1 1 2 Auxiliary Material – Description of the GEOS-Chem model The GEOS-Chem global 3-D chemical transport model [Bey et al., 2001] is used in this 3 study. Version 9-01-03 (http://geos-chem.org) is used here at a horizontal resolution of 4°x5°. 4 The model is described on 47 vertical levels, extending from the surface to 0.1 hPa including 5 approximately 35 levels in the troposphere. 6 GEOS-Chem contains a detailed simulation of HOx-NOx-VOC-O3-aerosol chemistry. 7 The current chemical mechanism in GEOS-Chem includes the most recent JPL/IUPAC 8 recommendations as implemented into GEOS-Chem by Mao et al. [2010]. The stratospheric 9 ozone simulation uses the Linoz algorithm of McLinden et al. [2000]. The global lightning NOx 10 source is 6 Tg N a-1 [Martin et al., 2007] and scaled to match OTD/LIS observations of 11 lightning flashes as implemented in v9-01-03 by Murray et al. [2012]. 12 The model is driven by assimilated meteorological data provided by the Global Modeling 13 and Assimilation Office (GMAO) at NASA Goddard Space Flight Center. GEOS-5 14 meteorological fields for the years 2004-2010 are used here. GEOS-5 employs the relaxed 15 Arakawa-Schubert convective parameterization for shallow and deep moist convection [Moorthi 16 and Suarez, 1992]. Comparisons of mass divergence profiles indicate that the level of maximum 17 convective outflow in GEOS-5 agrees well with observations [Mitovski et al., 2011]. 18 GEOS-Chem has been used in several recent studies of tropospheric ozone [Parrington et 19 al., 2012; Cooper et al., 2011; Nassar et al., 2009]. The O3 simulation has been extensively 20 evaluated against in situ measurements [Nassar et al., 2009; Sauvage et al., 2007; Zhang et al., 21 2010]. The GEOS-Chem fields generally reproduce changes in the tropospheric ozone column 22 associated with El Niño [Chandra et al., 2002, 2003] 23 2 24 References: 25 26 Bey, I., D. J. Jacob, R. M. Yantosca, J. A. Logan, B. Field, A. M. Fiore, Q. Li, H. Liu, L. J. 27 Mickley, and M. Schultz (2001), Global modeling of tropospheric chemistry with assimilated 28 meteorology: Model description and evaluation, J. Geophys. Res., 106, 23,073-23,096. 29 30 Chandra, S., J. R. Ziemke, P. K. Bhartia, and R. V. Martin (2002), Tropical tropospheric ozone: 31 Implications for dynamics and biomass burning, J. Geophys., Res., 107, 32 doi:10.129/2001JD000447 33 34 Chandra et al. (2003), Tropospheric ozone at tropical and middle latitudes derived from 35 TOMS/MLS residual: Comparison with a global model, J. Geophys. Res., 108, doi: 36 10.1029/2002JD002912 37 38 Mao, J. et al. (2010), Chemistry of hydrogen oxide radicals (HOx) in the Arctic troposphere in 39 spring, Atm. Chem. Phys. 10(13), 5823-5838, doi: 10.5194/acp-10-5823-2010. 40 Martin, R.V., B. Sauvage, I. Folkins, C.E. Sioris, C. Boone, P. Bernath, and J.R. Ziemke, Space- 41 based constraints on the production of nitric oxide by lightning, J. Geophys. Res., 112, D09309, 42 doi:10.1029/2006JD007831, 2007. 43 3 44 McLinden, C.A, S. C. Olsen, B. Hannegan, O. Wild, M. J. Prather, J. Sundet (2000), 45 Stratospheric ozone in 3-D models: a simple chemistry and the cross-tropopause flux, J. 46 Geophys. Res., 105, 14653-14665, 2000. 47 48 Mitovski, T., I. Folkins, R. V. Martin, and M. Cooper (2011), Testing convective transport on 49 short timescales: comparisons with mass divergence and ozone anomaly patterns about high rain 50 events, J. Geophys. Res., 117, D02109, doi:10.1029/2011JD016321, 2012. 51 52 Moorthi, S. and M. J. Suarez (1992), Relaxed Arakawa-Schubert, A Parameterization of Moist 53 Convection for General-Circulation Models. Mon. Wea. Rev. 120, 978-1002. 54 55 Murray, L. T., D. J. Jacob, J. A. Logan, R. C. Hudman, and W. J. Koshak (2012), Optimized 56 regional and interannual variability of lightning in a global chemical transport model constrained 57 by LIS/OTD satellite data, J. Geophys. Res., 117, D20307, doi:10.1029/2012JD017934. 58 59 Nassar, R., J. A. Logan, I. A. Megretskaia, L. T. Murray, L. Zhang, and D. B. A. Jones (2009), 60 Analysis of tropical tropospheric ozone, carbon monoxide, and water vapor during the 2006 El 61 Niño using TES observations and the GEOS‐Chem model, J. Geophys. Res., 114, D17304, 62 doi:10.1029/2009JD011760. 63 64 Parrington, M et al (2012), The influence of boreal biomass burning emissions on the distribution 65 of tropospheric ozone over North America and the North Atlantic during 2010, Atm. Chem. Phys. 66 12, 2077-2098, doi:10.5194/acp-12-2077-2012. 4 67 68 Sauvage, B., R. V. Martin, A. van Donkelaar, X. Liu, K. Chance, L. Jaeglé, P. I. Palmer, S. Wu, 69 and T.‐M. Fu (2007b), Remote sensed and in situ constraints on processes affecting tropical 70 tropospheric ozone, Atmos. Chem. Phys., 7, 815–838, doi:10.5194/acp-7-815-2007. 71 72 Zhang, L., D. J. Jacob, X. Liu, J. A. Logan, K. Chance, A. Eldering, and B. R. Bojkov (2010), 73 Intercomparison methods for satellite measurements of atmospheric composition: Application to 74 tropospheric ozone from TES and OMI, Atmos. Chem. Phys. Discuss., 10, 1417–1456, 75 doi:10.5194/acpd-10-1417-2010. 76