Untangling microphysical impacts on deep convection applying a novel modeling methodology

Journal of the Atmospheric Sciences

Volumn 72, Issue 6, 2015, Pages 2446-2464

  Grabowski, Wojciech W ^a  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Cloud microphysics; Clouds; Convective clouds; Cumulus clouds

Indexed keywords

CLOUDS; DROPS; NATURAL CONVECTION;

CLOUD MICROPHYSICS; CONVECTIVE CLOUDS; CUMULUS CLOUD; DYNAMICAL EFFECTS; MODELING METHODOLOGY; SHALLOW CONVECTION; SURFACE PRECIPITATION; THERMODYNAMIC VARIABLES;

PRECIPITATION (METEOROLOGY);

ATMOSPHERIC CONVECTION; CLOUD COVER; CLOUD DROPLET; CLOUD MICROPHYSICS; CUMULUS; NUMERICAL MODEL;

AMAZONIA;

EID: 84921856390     PISSN: 00224928     EISSN: 15200469     Source Type: Journal    
DOI: 10.1175/JAS-D-14-0307.1     Document Type: Article

References (38)

1. Fan, J., L. R. Leung, D. Rosenfeld, Q. Chen, Z. Li, J. Zhang, and H. Yan, 2013:Microphysical effects determine macrophysical response for aerosol impacts on deep convective clouds. Proc. Natl. Acad. Sci. USA, 110, E4581-E4590, doi:10.1073/pnas.1316830110.
2. Fletcher, N. H., 1962:Physics of Rain Clouds. Cambridge University Press, 386 pp.
3. Fridlind, A., and Coauthors, 2012:A comparison of TWP-ICE observational data with cloud-resolving model results. J. Geophys. Res., 117, D05204, doi:10.1029/2011JD016595.
4. Gilmore, M. S., J. M. Straka, and E. N. Rasmussen, 2004:Precipitation and evolution sensitivity in simulated deep convective storms:Comparisons between liquid-only and simple ice and liquid phasemicrophysics. Mon. Wea. Rev., 132, 1897-1916, doi:10.1175/1520-0493(2004)132<1897:PAESIS>2.0.CO;2.
5. Grabowski, W. W., 1998:Toward cloud resolving modeling of large-scale tropical circulations:A simple cloud microphysics parameterization. J. Atmos. Sci., 55, 3283-3298, doi:10.1175/1520-0469(1998)055<3283:TCRMOL>2.0.CO;2.
6. Grabowski, W. W., 1999:A parameterization of cloud microphysics for long term cloud-resolving modeling of tropical convection. Atmos. Res., 52, 17-41, doi:10.1016/S0169-8095(99)00029-0.
7. Grabowski, W. W., 2001:Coupling cloud processes with the large-scale dynamics using the cloud-resolving convection parameterization (CRCP). J. Atmos. Sci., 58, 978-997, doi:10.1175/1520-0469(2001)058<0978:CCPWTL>2.0.CO;2.
8. Grabowski, W. W., 2003:MJO-like coherent structures:Sensitivity simulations using the cloud-resolving convection parameterization (CRCP). J. Atmos. Sci., 60, 847-864, doi:10.1175/1520-0469(2003)060<0847:MLCSSS>2.0.CO;2.
9. Grabowski, W. W., simulations of convective-radiative quasi equilibrium. J. Climate, 19, 4664-4682, doi:10.1175/JCLI3857.1.
10. Grabowski, W. W., 2014:Extracting microphysical impacts in large-eddy simulations of shallow convection. J. Atmos. Sci., 71, 4493-4499, doi:10.1175/JAS-D-14-0231.1.
11. Grabowski, W. W., and P. K. Smolarkiewicz, 1999:CRCP:A cloud resolving convection parameterization for modeling the tropical convecting atmosphere. Physica D, 133, 171-178, doi:10.1016/S0167-2789(99)00104-9.
12. Grabowski, W. W., and M. W. Moncrieff, 2001:Large-scale organization of tropical convection in two-dimensional explicit numerical simulations. Quart. J. Roy. Meteor. Soc., 127, 445-468, doi:10.1002/qj.49712757211.
13. Grabowski, W. W., and M. W. Moncrieff, 2002:Large-scale organization of tropical convection in two-dimensional explicit numerical simulations:Effects of interactive radiation. Quart. J. Roy. Meteor. Soc., 128, 2349-2375, doi:10.1256/qj.01.104.
14. Grabowski, W. W., and H. Morrison, 2011:Indirect impact of atmospheric aerosols in idealized simulations of convective-radiative quasi equilibrium. Part II:Double-moment microphysics. J. Climate, 24, 1897-1912, doi:10.1175/2010JCLI3647.1.
15. Grabowski, W. W., J.-I. Yano, and M. W. Moncrieff, 2000:Cloud resolving modeling of tropical circulations driven by large-scale SST gradients. J. Atmos. Sci., 57, 2022-2040, doi:10.1175/1520-0469(2000)057<2022:CRMOTC>2.0.CO;2.
16. Grabowski, W. W., and Coauthors, 2006:Daytime convective development over land:A model intercomparison based on LBA observations. Quart. J. Roy. Meteor. Soc., 132, 317-344, doi:10.1256/qj.04.147.
17. Grabowski, W. W., L.-P. Wang, and T. V. Prabha, 2015:Macroscopic impacts of cloud and precipitation processes on maritime shallow convection as simulated by a large eddy simulation model with bin microphysics. Atmos. Chem. Phys., 15, 913-926, doi:10.5194/acp-15-913-2015.
