Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Air.

Slides:



Advertisements
Similar presentations
Some recent studies using Models-3 Ian Rodgers Presentation to APRIL meeting London 4 th March 2003.
Advertisements

1 Policies for Addressing PM2.5 Precursor Emissions Rich Damberg EPA Office of Air Quality Planning and Standards June 20, 2007.
Jacques Rousseau & Dr David Lavoué
Incorporation of the Model of Aerosol Dynamics, Reaction, Ionization and Dissolution (MADRID) into CMAQ Yang Zhang, Betty K. Pun, Krish Vijayaraghavan,
Title EMEP Unified model Importance of observations for model evaluation Svetlana Tsyro MSC-W / EMEP TFMM workshop, Lillestrøm, 19 October 2010.
Christian Seigneur AER San Ramon, CA
CENRAP Modeling Workgroup Mational RPO Modeling Meeting May 25-26, Denver CO Calvin Ku Missouri DNR May 25, 2004.
Atmospheric modelling activities inside the Danish AMAP program Jesper H. Christensen NERI-ATMI, Frederiksborgvej Roskilde.
A Comparative Dynamic Evaluation of the AURAMS and CMAQ Air Quality Modeling Systems Steven Smyth a,b, Michael Moran c, Weimin Jiang a, Fuquan Yang a,
Evaluation of the AIRPACT2 modeling system for the Pacific Northwest Abdullah Mahmud MS Student, CEE Washington State University.
Next Gen AQ model Need AQ modeling at Global to Continental to Regional to Urban scales – Current systems using cascading nests is cumbersome – Duplicative.
Modeling BC Sources and Sinks - research plan Charles Q. Jia and Sunling Gong University of Toronto and Environment 1 st annual NETCARE workshop.
CMAQ (Community Multiscale Air Quality) pollutant Concentration change horizontal advection vertical advection horizontal dispersion vertical diffusion.
Modeling the Co-Benefits of Carbon Standards for Existing Power Plants STI-6102 Stephen Reid, Ken Craig, Garnet Erdakos Sonoma Technology, Inc. Jonathan.
The Sensitivity of Aerosol Sulfate to Changes in Nitrogen Oxides and Volatile Organic Compounds Ariel F. Stein Department of Meteorology The Pennsylvania.
1 1 Model studies of some atmospheric aerosols and comparisons with measurements K. G e o r g i e v I P P – B A S, S o f i a, B u l g a r i a.
Emission processing methodology for the new GEM-MACH model ABSTRACT SMOKE has recently been adapted to provide emissions for the new Meteorological Service.
Simulation of European emissions impacts on particulate matter concentrations in 2010 using Models-3 Rob Lennard, Steve Griffiths and Paul Sutton (RWE.
Aerosol Microphysics: Plans for GEOS-CHEM
A Modeling Investigation of the Climate Effects of Air Pollutants Aijun Xiu 1, Rohit Mathur 2, Adel Hanna 1, Uma Shankar 1, Frank Binkowski 1, Carlie Coats.
Modelling the Canadian Arctic and Northern Air Quality using GEM-MACH Wanmin Gong and Stephen Beagley Science and Technology Branch Environment Canada.
Contribution from Natural Sources of Aerosol Particles to PM in Canada Sunling Gong Scientific Team: Tianliang Zhao, David Lavoue, Richard Leaitch,
GEM-MACH Global The Canadian Global Air Quality Modeling/Forecasting System Dr. Sunling Gong Science and Technology Branch January 16-17, 2012.
Center for Environmental Research and Technology University of California, Riverside Bourns College of Engineering Evaluation and Intercomparison of N.
WRAP Update. Projects Updated 1996 emissions QA procedures New evaluation tools Model updates CB-IV km MM5 Fugitive dust NH 3 emissions Model.
Importance of Lightning NO for Regional Air Quality Modeling Thomas E. Pierce/NOAA Atmospheric Modeling Division National Exposure Research Laboratory.
EFFICIENT CHARACTERIZATION OF UNCERTAINTY IN CONTROL STRATEGY IMPACT PREDICTIONS EFFICIENT CHARACTERIZATION OF UNCERTAINTY IN CONTROL STRATEGY IMPACT PREDICTIONS.
Community Multiscale Air Quality Modeling System CMAQ Air Quality Data Summit February 2008.
Status of the New Canadian Air Quality Forecast Model: GEM-MACH15 Michael Moran 1, Donald Talbot 2, Sylvain Ménard 2, Véronique Bouchet 1, Paul Makar 1,
Annual Simulations of Models-3/CMAQ: Issues and Lessons Learned Pat Dolwick, Carey Jang, Norm Possiel, Brian Timin, Joe Tikvart Air Quality Modeling Group.
U.S.-Canada Air Quality Agreement: Transboundary PM Science Assessment Report to the Air Quality Committee June, 2004.
Development of MSC Regional PM Air Quality Model: AURAMS Mike Moran, Wanmin Gong, Paul Makar, Ashu Dastoor, Sunling Gong, and Balbir Pabla Air Quality.
