1 / 23

Performance Evaluation of AURAMS for Multiple Cases

Performance Evaluation of AURAMS for Multiple Cases. Michael Moran , Véronique Bouchet, Wanmin Gong, Paul Makar, Sophie Cousineau, Louis-Philippe Crevier, Ashu Dastoor, Sunling Gong, Sylvain Ménard, and Balbir Pabla Meteorological Service of Canada Toronto, Ontario and Montreal, Quebec.

tryna
Télécharger la présentation

Performance Evaluation of AURAMS for Multiple Cases

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Performance Evaluation of AURAMS for Multiple Cases Michael Moran, Véronique Bouchet, Wanmin Gong, Paul Makar, Sophie Cousineau, Louis-Philippe Crevier, Ashu Dastoor, Sunling Gong, Sylvain Ménard, and Balbir Pabla Meteorological Service of Canada Toronto, Ontario and Montreal, Quebec

  2. Talk Outline • What Is An AURAMS? • Case Studies & AQ Data Sources • Some Operational Evaluation Results • Some Diagnostic Evaluation Results • Some Real-Time Evaluation Results • Summary and Next Steps

  3. AURAMS Is “AUnified Regional Air-quality Modelling System” • Episodic, regional, size-resolved, chemically-characterized PM modelling system • “Unified’ in sense that it considers multiple air pollutants and can be applied to multiple AQ issues (e.g., PM, acid deposition, tropospheric O3) • Consists of 3 main components: • regional emissions processing system; • nonhydrostatic global meteorological model; • “off-line” sectional PM regional air-quality model • Current PM resolution: 12 size bins (0.01-40.96 m) and 9 chemical components (SO4=, NO3-, NH4+, BC, pOC, sOC, CM, SS, H2O)

  4. National Emission Inventories (Cdn, U.S.) Population data Econometric data Land-use data Geophysical data Meteorological observations (OA) Canadian Emissions Processing System (CEPS) point mobile area biogenics GEM (prognostic meteorological model) Regional PM Model (CHRONOS+ADOM+CAM+new) Advection/diffusion (of 29 gaseous and 9x12 aerosol tracers) , emission (including gaseous precursors and size-segregated and chemically-resolved PM), dry deposition of gaseous tracer, coupled gaseous, aqueous-phase, aerosol/heterogeneous chemistry, secondary organic aerosol formation, aerosol microphysics (nucleation, condensation/evaporation, coagulation,CCN activation), size-dependentscavenging/wet deposition, size-dependent dry deposition of aerosols, gravitational settling/sedimentation. PM2.5, PM10 Concentration Fields

  5. Model Characteristics

  6. AURAMS Selected Evaluation Periods

  7. AURAMS Evaluation Period Data Sets

  8. Western & Eastern AURAMS Domains • Western Domain • 148 x 124 x 29 • Δx=21 km • Eastern Domain • 85 x 105 x 29 • Δx=42 km PM2.5 SO4 O3

  9. Ground-Level O3, 1700 EDT, July 14th 1995 Coloured Station Circles Superimposed On Contoured Gridded Model Field, Same Colour Scheme

  10. Hourly O3, All Stations, July 12-15, 1995 Max. Observed: ~185 ppb Max. Predicted: ~150 ppb

  11. 24-Hour PM2.5 Species: July 8-16, 1995 PM2.5 SO4 NAPS Network, g m-3 @STP 1-in-6 NH4 NO3

  12. PM2.5 & O3 Time Series, Feb. 7–14, 1998 PM2.5 PM2.5 PM2.5 O3

  13. Evaluation of Hourly O3 and PM2.5 Predictions, Feb. 7-14, 1998 Hourly O3 Hourly PM2.5

  14. PM2.5 SO4 NH4 NO3 24-Hour PM2.5 Species: Feb. 7-14, 1998 NAPS Network, g m-3 @STP 1-in-6

  15. Satellite vs. GEM-Modelled Cloud Field Cloud Fraction, 3085 m AGL

  16. Six-Day Precip-Weighted SO4= Conc. In Precip (July 31-Aug. 5, 1988) Modelled Observed

  17. AURAMS Diagnostic Evaluation – Pacific2001

  18. Daily Speciated PM Comparison, Aug. 25-31, 2001 (IMPROVE, CAPMoN, NAPS) PM2.5 SO4 PM2.5 NO3 PMtot SO4 PMtot NH4 Note: Red stations are less than 250 km from Pacific coast . Blue stations > 250 km from Pacific coast. PMtot NO3 PM2.5 EC

  19. Pacific2001 p-SO4 AMS Time-Size Cross Section Similar range and size distribution Short duration peaks in model lower than measurements p-SO4 AMS data courtesy of Hacene Boudries, Aerodyne Particle Size and Speciation

  20. Pacific2001 Lidar Time-Height Cross Section Langley, Aug. 29, 2001 Lidar data courtesy Kevin Strawbridge, MSC AURAMS captures the nighttime layer aloft detected by the lidar

  21. Same-Day Evaluation of Real-Time Forecasts (1) • Based on AIRNOW data feed • Summer 2004 for O3 and PM2.5 Obs O - M Model

  22. Same-Day Evaluation of Real-Time Forecasts (2)

  23. Summary and Next Steps • AURAMS is an episodic, regional, size-resolved, chemically-characterized PM modelling system that includes a sectional PM CTM • Operational, diagnostic, and real-time performance evaluations have all provided useful insights • Older cases provide point of comparison with other models (e.g., ADOM, RADM) while newer cases provide richer PM and PM precursor data sets for multi-pollutant evaluations • Additional cases (e.g., Eastern Supersite 2001/02 period, ICARTT/NEAQS-2K4 period), longer simulations, more fields (e.g., precip chemistry), more model intercomparisons are being pursued

More Related