Evaluation of hydrometeor occurrence profiles in the multiscale modeling framework climate model using atmospheric classification

Journal of Climate

Volumn 22, Issue 17, 2009, Pages 4557-4573

  Marchand, Roger ^a   Beagley, Nathaniel ^b   Ackerman, Thomas P ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODEL; MILLIMETER WAVELENGTH CLOUD RADARS; MULTI-SCALE MODELING; NUMERICAL WEATHER PREDICTION MODELS; RADAR OBSERVATIONS; SOUTHERN GREAT PLAINS; VERTICAL PROFILE;

MATHEMATICAL MODELS; RADAR;

CLOUDS;

ARTIFICIAL NEURAL NETWORK; CLIMATE MODELING; CLOUD; COLD FRONT; DOPPLER RADAR; HYDROMETEOROLOGY; NUMERICAL MODEL; SYNOPTIC METEOROLOGY; WAVELENGTH; WEATHER FORECASTING;

EID: 70350023630     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009JCLI2638.1     Document Type: Article

References (35)

1. Benjamin, S. G., K. Brewster, R. Brummer, B. F. Jewett, T. W. Schlatter, T. L. Smith, and P. A. Stamus, 1991: An isentropic three hourly data assimilation system using ACARS aircraft observations. Mon. Wea. Rev., 119, 888-906.
2. Benjamin, S. G., J. M. Brown, K. J. Brundage, D. Devenyi, B. E. Schwartz, T. G. Smirnova, T. L. Smith, and F.-J. Wang, 1996: Recent upgrades to MAPS/RUC. NOAA Forecast System Laboratory Forum, 33 pp.
3. Bony, S., and J.-L. Dufresne, 2005: Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models. Geophys. Res. Lett., 32, L20806, doi:10.1029/2005GL023851.
4. Bony, S., and Coauthors, 2006: How well do we understand and evaluate climate change feedback processes? J. Climate, 19, 3445-3482.
5. Clothiaux, E. E., T. P. Ackerman, G. G. Mace, K. P. Moran, R. T. Marchand, M. A. Miller, and B. E. Martner, 2000: Objective determination of cloud heights and radar reflectivities using a combination of active remote sensors at the ARM CART sites. J. Appl. Meteor., 39, 645-665.
6. Coleman, J. S. M., and J. C. Rogers, 2007:Asynoptic climatology of the central United States and associations with Pacific teleconnection pattern frequency. J. Climate, 20, 3485-3497.
7. Collins, W. D., and Coauthors, 2006: The formulation and atmospheric simulation of the Community Atmosphere Model Version 3 (CAM3). J. Climate, 19, 2144-2161.
8. DeMott, C. A., D. A. Randall, and M. Khairoutdinov, 2007: Convective precipitation variability as a tool for general circulation model analysis. J. Climate, 20, 91-112.
9. Fereday, D. R., J. R. Knight, A. A. Scalfe, and C. K. Folland, 2008: Cluster analysis of North Atlantic-European circulation types and links with tropical Pacific sea surface temperatures. J. Climate, 21, 3687-3703.
10. Gordon, N. D., J. R. Norris, C. P. Weaver, and S. A. Klein, 2005: Cluster analysis of cloud regimes and characteristic dynamics of midlatitude synoptic systems in observations and a model. J. Geophys. Res., 110, D15S17, doi:10.1029/2004JD005027.
11. Grabowski, W. W., 2001: Coupling cloud processes with the largescale dynamics using the Cloud-Resolving Convection Parameterization (CRCP). J. Atmos. Sci., 58, 978-997.
12. Haykin, S., 1999: Neural Networks: A Comprehensive Foundation. 2nd ed. Prentice Hall Publishers, 842 pp.
13. Haynes, J. M., R. T. Marchand, Z. Luo, A. Bodas-Salcedo, and G. L. Stephens, 2007:Amultipurpose radar simulation package: QuickBeam. Bull. Amer. Meteor. Soc., 88, 1723-1727.
14. Jakob, C., G. Tselioudis, and T. Hume, 2005: The radiative, cloud, and thermodynamic properties of the major tropical western Pacific cloud regimes. J. Climate, 18, 1203-1215.
15. Jung, T., T. N. Palmer, and G. J. Shutts, 2005: Influence of a stochastic parameterization on the frequency of occurrence of North Pacific weather regimes in the ECMWF model. Geophys. Res. Lett., 32, L23811, doi:10.1029/2005GL024248.
16. Khairoutdinov, M. F., and D. A. Randall, 2001: A cloud resolving model as a cloud parameterization in the NCAR community climate model: Preliminary results. Geophys. Res. Lett., 28, 3617-3620.
