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Models-3 Users

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Guelph, Ontario, Canada. Colin di Cenzo ... Map different parameters between MC2 and MM5. Parallel processor CMAQ runs on LINUX ... – PowerPoint PPT presentation

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Title: Models-3 Users


1
Models-3 Users WorkshopRaleigh, North
CarolinaOctober 27-23, 2003
New Developments and Applications of Models-3in
Canada
J. Wayne Boulton, Mike Lepage, Xin Qiu, and
Martin Gauthier RWDI West Inc., Guelph, Ontario,
Canada Colin di Cenzo Environment Canada PYR,
Vancouver, British Columbia, Canada
2
New Developments
  • MC2 to MM5 converter
  • Convert MC2 output for input to SMOKE CMAQ
  • Re-project and interpolate horizontal grids
  • Convert vertical grid to MM5 sigma levels
  • Map different parameters between MC2 and MM5
  • Parallel processor CMAQ runs on LINUX
  • Compile CMAQ (source libraries) to run in
    parallel distributed LINUX environment (with UC
    Riverside)
  • Real-time AQ forecasting (MC2, SMOKE, CMAQ)
  • Assist University of B.C. staff to setup of
    real-time 12-km 4-km regional AQ forecasts for
    the PNW

3
PNW Model Domains
4
MC2 to MM5
Interpolation between projections and grid
resolutions
5
MC2 to MM5
Mapping Time Invariant Time Variant params
from MC2 to MM5
6
MC2 to MM5
Conversion performance evaluation
7
Parallel CMAQ Performance
CPU time elapsed (seconds), and Percent () time
relative to a single-CPU run.
8
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10
Vancouver
CMAQ Model Performance
PM2.5 (µg/m3)
11
Ozone (ppbV)
Chilliwack
CMAQ Model Performance
PM2.5 (µg/m3)
12
New Applications
  • CMAQ runs in support of Health Canada risk
    assessments
  • 75 electric vehicle fleet penetration with four
    electricity production scenarios
  • GIS-based post-processing routines developed
  • Ethanol blend fuel (E10) scenarios (ongoing)
  • CMAQ runs in support of emission source
    contribution assessments from power plants
  • Various emission / source contribution scenarios
  • Hourly power plant emissions modelled in SMOKE
  • Development of improved spatial surrogates and
    temporal profiles for SMOKE
  • Based on traffic demand model (EMME/2) outputs

13
On-Road Vehicle Surrogates Temporal Profiles
Spatial Surrogate Techniques a) Road length b)
VMT (traffic demand model)
14
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