Treffer: CMAQ/CAMx annual 2002 performance evaluation over the eastern US

Title:
CMAQ/CAMx annual 2002 performance evaluation over the eastern US
Source:
Special Issue on Model Evaluation: Evaluation of Urban and Regional Eulerian Air Quality ModelsAtmospheric environment (1994). 40(26):4906-4919
Publisher Information:
Oxford: Elsevier Science, 2006.
Publication Year:
2006
Physical Description:
print, 1 p.3/4
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Alpine Geophysics, LLC, 3479 Reeves Drive, Ft. Wright, KY 41017, United States
ENVIRON International Corporation, 101 Rowland Way, Suite 220, Novato, CA 94945, United States
Center for Environmental Research and Technology, 1084 Columbia, University of California, Riverside, CA 92521, United States
Georgia Department of Natural Resources, 4244 International Pkwy, Suite 120, Atlanta, GA 30354, United States
VISTAS Technical Coordinator, 2090 US Highway 70, Swannanoa, NC 28778, 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.18043216
Database:
PASCAL Archive

Weitere Informationen

Operational, diagnostic, and comparative evaluations of two one-atmosphere regional models were performed for the full calendar year 2002 in support of regional haze regulatory applications in the eastern US. Using consistent emissions, meteorological and air quality data sets, the community multi-scale air quality and comprehensive air quality model with extensions models were exercised on a nested 36/12 km grid system and evaluated across a broad range of time and space scales for numerous gas-phase and fine particulate species derived from routine and research-grade ambient measurements at six monitoring networks. Performance by both models for speciated fine particulate matter (PM) across the eastern US ranged from quite good (e.g., SO2-4) to poor (e.g., soil). For most species, model bias was higher in the winter and lower (usually negative) in the summer suggesting potential issues related to vertical mixing (e.g., too little in winter), temporal allocation of emissions, and/or other model science processes or inputs. These results may be used to (a) guide one-atmosphere model refinements, (b) improve data input preparation procedures, (c) evaluate methods for rigorous, stressful performance testing, and (d) clarify the uncertainty in model estimates for regional haze and PM2.5 control strategy programs.