Sensitivity of single column model simulations of Arctic springtime clouds to different cloud cover and mixed phase cloud parameterizations

Journal of Geophysical Research: Atmospheres

Volumn 108, Issue 15, 2003, Pages

  Zhang, Junhua ^a   Lohmann, Ulrike ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Arctic clouds; Cloud cover; Cloud parameterization; Mixed phase cloud; Single column model

Indexed keywords

CLOUD COVER; CLOUD MICROPHYSICS; PARAMETERIZATION; SENSITIVITY ANALYSIS;

ARCTIC;

EID: 1342269950     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2002jd003136     Document Type: Article

References (37)

1. Abdella, K., and N. McFarlane, A new second order turbulence closure scheme for the planetary boundary layer, J. Atmos. Sci., 54, 1850-1867, 1997.
2. Beesley, J. A., C. S. Bretherton, C. Jakob, E. L. Andreas, J. M. Intrieri, and T. A. Uttal, A comparison of cloud and boundary layer variables in the ECMWF forecast model with observations at Surface Heat Budget of the Arctic Ocean (SHEBA) ice camp, J. Geophys. Res., 105, 12,337-12,349, 2000.
3. Beheng, K. D., A parameterization of warm cloud microphysical conversion processes, Atmos. Res., 33, 193-206, 1994.
4. Bony, S., and K. A. Emanuel, A parameterization of the cloudiness associated with cumulus convection; evaluation using TOGA COARE data, J. Atmos. Sci., 58, 3158-3183, 2001.
5. Boudala, F. S., G. A. Isaac, S. G. Cober, Q. Fu, and A. V. Korolev, Parameterization of liquid fraction in terms of temperature and cloud water content in stratiform mixed phase clouds, paper presented at the 11th Conference on Cloud Physics, Am. Meteorol. Soc., Ogden, Utah, 2002.
6. Bougeault, P., Modeling the trade-wind cumulus boundary layer: Part 1. Testing the ensemble cloud relations against numerical data, J. Atmos. Sci., 38, 2414-2428, 1981.
7. Curry, J. A., W. B. Rossow, D. Randall, and J. L. Schramm, Overview of Arctic cloud and radiation characteristics, J. Clim., 9, 1731-1764, 1996.
8. Curry, J. A., et al., FIRE Arctic clouds experiment, Bull. Am. Meteorol. Soc., 81, 5-29, 2000.
9. Ghan, S., et al., A comparison of single column model simulations of summertime midlatitude continental convection, J. Geophys. Res., 105, 2091-2124, 2000.
10. Girard, E., and J.-P. Blanchet, Microphysical parameterization of Artic diamond dust, ice fog, and thin stratus for climate models, J. Atmos. Sci., 58, 1181-1198, 2001.
11. Houghton, J. T., L. G. M. Filho, B. A. Callander, N. Harris, A. Kattenberg, and K. Maskell (Eds.), Climate Change 1995, The Science of Climate Change: Intergovernmental Panel on Climate Change, Cambridge Univ. Press, New York, 1996.
12. Intrieri, J. M., M. D. Shupe, T. Uttal, and B. J. McCarty, An annual cycle of Arctic cloud characteristics observed by radar and lidar at SHEBA, J. Geophys. Res., 107(C10), 8030, doi:10.1029/2000JC000423, 2002.
13. Levkov, L., B. Rockel, H. Kapitza, and E. Raschke, 3D mesoscale numerical studies of cirrus and stratus clouds by their time and space evolution, Beitr. Phys. Atmos., 65, 35-58, 1992.
14. Liljegren, J. C., Two-channel microwave radiometer for observations of total column precipitable water vapor and cloud liquid water path, paper presented at the Fifth Symposium on Global Change Studies, Am. Meteorol. Soc., Nashville, Tenn., 1994.
15. Lin, B., P. Minnis, A. Fan, J. A. Curry, and H. Gerber, Comparison of cloud liquid water paths derived from in situ and microwave radiometer data taken during the SHEBA/FIREACE, Geophys. Res. Lett., 28, 975-978, 2001.
16. Lohmann, U., and E. Roeckner, Design and performance of a new cloud microphysics scheme developed for the ECHAM general circulation model, Clim. Dyn., 12, 557-572, 1996.