Modeling of Ammonia and PM 2.5 Concentrations Associated with Emissions from Agriculture Megan Gore, D.Q. Tong, V.P. Aneja, and M. Houyoux Department of.
Preliminary Study: Direct and Emission-Induced Effects of Global Climate Change on Regional Ozone and Fine Particulate Matter K. Manomaiphiboon 1 *, A.
Application and assessment of Canadian air quality models in Quebec Region Project team: Gilles Morneau Nedka Pentcheva Jeff Brook Véronique Bouchet/Louis-Philippe.
PNR Air Quality Science (PAQS) What we did with our money and yours…
GEM/AQ Simulations on Intercontinental Transports Science and Technology Branch Environment Canada.
PM Model Performance & Grid Resolution Kirk Baker Midwest Regional Planning Organization November 2003.
Operational Evaluation and Comparison of CMAQ and REMSAD- An Annual Simulation Brian Timin, Carey Jang, Pat Dolwick, Norm Possiel, Tom Braverman USEPA/OAQPS.
The Canadian Approach To Compiling Emission Projections Marc Deslauriers Environment Canada Pollution Data Division Science and Technology Branch Projections.
Smog/Acid Rain Mid Term Review October 25-27, 2004.
A Comparative Performance Evaluation of the AURAMS and CMAQ Air Quality Modelling Systems Steven C. Smyth, Weimin Jiang, Helmut Roth, and Fuquan Yang ICPET,
Applications of Models-3 in Coastal Areas of Canada M. Lepage, J.W. Boulton, X. Qiu and M. Gauthier RWDI AIR Inc. C. di Cenzo Environment Canada, P&YR.
William G. Benjey* Physical Scientist NOAA Air Resources Laboratory Atmospheric Sciences Modeling Division Research Triangle Park, NC Fifth Annual CMAS.
GEOS-CHEM Modeling for Boundary Conditions and Natural Background James W. Boylan Georgia Department of Natural Resources - VISTAS National RPO Modeling.
11 September 2015 On the role of measurements and modelling in Dutch air quality policies Guus Velders The Netherlands (RIVM)
THE MODELS-3 COMMUNITY MULTI- SCALE AIR QUALITY (CMAQ) MODEL: 2002 RELEASE – NEW FEATURES Jonathan Pleim, Francis Binkowski, Robin Dennis, Brian Eder,
DEVELOPMENT AND APPLICATION OF MADRID: A NEW AEROSOL MODULE IN MODELS-3/CMAQ Yang Zhang*, Betty Pun, Krish Vijayaraghavan, Shiang-Yuh Wu and Christian.
Extending Size-Dependent Composition to the Modal Approach: A Case Study with Sea Salt Aerosol Uma Shankar and Rohit Mathur The University of North Carolina.
The Canadian Air Quality Modelling Platform for Policy Emission Reduction Scenarios: Year 2010 Configuration Presented by Sophie Cousineau on behalf of.
A ir Quality Research Branch Meteorological Service of Canada Environment Environnement Canada Performance Evaluation of AURAMS for Multiple Cases Michael.
Georgia Institute of Technology SAMI Aerosol Modeling: Performance Evaluation & Future Year Simulations Talat Odman Georgia Institute of Technology SAMI.
Georgia Institute of Technology SUPPORTING INTEX THROUGH INTEGRATED ANALYSIS OF SATELLITE AND SUB-ORBITAL MEASUREMENTS WITH GLOBAL AND REGIONAL 3-D MODELS:
W. T. Hutzell 1, G. Pouliot 2, and D. J. Luecken 1 1 Atmospheric Modeling Division, U. S. Environmental Protection Agency 2 Atmospheric Sciences Modeling.
MRPO Technical Approach “Nearer” Term Overview For: Emissions Modeling Meteorological Modeling Photochemical Modeling & Domain Model Performance Evaluation.
Sensitivity of PM 2.5 Species to Emissions in the Southeast Sun-Kyoung Park and Armistead G. Russell Georgia Institute of Technology Sensitivity of PM.
Although this work was reviewed by EPA and approved for publication, it may not necessarily reflect official Agency policy Jonathan Pleim, Shawn Roselle,
The application of Models-3 in national policy Samantha Baker Air and Environment Quality Division, Defra.
Mobile Source Contributions to Ambient PM2.5 and Ozone in 2025
Development of a Multipollutant Version of the Community Multiscale Air Quality (CMAQ) Modeling System Shawn Roselle, Deborah Luecken, William Hutzell,
Changes to the Multi-Pollutant version in the CMAQ 4.7
Impact on Recent North American Air Quality Forecasts of Replacing a Retrospective U.S. Emissions Inventory with a Projected Inventory Michael Moran1,
Junhua Zhang and Wanmin Gong
M. Samaali, M. Sassi, V. Bouchet
Steve Griffiths, Rob Lennard and Paul Sutton* (*RWE npower)
Overview of Canada’s Air Quality Activities
Joanna Struzewska Warsaw University of Technology
Michael Moran Air Quality Research Branch
Measurement Needs for AQ Models
Presentation transcript:

