Advanced two-moment bulk microphysics for global models. Part I: Off-line tests and comparison with other schemes

Journal of Climate

Volumn 28, Issue 3, 2015, Pages 1268-1287

  Gettelman, A ^a   Morrison, H ^a  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DROPS; ICE; RAIN;

BULK MICROPHYSICS; CLIMATE SIMULATION; GLOBAL CLIMATE MODEL; LIMITED SENSITIVITY; LIQUID CONDENSATES; LIQUID WATER PATHS; PRECIPITATION EFFICIENCY; VERTICAL RESOLUTION;

CLIMATE MODELS;

CLIMATE MODELING; CLOUD DROPLET; CLOUD MICROPHYSICS; COMPUTER SIMULATION; PRECIPITATION (CLIMATOLOGY); SENSITIVITY ANALYSIS;

ARCTIC;

EID: 84923065772     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-14-00102.1     Document Type: Article

References (30)

1. Abdul-Razzak, H., and S. J. Ghan, 2000: A parameterization of aerosol activation. 2. Multiple aerosol types. J. Geophys. Res., 105, 6837-6844, doi: 10.1029/1999JD901161.
2. Bogenschutz, P. A., A. Gettelman, H. Morrison, V. E. Larson, D. P. Schanen, N. R. Meyer, and C. Craig, 2012: Unified parameterization of the planetary boundary layer and shallow convection with a higher-order turbulence closure in the Community Atmosphere Model: Single-column experiments. Geosci. Model Dev., 5, 1407-1423, doi: 10.5194/gmd-5-1407-2012.
3. Boucher, O., and U. Lohmann, 1995: The sulfate-CCN-cloud albedo effect: A sensitivity study with two general circulation models. Tellus, 47B, 281-300, doi:10.1034/j.1600-0889.47.issue3.1.x.
4. Cooper, W. A., 1986: Ice initiation in natural clouds. Precipitation Enhancement-A Scientific Challenge, Meteor. Monogr., No. 43, Amer. Meteor. Soc., 29-32, doi:10.1175/0065-9401-21.43.29.
5. Flatau, P. J., R. L. Walko, and W. R. Cotton, 1992: Polynomial fits to saturation vapor pressure. J. Appl. Meteor. Climatol., 31, 1507-1513, doi: 10.1175/1520-0450(1992)031,1507: PFTSVP.2.0.CO;2.
6. Fowler, L. D., D. A. Randall, and S. A. Rutledge, 1996: Liquid and ice cloud microphysics in the CSU general circulation model. Part I: Model description and simulated microphysical processes. J. Climate, 9, 489-529, doi: 10.1175/1520-0442(1996)009,0489: LAICMI.2.0.CO;2.
7. Gettelman, A., H. Morrison, and S. J. Ghan, 2008: A new twomoment bulk stratiform cloud microphysics scheme in the NCAR Community Atmosphere Model (CAM3). Part II: Single-column and global results. J. Climate, 21, 3660-3679, doi: 10.1175/2008JCLI2116.1.
8. Gettelman, A., and Coauthors, 2010: Multi-model assessment of the upper troposphere and lower stratosphere: Tropics and trends. J. Geophys. Res., 115, D00M08, doi: 10.1029/2009JD013638.
9. Gettelman, A., H. Morrison, C. R. Terai, and R. Wood, 2013: Microphysical process rates and global aerosol-cloud interactions. Atmos. Chem. Phys. Discuss., 13, 11789-11825, doi:10.5194/acpd-13-11789-2013.
10. Gettelman, A., H. Morrison, S. Santos, P. Bogenschutz, and P. H. Caldwell, 2014: Advanced two-moment bulk microphysics for global models. Part II: Global model solutions and aerosol-cloud interactions. J. Climate, 28, 1288-1307, doi: 10.1175/JCLI-D-14-00103.1.
11. Ghan, S. J., and R. C. Easter, 1992: Computationally efficient approximations to stratiform cloud microphysics parameterization. Mon. Wea. Rev., 120, 1572-1582, doi: 10.1175/1520-0493(1992)120,1572:CEATSC.2.0.CO;2.
12. Goff, J. A., and S. Gratch, 1946: Low-pressure properties of water from-160°F to 212°F. Trans. Amer. Soc. Heat. Vent. Eng., 52, 95-121.
13. Jiang, H., G. Feingold, and A. Sorooshian, 2010: Effect of aerosol on the susceptibility and efficiency of precipitation in warm trade cumulus clouds. J. Atmos. Sci., 67, 3526-3540, doi: 10.1175/2010JAS3484.1.
