Publications: 2012

2012

• Adhikari, L., Z Wang, M Deng.: Seasonal variations of Antarctic clouds observed by CloudSat and CALIPSO satellites , Journal of geophysical research. 117, no. D4, (2012): D04202.

• Adhikari, L., 2012: “Study of cloud properties and processes in the polar regions by combining satellite and ground-based remote sensing measurements”, PhD Thesis, University of Wyoming, Publication Number AAT 3547361; ISBN: 9781267820068, available online at http://adsabs.harvard.edu/abs/2012PhDT.......200A.

• Barker H.W., Kato S., Wehr T.: Computation of Solar Radiative Fluxes by 1D and 3D Methods Using Cloudy Atmospheres Inferred from A-train Satellite Data, Surveys in Geophysics, v33 n3-4 (2012 07 01): 657-676.

• Bedka, K.M., Richard Dworak, Jason Brunner, Wayne Feltz.: VALIDATION OF SATELLITE-BASED OBJECTIVE OVERSHOOTING CLOUD TOP DETECTION METHODS USING CLOUDSAT CLOUD PROFILING RADAR OBSERVATIONS, Journal of Applied Meteorology and Climatology, (20120507): 120507134706001.

• Behrangi A., Casey S.P.F., Lambrigtsen B.H., 2012: Three-dimensional distribution of cloud types over the USA and surrounding areas observed by CloudSat, International Journal of Remote Sensing, v33 n16 (2012 08 01): 4856-4870.

• Behrangi, A., M. Lebsock, S. Wong, and B. Lambrigtsen, 2012: On the quantification of oceanic rainfall using spaceborne sensors, J. Geophys. Res., 117, D20105.

• Behrangi, A, T. Kubar, B. Lambrigtsen, 2012: Phenomenological Description of Tropical Clouds Using Cloudsat Cloud Classification, Monthly Weather Review, v140 n10 (2012 10 01): 3235-3249.

• Behrangi, A., M. Lebsock, S. Wong, B. Lambrigtsen, On the quantification of oceanic rainfall using space-borne sensors, J. of Geophysical Research, 117(D20), D20105.

• Boening, C., M. Lebsock, F. Landerer, and G. Stephens, 2012: Snowfall-driven mass change on the East Antarctic ice sheet, Geophys. Res. Lett., 39, L21501.

• Booth J. F., C. M. Naud, and A. D. Del Genio, 2013: Diagnosing warm frontal cloud formation in a GCM: a novel approach using conditional subsetting. J. Climate.

• Bouniol, D., Fleur Couvreux, Pierre-Honoréamsu-Tamo, Madeleine Leplay, Françse Guichard, Florence Favot, and Ewan J. O'Connor, 2012: Diurnal and seasonal cycles of cloud occurrences, types and radiative impact over West Africa, Journal of Applied Meteorology and Climatology, Journal of Applied Meteorology and Climatology, 51, no. 3 (2012): 534-553.

• Boutle, I. A., S. J. Abel, P. G. Hill, and C. J. Morcrette, 2013: Spatial variability of liquid cloud and rain: observations and microphysical effects. Q.J.R. Meteorol. Soc.

• Bromwich, D. H., et al. (2012), Tropospheric clouds in Antarctica, Rev. Geophys., 50, RG1004, doi:10.1029/2011RG000363.

• Casey, S. P. F., E. J. Fetzer, and B. H. Kahn, Revised identification of tropical oceanic cumulus congestus as viewed by CloudSat, Atmos. Chem. Phys., 12, 1587-1595, 2012. doi:10.5194/acp-12-1587-2012

• Cesana, G., Kay, J. E., Chepfer, H., English, J.M., and G. de Boer (2012), Ubiquitous low-level liquid-containing Arctic clouds: New observations and climate model constraints from CALIPSO-GOCCP, Geophys. Res. Lett., 39, L20804, doi:10.1029/2012GL053385.

• Cheng, A., K.-M. Xu, Y. Hu, and S. Kato (2012), Impact of a cloud thermodynamic phase parameterization based on CALIPSO observations on climate simulation, J. Geophys. Res., 117, D09103, doi:10.1029/2011JD017263.

• Christensen, M. W., and G. L. Stephens (2012), Microphysical and macrophysical responses of marine stratocumulus polluted by underlying ships: 2. Impacts of haze on precipitating clouds, J. Geophys. Res., 117, D11203, doi:10.1029/2011JD017125.

• Christensen, M.W., Microphysical and macrophysical responses of marine stratocumulus polluted by underlying ships, PhD Thesis, Department of Atmospheric Science, Colorado State University, available online at: http://gradworks.umi.com/35/23/3523632.html

• Del Genio, Anthony D., Yonghua Chen, Daehyun Kim, Mao-Sung Yao, 2012: The MJO Transition from Shallow to Deep Convection in CloudSat/CALIPSO Data and GISS GCM Simulations. J. Climate, 25, 3755-3770. doi: http://dx.doi.org/10.1175/JCLI-D-11-00384.1

• Devasthale, A., M. Tjenström, M. Caian, M. A. Thomas, B. H. Kahn, and E. J. Fetzer (2012), Influence of the Arctic Oscillation on the vertical distribution of clouds as observed by the A-train constellation of satellites, Atmos. Chem. Phys., 12, 10535–10544

• Di Michele, S., Ahlgrimm, M., Forbes, R., Kulie, M., Bennartz, R., Janisková, M. and Bauer, P. (2012), Interpreting an evaluation of the ECMWF global model with CloudSat observations: ambiguities due to radar reflectivity forward operator uncertainties. Q.J.R. Meteorol. Soc.

• Evans, K. F., J. R. Wang, D. O'C Starr, G. Heymsfield, L. Li, L. Tian, R. P. Lawson, A. J. Heymsfield, and A. Bansemer, 2012: Ice hydrometeor profile retrieval algorithm for high frequency microwave radiometers: Application to the CoSSIR instrument during TC4. Atmos. Meas. Tech., 5, 2277-2306.

• Faijan, F., L. Lavanant, and F. Rabier (2012), Towards the use of cloud microphysical properties to simulate IASI spectra in an operational context, J. Geophys. Res., 117, D22205, doi:10.1029/2012JD017962

• Forsythe, J.M., J. B. Dodson, P. T. Partain, S. Q. Kidder and T. H. Vonder Haar, 2012: How total precipitable water anomalies relate to cloud vertical structure. J. Hydromet., Journal of Hydrometeorology, 13, no. 2 (2012): 709-721.

• Fromm, M., R. McRae, J. Sharples, G.P. Kablick III, 2012: Pyrocumulonimbus Pair in Wollemi and Blue Mountains National Parks, 22 November 2006, Australian Meteorological and Oceanographic Journal, 62, 117-126.

• Gayet, J.-F., G. Mioche, L. Bugliaro, A. Protat, A. Minikin, M. Wirth, A. Dörnbrack, B. Mayer , A. Garnier, and C. Gourbeyre, 2012 : On the observation of unusual high concentration of small chain-like aggregate ice crystals and large ice water contents near the top of a deep convective cloud during the CIRCLE-2 experiment. Atmos. Chem. Phys., 1(2), 727–7441.

• Girard, E., Dueymes, G., Du, P., Bertram, A.K., Assessment of the effects of acid-coated ice nuclei on the Arctic cloud microstructure, atmospheric dehydration, radiation and temperature during winter. Int'l Journal of Climatology, v 33, n 3 (15 March 2013) p 599-614.

• Guignard A., Stubenrauch C.J., Armante R., Baran A.J., Bulk microphysical properties of semi-transparent cirrus from AIRS: A six year global climatology and statistical analysis in synergy with geometrical profiling data from CloudSat-CALIPSO, Atmospheric Chemistry and Physics, v12 n1 (2012 01 16): 503-525.

• Ham, S.-H., S. Kato, H. W. Barker, F. G. Rose, and S. Sun-Mack (2014), Effects of 3-D clouds on atmospheric transmission of solar radiation: Cloud type dependencies inferred from A-train satellite data, J. Geophys. Res. Atmos., 119, doi:10.1002/2013JD020683

• Ham, S.E. and Byung-Ju Sohn, Vertical-Homogeneity Assumption Causing Inconsistency Between Visible- and Infrared-Based Cloud Optical Properties, IEEE Geosci. Remote Sens. Lett., 9, 531-535, 10.1109/LGRS.2011.2173292

• Haynes, et al, Radiative heating characteristics of earth's cloudy atmosphere from vertically resolved active sensors (2012GL054499R), Geophysical Research Letters.

• Henderson, D., T. S. L’Ecuyer, G. Stephens, P. Partain, and M. Sekiguchi, 2012: “A Multi-sensor Perspective on the Radiative Impacts of Clouds and Aerosols”, J. Geophys. Res.

• Hill P. G., R. J. Hogan, J. Manners and J. C. Petch, 2012: Parametrizing the horizontal inhomogeneity of ice water content using CloudSat data products. Quarterly Journal of the Royal Meteorological Society, v138 n668, p1784-1793.