17. Khairoutdinov, M. F., and D. A. Randall, 2003: Cloud resolving modeling of the ARM Summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities. J. Atmos. Sci., 60, 607-625.
18. Khairoutdinov, M. F., D. A. Randall, and C. DeMott, 2005: Simulations of the atmospheric general circulation using a cloud-resolving model as a superparameterization of physical processes. J. Atmos. Sci., 62, 2136-2154.
19. Kohonen, T., 1995: Self-Organizing Maps. Springer, 501 pp.
20. Lin, W. Y., and M. H. Zhang, 2004: Evaluation of clouds and their radiative effects simulated by the NCAR community atmospheric model against satellite observations. J. Climate, 17, 3302-3318.
21. Marchand, R. T., N. Beagley, S. Thompson, T. P. Ackerman, and D. M. Schultz, 2006: A bootstrap technique for testing the relationship between local-scale radar observations of cloud occurrence and large-scale atmospheric fields. J. Atmos. Sci., 63, 2813-2830.
22. Marchand, R. T., J. Haynes, G. G. Mace, T. Ackerman, and G. Stephens, 2009: A comparison of simulated cloud radar output from the multiscale modeling framework global climate model with CloudSat cloud radar observations. J. Geophys. Res., 114, D00A20, doi:10.1029/ 2008JD009790.
23. McFarlane, S. A., J. H. Mather, and T. P. Ackerman, 2007: Analysis of tropical radiative heating profiles: A comparison of models and observations. J. Geophys. Res., 112, D14218, doi:10.1029/ 2006JD008290.
24. Norris, J. R., and C. P. Weaver, 2001: Improved techniques for evaluating GCM cloudiness applied to the NCAR CCM3. J. Climate, 14, 2540-2550.
25. Ovtchinnikov, M., T. P. Ackerman, R. T. Marchand, and M. Khairoutdinov, 2006: Evaluation of the multiscale modeling framework using data from the atmospheric radiation measurement program. J. Climate, 19, 1716-1729.
26. Randall, D. A., M. F. Khairoutdinov, A. Arakawa, and W. W. Grabowski, 2003: Breaking the cloud-parameterization deadlock. Bull. Amer. Meteor. Soc., 84, 1547-1564.
27. Rossow, W. B., G. Tselioudis, A. Polak, and C. Jakob, 2005: Tropical climate described as a distribution of weather states indicated by distinct mesoscale cloud property mixtures. Geophys. Res. Lett., 32, L21812, doi:10.1029/2005GL024584.
28. Schultz, D. M., 2004: Cold fronts with and without prefrontal wind shifts in the central United States. Mon. Wea. Rev., 132, 2040-2053.
29. Smyth, P., K. Ide, and M. Ghil, 1999: Multiple regimes in Northern Hemisphere height fields via mixture model clustering. J. Atmos. Sci., 56, 3704-3723.
30. Tselioudis, G., and C. Jakob, 2002: Evaluation of midlatitude cloud properties in a weather and a climate model: Dependence on dynamic regime and spatial resolution. J. Geophys. Res., 107, 4781, doi:10.1029/2002JD002259.
31. Tselioudis, G., Y. Zhang, and W. B. Rossow, 2000: Cloud and radiation variations associated with northern midlatitude low and high sea level pressure regimes. J. Climate, 13, 312-327.
32. Williams, K. D., and M. J. Webb, 2008: A quantitative climate performance assessment of cloud regimes in GCMs. Climate Dyn., 29, 231-250, doi:10.1007/s00382-007-0232-2.
33. Wyant, M. C., C. S. Bretherton, J. T. Bacmeister, J. T. Kiehl, I. M. Held, M. Z. Zhao, S. A. Klein, and B. J. Soden, 2006: A comparison of tropical cloud properties and responses in GCMs using mid-tropospheric vertical velocity. Climate Dyn., 27, 261-279, doi:10.1007/ s00382-006-0138-4.
34. Zhang, Y., and Coauthors, 2008: On the diurnal cycle of deep convection, high-level cloud, and upper troposphere water vapor in the multiscale modeling framework. J. Geophys. Res., 113, D16105, doi:10.1029/2008JD009905.
35. Zivkovic, M., and J.-F. Louis, 1992: A new method for developing cloud specification schemes in general circulation models. Mon. Wea. Rev., 120, 2928-2941.