Supplement of Atmos. Chem. Phys., 14, 9379–9402, 2014 http://www.atmos-chem-phys.net/14/9379/2014/ doi:10.5194/acp-14-9379-2014-supplement © Author(s) 2014. CC Attribution 3.0 License. Supplement of Will the role of intercontinental transport change in a changing climate? T. Glotfelty et al. Correspondence to: Y. Zhang ([email protected]) OIN OC BC SO2 and SO42- BB AT BB AT BB 1.19 0.58 1.12 0.52 1.19 1.16 1.05 0.62 0.03 0.26 BB AG AT BB AT NH3 CRES NOx, and NO3 N2O CH4 CO XYL AACD TOL OLE and IOLE ETH HC KET ETOH and MEOH ETHA FORM 1.19 0.66 0.31 1.19 0.66 1.44 0.24 0.66 0.96 0.01 0.39 0.48 0.47 0.24 0.52 1.19 0.66 1.05 0.02 0.66 0.37 0.94 1.19 1.03 1.19 0.97 0.03 0.54 0.03 0.78 0.94 0.04 0.97 1.07 BB BF AT BB BF AT BB BF AT BB BF AT Total BB AT BB BF AT BB BF AT Total BB AT BB AT BB AT BB AT Total BB AT Total ALD2 Canada Source Species 1.05 0.49 0.96 0.67 1.05 1.01 1.42 0.89 0.80 0.25 1.05 0.94 0.26 1.05 0.94 1.68 0.47 0.94 0.97 0.27 0.55 0.47 0.47 0.47 0.67 1.05 0.94 0.86 0.31 0.94 0.35 0.97 1.05 1.03 1.05 0.92 0.72 0.44 0.78 0.39 0.97 0.98 0.89 2.07 USA 0.81 1.70 0.80 0.44 0.81 0.91 1.91 1.34 0.93 1.81 Central America 0.81 1.32 0.56 0.81 1.32 3.68 0.33 1.32 2.38 0.19 0.78 1.07 1.07 0.33 0.44 0.81 1.32 3.22 0.26 1.32 0.65 2.23 0.81 2.61 0.81 2.56 0.50 0.94 0.30 1.82 2.23 1.30 3.36 3.07 1.37 1.01 1.40 0.35 1.37 1.35 1.40 1.23 3.40 7.46 South America 1.37 1.16 0.55 1.37 1.16 3.40 1.05 1.16 2.20 0.74 0.69 3.22 3.13 1.05 0.35 1.37 1.16 2.96 1.00 1.16 0.67 2.02 1.37 2.32 1.37 2.25 1.83 1.05 2.13 3.87 2.02 1.50 3.62 4.07 Table S1. Emissions Growth Factors for the Year 2050 1.72 2.99 0.98 1.58 1.72 0.76 2.27 0.16 1.17 7.26 North Africa 1.72 0.30 4.03 1.72 0.30 7.45 0.44 0.30 4.68 0.31 0.18 1.38 1.37 0.44 1.58 1.72 0.30 5.15 0.38 0.30 4.12 4.10 1.72 4.27 1.72 4.49 0.71 3.82 0.75 1.97 4.10 1.23 9.17 5.07 0.78 0.93 0.79 0.26 0.78 0.82 2.99 1.67 1.15 9.09 West Africa 0.78 1.45 3.58 0.78 1.45 12.65 0.42 1.45 7.97 0.26 0.86 3.21 3.07 0.42 0.26 0.78 1.45 12.38 0.36 1.45 3.82 3.71 0.78 5.91 0.78 5.84 0.62 1.82 0.72 4.86 3.71 0.47 6.72 6.07 1.30 1.97 1.27 0.90 1.30 1.28 2.21 1.85 1.50 14.81 East Africa 1.30 1.64 7.97 1.30 1.65 20.42 0.55 1.65 10.71 0.32 0.97 9.34 3.20 0.55 0.90 1.30 1.65 14.87 0.44 1.65 8.02 3.27 1.30 5.02 1.30 5.27 0.79 2.19 0.80 1.91 3.27 0.67 8.40 7.07 2 0.40 1.42 0.40 0.40 0.40 0.36 2.80 1.20 0.42 6.87 South Africa 0.40 1.06 2.34 0.40 1.06 6.41 0.18 1.06 3.64 0.10 0.63 5.88 4.20 0.18 0.40 0.40 1.06 4.92 0.14 1.06 2.45 2.29 0.40 2.75 0.40 2.91 0.22 1.72 0.22 9.15 2.29 0.18 5.16 8.07 0.86 0.57 0.72 0.86 0.86 0.79 1.20 0.61 0.64 0.37 OECP Europe 0.86 0.63 0.36 0.86 0.63 1.55 0.37 0.63 1.01 0.21 0.37 0.74 0.74 0.37 0.86 0.86 0.63 1.01 0.24 0.63 0.41 1.00 0.86 1.09 0.86 1.03 0.58 0.53 0.67 0.84 1.00 0.75 1.02 9.07 0.74 1.06 0.75 0.79 0.74 0.58 1.23 0.60 0.85 0.23 Eastern Europe 0.74 0.74 0.43 0.74 0.74 4.79 0.35 0.74 3.54 0.26 0.44 0.89 0.88 0.35 0.79 0.74 0.74 4.40 0.31 0.74 0.47 3.46 0.74 4.11 0.74 4.10 0.57 0.57 0.66 0.42 3.46 0.82 2.58 10.07 1.04 1.63 1.04 2.28 1.04 1.00 1.60 0.37 0.08 0.37 Former USSR 1.04 0.93 0.90 1.04 0.93 5.17 0.24 0.93 3.76 0.03 0.55 1.37 1.36 0.24 2.28 1.04 0.93 5.52 0.04 0.93 0.76 3.53 1.04 4.11 1.04 4.13 0.07 1.10 0.07 2.18 3.53 0.10 2.11 11.07 0.73 1.69 0.51 0.40 0.73 0.48 3.21 0.30 1.15 1.09 Middle East 0.73 0.26 0.85 0.73 0.26 2.48 0.36 0.26 1.54 0.26 0.15 2.31 2.31 0.36 0.40 0.73 0.26 1.39 0.33 0.26 0.90 1.49 0.73 1.58 0.73 1.38 0.59 1.04 0.54 6.99 1.49 1.02 3.84 12.07 1.72 1.88 1.42 0.45 1.72 1.78 1.30 1.04 0.99 3.93 South Asia 1.72 0.93 3.04 1.72 0.93 13.62 0.33 0.93 8.88 0.18 0.55 2.86 1.99 0.33 0.45 1.72 0.93 17.94 0.22 0.93 3.02 3.91 1.72 6.57 