A new bulk cloud microphysics scheme that accounts for aerosol microphysical properties and size distribution is implemented into the single-column version of the ARCSyM, This scheme is distinguished from other bulk microphysics schemes by is prognostic determination of cloud particle number concentration and saturation ratio. The new scheme is compared to a simpler bull, microphysics scheme and observations taken during the FIRE Arctic Clouds Experiment in May 1998. Qualitatively, the two microphysics schemes are generally in agreement with the observed cloud formation and evolution, Comparison with aircraft measurements at 3 times shows that the new scheme better discriminates cloud phase and reproduces reasonably well the observed liquid and ice water content for two cases. The better performance of the new scheme is attributed to its more elaborated treatment of the freezing process which is made possible by the proanostic determination of cloud particle number concentration and the assumption of a bimodal lognormal cloud size distribution. Sensitivity studies are performed to assess four aerosol microphysical properties on the evolution of cloud microphysical processes. Results show that the IFN concentration, the aerosol number concentration, the slope of the aerosol size distribution, and the aerosol solubility may impact substantially on cloud phase and total water content. The liquid water path and ice water path can vary by as much as 100 g m(-2) locally as a result of the variation of these parameters related to aerosols.
机构:
Stockholm Univ, Dept Environm Sci, Stockholm, Sweden
Stockholm Univ, Bolin Ctr Climate Res, Stockholm, SwedenStockholm Univ, Dept Environm Sci, Stockholm, Sweden
Heslin-Rees, Dominic
Karlsson, Linn
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Stockholm Univ, Dept Environm Sci, Stockholm, Sweden
Stockholm Univ, Bolin Ctr Climate Res, Stockholm, SwedenStockholm Univ, Dept Environm Sci, Stockholm, Sweden
Karlsson, Linn
Koike, Makoto
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Univ Tokyo, Dept Earth & Planetary Sci, Tokyo, JapanStockholm Univ, Dept Environm Sci, Stockholm, Sweden
Koike, Makoto
Modini, Robin
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Paul Scherrer Inst, Lab Atmospher Chem, Villigen, SwitzerlandStockholm Univ, Dept Environm Sci, Stockholm, Sweden
Modini, Robin
Krejci, Radovan
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Stockholm Univ, Dept Environm Sci, Stockholm, Sweden
Stockholm Univ, Bolin Ctr Climate Res, Stockholm, SwedenStockholm Univ, Dept Environm Sci, Stockholm, Sweden
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Univ Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USA
Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USAUniv Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USA
Li, Xia
Mace, Gerald G.
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Univ Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USAUniv Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USA
Mace, Gerald G.
Strong, Courtenay
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Univ Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USAUniv Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USA
Strong, Courtenay
Krueger, Steven K.
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Univ Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USAUniv Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USA
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Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USAUniv Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
Norgren, Matthew S.
de Boer, Gijs
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Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
NOAA, Phys Sci Div, Earth Syst Res Lab, Boulder, CO USAUniv Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
de Boer, Gijs
Shupe, Matthew D.
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Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
NOAA, Phys Sci Div, Earth Syst Res Lab, Boulder, CO USAUniv Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA