Parameterizing convective organization to escape the entrainment dilemma

Journal of Advances in Modeling Earth Systems

Volumn 3, Issue 2, 2011, Pages

  Mapes, Brian ^a   Neale, Richard ^b  

^a UNIVERSITY OF MIAMI   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EVAPORATION; MIXING; RAIN;

COMMUNITY ATMOSPHERE MODEL; ENTRAINMENT RATES; LINEAR COEFFICIENTS; METEOROLOGICAL FIELDS; MODEL PERFORMANCE; PROGNOSTIC VARIABLES; SUBGRID-SCALE STRUCTURES; UNIVERSITY OF WASHINGTON;

NATURAL CONVECTION;

EID: 80051826033     PISSN: None     EISSN: 19422466     Source Type: Journal    
DOI: 10.1029/2011MS000042     Document Type: Article

References (52)

1. Addis, R. P., M. Garstang, and G. D. Emmitt, 1984: Downdrafts from tropical oceanic cumuli. Bound.- Layer Meteorol., 28, 23-49, doi: 10.1007/BF00119455.
2. Arakawa, A., 2004: The cumulus parameterization problem: Past, present, and future. J. Clim., 17, 2493-2525, doi: 10.1175/1520-0442(2004)017,2493: RATCPP.2.0.CO;2.
3. Arakawa, A., W. H. Schubert, 1974: Interaction of a cumulus cloud ensemble with the large-scale environment, Part 1. J. Atmos.Sci., 31, 674-701, doi: 10.1175/1520-0469(1974) 031,0674:IOACCE.2.0.CO;2.
4. Balaji V., and T. L. Clark, 1988: Scale selection in locally forced convective fields and the initiation of deep cumulus. J. Atmos. Sci., 45, 3188-3211, doi: 10.1175/ 1520-0469(1988)045,3188:SSILFC.2.0.CO;2.
5. Bechtold, P., M. Koehler, T. Jung, F. Doblas-Reyes, M. Leutbecher, M. J. Rodwell, F. Vitart, and G. Balsamo, 2008: Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales. Q. J. R. Meteorol. Soc. 134, 1337-1351, doi: 10.1002/qj.289.
6. Bjerknes, J., 1938: Saturated-adiabatic ascent of air through a dry-adiabatically descending environment. Quarterly Journal of the Royal Meteorological Society, 64, 325-330.
7. Bretherton, C. S., J. R. McCaa, and H. Grenier, 2004: A new parameterization for shallow cumulus convection and its application to marine subtropical cloud-topped boundary layers. Part I: Description and 1D results. Mon.Weather Rev., 132, 864-882, doi: 10.1175/1520-0493(2004)132 ,0864:ANPFSC.2.0.CO;2.
8. Crook, N. A., 1996: Sensitivity of moist convection forced by boundary layer processes to low-level thermodynamic fields. Mon. Wea. Rev., 124, 1767-1785, doi: 10.1175/ 1520-0493(1996)124,1767:SOMCFB.2.0.CO;2.
9. Dai, A., K. E. Trenberth, 2004: The diurnal cycle and its depiction in the Community Climate System Model. J. Clim., 17, 930-951, doi: 10.1175/1520-0442(2004)017 ,0930:TDCAID.2.0.CO;2.
10. Derbyshire, S. H., I. Beau, P. Bechtold, J. Y. Grandpeix, J. M. Piriou, J. L. Redelsperger, and P. M. M. Soares, 2004: Sensitivity of moist convection to environmental humidity. Q. J. R. Meteorol. Soc. 130, 3055-3079, doi: 10.1256/ qj.03.130.
11. Donner, L. J., C. J. Seman, R. S. Hemler, and S. M. Fan, 2001: A cumulus parameterization including mass fluxes, convective vertical velocities, and mesoscale effects: Thermodynamic and hydrological aspects in a general circulation model. J. Clim., 14, 3444-3463, doi: 10.1175/ 1520-0442(2001)014, 3444:ACPIMF.2.0.CO;2.
12. Emanuel, K. A., and M. Zivkovic-Rothman, 1999: Development and evaluation of a convection scheme for use in climate models. J. Atmos. Sci., 56, 1766-1782, doi: 10. 1175/1520-0469(1999)056,1766:DAEOAC.2.0.CO;2.
13. Fletcher, J., C. S. Bretherton, 2010: Evaluating boundarylayer based mass flux closures using cloud-resolving model simulations of deep convection. J. Atmos. Sci., 67, 2212-2225, doi: 10.1175/2010JAS3328.1.
14. Fovell, R. G., G. L. Mullendore, and S. Kim, 2006: Discrete propagation in numerically simulated nocturnal squall lines. Mon.Weather Rev., 134, 3735-3752, doi: 10.1175/ MWR3268.1.