1.72 6.72 0.48 1.38 0.39 1.75 3.91 0.89 8.63 13.07 1.00 0.76 0.93 0.52 1.00 0.96 0.76 0.64 0.06 0.89 East Asia 1.00 0.68 0.77 1.00 0.68 7.26 0.11 0.68 4.74 0.02 0.40 2.86 2.49 0.11 0.52 1.00 0.68 9.55 0.02 0.68 0.82 3.32 1.00 4.75 1.00 4.73 0.03 0.81 0.04 1.73 3.32 0.04 2.94 14.07 0.96 1.10 0.96 0.35 0.96 1.01 2.14 0.96 2.36 3.59 Southeast Asia 0.96 0.90 1.10 0.96 0.90 5.88 0.68 0.90 4.21 0.49 0.53 1.40 1.29 0.68 0.35 0.96 0.90 6.87 0.64 0.90 1.22 3.11 0.96 4.22 0.96 4.16 1.26 1.11 1.27 1.86 3.11 1.69 4.80 15.07 1.45 0.85 1.51 0.95 1.45 1.54 0.86 0.74 1.84 0.43 1.45 0.68 0.29 1.45 0.68 1.30 0.64 0.68 0.88 0.39 0.40 0.39 0.39 0.64 0.95 1.45 0.68 0.97 0.52 0.68 0.32 0.87 1.45 0.96 1.45 0.93 0.96 0.46 1.10 1.74 0.87 0.76 1.03 16.07 Oceania 2.13 0.26 1.63 0.33 2.13 1.85 1.96 0.90 6.81 0.26 2.13 0.56 0.49 2.13 0.56 1.61 1.08 0.56 1.24 0.87 0.33 0.67 0.67 1.08 0.33 2.13 0.56 1.22 1.02 0.56 0.53 1.23 2.13 1.29 2.13 1.25 2.56 0.69 3.58 0.44 1.23 2.88 1.01 17.07 Japan for PAR emissions is listed in Table 2 of Zhang et al., (2012). 3 also comprised of some other RADM2 species including HC3, HC5, and HC8 which are referred to as HC in the table and ketone (KET). The equation As a result par emissions are calculated based on several species including those that are mapped to AACD, OLE, IOLE, and ALD2. However, PAR is version 2 (RADM2) format and later mapped to the carbon bond 2005 with global extension (CB05GE) mechanism species as shown in the above table. (AT), or total non-source specific emissions (Total). * The GU-WRF/Chem emissions are generated based on the Regional Acid Deposition Model regions shown and based on the emissions sources. These sources include biomass burning (BB), bio-fuels (BF), agriculture (AG), anthropogenic sources Growth factors applied to base year emissions to generate 2050 projected emissions. The emissions growth factors vary depending on the 17 world Table S1. Table Description GU--WRF/Chem m 2001 (CCS SM) GU-WR RF/Chem AO OC (CCSM) Figure S11. Average spring s (MAM M) 2-m temp perature, 2-m m water vapoor, precipitattion rate, andd planetary bboundary layer heightt fields from m GU-WRF/C Chem simulaations of thee year 2001 ((left) and aveeraged curreent period consisting of o 2001 and 2010 (AOC)) (right). GU U-WRF simuulations are iinitialized w with the CCSM M3 data. 4 Sate ellite/Reanalysis CCCSM3 Figuure S2. The statistically s significant s diifferences in n T2, Q2, SL LP, WSP10, WSP5500, P PR, GSW, O OLR, and GLW W between MAM M AOF and a AOC thaat are greaterr than the vaariability in tthe current cclimate from m reanalysis or saatellite data (left) ( and greeater than the variability y in the curreent and futurre climate froom CCSM3 (right). The GLW W plot in thee bottom row w of the CCS SM3 column was not gennerated sincee the CCSM3 GLW dataa was not readiily availablee. 5 6 Figure S S3. The time evo olution of NO, volatile v organic compound, blacck carbon, organ nic carbon, CO,, SO2, and NH3 emissions in thee GU-WRF/Cheem A1B, RC CP6, and RCP8.5 emission scen narios on a glob bal scale. 7 Figure S S4. The time evo olution of NO, volatile v organic compound, blacck carbon, organ nic carbon, CO,, SO2, and NH3 emissions in thee GU-WRF/Cheem A1B, RC CP6, and RCP8.5 emission scen narios in East Asia. A doi:10.1029/2012JD017966 8 the global-through-urban weather research and forecasting model with chemistry (GU-WRF/Chem), J. Geophys. Res., 117, D20206, Zhang, Y., P. Karamchandani, T. Glotfelty, D. G. Streets, G. Grell, A. Nenes, F. Yu, and R. Bennartz (2012), Development and initial application of Reference
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