Open AccessNew unbiased symmetric metrics for evaluation of air quality models
Author(s) -
Yu Shaocai,
Eder Brian,
Dennis Robin,
Chu ShaoHang,
Schwartz Stephen E.
Publication year - 2006
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl.125
Subject(s) - quality (philosophy) , computer science , statistics , data mining , environmental science , mathematics , physics , quantum mechanics
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