• Hogan, R. J., L. Tian, P. R. A. Brown, C. D. Westbrook, A. J. Heymsfield and J. D. Eastment, 2012: Radar scattering from ice aggreates using the horizontally aligned oblate spheroid approximation. J. Appl. Meteorol. Climatology, 51, 655-671.

• Huang Y., Siems S.T., Manton M.J., Hande L.B., Haynes J.M, The structure of low-altitude clouds over the Southern Ocean as seen by CloudSat, Journal of Climate, v25 n7 (2012 04 01): 2535-2546.

• Huang, Y., S. T. Siems, M. J. Manton, A. Protat, and J. Delanoë : A study on the low-altitude clouds over the Southern Ocean using the DARDAR-MASK. J. Geophys. Res., Volume 117, Issue D18, September 2012.

• Huang, Y.; Steven T Siems; Michael J Manton; Luke B Hande; John M Haynes, The Structure of Low-Altitude Clouds over the Southern Ocean as Seen by CloudSat, Journal of Climate, 25, no. 7 (2012): 2535-2546.

• Iwasaki, S., T. Shibata, H. Okamoto, H. Ishimoto, and H. Kubota (2012), Mixtures of stratospheric and overshooting air measured using A-Train sensors, J. Geophys. Res., 117, D12207, doi:10.1029/2011JD017402.

• Janiskova M., Lopez P., Bauer P., Experimental 1D + 4D-Var assimilation of CloudSat observations, Quarterly Journal of the Royal Meteorological Society, v138 n666 (2012 07 01): 1196-1220.

• Jiang, J. H., H. Su, C. Zhai, V. S. Perun, A. del Genio, L. S. Nazarenko, L. J. Donner, L. Horowitz, C. Seman, J. Cole, A. Gettelman, T. Wu, T. L'Ecuyer, M. Ringer, J.-L. Dufresne, W. G. Read, J. W. Waters, G. Stephens, J. Teixeira, and B. Tian, 2012: Evaluation of cloud and water vapor simulations in the IPCC AR5 models using NASA A-Train satellite observations, J. Geophys. Res. 117.

• Jin, Hongchun 1980- (2012). Satellite Remote Sensing of Mid-level Clouds. Doctoral dissertation, Texas A&M University. Available electronically from http : / /hdl .handle .net /1969 .1 /148185.

• Johnston, M. S., P. Eriksson, S. Eliasson, C. G. Jones, R. M. Forbes, D. P. Murtagh, 2012. The representation of tropical upper tropospheric water in EC Earth V2. Clim. Dyn., 39, 2713-2731

• Joiner, J., A. P. Vasilkov, P. Gupta, P. K. Bhartia, P. Veefkind, M. Sneep, J. de Haan, I. Polonsky, and R. Spurr, Fast simulators for satellite cloud optical centroid pressure retrievals; evaluation of OMI cloud retrievals, Atmos. Meas. Tech., 5, 529-545, 2012. doi:10.5194/amt-5-529-2012. DOI: 10.1029/2011JD016959

• Josset D., Zhai P.-W., Lucker P., Pelon J., Garnier A., Hu Y., Vaughan M., Kuehn R., Cirrus optical depth and lidar ratio retrieval from combined CALIPSO-CloudSat observations using ocean surface echo, Journal of Geophysical Research D: Atmospheres, v117 n5 (2012 03 22).

• Jouan, C., E. Girard, J. Pelon, I. Gultepe, J. Delanoë, and J.-P. Blanchet (2012), Characterization of Arctic ice cloud properties observed during ISDAC, J. Geophys. Res., 117, D23207, doi:10.1029/2012JD017889.

• Kato, S., Loeb N.G., Rutan D.A., Rose F.G., Sun-Mack S., Miller W.F., Chen Y., Uncertainty Estimate of Surface Irradiances Computed with MODIS-, CALIPSO-, and CloudSat-Derived Cloud and Aerosol Properties, Surveys in Geophysics, v33 n3-4 (2012 07 01): 395-412.

• Kawai, H., and João Teixeira, Probability Density Functions of Liquid Water Path and Total Water Content of Marine Boundary Layer Clouds: Implications for Cloud Parameterization, Journal of Climate, v25 n6 (2012 03 01): 2162-2177.

• Kawamoto, K., and K. Suzuki: 2012, Microphysical transition in water clouds over the Amazon and China derived from space-borne radar and radiometer data, J. Geophys. Res., 117, D05212.

• Kawamoto, K., and K. Suzuki, 2012: Comparison of water cloud microphysics over mid-latitude land and ocean using CloudSat and MODIS observations. J. Quant. Spec. Rad. Trans., in revision.

