An improved approach for cloud droplet activation process parameterization is proposed that can utilize the empirically determined hygroscopicity information and practically limit the sizes of newly activated droplets. With the implementation of the improved approach in a cloud model, the aerosol effects on ice microphysics in convective cloud and precipitation development under different thermodynamic conditions is investigated. The model is run for four different thermodynamic soundings and three different aerosol types, maritime (M), continental (C) and polluted (P). Warm rain suppression by increased aerosol (i.e., CCN) is clearly demonstrated when weakly convective warm clouds are generated but the results are mixed when relatively stronger convective warm clouds are generated. For one of the two soundings that generate strong convective cold clouds, the accumulated precipitation amount is larger for C and P than for M, demonstrating the precipitation enhancement by increased CCN. For the maritime cloud, precipitation is initiated by the warm rain processes but ice hydrometeor particles form fast, which leads to early but weak cloud invigoration. Another stronger cloud invigoration occurs later for M but it is still weaker than that for C and P. It is the delayed accumulation of more water drops and ice particles for a burst of riming process and the latent heat release during the depositional growth of rimed ice particles that invigorate the cloud strongly for C and P. For the other sounding where freezing level is low, ice particles form fast for all three aerosol types and therefore warm rain suppression is not clearly shown. However, there still is more precipitation for C and P than for M until the accumulated precipitation amount becomes larger for M than for C near to the end of the model run. The results demonstrate that the precipitation response to aerosols indeed depends on the environmental conditions. (C) 2014 Elsevier B.V. All rights reserved.
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Nanjing Univ, Key Lab Mesoscale Severe Weather MOE, Nanjing, Peoples R China
Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R ChinaNanjing Univ, Key Lab Mesoscale Severe Weather MOE, Nanjing, Peoples R China
Qu, Yi
Khain, Alexander
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Hebrew Univ Jerusalem, Inst Earth Sci, Jerusalem, IsraelNanjing Univ, Key Lab Mesoscale Severe Weather MOE, Nanjing, Peoples R China
Khain, Alexander
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Phillips, Vaughan
Ilotoviz, Eyal
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Weizmann Inst Sci, Rehovot, IsraelNanjing Univ, Key Lab Mesoscale Severe Weather MOE, Nanjing, Peoples R China
Ilotoviz, Eyal
Shpund, Jacob
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Hebrew Univ Jerusalem, Inst Earth Sci, Jerusalem, IsraelNanjing Univ, Key Lab Mesoscale Severe Weather MOE, Nanjing, Peoples R China
Shpund, Jacob
Patade, Sachin
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Lund Univ, Lund, SwedenNanjing Univ, Key Lab Mesoscale Severe Weather MOE, Nanjing, Peoples R China
Patade, Sachin
Chen, Baojun
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Nanjing Univ, Key Lab Mesoscale Severe Weather MOE, Nanjing, Peoples R China
Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R ChinaNanjing Univ, Key Lab Mesoscale Severe Weather MOE, Nanjing, Peoples R China
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Seoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South KoreaSeoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South Korea
Jeon, Ye-Lim
Moon, Sungju
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Seoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South KoreaSeoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South Korea
Moon, Sungju
Lee, Hyunho
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Seoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South Korea
Columbia Univ, Ctr Climate Syst Res, New York, NY 10025 USASeoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South Korea
Lee, Hyunho
Baik, Jong-Jin
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Seoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South KoreaSeoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South Korea
Baik, Jong-Jin
Lkhamjav, Jambajamts
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Natl Univ Mongolia, Dept Appl Math, Ulaanbaatar 14201, MongoliaSeoul Natl Univ, Sch Earth & Environm Sci, Seoul 08826, South Korea