15. Grabowski, W. W., M. W. Moncrieff, 2001: Large-scale organization of tropical convection in two-dimensional explicit numerical simulations. Q. J. R. Meteorol. Soc., 127, 445-468, doi: 10.1002/qj.49712757211.
16. Grabowski, W. W., M. W. Moncrieff, 2004: Moistureconvection feedback in the tropics. Q. J. R. Meteorol. Soc. 130, 3081-3104, doi: 10.1256/qj.03.135.
17. Hohenegger, C., and C. S. Bretherton, 2011: Simulating deep convection with a shallow convection scheme. Atmos. Chem. Phys. Discuss., 11, 8385-8430.
18. Houze, R. A., 1997: Stratiform precipitation in regions of convection: A meteorological paradox? Bull. Am. Meteorol. Soc., 78, 2179-2196, doi: 10.1175/1520-0477(1997)078 ,2179:SPIROC.2.0.CO;2.
19. Houze, R. A., 2004: Mesoscale convective systems. Rev. Geophys. 42, RG4003. doi: 10.1029/2004RG000150.
20. Johnson,R.H., T.M. Rickenbach, S.A.Rutledge,P. E.Ciesielski, and W.H. Schubert, 1999: Trimodal characteristics of tropical convection. J. Climate, 12, 2397-2418, doi: 10.1175/1520-0442(1999)012,2397:TCOTC.2.0.CO;2.
21. Khairoutdinov, M., 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.
22. Kiladis, G. N., M. C. Wheeler, P. T. Haertel, K. H. Straub, and P. E. Roundy, 2009: Convectively coupled equatorial waves. Rev.Geophys. 47, RG2003, doi: 10.1029/ 2008RG000266.
23. Kuang, Z., C. S. Bretherton, 2006: A mass-flux scheme view of a high-resolution simulation of a transition from shallow to deep cumulus convection. J. Atmos. Sci., 63, 1895-1909, doi: 10.1175/JAS3723.1.
24. Kuang, Z., 2009: Linear response functions of a cumulus ensemble to temperature and moisture perturbations and implication to the dynamics of convectively coupled waves. J. Atmos. Sci. in press.
25. Lac, C., J. P. Lafore, and J. L. Redelsperger, 2002: Role of gravity waves in triggering deep convection during TOGA COARE. J. Atmos. Sci., 59, 1293-1316, doi: 10.1175/1520- 0469(2002)059,1293:ROGWIT.2.0.CO;2.
26. Lilly, D. K., 1959: On the theory of disturbances in a conditionally unstable atmosphere. Journal of Geophysical Research, 64, 1114-1114.
27. Lin, C. C., A. Arakawa, 1997: The macroscopic entrainment processes of simulated cumulus ensemble .2. Testing the entraining-plume model. J. Atmos. Sci., 54, 1044-1053, doi: 10.1175/1520-0469(1997)054,1044:TMEPOS.2.0.CO;2.
28. Mapes, B., S. Tulich, J. Lin, and P. Zuidema, 2006: The mesoscale convection life cycle: Building block or prototype for large-scale tropical waves? Dyn. Atmos. Oceans, 42, 3-29, doi: 10.1016/j.dynatmoce.2006.03.003.
29. Mapes, B. E., 2000: Convective inhibition, subgrid-scale triggering energy, and stratiform instability in a toy tropical wave model. J. Atmos. Sci., 57, 1515-1535, doi: 10.1175/1520-0469(2000)057,1515:CISSTE.2.0.CO;2.
30. Mapes, B. E., R. A. Houze, 1995: Diabatic divergence profiles in western pacific mesoscale convective systems. J. Atmos. Sci., 52, 1807-1828, doi: 10.1175/1520-0469 (1995)052,1807:DDPIWP.2.0.CO;2.
31. Mapes, B. E., J. L. Lin, 2005: Doppler radar observations of mesoscale wind divergence in regions of tropical convection. Mon. Weather Rev., 133, 1808-1824, doi: 10.1175/ MWR2941.1.
32. Moncrieff, M. W., 2004: Analytic representation of the largescale organization of tropical convection. J. Atmos. Sci., 61, 1521-1538, doi: 10.1175/1520-0469(2004)061 ,1521:AROTLO.2.0.CO;2.
33. Neale, R. B., J. H. Richter and M. Jochum. 2008: The impact of convection on ENSO: From a delayed oscillator to a series of events. Journal of Climate, 21, 5904-5924, doi: 10.1175/2008JCLI2244.1.
34. Ooyama, K. V., 1971: A theory of parameterization of cumulus convection. J. Meteor. Soc. Japan, 9 (special issue), 744-756.