17. Lohmann, U., N. McFarlane, L. Levkov, K. Abdella, and F. Albers, Comparing different cloud schemes of a single column model by using mesoscale forcing and nudging technique, J. Clim., 12, 438-461, 1999.
18. Lohmann, U., J. Humble, W. R. Leaitch, G. A. Isaac, and I. Gultepe, Simulations of ice clouds during FIRE ACE using the CCCma single-column model, J. Geophys. Res., 106, 15,123-15,138, 2001.
19. Randall, D., J. Curry, D. Battisti, G. Flato, R. Grumbine, S. Hakkinen, D. Martinson, R. Preller, J. Walsh, and J. Weatherly, Status of and outlook for large-scale modeling of atmosphere-ice-ocean interactions in the Arctic, Bull, Am. Meteorol., 79, 197-219, 1998.
20. Rotstayn, L. D., A physical based scheme for the treatment of stratiform clouds and precipitation in large-scale models: I. Description and evaluation of the microphysical processes, Q. J. R. Meteorol. Soc., 123, 1227-1282, 1997.
21. Shupe, M. D., T. Uttal, S. Y. Matrosov, and A. S. Frisch, Cloud water contents and hydrometeor sizes during the FIRE Arctic clouds experiment, J. Geophys. Res., 106, 15,015-15,028, 2001a.
22. Shupe, M. D., T. Uttal, S. Y. Martrosov, A. S. Frisch, and B. W. Orr, Radar-based retrievals of cloud properties in the Arctic and new results from SHEBA, paper presented at the Eleventh ARM Science Meeting Proceeding, Atlanta, Ga., 2001b.
23. Smith, R. N. B., A scheme for predicting layer clouds and their water content in a general circulation model, Q. J. R. Meteorol. Soc., 116, 435-460, 1990.
24. Sommeria, G., and J. W. Deardorff, Subgrid-scale condensation in models of nonprecipitating clouds, J. Atmos. Sci., 34, 344-355, 1977.
25. Sundqvist, H., A parameterization scheme for non-convective condensation, including prediction of cloud water content, Q. J. R. Meteorol. Soc., 104, 677-690, 1978.
26. Sundqvist, H., E. Berge, and J. E. Kristjansson, Condensation and cloud parameterization studies with a mesoscale numerical weather prediction model, Mon. Weather Rev., 117, 1641-1657, 1989.
27. Tiedtke, M., Representation of clouds in large-scale models, Mon. Weather Rev., 121, 3040-3061, 1993.
28. Tompkins, A. M., A prognostic parameterization for the subgrid-scale variability of water vapor and clouds in large-scale models and its use to diagnose cloud cover, J. Atmos. Sci., 59, 1917-1942, 2002.
29. Uttal, T., et al., Surface heat budget of the Arctic ocean, Bull. Am. Meteorol. Soc., 83, 255-275, 2002.
30. 2 concentrations, J. Geophys. Res., 105, 9741-9765, 2000.
31. Wang, Z., and K. Sassen, Cirrus cloud microphysical property retrieval using lidar and radar measurements: Part II. Midlatitude cirrus microphysical and radiative properties, J. Atmos. Sci., 59, 2291-2302, 2002.
32. Wood, R., and P. R. Field, Relationships between total water, condensed water, and cloud fraction in stratiform clouds examined using aircraft data, J. Atmos. Sci., 57, 1888-1905, 2000.
33. Xu, K.-M., and S. K. Krueger, Evaluation of cloudiness parameterizations using a cumulus ensemble model, Mon. Weather Rev., 119, 342-367, 1991.
34. Xu, K.-M., and D. A. Randall, A semiempirical cloudiness parameterization for use in climate models, J. Atmos. Sci., 53, 3084-3102, 1996a.
35. Xu, K.-M., and D. A. Randall, Evaluation of statistically based cloudiness parameterizations used in climate models, J. Atmos. Sci., 53, 3103-3119, 1996b.
36. Zhang, G. J., and N. A. McFarlane, Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian Climate Centre General Circulation Model, Atmos. Ocean, 33, 407-446, 1995.
37. Zhang, J., U. Lohmann, and B. Lin, A new statistically based autoconversion rate parameterization for use in large-scale models, J. Geophys. Res., 107(D24), 4750, doi:10.1029/2001JD001484, 2002.