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Air Quality Modelling Applications Louis-Philippe Crevier With contributions from: Sophie Cousineau Véronique Bouchet Mourad Sassi Sylvain Ménard Richard Moffet Dave Fox Colin diCenzo Colleen Farrell Gilles Morneau Nedka Pentcheva Hong Lin Mike Moran Paul Makar Air Quality Modelling Applications Division, CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Overview Present AQ modelling applications activities across MSC Identify a few interesting results along the way

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Topics PM Transboundary Transport Assessment Emissions trading study ICARTT support and real time AURAMS runs CHRONOS real time scenarios Regional modelling activities Changes to emissions processing

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 PM Transboundary Transport Assessment Joint modelling effort with US EPA. AURAMS, REMSAD and CMAQ scenarios were used to prepare input for the modelling chapter CMAQ input prepared by PYR using « emissions ON/OFF » scenarios AURAMS: First policy application for AURAMS Tried to evaluate the impact, in 2020, of proposed legislation on ambient concentrations of PM 4 emissions reduction scenarios were analysed using 2 case studies (summer 1995 and winter 1998) Results: The additional legislation provides benefits wrt legislation already in place or coming into effect in the next few years Changes in atmospheric PM in eastern North America in response to changes in PM gaseous precursors are expected to vary strongly by season and in some areas to vary non-proportionally and even non- directionally CMC/ARQI/PYR

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Scenario description ScenarioYearSeason Base Case1995Summer Control Case2010SummerCurrent + already passed legislation Control Case2020Summer Policy Case2010SummerAdditional set of policies on top of Control Case (e.g. Clear Skies) Policy Case2020Summer Base Case1998Winter Control Case2010Winter Control Case2020Winter Policy Case2010Winter Policy Case2020Winter * * * * CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 July 8-18 Feb PM 2.5 SO 4 PM 2.5 NO 3 PM 2.5 NH P B Scenario “Deltas” for SO2 and NOx Emission Reductions, July 1995 & Feb Cases (AURAMS) CMC/ARQI Example AURAMS input to PM Assessment

