01495nam a2200241Ia 4500003001000000005001700010040000900027245009400036490007800130520067900208650001900887650001600906650002100922650001200943650001500955650002700970650001000997650001601007700001501023700001801038856015601056008004101212MX-MdCICY20260521091528.0  cCICY10aOn the use of the normalized mean square error in evaluating dispersion model performance0 vAtmospheric Environment Part A, General Topics, 27(15), p.2427-2434, 19933 aA widely used air quality model performance index, the normalized mean square error, NMSE, is analyzed in detail. It is shown that the main purposes of the index, i.e. avoiding bias towards model overestimate or underestimate and giving an overview of the model performance over the entire data set of sampled concentrations, are not fulfilled. It is also shown that in certain situations, that have not to be considered as limit cases, the "best" condition to get the lowest value of the NMSE is completely different from what one would expect by simple logical considerations. A proposal is then made to obtain the desired results by the use of different indices. © 1993.14aAIR MONITORING14aAIR QUALITY14aANALYTICAL ERROR14aARTICLE14aDISPERSION14aINTERMETHOD COMPARISON14aMODEL14aPERFORMANCE12aPoli, A.A.12aCirillo, M.C.40uhttps://drive.google.com/file/d/1DQGMV1QWzpBt13sPoh08wX_P4J6t9Jca/view?usp=drivesdkzPara ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx250602s9999    xx |||||s2   |||| ||und|d