The influence of land surface heterogeneities on cloud size development

Monthly Weather Review

Volumn 142, Issue 10, 2014, Pages 3830-3846

  Rieck, Malte ^a   Hohenegger, Cathy ^a   van Heerwaarden, Chiel C ^a  

^a MAX PLANCK INSTITUTE FOR METEOROLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

LAND SURFACE;

ATMOSPHERIC CONVECTION; CLOUD COVER; CLOUD MICROPHYSICS; HETEROGENEITY; LAND SURFACE; MIDLATITUDE ENVIRONMENT; PARAMETERIZATION; POWER LAW; PRECIPITATION ASSESSMENT; RAINFALL; SIZE DISTRIBUTION;

EID: 84907448816     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-13-00354.1     Document Type: Article

References (48)

1. Avissar, R., and T. Schmidt, 1998: An evaluation of the scale at which ground-surface heat flux patchiness affects the convective boundary layer using large-eddy simulations. J. Atmos Sci., 55, 2666-2689, doi:10.1175/1520-0469(1998)055,2666: AEOTSA.2.0.CO;2
2. Baidya Roy, S., C. P. Weaver, D. S. Nolan, and R. Avissar, 2003: A preferred scale for landscape forced mesoscale circulations? J. Geophys. Res., 108, 8854, doi:10.1029/2002JD003097
3. Baldauf,M.,A. Seifert, J. Förstner,D.Majewski,M. Raschendorfer, and T. Reinhardt, 2011: Operational convective-scale numerical weather prediction with the COSMO model: Description and sensitivities. Mon. Wea. Rev., 139, 3887-3905, doi:10.1175/ MWR-D-10-05013.1
4. Bechtold, P., J.-P. Chaboureau, A. Beljaars, A. K. Betts, M. Köhler, M. Miller, and J.-L. Redelsperger, 2004: The simulation of the diurnal cycle of convective precipitation over land in a global model. Quart. J. Roy. Meteor. Soc., 130, 3119- 3137, doi:10.1256/qj.03.103
5. Betts, A. K., 1975: Parametric interpretation of trade-wind cumulus budget studies. J. Atmos. Sci., 32, 1934-1945, doi:10.1175/ 1520-0469(1975)032,1934:PIOTWC.2.0.CO;2
6. Böing, S. J., H. J. J. Jonker, P. Siebesma, and W. W. Grabowski, 2012: Influence of the subcloud layer on the development of a deep convective ensemble. J. Atmos. Sci., 69, 2682-2698, doi:10.1175/JAS-D-11-0317.1
7. Chen, F., and R. Avissar, 1994: Impact of land-surface moisture variability on local shallow convective cumulus and precipitation in large-scalemodels. J. Appl.Meteor., 33, 1382-1401, doi:10.1175/1520-0450(1994)033,1382:IOLSMV.2.0.CO;2
8. Dalu, G., and R. Pielke, 1989: An analytical study of the sea breeze. J. Atmos. Sci., 46, 1815-1825, doi:10.1175/ 1520-0469(1989)046,1815:AASOTS.2.0.CO;2
9. Dawe, J. T., and P. H. Austin, 2012: Statistical analysis of an LES shallow cumulus cloud ensemble using a cloud tracking algorithm. Atmos.Chem.Phys., 12, 1101-1119, doi:10.5194/acp-12-1101-2012
10. de Rooy,W. C., and Coauthors, 2013: Entrainment and detrainment in cumulus convection: An overview. Quart. J. Roy. Meteor Soc., 139, 1-19, doi:10.1002/qj.1959
11. Fu, Q., and K. N. Liou, 1993: Parameterization of the radiative properties of cirrus clouds. J. Atmos. Sci., 50, 2008-2024, doi:10.1175/1520-0469(1993)050,2008:POTRPO.2.0.CO;2
12. Garcia-Carreras, L., D. J. Parker, and J. H. Marsham, 2011: What is the mechanism for the modification of convective cloud distributions by land surface induced flows? J. Atmos. Sci., 68, 619-634, doi:10.1175/2010JAS3604.1
13. Graf, H.-F., and J. Yang, 2007: Evaluation of a new convective cloud field model: Precipitation over the maritime continent. Atmos. Chem. Phys., 7, 409-421, doi:10.5194/acp-7-409-2007
