| 5.4.1.3 Comparison of modelled and observed aerosol concentrationsLike previous model intercomparisons, the IPCC comparison showed large differences 
  (factor of 2) in model predictions of the vertical distribution of aerosols. 
  The model simulations of surface sulphate concentrations (Figure 
  5.8) indicate that much of the difference in sulphate radiative forcing 
  reported in the literature is most likely to be associated with either variations 
  in the vertical distribution or with the response of sulphate aerosols to variations 
  in relative humidity (Penner et al., 1998b).  The IPCC comparison showed that the capability of models to simulate other 
  aerosol components is inferior to their capability to simulate sulphate aerosol. 
  For example, sea salt in the North and South Pacific shows poorer agreement, 
  with an average absoute error of 8 mgm-3 (Figure 5.9) than 
  the corresponding sulphate comparison which is less than 1 mgm-3 (Figure 
  5.8) (see Table 5.9 also). 
   
    | 
 Figure 5.8: Observed and model-predicted annual average concentrations 
        of non-sea salt sulphate (in µgm -3 ) at a series of 
        stations in the North and South Atlantic. The models are listed in Table 
        5.8. Data were provided by D. Savoie and J. Prospero (University of 
        Miami). Stations refer to: Heimaey, Iceland (HEI); Mace Head, Ireland 
        (MAH); Bermuda (BER); Izania (IZO); Miami, Florida (RMA); Ragged Point, 
        Barbados (BAR); Cape Point, South Africa (CPT); King George Island (KGI); 
        and Palmer Station, Antarctica (PAL). | 
 Figure 5.9: Observed and model-predicted annual average concentrations 
        of sea salt (as Na) (in µgm-3) at a series of stations in the North 
        and South Pacific. The models are listed in Table 
        5.8. Data were provided by D. Savoie and J. Prospero (University of 
        Miami). Stations refer to: Cheju, Korea (CHE); Hedo, Okinawa, Japan (HOK); 
        Midway Island (MID); Oahu, Hawaii (OHU); Fanning Island (FAN); American 
        Samoa(ASM); Norfolk Island (NOR); Cape Grim, Tasmania (CGR); and Wellington/Baring 
        Head, New Zealand (WEL). |  For dust the model-observation comparison showed a better agreement with surface 
  observations in the Northern than in the Southern Hemisphere. For example, the 
  average absolute error in the Northern Pacific was 179%, while it was 268% in 
  the Southern Pacific. In the Southern Hemisphere, almost all models predict 
  concentrations higher than the observations at all stations poleward of 22°S. 
  Thus, it appears that dust mobilisation estimates may be too high, particularly 
  those for Australia and South America. The paucity of dust from these regions 
  relative to other arid dust source areas has been noted previously (Prospero 
  et al., 1989; Tegen and Fung, 1994; Rea, 1994), and may reflect the relative 
  tectonic stability, low weathering rates, duration of land-surface exposure, 
  and low human impacts in this area. 
   
    | Table 5.9a: Comparison of models and observations 
      of aerosol species at selected surface locations ( µg/m3)a,b. |   
    |  |   
    | Model | Sulphate | Black carbon | Organic carbon | Dust | Sea salt |   
    | Average bias
 (µg/m3)
 | Average absolute
 error
 (µg/m3)
 | Average bias
 (µg/m3)
 | Average absolute
 error
 (µg/m3)
 | Average bias
 (µg/m3)
 | Average absolute
 error
 (µg/m3)
 | Average bias
 (µg/m3)
 | Average absolute
 error
 (µg/m3)
 | Average bias
 (µg/m3)
 | Average absolute
 error
 (µg/m3)
 |   
    |  |   
    | GISS | 0.15 | 0.33 | 0.16 | 0.61 | 0.69 | 1.52 | 5.37 | 5.37 | 3.90 | 11.94 |   
    | GSFC | -0.10 | 0.28 | 0.71 | 1.00 | 0.71 | 1.57 | -0.5 | 1.98 | -3.02 | 9.23 |   
    | Hadley | -0.54 | 0.55 | 0.74 | 1.18 |  |  | -2.47 | 3.48 |  |  |   
    | CCM/Grantour | -0.31 | 0.40 | -0.18 | 0.50 | -0.84 | 1.20 | 1.77 | 2.99 | 5.26 | 14.48 |   
    | ECHAM | 0.09 | 0.42 | 0.74 | 1.07 | 1.52 | 2.09 |  |  |  |  |   
    | Stochem | 0.34 | 0.40 |  |  |  |  |  |  |  |  |   
    | ULAQ | 0.18 | 0.34 | -0.30 | 0.48 | -0.47 | 1.43 | 1.82 | 3.69 | 0.81 | 12.57 |   
    | Mozart | 0.05 | 0.39 | -0.34 | 0.51 |  |  |  |  |  |  |   
    | ECHAM/Grantour | 0.26 | 0.28 | 0.07 | 0.55 | -0.57 | 1.40 | 5.2 | 5.27 | 2.07 | 10.55 |   
    | TM3 | 0.27 | 0.47 |  |  |  |  |  |  |  |  |   
    | PNNL | -0.04 | 0.28 | 0.16 | 0.64 | 0.79 | 1.50 | -2.48 | 2.64 | -13.46 | 13.74 |   
    | Average of all models | 0.03 | 0.38 | 0.20 | 0.73 | 0.26 | 1.53 | 2.73 | 3.86 | -0.74 | 12.09 |   
    |  |   
    
   
 
   
    | Table 5.9b: Comparison of models and observations 
      of aerosol species at selected surface locations (%)a,b. |   
    |  |   
    | Model | Sulphate | Black carbon | Organic carbon | Dust | Sea salt |   
    | Average bias
 (%)
 | Average absolute
 error
 (%)
 | Average bias
 (%)
 | Average absolute
 error
 (%)
 | Average bias
 (%)
 | Average absolute
 error
 (%)
 | Average bias
 (%)
 | Average absolute
 error
 (%)
 | Average bias
 (%)
 | Average absolute
 error
 (%)
 |   
    |  |   
    | GISS | 26 | 31 | 85 | 127 | 91 | 121 | 121 | 121 | 37 | 40 |   
    | GSFC | 7 | 15 | 189 | 219 | 109 | 134 | 39 | 42 | 21 | 30 |   
    | Hadley | -11 | 16 | 140 | 220 |  |  |  |  |  |  |   
    | CCM/Grantour | 1 | 15 | 43 | 111 | 13 | 85 | 78 | 80 | 63 | 68 |   
    | ECHAM | 32 | 35 | 253 | 276 | 276 | 285 |  |  |  |  |   
    | Stochem | 30 | 34 |  |  |  |  |  |  |  |  |   
    | ULAQ | 10 | 17 | -10 | 84 | 23 | 100 | 21 | 35 | 81 | 88 |   
    | Mozart | 28 | 31 | 164 | 211 |  |  |  |  |  |  |   
    | ECHAM/Grantour | 31 | 31 | 204 | 230 | 88 | 135 | 70 | 70 | 29 | 33 |   
    | TM3 | 43 | 46 |  |  |  |  |  |  |  |  |   
    | PNNL | 17 | 21 | 75 | 133 | 189 | 220 |  |  | -12 | 16 |   
    | Average of all models | 19 | 26 | 127 | 179 | 112 | 154 | 66 | 70 | 36 | 46 |   
    |  |   
    
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