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Evaluation of Emissions Trading scenarios Work under Ozone Annex involving NRCan, MSC, EPS and EPA Goal: Assuming a cap-and-trade system for the EGU sector existed in Canada, evaluate the potential impacts of different configurations of the system e.g. cross-border trading vs no cross-border trading A new Canadian module for the Integrated Planning Model (IPM) was created and is used to predict the impact of regulations and market pressures on the electric generation sector until 2020 CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Integrated Planning Model Simulates the EGU sector and the different market constraints it is subjected to i.e. fuel prices, environmental regulations, plant maintenance, energy demand vs capacity Allows for fuel switching, installation of abatement technology, plant shut-down, plant construction and trading of emissions allowances 2. Evaluate constraints for each plant 3. Determine best course of action for each plant 4. Create new generation capacity, if required 1. Calculate energy demand and capacity for next model year IPM calculates NOx and SO2 emissions for each plant. A post processing is required to get other emissions. CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Planned AURAMS runs 2 trading scenarios to evaluate No cross-border trading Cross-border trading allowed AURAMS East 42 km configuration will be used with same episodes as in PM Assessment Winter and summer cases in years 2010 and 2020 will be evaluated Once East is done AURAMS West 21 km config will be used to evaluate impact on BC and Prairies CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Current Status of IPM runs ScenarioYearSeasonStatus Base Case1995Summerrunning Base Case1998Winterrunning Cross-border2010Summerready to run 2020Winter 2010Summer 2020Winter No cross-border2010SummerWaiting for IPM emissions 2020Winter 2010Summer 2020Winter CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Example EGU emissions for two scenarios CMC 23% SO 2 emissions reduction for « No cross-border trading » 27% NO x emissions reduction for « No cross-border trading »

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Real-time & Ensemble Forecasts Daily run of AURAMS: 48h forecast at 42 km over East Domain 48h forecast at 21 km over West Domain (almost ready) Western forecasts with AURAMS being set-up: For PYR and PNR regional offices Preparation for Prairie 2005 For ensemble forecast [ UBC project (R. Stull, L. DeRelle) ] CMC/ARQI/PYR/PNR

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 CMC modelling support for ICARTT AURAMS 1 48h forecast every day CHRONOS 2 48h forecasts every day 00 UTC: same as operational forecast, more outputs 12 UTC: experimental ground-level ozone assimilation Special set of forward/back trajectories made available 4 times per day Products were timely, robust and proved useful Similar set-up is being constructed for Prairie 2005 CMC/AQRB/ATL

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Field Campaign Support (ICARTT / PRAIRIE 2005) GEM 2.5 km output Trajectories AURAMS output CMC/AQRB/ATL

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 AURAMS/CHRONOS Performances GridTimestepTIME (on IBM, 1 node, 8 CPUs) AURAMS EAST (42 km res) 85x105x28900s2h30 / 24h AURAMS WEST (21 km res) 148x124x28900s6h / 24h AURAMS CONT (42 km res) 155x101x28900s4h30 / 24h CHRONOS CONT (21 km res) 350x250x241h2h45 / 48h Nonetheless, during ICARTT, AURAMS 00 UTC 48h forecast was typically available by 8 EDT CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada CHRONOS operational version (public) 1 run/day (00Z), 48h forecast, continental domain, 21km spatial res, no data assimilation, predicts O3, PM2.5 mass, PM10 mass CHRONOS experimental version (ICARTT) 2 runs/day (00Z and 12Z), 48h forecast, continental domain, 21 km spatial res, assimilation of surface O3 data, predicts O3, PM2.5 mass, PM10 mass, some speciated information in <2.5  m CHRONOS real-time scenarios (MSC) 7 runs/day (00z), 24h forecast, continental domain, 21km spatial res, no data assimilation On/Off runs for different regions CHRONOS Applications CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 CHRONOS Real Time Scenario Runs Objective Experiment with real-time applications to support CWS implementation Current set-up Evaluation for both ozone and PM2.5 (starting in 2003) Comparison based CWS standard exceedances 7 CHRONOS scenarios are run everyday with different emissions reductions (anthropogenic emissions turned off for specific regions) Conclusions: Real-time scenarios are feasible and maintainable We are ready for more subtle emissions reductions scenarios CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 CMC # of days exceeding ozone CWS for modelled ozone June 1 st to Sept. 30 th 2003 Preliminary results for 2004 are comparable

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 CMC # of days exceeding PM 2.5 CWS for modelled ozone June 1 st to Sept. 30 th 2003 Preliminary results for 2004 are comparable

