Cluster analysis of tropical clouds using CloudSat data

Geophysical Research Letters

Volumn 34, Issue 12, 2007, Pages

  Zhang, Yujin ^a   Klein, Steve ^a   Mace, Gerald G ^b   Boyle, Jim ^a  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF UTAH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC MOVEMENTS; CLUSTER ANALYSIS; METEOROLOGICAL RADAR; PRECIPITATION (METEOROLOGY);

ATMOSPHERIC CIRCULATION; RADAR REFLECTIVITY;

CLOUDS;

ATMOSPHERIC CIRCULATION; ATMOSPHERIC DYNAMICS; CLOUD MICROPHYSICS; CLUSTER ANALYSIS; GEOGRAPHICAL DISTRIBUTION; MESOSCALE METEOROLOGY; MODIS; RADAR; SATELLITE DATA; TROPICAL METEOROLOGY;

EID: 38849131288     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007GL029336     Document Type: Article

References (21)

1. Anderberg, M. R. (1973), Cluster Analysis for Applications, 359 pp., Academic, New York.
2. Betts, A. K., P. Minnis, W. Ridgway, and D. F. Young (1992), Integration of satellite and surface data using a radiative-convective oceanic boundary-layer model, J. Appl. Meteorol., 31, 340-350.
3. Boccippio, D. J., et al. (2005), The tropical convective spectrum. Part I: Archetypal vertical structures, J. Clim., 18, 2744-2769.
4. Bony, S., et al. (2004), On dynamic and thermodynamic components of cloud changes, Clim. Dyn., 22, 71-86.
5. 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.
6. Hogan, R. J., et al. (2006), The retrieval of ice water content from radar reflectivity factor and temperature and its use in evaluating a mesoscale model, J. Appl. Meteorol. Climatol., 45, 301-317.
7. Im, E., et al. (2006), Cloud profiling radar for the CloudSat mission, IEEE Trans. Aerosp. Electron. Syst., 20, 15-18.
8. Jakob, C., and G. Tselioudis (2003), Objective identification of cloud regimes in the Tropical Western Pacific, Geophys. Res. Lett., 30(21), 2082, doi:10.1029/2003GL018367.
9. Liu, C., and E. J. Zipser (2005), Global distribution of convection penetrating the tropical tropopause, J. Geophys. Res., 110, D23104, doi:10.1029/2005JD006063.
10. Mace, G. G. (2004), Level 2 GEOPROF product process description and interface control document, Coop. Inst. for Res. in the Atmos., Fort Collins, Colo.
11. Mace, G. G., R. Marchand, Q. Zhang, and G. Stephens (2007), Global hydrometeor occurrence as observed by CloudSat: Initial observations from summer 2006, Geophys. Res. Lett., 34, L09808, doi:10.1029/ 2006GL029017.
12. Norris, J. R., and C. P. Weaver (2001), Improved techniques for evaluating GCM cloudiness applied to the NCAR CCM3, J. Clim., 14, 2540-2550.
13. Platnick, S., et al. (2003), The MODIS cloud products: Algorithms and examples from Terra, IEEE Trans. Geosci. Remote Sens., 41, 459-473.
14. Rossow, W. B., and R. A. Schiffer (1999), Advances in understanding clouds from ISCCP, Bull. Am. Meteorol. Soc., 80, 2261-2287.
15. 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.
16. Stephens, G. L., et al. (2002), The CloudSat mission and the A-Train, Bull. Am. Meteorol. Soc., 83, 1771-1790.
17. Viltard, C., et al. (2000), Combined use of the radar and radiometer of TRMM to estimate the influence of drop size distribution on rain retrievals, J. Appl. Meteorol., 39, 2103-2114.
18. Weare, B. C., et al. (1996), Evaluation of the vertical structure of zonally averaged cloudiness and its variability in the Atmospheric Model Intercomparison Project, J. Clim., 9, 3419-3431.
19. Wyant, M. C., et al. (2006), A comparison of low-latitude cloud properties and their response to climate change in three AGCMs sorted into regimes using mid-tropospheric vertical velocity, Clim. Dyn., 27, 261-279.
20. Yuter, S. E., and R. A. Houze (1995), Three-dimensional Kinematic and microphysical evolution of Florida Cumulonimbus. Part II: Frequency distributions of vertical velocity, reflectivity, and differential reflectivity, Mon. Weather Rev., 123, 1941-1963.
21. Zipser, E. J., et al. (2006), Where are the most intense thunderstorms on Earth?, Bull. Am. Meteorol. Soc., 87, 1057-1071.