• Comparison of spatial patterns...

Result: Comparison of spatial patterns of pollutant distribution with CMAQ predictions

Title:
Comparison of spatial patterns of pollutant distribution with CMAQ predictions
Authors:
PHILLIPS, Sharon B, FINKELSTEIN, Peter L
Source:
Special Issue on Model Evaluation: Evaluation of Urban and Regional Eulerian Air Quality ModelsAtmospheric environment (1994). 40(26):4999-5009
Publisher Information:
Oxford: Elsevier Science, 2006.
Publication Year:
2006
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Subject Terms:
Environment, Environnement, Climatology, meteorology, Climatologie, météorologie, Pollution, Toxicology, Toxicologie, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Pollution, Pollution atmosphérique, Atmospheric pollution, Méthodes d'analyse, Analysis methods, Ammonium, Amonio, Aérosol, Aerosols, Aerosol, Distribution concentration, Concentration distribution, Distribución concentración, Donnée observation, Observation data, Dato observación, Ensemble épars, Sparse set, Modèle 3 dimensions, Three dimensional model, Modelo 3 dimensiones, Nitrate, Nitrates, Nitrato, Performance algorithme, Algorithm performance, Resultado algoritmo, Pollution air, Air pollution, Contaminación aire, Qualité air, Air quality, Calidad aire, Réseau mesure, Measuring network, Red medición, Résultat mesure, Measurement result, Resultado medición, Simulation numérique, Numerical simulation, Simulación numérica, Sulfate, Sulfates, Sulfato, Troposphère, Troposphere, Troposfera, CMAQ, Model evaluation, Spatial statistical analysis
Subject Geographic:
Amérique du Nord, North America, America del norte, Amérique, America, Etats Unis, United States, Estados Unidos
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
United States Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, Mail Drop D243-01, 109 T.W. Alexander Drive, RTP, NC 27711, United States
National Oceanic and Atmospheric Administration, Atmospheric Sciences Modeling Division, in partnership with the United States Environmental Protection Agency, RTP, NC27711, United States
ISSN:
1352-2310
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18043223
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.18043223
Database:
PASCAL Archive

Further Information

To evaluate the Models-3/Community Multiscale Air Quality (CMAQ) modeling system in reproducing the spatial patterns of aerosol concentrations over the country on timescales of months and years, the spatial patterns of model output are compared with those derived from observational data. Simple spatial interpolation procedures were applied to data from the Clean Air Status and Trends Network (CASTNet) and Speciation Trends Network (STN) monitoring networks. Species included sulfate PM, total nitrate (NO-3 + HNO3), and ammonium PM. Comparisons were made for the annual average concentrations for 2001, and for one lunar month (4 weeks), where the month chosen for each species represents the highest concentrations of the year. Comparisons between the modeled and interpolated spatial patterns show very good agreement in the location and magnitude of the maxima and minima, as well as the gradients between them. Some persistent biases are identified and noted. Limitations on our ability to describe the spatial pattern from sparse data as well as the limitations of the networks are briefly discussed.