (C) 2006 Royal Meteorological Society

引用

页码：26 / 34

页数：9

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