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Cloud Art
Journal Articles
Science Team
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Publications: 2011

Journal Articles


  • Berry, E., Investigating Cirrus cloud behavior using A-train and geostationary satellite data, M.S. Thesis, Department of Atmospheric Science, University of Utah, available at:
  • Candlish, L., An investigation of atmospheric temperature, humidity and cloud detection technique over the Arctic marine cryosphere, M.S. Thesis, Department of Environment and Geology, University of Manitoba, available at:
  • Chae, J.H., D. L. Wu, W. G. Read, and S. C. Sherwood, The role of tropical deep convective clouds on temperature, water vapor, and dehydration in the tropical tropopause layer (TTL), Atmos. Chem. Phys., 11, 3811-3821, 2011, doi:10.5194/acp-11-3811-2011.
  • Cheng, A., and K.-M. Xu (2011), Improved low-cloud simulation from a multiscale modeling framework with a third-order turbulence closure in its cloud-resolving model component, J. Geophys. Res., 116, D14101, doi:10.1029/2010JD015362.
  • Choi, H.J., Characterization of properties and spatiotemporal fields of mineral aerosol and its radiative impact using CALIPSO data in conjunction with A-Train satellite and ground-based observations and modeling, Ph.D. Thesis, School of Earth and Atmospheric Sciences, Georgia Institute of Technology, available at:
  • Gong, J., and Wu, D.L., CloudSat-constrained cloud ice water path and cloud top height retrievals from MHS 157 and 183 GHz radiances, Atmospheric Measurement Technique Discussion, v 6, n 5, (20130904) p 8187-8233.
  • Govekar, P. D., C. Jakob, M. J. Reeder, and J. Haynes (2011), The three-dimensional distribution of clouds around Southern Hemisphere extratropical cyclones, Geophys. Res. Lett., 38, L21805, doi:10.1029/2011GL049091.
  • Han Ding, Yan Wei, Ren Jian-qi, Zhao Xian-bin. Cloud type classification algorithm for CloudSat satellite based on Support Vector Machine[J]. Trans. Atmos. Sci., 2011,34(5):583-591.
  • Henderson, D. S., A new look at the Earth's radiation balance from an A-train observational perspective, M.S. Thesis, Department of Atmospheric Science, Colorado State University, available at:
  • Igel, Matthew R., A tropical radiation and cloud system feedback modulated by sea surface temperature, M.S. Thesis, Department of Atmospheric Science, Colorado State University, available at:
  • Johnston, M. Satellite measurements and climate modelling of water in the tropical upper troposphere, Licentiate Thesis, Department of Radio and Space Science, Chalmers University of Technology, available at:
  • Josset, D; Tanelli, S.; Hu,Y.; Pelon, J.; Zhai, Analysis of water vapor correction for clouds at W-Band Radar. P. IEEE Trans on Geoscience and Remote Sensing, 51, n 7, Part 1, (2013) p 3812-3825.
  • Lee, Jeonghoon, J. Worden, D. Noone, J. Adkins, K. Bowman, A. Eldering, A. LeGrande, Jui-Lin F. Li, and G. Schmidt, 2011: Relating tropical ocean clouds to moist processes using water vapor isotope measurements, Atmospheric Chemistry and Physics Discussions.
  • Liang, Calvin K. A Multi-Sensor Perspective on the Tropical Interannual Variability of Humidity and Clouds, Ph.D. Thesis, Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, available at:
  • Nam, C. (2011). Using CALIPSO and CloudSat satellite retrievals to evaluate low-level cloud parameterizations in ECHAM5 for cloud-climate feedback implications. PhD Thesis, University of Hamburg, Hamburg. Available at:
  • Protat, A., Bouniol, D., O'Connor, E. J., Baltink, H. Klein, Verlinde, J., Widener, K., CloudSat as a global radar calibrator, Journal of Atmospheric and Oceanic Technology (0739-0572), March 2011. Vol.28,Iss.3;p.445-452.
  • Ray, D. K., V. S. Manoharan, and R. M. Welch (2011), Cloud cover conditions and stability of the Western Ghats montane wet forests, J. Geophys. Res., 116, D12104, doi:10.1029/2010JD015245.
  • Sandu, I. and Bjorn Stevens, 2011: On the Factors Modulating the Stratocumulus to Cumulus Transitions. J. Atmos. Sci., 68, 1865–1881. doi:
  • Smaller, M.; L'Ecuyere, T., Lebsock, M., Haynes, J., A comparison of precipitation occurrence from the NCEP Stage IV QPE product and the Cloudsat CPR., J. Hydrometeorology (20130919).
  • Subrahmanyam, K.V. and Karanam Kishore Kumar, "CloudSat Observations of the Multi Layered Clouds across the Globe: Implications to General Circulation", TROPMET 2011, pp. 198-199, December 14-16, Hyderabad, India.
  • Wang, H., Y. Luo and R. Zhang, Analyzing seasonal variation of clouds over the Asian monsoon regions and the Tibetan plateau region using CloudSat/CALIPSO data, Chinese Journal of Atmospheric Sciences, 35, 1117-1131 (available in Chinese: http:// abstract.aspx?file_no=20110611
  • Watts, P. D., R. Bennartz, and F. Fell (2011), Retrieval of two-layer cloud properties from multispectral observations using optimal estimation, J. Geophys. Res., 116, D16203, doi:10.1029/2011JD015883.
  • Wu, C. H.; M. D. Chou; W. S. Kau: Influence of Marcus convergence zone on western North Pacific summer monsoon. Atmospheric Research, v101 n4 (201109): 863-868.
  • Young, A.H., The characterization of deep convection in the tropical tropopause layer using active and passive satellite observations, Ph.D. Thesis, School of Earth and Atmospheric Science, Georgia Institute of Technology, available at:
  • Yuan, T., L. A. Remer and H. Yu, Microphysical, macrophysical and radiative signatures of volcanic aerosols in trade wind cumulus observed by the A-Train, Atmos. Chem. Phys., 11, 7119–7132. doi:10.5194/acp-11-7119-2011.