14. Heus, T., and A. Seifert, 2013: Automated tracking of shallow cumulus clouds in large domain, long duration Large Eddy Simulations. Geosci. Model Dev. Discuss., 6, 2287-2323, doi:10.5194/gmdd-6-2287-2013
15. Heus, T., and Coauthors, 2010: Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications. Geosci. Model Dev., 3, 415-444, doi:10.5194/ gmd-3-415-2010
16. Hohenegger, C., and B. Stevens, 2013: Preconditioning deep convection with cumulus congestus. J. Atmos. Sci., 70, 448-464, doi:10.1175/JAS-D-12-089.1
17. Hohenegger, C., P. Brockhaus, C. S. Bretherton, and C. Schär, 2009: The soil moisture-precipitation feedback in simulations with explicit and parameterized convection. J. Climate, 22, 5003-5020, doi:10.1175/2009JCLI2604.1
18. Huang, H.-Y., and S. A. Margulis, 2013: Impact of soil moisture heterogeneity length scale and gradients on daytime coupled land-cloudy boundary layer interactions. Hydrol. Processes, 27, 1988-2003, doi:10.1002/hyp.9351
19. Jarvis, P. G., 1976: The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field. Philos. Trans. Roy. Soc. London, 273, 593-610, doi:10.1098/rstb.1976.0035
20. Kain, J. S., 2004: The Kain-Fritsch convective parameterization: An update. J. Appl. Meteor., 43, 170-181, doi:10.1175/ 1520-0450(2004)043,0170:TKCPAU.2.0.CO;2
21. Kang, S.-L., and G. H. Bryan, 2011: A large-eddy simulation study of moist convection initiation over heterogeneous surface fluxes. Mon. Wea. Rev., 139, 2901-2917, doi:10.1175/ MWR-D-10-05037.1
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. Koster, R. D., and Coauthors, 2004: Regions of strong coupling between soil moisture and precipitation. Science, 305, 1138- 1140, doi:10.1126/science.1100217
24. Kuang, Z., and 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
25. Kühnlein, C., C. Keil, G. C. Craig, and C. Gebhardt, 2014: The impact of downscaled initial condition perturbations on convective-scale ensemble forecasts of precipitation. Quart J. Roy. Meteor. Soc., 140, 1552-1562, doi:10.1002/qj.2238
26. Lynn, B., W.-K. Tao, and P. Wetzel, 1998: A study of landscapegenerated deep moist convection. Mon. Wea. Rev., 126, 928-942, doi:10.1175/1520-0493(1998)126,0928:ASOLGD.2.0.CO;2
27. Lynn, B., W.-K. Tao, and F. Abramopoulos, 2001: A parameterization for the triggering of landscape-generated moist convection Part I: Analysis of high-resolution model results. J. Atmos Sci., 58, 575-592, doi:10.1175/1520-0469(2001)058,0575: APFTTO.2.0.CO;2
28. Neggers, R. A. J., 2009: A dual mass flux framework for boundary layer convection. Part II: Clouds. J. Atmos. Sci., 66, 1489-1506, doi:10.1175/2008JAS2636.1
29. Neggers, R. A. J., H. J. J. Jonker, and P. Siebesma, 2003: Size statistics of cumulus cloud populations in large-eddy simulations. J. Atmos Sci., 60, 1060-1074, doi:10.1175/1520-0469(2003)60,1060: SSOCCP.2.0.CO;2
30. Petch, J. C., R. Brown, and M. E. B. Gray, 2002: The impact of horizontal resolution on the simulations of convective development over land. Quart. J. Roy. Meteor. Soc., 128, 2031- 2044, doi:10.1256/003590002320603511
31. Pielke, R. A., 2001: Influence of the spatial distribution of vegetation and soils on the prediction of cumulus convective rainfall. Rev. Geophys., 39, 151-177, doi:10.1029/1999RG000072
