CMAQ model as a tool for generating input data for HM and POP modeling 8th TFMM meeting, Dessau, 2007 CMAQ model as a tool for generating input data for HM and POP modeling Alexey Gusev, Victor Shatalov, Oleg Travnikov

CMAQ use to support modeling of HMs and POPs 8th TFMM meeting, Dessau, 2007 CMAQ use to support modeling of HMs and POPs meteorological input Meteorological preprocessor MM5 data on aerosol, reactants, SO2 , etc. CMAQ modeling system MSCE-HM and MSCE-POP models

CMAQ use to support modeling of HMs and POPs 8th TFMM meeting, Dessau, 2007 CMAQ use to support modeling of HMs and POPs Information on specific aerosol surface - input for MSCE- POP model to calculate gas-particle partitioning of POPs Information on OH radical - input for MSCE-POP model to calculate degradation of POPs Information on SO2 , ozone, OH radical – input for MSCE- HM model to calculate Hg chemical transformations Experimental runs and process analysis studies with CMAQ for selected HMs and POPs Experimental runs with finer spatial resolution

Community Multi-scale Air Quality model 8th TFMM meeting, Dessau, 2007 Community Multi-scale Air Quality model Meteorological preprocessor MM5 Emission processor SMOKE CMAQ modeling system: MCIP Meteorological-chemical interface JPROC Photolysis rate processor ICON Initial conditions processor BCON Boundary conditions processor CCTM Chemical-transport model

Community Multi-scale Air Quality model 8th TFMM meeting, Dessau, 2007 Community Multi-scale Air Quality model Horizontal and vertical advection Mass conservation adjustment for advection processes Horizontal and vertical diffusion Aerosol dynamics, thermodynamics, and chemistry Gas-phase chemical reactions Aqueous-phase reactions and cloud mixing Plume-in-grid treatment Photolytic rate computation Process analysis

Emission data sources for CMAQ 8th TFMM meeting, Dessau, 2007 Emission data sources for CMAQ CMAQ was run with following emission data for 2000: SO2, NOx, NH3, NMVOC, CO (anthropogenic) from EMEP database (webdab.emep.int) SO2, NOx, NH3, NMVOC (natural) from GEIA database (www.geiacenter.org) Dust, dimethyl sulfide from AEROCOM (nansen.ipsl.jussieu.fr/AEROCOM) Elemental and organic carbon from University of Illinois (cee.uiuc.edu)

CMAQ modeling results PM10 PM2.5 SO2 Ozone OH radical 8th TFMM meeting, Dessau, 2007 CMAQ modeling results PM10 PM2.5 Aerosol surface area SO2 Ozone OH radical

Comparison with EMEP measurements 8th TFMM meeting, Dessau, 2007 Comparison with EMEP measurements PM10 PM2.5 Mod mean – 13.1 Obs mean – 15.3 Correlation – 0.67 Mod mean – 12.2 Obs mean – 10.7 Correlation – 0.70 Measured and computed by CMAQ annual mean air concentrations of aerosol particles (2000)

Comparison with EMEP measurements: SO2 8th TFMM meeting, Dessau, 2007 Comparison with EMEP measurements: SO2 Measured and computed by CMAQ monthly mean air concentrations of SO2 (2000)

Comparison with EMEP measurements: Ozone 8th TFMM meeting, Dessau, 2007 Comparison with EMEP measurements: Ozone Measured and computed by CMAQ monthly mean air concentrations of Ozone (2000)

Modeling results for SO2 8th TFMM meeting, Dessau, 2007 Modeling results for SO2 CMAQ model MSC-W model Annual mean air concentrations of SO2 obtained by CMAQ model and MSC-W model (2000)

Hemispheric/regional/local modeling 8th TFMM meeting, Dessau, 2007 Hemispheric/regional/local modeling 150x150 km2 Experimental runs of CMAQ for SO2 (Russian Federation project)

Hemispheric/regional/local modeling 8th TFMM meeting, Dessau, 2007 Hemispheric/regional/local modeling 150x150 km2 50x50 km2 Experimental runs of CMAQ for SO2 (Russian Federation project)

Hemispheric/regional/local modeling 8th TFMM meeting, Dessau, 2007 Hemispheric/regional/local modeling 150x150 km2 50x50 km2 17x17 km2 Experimental runs of CMAQ for SO2 (Russian Federation project)

Use of CMAQ results for POP modeling 8th TFMM meeting, Dessau, 2007 Use of CMAQ results for POP modeling OH radical Aerosol surface area This information was used for the description of: POP degradation Gas/particle partitioning of POPs

Use of CMAQ results for POP modeling 8th TFMM meeting, Dessau, 2007 Use of CMAQ results for POP modeling B[a]P air concentrations Comparison of MSCE-POP model with EMEP measurements

Use of CMAQ results for POP modeling 8th TFMM meeting, Dessau, 2007 Use of CMAQ results for POP modeling B[a]P air concentrations The effect of use of detailed information on OH radical and specific aerosol surface

Comparison of MSCE-HM and CMAQ results for Pb and Cd 8th TFMM meeting, Dessau, 2007 Comparison of MSCE-HM and CMAQ results for Pb and Cd MSCE-HM and CMAQ were run with the following information: Same meteorological data for 2000 On the basis of officially submitted emission data Tentative parameterization of HM re-suspension from soil and seawater Measurements of EMEP monitoring network were used for the comparison

MSCE-HM and CMAQ results for Pb 8th TFMM meeting, Dessau, 2007 MSCE-HM and CMAQ results for Pb Annual mean air concentrations(2000) MSCE-HM CMAQ Official data on Lead emission were used

MSCE-HM and CMAQ results for Pb 8th TFMM meeting, Dessau, 2007 MSCE-HM and CMAQ results for Pb Lead in air Lead in precipitation - 40% underestimation of measurement data - Both models tend to underestimate lower concentrations

MSCE-HM and CMAQ results for Cd 8th TFMM meeting, Dessau, 2007 MSCE-HM and CMAQ results for Cd Annual mean air concentrations(2000) MSCE-HM CMAQ Official data on Cadmium emission were used

MSCE-HM and CMAQ results for Cd 8th TFMM meeting, Dessau, 2007 MSCE-HM and CMAQ results for Cd Cadmium in air Cadmium in precipitation - More than 60% underestimation of measurement data - Both models tend to underestimate lower concentrations

8th TFMM meeting, Dessau, 2007 Concluding remarks Results of CMAQ on aerosol and reactants with high spatial and temporal resolution can improve modeling of HMs and POPs MSCE-HM and CMAQ models, run on official emission data for Pb and Cd, demonstrate similar levels of concentrations underestimating measurement data Hemispheric/regional/local modeling with MSC-E models for HMs and POPs can be further developed using experience of CMAQ model