A method for adaptive habit prediction in bulk microphysical models.Part II: Parcel model corroboration

Journal of the Atmospheric Sciences

Volumn 70, Issue 2, 2013, Pages 365-376

  Harrington, Jerry Y ^a   Sulia, Kara ^a   Morrison, Hugh ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Cloud microphysics; Cloud parameterizations; Clouds; Ice crystals; Ice loss growth; Parameterization

Indexed keywords

CAPACITANCE MODEL; CLOUD MICROPHYSICS; CLOUD PARAMETERIZATIONS; ICE CRYSTALS; ICE LOSS/GROWTH; MASS MIXING RATIO; MICROPHYSICAL MODELS; MIXED-PHASE CLOUD;

ASPECT RATIO; CLOUDS; MIXING; PARAMETERIZATION; VAPORS;

ICE;

CLOUD MICROPHYSICS; ICE CRYSTAL; LAGRANGIAN ANALYSIS; MIXING RATIO; NUMERICAL MODEL; PARAMETERIZATION;

EID: 84874985561     PISSN: 00224928     EISSN: 15200469     Source Type: Journal    
DOI: 10.1175/JAS-D-12-0152.1     Document Type: Article

References (36)

1. Avramov, A., and J. Harrington, 2010: Influence of parameterized ice habit on simulated mixed phase Arctic clouds. J. Geophys. Res., 115, D03205, doi:10.1029/2009JD012108.
2. Bailey, M. P., and J. Hallett, 2009: A comprehensive habit diagram for atmospheric ice crystals: Confirmation from the laboratory, AIRS II, and other field studies. J. Atmos. Sci., 66, 2888-2899.
3. Chen, J.-P., and D. Lamb, 1994: The theoretical basis for the parameterization of ice crystal habits: Growth by vapor deposition. J. Atmos. Sci., 51, 1206-1221.
4. Chen, J.-P., and D. Lamb, 1999: Simulation of cloud microphysical and chemical processes using a multicomponent framework. Part II: Microphysical evolution of a wintertime orographic cloud. J. Atmos. Sci., 56, 2293-2312.
5. Connolly, P. J., C. Emersic, and P. R. Field, 2012: A laboratory investigation into the aggregation efficiency of small ice crystals. Atmos. Chem. Phys., 12, 2055-2076, doi:10.5194/acp-12-2055-2012.
6. Ervens, B., G. Feingold, K. Sulia, and J. Harrington, 2011: The impact of microphysical parameters, ice nucleation mode, and habit growth on the ice/liquid partitioning in mixed-phase arctic clouds. J. Geophys. Res., 116, D17205, doi:10.1029/2011JD015729.
7. Fridlind, A. M., A. S. Ackerman, G. McFarquhar, G. Zhang, M. R. Poellot, P. J. DeMott,A. J. Prenni, and A. J. Heymsfield, 2007: Ice properties of single-layer stratocumulus during the Mixed-Phase Arctic Cloud Experiment (M-PACE): 2. Model results. J. Geophys. Res., 112, D24202, doi:10.1029/2007JD008646.
8. Fukuta, N., 1969: Experimental studies on the growth of small ice crystals. J. Atmos. Sci., 26, 522-531.
9. Fukuta, N., and T. Takahashi, 1999: The growth of atmospheric ice crystals: A summary of findings in vertical supercooled cloud tunnel studies. J. Atmos. Sci., 56, 1963-1979.
10. Harrington, J. Y., M. P. Meyers, R. L. Walko, and W. R. Cotton, 1995: Parameterization of ice crystal conversion processes due to vapor deposition for mesoscale models using doublemoment basis functions. Part I: Basic formulation and parcel model results. J. Atmos. Sci., 52, 4344-4366.
11. Harrington, J. Y., G. Feingold, and W. R. Cotton, 2000: Radiative impacts on the growth of a population of drops within simulated summertime arctic stratus. J. Atmos. Sci., 57, 766-785.
12. Harrington, J. Y., D. Lamb, and R. Carver, 2009: Parameterization of surface kinetic effects for bulk microphysical models: Influences on simulated cirrus dynamics and structure. J. Geophys. Res., 114, D06212, doi:10.1029/2008JD011050.
13. Harrington, J. Y., K. Sulia, and H. Morrison, 2013:Amethod for adaptive habit prediction in bulk microphysical models. Part I: Theoretical development. J. Atmos. Sci., 70, 349-364.
14. Hashino, T., and G. J. Tripoli, 2007: The Spectral Ice Habit Prediction System (SHIPS). Part I: Model description and simulation of the vapor deposition process. J. Atmos. Sci., 64, 2210-2237.