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Pacific and Yukon Improve understanding of role of ammonia in chemistry and sea salt (G&Cs). A/Q ensemble experiments (with UBC). Add AURAMS and CHRONOS output to the ensemble. Impacts of AQ on visibility and lines of sight straddling the border (CMAQ application). Daily real-time CMAQ runs (UBC, regular model exercise increases understanding of transboundary flows). Upgrade CMAQ and SMOKE software of UBC AQ modelling system. Various emission scenarios (e.g. marine vessel emissions) runs and sensitivity tests using CMAQ on the NW- AIRQUEST domain. PYR

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Ontario Region Modelling activities AURAMS application, focus on Great Lake area to support airshed characterization (BAQS) Collaborating with Paul Makar to prepare set-up for AURAMS run in support of SwOn/SeMi 2006 CHRONOS evaluation for 2003 for specific Ontario sites is underway Ontario

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Accounting for transboundary flow (GDAD of CWS) Three scenarios are run with AURAMS All anthropogenic sources (A) Sources within the jurisdiction set to zero (B) Sources outside the jurisdiction set to zero (C) Total concentration = Local + transboundary + background Local (jurisdiction) component: A - B Transboundary component: A - C Background: B + C - A Quebec

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Results for Trois-Rivieres (URS) Quebec

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Atlantic Region Evaluate Canadian contributions to local air quality problem. Ran CHRONOS for a widespread ozone episode from June Re-ran CHRONOS with all the Canadian emissions turned off, subtracted the difference to get the contribution from Canadian emission sources Compared the results with the measurements. Notes Although there were some sites with elevated PM, the selected period was not much of a PM episode. Using CHRONOS/AURAMS with the same grid and configuration that Quebec region uses. Preliminary conclusions: On good air quality days with respect to ozone, the % contribution from local sources is greater than from the US. On a bad AQ day wrt ozone, the contribution from the US is greater. Local contributions appear to be greater for PM than for ozone, although a case which was a worse PM episode may show something different. Atlantic

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Canadian Contribution to PM at Sydney Atlantic

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 PNR Annual CMAQ Model Run (2002) Objectives Transboundary Transport – CAN/US, Provincial Provincial Sulphur and Nitrogen Budgets Regional Acid Deposition Future Emission Scenarios Status MM5 runs on Coarse Domain (Completed) Preparation of Emission Inputs (Ongoing) CMAQ runs on Coarse Domain (Start in Nov. 2004)

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October km 12km 4km Coarse Domain Northern Domain AB-SK Domain Oil Sands Edm-Calg PNR CMAQ Modelling Domains PNR

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 PNR Support Projects 4km Area and Mobile Emissions (Completed) Gridded Agricultural Activity Data (Completed) Northern Emissions (Ongoing) Projected AB emissions for year 2010 (Ongoing) Improving Biogenic Emissions by using the Canadian National Forest Inventory (Ongoing) PNR

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 The SMOKE emissions processor is in the process of being adapted for MSC AQ models Impacts: More control on emissions data Quicker turn-around for emissions inventory QA/QC Still limited by data availability (year 2000 inventory) Status: Official SMOKE release (2.1) with PS capability Initial ADOM-II speciation files for SMOKE is ready All components of SMOKE are working except biogenic emissions The first version is currently being tested with AURAMS & CHRONOS CMC/ARQI/PNR/NRC Adaptation of SMOKE for MSC Models * Collaboration with Weimin Jiang’s group at NRC, with AQRB scientists (Moran, Makar) and Dave Fox (EC PNR)

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 SMOKE Emissions – Western Domain NH 3 area emissions (g/s) – summer – 22 GMT, resolution : 5km NO mobile emissions (g/s) – summer - 22 GMT, resolution: 5km CMC/ARQI/PNR/NRC Based on PNR 4 km emissions inventory

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Summary AURAMS has started to be used in policy applications Modelling groups are collaborating and exchanging data (common grids, common inventories) Modelling infrastructures for real-time applications is getting more and more robust

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Canadian Contribution to Ozone at Sydney Atlantic

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Model configurations Emissions offEmissions on Base caseNoneAll sources Scenario 1B.C. anth. sourcesBiogenics + all anth. sources Scenario 2Prairie anth. SourcesBiogenics + all anth. sources Scenario 3Atlantic anth. SourcesBiogenics + all anth. sources Scenario 4U.S. anth. SourcesBiogenics + all anth. sources Scenario 5Ontario anth. SourcesBiogenics + all anth. sources Scenario 6Quebec anth. SourcesBiogenics + all anth. sources CMC