35. Pan, D. M., D. A. Randall, 1998: A cumulus parametrization with a prognostic closure. Q. J. R. Meteorol. Soc., 124, 949-981.
36. Park, S., C. S. Bretherton, 2009: The University of Washington shallow convection and moist turbulence schemes and their impact on climate simulations with the Community Atmosphere Model. J. Clim., 22, 3449- 3469, doi: 10.1175/2008JCLI2557.1.
37. Peng, M. S., J. A. Ridout, and T. F. Hogan, 2004: Recent modifications of the emanuel convective scheme in the navy operational global atmospheric prediction system. Mon. Wea. Rev., 132, 1254-1268, doi: 10.1175/1520-0493 (2004)132,1254:RMOTEC.2.0.CO;2.
38. Piriou, J., J. Redelsperger, J. Geleyn, J. Lafore, and F. Guichard, 2007: An approach for convective parameterization with memory: Separating microphysics and transport in grid-scale equations. J. Atmos. Sci., 64, 4127-4139, doi: 10.1175/2007JAS2144.1.
39. Qian, L. Y., G. S. Young, and W. M. Frank, 1998: A convective wake parameterization scheme for use in general circulation models. Mon.Weather Rev., 126, 456-469, doi: 10.1175/ 1520-0493(1998)126,0456:ACWPSF.2.0.CO;2.
40. Ramirez, J. A., and R. L. Bras, 1990: Clustered or regular cumulus cloud fields: The statistical character of observed and simulated cloud fields, J. Geophys. Res., 95(D3), 2035-2045, doi: 10.1029/JD095iD03p02035.
41. Ramirez, J. A., R. L. Bras, and K. A. Emanuel, 1990: Stabilization functions of unforced cumulus clouds - their nature and components. J. Geophys. Res.-Atmos., 95, 2047-2059, doi: 10.1029/JD095iD03p02047.
42. Rasch, P. J., M. J. Stevens, L. Ricciardulli, A. Dai, A. Negri, R. Wood, B. A. Boville, B. Eaton, and J. J. Hack, 2006: A characterization of tropical transient activity in the CAM3 atmospheric hydrologic cycle. J. Clim., 19, 2222-2242, doi: 10.1175/JCLI3752.1.
43. Raymond, D. J., A. M. Blyth, 1992: Extension of the stochastic mixing model to cumulonimbus clouds. J. Atmos. Sci., 49, 1968-1983, doi: 10.1175/1520-0469 (1992)049,1968:EOTSMM.2.0.CO;2.
44. Rogers, R. R. and M. K. Yau, 1989: A short course in cloud physics. Pergamon, New York, 293 pp.
45. Rougier, J., D. M. H. Sexton, J. M. Murphy, and D. Stainforth, 2009: Analyzing the climate sensitivity of the HadSM3 climate model using ensembles from different but related experiments. J. Clim., 22, 3540-3557, doi: 10.1175/2008JCLI2533.1.
46. Scinocca, J. F., N. A. McFarlane, 2004: The variability of modeled tropical precipitation. J. Atmos. Sci., 61, 1993-2015, doi: 10.1175/1520- 0469(2004)061,1993:TVOMTP. 2.0.CO;2.
47. Tulich, S. N., B. E. Mapes, 2008: Multiscale convective wave disturbances in the tropics: Insights from a two-dimensional cloud-resolving model. J. Atmos. Sci., 65, 140-155, doi: 10.1175/2007JAS2353.1.
48. Tulich, S. and B. E. Mapes, 2009: Transient environmental sensitivities of explicitly simulated tropical convection. J. Atmos. Sci., 67, 923-9401, doi: 10.1175/2009JAS3277.1.
49. Weger, R. C., J. Lee, T. Zhu, and R. M. Welch, 1992: Clustering, randomness and regularity in cloud fields: 1. Theoretical considerations, J. Geophys. Res., 97(D18), 20,519-20,536.
50. Yanai, M., S. Esbensen, and J. H. Chu, 1973: Determination of bulk properties of tropical cloud clusters from largescale heat and moisture budgets. J. Atmos. Sci., 30, 611-627, doi: 10.1175/1520-0469(1973)030,0611:DOBPOT. 2.0.CO;2.
51. Zhang, G. J., N. A. Mcfarlane, 1995: Sensitivity of climate simulations to the parameterization of cumulus convection in the canadian climate center general-circulation model. Atmosphere-Ocean, 33, 407-446.
52. Zhu, T., J. Lee, R. C. Weger, and R. M. Welch (1992), Clustering, randomness, and regularity in cloud fields: 2. Cumulus cloud fields, J. Geophys. Res., 97(D18)20,537.20,558.