14. Khairoutdinov, M. F., and Y. Kogan, 2000: A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus. Mon. Wea. Rev., 128, 229-243, doi: 10.1175/1520-0493(2000)128,0229:ANCPPI.2.0.CO;2.
15. Lebsock, M., H. Morrison, and A. Gettelman, 2013: Microphysical implications of cloud-precipitation covariance derived from satellite remote sensing. J. Geophys. Res. Atmos., 118, 6521-6533, doi: 10.1002/jgrd.50347.
16. Leonard, B. P., M. K. MacVean, and A. P. Lock, 1992: Positivity preserving numerical schemes for multidimensional advection. NASA Tech. Memo. NASA-TM-106055, ICOMP-93-05, 62 pp. [Available online at http://ntrs.nasa.gov/search.jsp?R519930017902.]
17. Lohmann, U., 2008: Global anthropogenic aerosol effects on convective clouds in ECHAM5-HAM. Atmos. Chem. Phys., 8, 2115-2131, doi: 10.5194/acp-8-2115-2008.
18. Lopez, P., 2002: Implementation and validation of a new prognostic large-scale cloud and precipitation scheme for climate and data-assimilation purposes. Quart. J. Roy. Meteor. Soc., 128, 229-257, doi: 10.1256/00359000260498879.
19. Morrison, H., and A. Gettelman, 2008: A new two-moment bulk stratiform cloud microphysics scheme in the NCAR Community Atmosphere Model (CAM3). Part I: Description and numerical tests. J. Climate, 21, 3642-3659, doi: 10.1175/2008JCLI2105.1.
20. Morrison, H., J. A. Curry, and V. I. Khvorostyanov, 2005: A new doublemoment microphysics parameterization for application in cloud and climate models. Part I: Description. J. Atmos. Sci., 62, 1665-1677, doi: 10.1175/JAS3446.1.
21. 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, doi: 10.1175/2008MWR2556.1.
22. Posselt, R., and U. Lohmann, 2008: Introduction of prognostic rain in ECHAM5: Design and single column model simulations. Atmos. Chem. Phys., 8, 2949-2963, doi: 10.5194/acp-8-2949-2008.
23. Posselt, R., and U. Lohmann, 2009: Sensitivity of the total anthropogenic aerosol effect to the treatment of rain in a global climate model. Geophys. Res. Lett., 36, L02805, doi: 10.1029/2008GL035796.
24. Shipway, B. J., and A. A. Hill, 2012: Diagnosis of systematic differences between multiple parametrizations of warm rain microphysics using a kinematic framework. Quart. J. Roy. Meteor. Soc., 138, 2196-2211, doi: 10.1002/qj.1913.
25. Song, X., G. J. Zhang, and J.-L. F. Li, 2012: Evaluation of microphysics parameterization for convective clouds in the NCAR Community Atmosphere Mode CAM5. J. Climate, 25, 8568-8590, doi: 10.1175/JCLI-D-11-00563.1.
26. Terai, C. R., R. Wood, D. C. Leon, and P. Zuidema, 2012: Does precipitation susceptibility vary with increasing cloud thickness in marine stratocumulus? Atmos. Chem. Phys., 12, 4567-4583, doi: 10.5194/acp-12-4567-2012.
27. Thompson, G., P. R. Field, R. M. Rasmussen, and W. D. 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, doi: 10.1175/2008MWR2387.1.
28. Walters, D. N., and Coauthors, 2014: The Met Office Unified Model global atmosphere 4. 0 and JULES global land 4.0 configurations. Geosci. Model Dev., 7, 361-386, doi: 10.5194/gmd-7-361-2014.
29. Wang, M., and Coauthors, 2012: Constraining cloud lifetime effects of aerosols using A-Train satellite observations. Geophys. Res. Lett., 39, L15709, doi: 10.1029/2012GL052204.
30. Wood, R., T. L. Kubar, and D. L. Hartmann, 2009: Understanding the importance of microphysics and macrophysics for warm rain in marine low clouds. Part II: Heuristic models of rain formation. J. Atmos. Sci., 66, 2973-2990, doi: 10.1175/2009JAS3072.1.