15. Hashino, T., and G. J. Tripoli, 2008: The Spectral Ice Habit Prediction System (SHIPS). Part II: Simulation of nucleation and depositional growth of polycrystals. J. Atmos. Sci., 65, 3071-3094.
16. Heymsfield, A., G.-J. van Zadelhoff, D. Donovan, F. Fabry, R. Hogan, and A. Ilingworth, 2007: Refinements to ice particle mass dimensional and terminal velocity relationships for ice clouds. Part II: Evaluation and parameterizations of ensemble ice particle sedimentation velocities. J. Atmos. Sci., 64, 1068-1088.
17. Lamb, D., and J. Chen, 1995: An expanded parameterization of growth of ice crystals by vapor deposition. Preprints, Conf. on Cloud Physics, Dallas, TX, Amer. Meteor. Soc., 389-392.
18. Lamb, D., and J. Verlinde, 2011: The Physics and Chemistry of Clouds. Cambridge University Press, 584 pp.
19. Libbrecht, K., 2005: The physics of snow crystals. Rep. Prog. Phys., 65, 855-895.
20. Lin, Y., R. Farley, and H. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065-1092.
21. Locatelli, J. D., and P. V. Hobbs, 1974: Fall speeds and masses of solid precipitation particles. J. Geophys. Res., 79, 2185-2197.
22. Meyers, M. P., R. L. Walko, J. Y. Harrington, and W. R. Cotton, 1997: New rams cloud microphysics parameterization. Part II: The two-moment scheme. Atmos. Res., 45, 3-39.
23. Mitchell, D. L., 1988: Evolution of snow-size spectra in cyclonic storms. Part I: Snow growth by vapor deposition and aggregation. J. Atmos. Sci., 45, 3431-3451.
24. Mitchell, D. L., 1996: Use of mass-and area-dimensional power laws for determining precipitation particle terminal velocities. J. Atmos. Sci., 53, 1710-1723.
25. Mitchell, D. L., R. Zhang, and R. L. Pitter, 1990: Mass-dimensional relationships for ice particles and the influence of riming on snowfall rates. J. Appl. Meteor., 29, 153-163.
26. Morrison, H., and W. Grabowski, 2008: A novel approach for representing ice microphysics in models: Description and tests using a kinematic framework. J. Atmos. Sci., 65, 1528-1548.
27. Morrison, H., and W. Grabowski, 2010: An improved representation of rimed snow and conversion to graupel in a mutlicomponent bin microphysics scheme. J. Atmos. Sci., 67, 1337-1360.
28. Morrison, H., G. Thompson, and V. Tatarskii, 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one-and two-moment schemes. Mon. Wea. Rev., 137, 991-1007.
29. Nelson, J. T., and M. B. Baker, 1996: New theoretical framework for studies of vapor growth and sublimation of small ice crystals in the atmosphere. J. Geophys. Res., 101 (D3), 7033-7047.
30. Reisner, J., R. Rasmussen, and R. Bruintjes, 1998: Explicit forecasting of supercooled liquid in winter storms using theMM5 mesoscale model. Quart. J. Roy. Meteor. Soc., 124, 1071-1107.
31. Sulia, K. J., and J. Y. Harrington, 2011: Ice aspect ratio influences on mixed-phase clouds: Impacts on phase partitioning in parcel models. J. Geophys. Res., 116, D21309, doi:10.1029/2011JD016298.
32. Thompson, G., R. Rasmussen, and K. Manning, 2004: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part I: Description and sensitivity analysis. Mon. Wea. Rev., 132, 519-542.
33. Thompson, G., P. Field, R. Rasmussen, and W. Hall, 2008: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization. Mon. Wea. Rev., 136, 5095-5115.
34. Walko, R. L., W. R. Cotton, M. P. Meyers, and J. Y. Harrington, 1995: New RAMS cloud microphysics parameterization. Part I: The single moment scheme. Atmos. Res., 38, 29-62.
35. Westbrook, C. D., and A. J. Heymsfield, 2011: Ice crystals growing from vapor in supercooled clouds between 22.58 and 2208C: Testing current parameterization methods using laboratory data. J. Atmos. Sci., 68, 2416-2430.
36. Woods, C., M. Stoelinga, and J. Locatelli, 2007: The IMPROVE-1 storm of 1-2 February 2001. Part III: Sensitivity of a mesoscale model simulation to the representation of snow particle types and testing of a bulk microphysical scheme with snow habit prediction. J. Atmos. Sci., 64, 3927-3948.