18. Hsie, E.-Y., R. D. Farley, and H. D. Orville, 1980:Numerical simulation of ice-phase convective cloud seeding. J. Appl. Meteor., 19, 950-977, doi:10.1175/1520-0450(1980)019<0950:NSOIPC>2.0.CO;2.
19. Khain, A., and A. Pokrovsky, 2004:Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part II:Sensitivity study. J. Atmos. Sci., 61, 2983-3001, doi:10.1175/JAS-3281.1.
20. Khain, A., A. Pokrovsky, M. Pinsky, A. Seifert, and V. Phillips, 2004:Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part I:Model description and possible applications. J. Atmos. Sci., 61, 2963-2982, doi:10.1175/JAS-3350.1.
21. Khain, A., N. Ben Moshe, and A. Pokrovsky, 2008:Factors determining the impact of aerosols on surface precipitation from clouds:An attempt at classification. J. Atmos. Sci., 65, 1721-1748, doi:10.1175/2007JAS2515.1.
22. Khairoutdinov, M., and D. Randall, 2006:High-resolution simulation of shallow-to-deep convection transition over land. J. Atmos. Sci., 63, 3421-3436, doi:10.1175/JAS3810.1.
23. Koenig, L. R., and F. W. Murray, 1976:Ice-bearing cumulus cloud evolution:Numerical simulation and general comparison against observations. J. Appl. Meteor., 15, 747-762, doi:10.1175/1520-0450(1976)015<0747:IBCCEN>2.0.CO;2.
24. Kogan, Y., 2013:A cumulus cloud microphysics parameterization for cloud-resolving models. J. Atmos. Sci., 70, 1423-1436, doi:10.1175/JAS-D-12-0183.1.
25. Koren, I., G. Feingold, and L. A. Remer, 2010:The invigoration of deep convective clouds over the Atlantic:Aerosol effect, meteorology or retrieval artifact? Atmos. Chem. Phys., 10, 8855-8872, doi:10.5194/acp-10-8855-2010.
26. Lin, Y.-L., R. D. Farley, and H. D. Orville, 1983:Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065-1092, doi:10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2.
27. McFarquhar, G. M., and A. J. Heymsfield, 1997:Parameterization of tropical cirrus ice crystal size distributions and implications for radiative transfer:Results from CEPEX. J. Atmos. Sci., 54, 2187-2200, doi:10.1175/1520-0469(1997)054<2187:POTCIC>2.0.CO;2.
28. Morrison, H., 2012:On the robustness of aerosol effects on an idealized supercell storm simulated with a cloud systemresolving model. Atmos. Chem. Phys., 12, 7689-7705, doi:10.5194/acp-12-7689-2012.
29. Morrison, H., and W. W. Grabowski, 2011:Cloud-system resolving model simulations of aerosol indirect effects on tropical deep convection and its thermodynamic environment. Atmos. Chem. Phys., 11, 10 503-10 523, doi:10.5194/acp-11-10503-2011.
30. Morrison, H., and J. Milbrandt, 2011:Comparison of two-moment bulk microphysics schemes in idealized supercell thunderstorm simulations. Mon. Wea. Rev., 139, 1103-1130, doi:10.1175/2010MWR3433.1.
31. Morrison, H., and W. W. Grabowski, 2013:Response of tropical deep convection to localized heating perturbations:Implications for aerosol-induced convective invigoration. J. Atmos. Sci., 70, 3533-3555, doi:10.1175/JAS-D-13-027.1.
32. Mrowiec, A. A., C. Rio, A. M. Fridlind, A. S. Ackerman, A. D. Del Genio, O. M. Pauluis, A. C. Varble, and J. Fan, 2012:Analysis of cloud-resolving simulations of a tropical mesoscale convective system observed during TWP-ICE:Vertical fluxes and draft properties in convective and stratiform regions. J. Geophys. Res., 117, D19201, doi:10.1029/2012JD017759.
33. Rosenfeld, D., U. Lohmann, G. B. Raga, C. D. O'Dowd, M. Kulmala, S. Fuzzi, A. Reissell, and M. O. Andreae, 2008:Flood or drought:How do aerosols affect precipitation? Science, 321, 1309-1313, doi:10.1126/science.1160606.
34. Rutledge, S. A., and P. V. Hobbs, 1984:The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. XII:A diagnostic modeling study of precipitation development in narrow cold frontal rain bands. J. Atmos. Sci., 41, 2949-2972, doi:10.1175/1520-0469(1984)041<2949:TMAMSA>2.0.CO;2.
35. Seifert, A., C. Köhler, and K. D. Beheng, 2012:Aerosol-cloudprecipitation effects over Germany as simulated by a convective-scale numerical weather prediction model. Atmos. Chem. Phys., 12, 709-725, doi:10.5194/acp-12-709-2012.
36. Tao, W.-K., J.-P. Chen, Z. Li, C. Wang, and C. Zhang, 2012:Impact of aerosols on convective clouds and precipitation. Rev. Geophys., 50, RG2001, doi:10.1029/2011RG000369.
37. Varble, A., and Coauthors, 2011:Evaluation of cloud-resolving model intercomparison simulations using TWP-ICE observations:Precipitation and cloud structure. J. Geophys. Res., 116, D12206, doi:10.1029/2010JD015180.
38. Wyszogrodzki, A. A., W. W. Grabowski, L.-P. Wang, and O. Ayala, 2013:Turbulent collision-coalescence in maritime shallow convection. Atmos. Chem. Phys., 13, 8471-8487, doi:10.5194/acp-13-8471-2013.