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4257471 
Book/Book Chapter 
Improvements to the regional deterministic air quality analysis system for ozone and PM2.5 at the surface at the Canadian Meteorological Center 
Zaitseva, Y; Robichaud, A; Menard, R; Anselmo, D; Verner, G; Veillette, L; Malek, C; Provost, I 
2014 
Springer International Publishing 
New York, NY 
Air Pollution Modeling and its Application XXIII 
623-628 
English 
WOS:000392403800103 
is a chapter of 4571615 Air pollution modeling and its application XXIII
In February 2013, in collaboration with the Air Quality Research Division, the Canadian Meteorological Centre (CMC) implemented into operations a new surface analysis for air quality species (ozone and PM2.5). The Regional Deterministic Air Quality Analysis (RDAQA) generates analyses every hour using the operational GEM-MACH Regional Air Quality Deterministic Prediction System (48 h forecasts on a domain with 10-km horizontal grid spacing and 80-vertical levels) to provide the trial fields. Surface observations are from Canadian regional data providers and the US EPA/AIRNow Program. An optimal interpolation scheme adapted to air quality is used to blend model and observations. A verification of the RDAQA shows major reductions in the error variance and bias of the analysis with respect to the model forecasts as compared to observations. 
Optimal Interpolation; Surface Pollutant; Verification Score; Optimal Interpolation Scheme; Canadian Meteorological 
1st 
Steyn, D; Mathur, R 
Springer Proceedings in Complexity (SPCOM) 
9783319043791 
33rd International Technical Meeting (ITM) on Air Pollution Modelling and Its Application 
Miami, FL 
August 27-31, 2013