On-line Aerosols in the Oslo Version of CAM3: Some shortcomings. Seland,

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Transcription:

On-line Aerosols in the Oslo Version of CAM3: Some shortcomings Trond Iversen,, Alf Kirkevåg, Øyvind Seland, Jon Egill Kristjansson, Trude Storelvmo,, Jens Debernard Norwegian Meteorological Institute and University of Oslo, Norway 12th CCSM Workshop, June 2007

CAM-Oslo extended from CCM-Oslo Basis: NCAR CAM3 extended with aerosol lifecycling, production-tagged composition Particle interactions with radiation Particle interaction with clouds From CCM-Oslo (based on CCM3.2; used in AeroCom B): Sulphur and Black carbon (Iversen and Seland, 2002; Kirkevåg and Iversen, 2002; Kristjansson, 2002; Kristjansson et al., 2005) Particulate organic matter (Kirkevåg et al. 2005) Major change to CCM-Oslo: Lifecycling of sea-salt and mineral aerosols Aitken size category included separatly Numerous different combinations of internal mixing from condensation and coagulation

Size, optical properties and Cloud Condensation Nuclei from precalculated tables Mass/specific extinction coeff. MEC = AOD/[ss-Column] (m 2 /g) RH = 80%

Both pure atmospheric simulations and climate equilibrium calculations coupled to slab ocean. Atmosphere off-line: run for 5 years the last 3 are used for analysis Equilibrium: Up to 50 years simulations with first 10 years regarded as spin-up

Model Evaluation Summary As most aerocom-models or better when compared to most standard observations at ground level, a few aircraft campaigns (all in Pacific Ocean) Modis and MISR Satellite and aeronet retrievals of AOD and Angstrom parameter Lidar vertical profiles Some important concerns: Underestimations in tropical biomass burning regions Wintertime Arctic haze underestimated Very few particles in some remote regions (Pacific) ( error?) Slightly positive direct aerosol forcing; practically unsensitive to many uncertain assumptions Indirect effects almost cancel 1.63xCO2-warming

Total Aerosol Optical Depth, τ 550 CAM-Oslo 0.137 MODIS AeroCom, Median 0.118

AOD (τ 550 ), anthrop. SO4, OC and BC Increment from Pre-industrial to aerocomb (2000) (B Pre) CAM-Oslo 0.031

CCM-Oslo Sea-salt and dust prescribed DRF (Wm -2 ) due to anthrop. SO4, OC and BC (aerocomb Pre) CAM-Oslo TOA (-0.012) TOA (0.036) Surface (-0.84) Surface (-1.12)

Cloud droplet number concentrations, CDNC (cm -3 ) CCM-Oslo (Aerocom B) CAM-Oslo (Aerocom B) η = 0.87 115 cm -3 (82 in Pre) 118 cm -3 (51 in Pre) below ca. 870 hpa CAM3, prescribed CAM-Oslo, Diagnostic Observations (Seinfeld and Pandis, 1997; Ghan et al., 1997) Marine ~ 150 ~ 75 (sea-ice) ~5-200 ~ 20-200 Continental ~ 200-400 ~ 20-1000 ~ 100-1000

Δ T 2m ( C) 1.63 x CO 2 vs. anthropogenic aerosols Bco2-B: 1.97 C B-Pre -1.93 C Δ Precipitation (%) Bco2-B: 3.8% B-Pre: -5.5% -0.002

STD CDNC STD CDNC + 15 cm-3

What s missing? Improved cloud droplet budgets Storelvmo et al (2006), based on droplet scheme of Ghan and Abdul-Raszak et al, reduced indirect effect from -1.1 to -0.1 W m -2 Ice-cloud effects Nitrate aerosols Primary aerosols: Non-desert, dust-producing areas underestimated No primary biological particles

Thank You

Aerosol optical depth and direct radiative forcing: Exp. AOD (B) AOD (B) SO4 AOD (B) POM AOD (B) BC AOD (B) Seasalt AOD (B) Dust DRF (B-Pre) (W/m 2 ) Surface TOA, E1 0.138 0.0238 0.0217 0.0018 0.0704 0.0203-1.13 0.036 E2 0.136 0.0205 0.0222 0.0018 0.0706 0.0206-1.15 0.080 E3 0.107 0.0244 0.0224 0.0019 0.0375 0.0205-1.15 0.027 E4 0.140 0.0248 0.0212 0.0018 0.0716 0.0203-1.12 0.027 E1: Base run E2: 75nm SO4 primary acc. mode H2SO4 gas E3: standard Aerocom sea-salt E4: 0.1% ss_coarse re-allocated to ss_aitken

Acknowledgement and references Acknowledgement The project is financed by the Norwegian Research Council through the project AerOzClim The project has received support from NRC through a grant of computing time References Kirkevåg et al (2005) Dep. Of Geosciences institute report No 128 Iversen and Seland(2002) JGR 107 D24 4751; Mårtensson et al (2003) JGR 108 D9 2397 Ogren and Charlson (1983) Tellus 35B 241-254 Seinfeld and Pandis (1998) Atmospheric Chemistry and Physics. From air pollution to climate change Stier et al (2005) ACP 5, 1125-1156 Textor et al. (2005) ACP 5 8331-8420;

Lognormal externally mixed modes (Primary Background ) Basis for Condensation and Coagulation modes For internal mixtures involving Sulfate, OC and BC: SO 4 from condensation SO 4 from cloud processing BC from coagulation OC from coagulation modal median radius (μm) SO 4 (n), BC(n) 0.0118 OC(Ait) 0.04 BC(ac) 0.1 ( fluffy fractal) BC(Ait) 0.04 OCBC(Ait) 0.04 SO4(ac) 0.075 MINERAL 0.22, 0.63 SEA-SALT SALT 0.022, 0.13, 0.76 onto mode all pre-existing particles (ex. BC(ac) ) min. & ss. & Ait & a modes min. & ss. modes min. & ss. modes These processes, the optical properties, and the Kohler growth Are tabulated in CAM3, based on process specific aerosol concentrations

Total mass concentrations / ppm(mass) Lowest model surface

Total number concentrations / cm -3 Lowest model surface

CAM-Oslo - Aerosol lifecycle schematic OH+DMS gases Q(SO2) Q(SO4) SO2 Gas-phase SO4(ga) Wet-phase emission nucleation condensation coagulation cloud droplets Nucleation Aitken Accumulation Coarse Sulphate SO4(n) SO4(a) SO4(ac) SO4(aq) BC Q(BC)ff BC(n) SO4/BC(a) SO4 BC(ac) OM OM/BC Q(OM)ff Q(OM)bb Q(BC)bb OM(a) SO4/OM/BC(a) OM/BC(a) SO4/OM/BC(ac) SS/SO4/OM/BC(ac) (c) DU/SO4/OM/BC(ac) (c) Seasalt Q(ss) SO4 SS(a) SO4 SS(ac) SO4SS(c) Mineral dust Q(du) SO4 DU(ac) SO4 DU(c)