Result: A performance evaluation of the 2004 release of Models-3 CMAQ

Title:
A performance evaluation of the 2004 release of Models-3 CMAQ
Source:
Special Issue on Model Evaluation: Evaluation of Urban and Regional Eulerian Air Quality ModelsAtmospheric environment (1994). 40(26):4811-4824
Publisher Information:
Oxford: Elsevier Science, 2006.
Publication Year:
2006
Physical Description:
print, 19 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
ASMD, ARL, NOAA, Mail Drop E243-01, Research Triangle Park, NC 27711, United States
ISSN:
1352-2310
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Pollution
Accession Number:
edscal.18043209
Database:
PASCAL Archive

Further Information

This performance evaluation compares a full annual simulation (2001) of Community Multi-scale Air Quality (CMAQ) (Version 4.4) covering the contiguous United States against monitoring data from four nationwide networks. This effort, which represents one of the most spatially and temporally comprehensive performance evaluations of the model, reveals that CMAQ varies considerably in its ability to simulate ambient air concentrations of critical gas and particulate matter species. Simulations of the peak 1- and 8-h ozone (O3) concentrations during the O3 season (April-September, 2001) were relatively good (correlation (r) = 0.68, 0.69; normalized mean bias (NMB) = 4.0%, 8.1%; and normalized mean error (NME) = 18.3%, 19.6%, respectively). The annual simulation of sulfate (SO2-4) was also good (0.77≤r≤0.92, depending upon network) with relatively small error (25.0%≤NME≤42.0%), though slightly negatively biased (-2.0%≤NMB <-10.0%). The quality of ammonium (NH+4) simulations is similar to that of SO2-4(0.56≤r≤0.79; -4.0%≤NMB ≤14.0%; 35.0%≤NME≤63.0%). Simulations of nitrate (NO-3), elemental carbon (EC) and organic carbon (OC) are relatively poor, as compared to the simulations of the other species. For NO-3, the simulation resulted in: 0.37≤r≤0.62; -16.0%≤NMB≤4.0%; 80.0%≤NME≤94.0%. For the carbon species, the r ranged from 0.35 (OC) to 0.47 (EC), with fairly large amounts of error (NME = 68.0% for OC, 58.0% for EC) though small amounts of bias (NMB = -6.0% for EC and 12% for OC). The quality of the PM2.5 5 simulations, like PM2.5 5 itself, represented a compilation of the quality of all of the simulated particulate species (0.51≤r≤0.70, NMB = -3.0% and 45.0%≤NME≤46.0%).