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Ozone annex commitments ( ): Canada PEMA: NO x -44% VOC -20% Ontario: NO x -45% VOC -45% USA PEMA: NO x -36% VOC -38% Quebec Emissions reduction scenarios (mobile sources and ozone annex) NO x (tonnes per year) VOC (tonnes per year)

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 Nb hours of ozone exceedance (> 82 ppb) x Nb grid points (grid 21km covering eastern Ontario and Quebec). Scenarios Period Base case (1995)Mobile reductionsMobile +NO x /VOC AURAMSCHRONOSAURAMSCHRONOSAURAMSCHRONOS July June July-4 August NOTE: AURAMS concentrations higher than CHRONOS due to bug in the model (corrected now) Quebec Results

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 CHRONOS (Pudykiewicz et al, Tellus, 1997) Regional in scale, run on continental grid Tri-dimensional, limited area, Eulerian air quality model 21km spatial res. up to 6 km (24 vertical levels) Off line model: Met driver: GEM Emission processor: CEPS Multi-pollutants model: Oxidants: ADOM-II gas phase mechanism, SOA formation (Pandis, 1992) Particles: sectional method (2 bins – PM2.5, PMc), 4 species, (aerosol dynamics limited to sedimentation, sulfate from gas-phase only) Het. Chem: bulk treatment (hetv, based on ISORROPIA – Nenes et al., 1998) Aqueous phase chem: none Emissions: PM2.5 and PMc are assumed to be bulk, no speciation, no further size desaggregation Dynamical & Physical processes Advection: Semi-Lagrangian, non-oscillatory Diffusion: vertical diffusion coef from GEM Convextive mixing: none Cloud process: effect on photolysis rates Dry deposition: simple resistance method Wet deposition: simple (based on LWC & Sundqvist formulae)

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 AURAMS Regional in scale, run on eastern & western grids 42 km spatial res. up to 18 km (28 vertical levels) Off line model: Met driver: GEM & GEM-LAM Emission processor: CEPS Multi-pollutants model: SOA formation (Odum, 1996) Particles: sectional method (12 bins, 0.01 to  m), 8 species (SO4=, NO3-, NH4+, OC, EC, Sea-salt, CM & aerosol-bound water) Aerosol dynamics: nucl., cond., coag., sedimentation – from CAM (Gong, 2002) Het. Chem: bulk treatment (HETv/ISORROPIA updated), redistribution from Fuchs and Sutugin equation (Na/Cl in development) Aqueous phase chem: based on ADOM mechanism with explicit particle activation Emissions: PM2.5 & PMc disaggregated into 7/12 sizes by primary source type Dynamical & Physical processes Advection: mass conservation Effect of convective mixing: in development Cloud process: effect on photolysis rates, aerosol activation (Jones, 1994), droplet scavenging of intersticial aerosols Dry deposition: new resistance method for gases and size-segregated particles (Zhang, 2001, 2002) Wet deposition: cloud to rain conversion, precipitation scavenging, evaporation

Air Quality Modelling Applications Canadian Meteorological Centre Meteorological Service of Canada Smog / Acid Rain Mid-term Review - October 2004 AURAMS wet processes and mass consistency Activation/nucleation scavenging of aerosols and cloud droplet spectrum (CCN -> cloud droplets); Aqueous-phase chemistry: including mass transfer of SO2, O3, H2O2, ROOH, HNO3, NH3 and CO2 and oxidation of S(IV) to S(VI) by O3, H2O2, ROOH, and O2 (in the presence of trace metals, e.g., Fe and Mg); vectorized Young & Boris hybrid predictor-corrector algorithm; non-equilibrium mass transfer integrated with the aqueous-phase oxidation reactions; aerosol growth; Rain production and tracer transfer from cloud drops to rain water: use of cloud-to-rain conversion rate (from met model); Size-resolved scavenging of aerosol particles by precipitation (liquid and solid), based on Slinn and Slinn (1981); Irreversible and reversible (equilibrium) scavenging of soluble gases by precipitation (liquid); Scavenging of soluble gases (HNO3 and NH3 only) by snow/ice, analogy to riming; Release of tracer precipitation evaporation.