CAM-Chem and hemispheric transport of ozone and PAN Chemistry-Climate Working Group 15 th Annual CCSM Workshop, Breckenridge, CO June 29, 2010 Arlene M.

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Presentation transcript:

CAM-Chem and hemispheric transport of ozone and PAN Chemistry-Climate Working Group 15 th Annual CCSM Workshop, Breckenridge, CO June 29, 2010 Arlene M. Fiore Acknowledgments: Larry Horowitz, Vaishali Naik (NOAA GFDL) Emily Fischer, Dan Jaffe (U WA) Johannes Stähelin, Shubha Pandey (ETH Zϋrich) TF HTAP Modeling Team GFDL Atmospheric Model Development Team

Multi-model effort to quantify & assess uncertainties in N. mid-latitude hemispheric O 3 transport BASE SIMULATION (21 models):  horizontal resolution of 5°x5° or finer  2001 meteorology  each group’s best estimate for 2001 emissions  methane set to 1760 ppb SENSITIVITY SIMULATIONS (13-18 models):  -20% regional anthrop. NO x, CO, NMVOC emissions, individually + all together (=16 simulations) CASTNet EMEP EANET Task Force on Hemispheric Transport of Air Pollution (TF HTAP) to inform policy negotiations under CLRTAP

Models differ in estimates of surface O 3 response to foreign emission changes… which are most accurate? Fiore et al., JGR, 2009 O 3 decrease from -20% foreign anthropogenic NO x +CO+NMVOC emissions Over NA Over EU  No obvious correlation of strength of foreign influence with individual model biases relative to O 3 observations [Fiore et al., JGR, 2009; Reidmiller et al., ACP 2009;Jonson et al, ACPD 2010 ]  Generally not due to model differences in anthropogenic emissions (one exception)

Sensitivity of exported EU O 3 to large spread in EU NMVOC inventories (anthrop. NO x fairly similar across models) EU Anthrop. NMVOC Emissions (Tg C) Annual mean surface O 3 decrease over NA (ppb) from 20% decreases in anthrop. EU NMVOC Fiore et al., JGR, 2009 Individual models CAM-Chem MOZART2 (GFDL)

PAN: A more sensitive indicator of emission changes? [ Jaffe et al., Fall AGU, 2007 ] 5 mountain sites with multi-year observed PAN (and some NOy) No obs in 2001 (year used by models) Standard deviation Individual models CAM-Chem MOZART-2 (GFDL)

Model differences in relative contributions of source regions to PAN at Mount Bachelor, Oregon, USA 4 example HTAP models sampled at Mount Bachelor MOZART Model fraction of PAN from source region EU NA EA SA CAM-Chem Individual HTAP models EA/EU PAN influence correlates with EA/EU AVOC emissions More EA influence More EU influence Model EA_PAN/EU_PAN Mount Bachelor, April: r 2 =0.85 Model EA_AVOC/EU AVOC CAM-Chem MOZART2 (GFDL)

Model differences in relative contributions of source regions to PAN at Jungfraujoch, Switzerland Model fraction of PAN from source region EU NA EA SA example HTAP models sampled at Jungfraujoch MOZARTCAM-Chem Jungfraujoch, APRIL: r 2 =0.40 Wide range of EU NMVOC inventory contributes to model discrepancies. Constraints from observations? More EU influence More NA influence CAM-Chem MOZART2

HTAP multi-model sets of experiments: Analysis ongoing Source-Receptor (SR), -20% anthrop. emissions within HTAP regions (EA, EU, NA, SA, + global), year NOx, CO, NMVOC, CH 4, aerosols, Hg, POPs -- AEROCOM: zero out anthrop., dust, biomass burning Idealized Tracers (TP), 25d lifetime, insoluble and soluble Event Simulations (ES), June-Sept 2004 to evaluate with ICARTT observations Future Emissions (FE), 2030 MESSAGE 8.5 and 2050 IMAGE 2.6 Future Climate (FC), 2100 A2 climate TF HTAP, 2007 HTAP 2010 report in prep Sanderson et al., GRL, 2008; Shindell et al., ACP, 2008; Fiore et al., JGR, 2009, Reidmiller et al. ACP, 2009 ; Casper Anenberg et al., ES&T, 2009; Jonson et al., ACPD,2010

Status of GFDL CM3 contributions to ACC-MIP Emissions/Configuration RCP 2.6C1C RCP 4.5CC1C RCP 8.5C1C Year 2000 emissions/ RCP 8.5 SSTs & GHGs CC Emissions/ Configuration Emissions and SSTs/GHGs for given year C*11C11 1 Year 2000 emissions/ 1850 SSTs & GHGs C FUTURE HISTORICAL COMPLETED Others TBD. (1860)

Status of GFDL CM3 contributions to IPCC-AR5