32. Pincus, R., and B. Stevens, 2009: Monte Carlo spectral integration: Aconsistent approximation for radiative transfer in large eddy simulations. J. Adv. Model. Earth Syst., 1, 1-9, doi:10.3894/ JAMES.2009.1.1
33. Pincus, R., and B. Stevens, 2013: Paths to accuracy for radiation parameterizations in atmospheric models. J. Adv. Model. Earth Syst., 5, 225-233, doi:10.1002/jame.20027
34. Plant, R. S., and G. C. Craig, 2008: A stochastic parameterization for deep convection based on equilibrium statistics. J. Atmos Sci., 65, 87-105, doi:10.1175/2007JAS2263.1
35. Raasch, S., and G. Harbusch, 2001: An analysis of secondary circulations and their effects caused by small-scale surface inhomogeneities using large-eddy simulation. Bound.-Layer Meteor., 101, 31-59, doi:10.1023/A:1019297504109
36. Robinson, F. J., S. C. Sherwood, and Y. Li, 2008: Resonant response of deep convection to surface hot spots. J. Atmos. Sci., 65, 276-286, doi:10.1175/2007JAS2398.1
37. Savic-Jovcic, V., and B. Stevens, 2008: The structure and mesoscale organization of precipitating stratocumulus. J. Atmos. Sci., 65, 1587-1605, doi:10.1175/2007JAS2456.1
38. Schlemmer, L., and C. Hohenegger, 2014: The formation of wider and deeper clouds as a result of cold-pool dynamics. J. Atmos Sci., 71, 2842-2858, doi:10.1175/JAS-D-13-0170.1
39. Schlemmer, L., C. Hohenegger, J. Schmidli, C. S. Bretherton, and C. Schär, 2011: An idealized cloud-resolving framework for the study of midlatitude diurnal convection over land. J. Atmos. Sci., 68, 1041-1057, doi:10.1175/2010JAS3640.1
40. Seifert, A., and K. D. Beheng, 2006: A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 2: Maritime vs. continental deep convective storms. Meteor Atmos. Phys., 92, 67-82, doi:10.1007/s00703-005-0113-3
41. Skamarock, W. C., 2004: Evaluating mesoscale NWP models using kinetic energy spectra. Mon. Wea. Rev., 132, 3019-3032, doi:10.1175/MWR2830.1
42. Stevens, B., and Coauthors, 2005: Evaluation of large-eddy simulations via observations of nocturnal marine stratocumulus. Mon. Wea. Rev., 133, 1443-1462, doi:10.1175/ MWR2930.1
43. Su, H., M. F. McCabe, and E. F. Wood, 2005: Modeling evapotranspiration during SMACEX: Comparing two approaches for local- and regional-scale prediction. J. Hydrometeor., 6, 910-922, doi:10.1175/JHM466.1
44. Sullivan, P., C.-H. Moeng, B. Stevens, D. Lenschow, and S. Mayor, 1998: Structure of the entrainment zone capping the convective atmospheric boundary layer. J. Atmos. Sci., 55, 3042-3064, doi:10.1175/1520-0469(1998)055,3042:SOTEZC.2.0.CO;2
45. Teuling, A. J., and Coauthors, 2010: Contrasting response of European forest and grassland energy exchange to heatwaves. Nat. Geosci., 3, 722-727, doi:10.1038/ngeo950
46. van Heerwaarden, C. C., and J. Vilà-Guerau de Arellano, 2008: Relative humidity as an indicator for cloud formation over heterogeneous land surfaces. J. Atmos. Sci., 65, 3263-3277, doi:10.1175/2008JAS2591.1
47. Wood, R., and P. R. Field, 2011: The distribution of cloud horizontal sizes. J. Climate, 24, 4800-4816, doi:10.1175/ 2011JCLI4056.1
48. Wu, C.-M., B. Stevens, and A. Arakawa, 2009: What controls the transition from shallow to deep convection? J. Atmos. Sci., 66, 1793-1806, doi:10.1175/2008JAS2945.1