• Kay, J. E., Hillman, B., Klein, S., Zhang, Y., Medeiros, B., Gettelman, G., Pincus, R., Eaton, B., Boyle, J., Marchand, R. and T. Ackerman (2012), Exposing global cloud biases in the Community Atmosphere Model (CAM) using satellite observations and their corresponding instrument simulators, J. Climate, 25, 5190-5207, doi: http://dx.doi.org/10.1175/JCLI-D-11-00469.1

• Kodama C., Noda A.T., Satoh M., An assessment of the cloud signals simulated by NICAM using ISCCP, CALIPSO, and CloudSat satellite simulators, Journal of Geophysical Research D: Atmospheres, v117 n12 (2012 07 09).

• Laplante A., Henson W., Stewart R., Characterization of cloud and precipitation features over Southern Baffin Island and adjacent areas during STAR, Atmosphere - Ocean, v50 n1 (2012 07 19): 54-69.

• Leahy, L. V., R. Wood, R. J. Charlson, C. A. Hostetler, R. R. Rogers, M. A. Vaughan, and D. M. Winker, 2012: On the nature and extent of optically thin marine low clouds, J. Geophys. Res., 117, D22201

• Lee, D., L. Oreopoulos, G.J. Huffman, W.B. Rossow, and I.-S. Kang (2012). The precipitation characteristics of ISCCP tropical weather states, J.Climate.

• Lenouo A., 2012: Climatology of anomalous propagation radar over Douala Cameroon, Meteorol. Appl. DOI: 10.1002/met.1321, ISSN: 1469-8080.

• Li, J.-L. F., D. E. Waliser, W.-T. Chen, B. Guan, T. Kubar, G. Stephens, H-Y Ma, D. Ming, L. Donner, C. Seman, and L. Horowitz, (2012), An Observation-Based Evaluation of Cloud Ice Water in CMIP3 and CMIP5 GCMs and Contemporary Analyses, J. Geophys. Res.

• Liu, Y., J. R. Key, S. A. Ackerman, G. Mace and Q. Zhang, 2012: Arctic Cloud Macrophysical Characteristics from CloudSat and CALIPSO. Remote Sensing of Environment 124, 159–173.

• Luo, Y., H. Wang, R. Zhang, W. Qian, and Z. Luo, 2012: Comparison of rainfall characteristics and convective properties of monsoon precipitation systems over South China and Yangtze-and-Huai River Basin, Journal of Climate, v26 n1 (2013 01 01): 110-132.

• Ma, H.-Y.,M. Köhler, J.-L. F. Li, J. D. Farrara, C. R.Mechoso, R. M. Forbes, and D. E. Waliser (2012), Evaluation of an ice cloud parameterization based on a dynamical-microphysical lifetime concept using CloudSat observations and the ERA-Interim reanalysis, J. Geophys. Res., 117, D05210.

• Ma Y., Xue H., A study of aerosol effects on stratocumulus clouds using CloudSat and MODIS data, Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis, v48 n2 (2012 03 01): 239-245.

• Magee, N. and Kavic, M., Probing the climatological impact of a cosmic ray–cloud connection through low-frequency radio observations, Journal of Atmospheric and Solar-Terrestrial Physics, Volume 74, January 2012, Pages 224–231. DOI: 10.1016/j.jastp.2011.10.003

• Marchand, R. (2012), Spatial correlation of hydrometeor occurrence, reflectivity, and rain rate from CloudSat, J. Geophys. Res., 117, D06202.

• Matrosov, S.Y., 2012: Observations of Winter-time US West Coast Precipitating Systems with W-band Satellite Radar and Other Spaceborne Instruments, Journal of Hydrometeorology, 13, no. 1 (2012): 223-238.

• McCarty, W., Ronald M Errico, Ronald Gelaro, Cloud Coverage in the Joint OSSE Nature RunM, Monthly Weather Review, 140, no. 6 (2012): 1863-1871.

• Mittermaier, M.P. and Bullock, R., Using MODE to explore the spatial and temporal characteristics of cloud cover forecasts from high-resolution NWP models. Meteorological Applications, v 20, n2 (June 2013) p 187-196.

• Mitrescu, C., L'Ecuyer T., Haynes J., Miller S., Turk J., 2012: CloudSat precipitation profiling algorithm-model. Journal of Applied Meteorology and Climatology, v49 n5 (2010 05 01): 991-1003.

• Munchak, S.J., Skofronick-Jackson, G., Evaluation of precipitation detection over various surfaces from passive microwave imagers and sounders, Atmos. Res. (2012)

• Naeger, A. R., S. A. Christopher, R. Ferrare, and Z. Liu (2012), A New Technique Using Infrared Satellite Measurements to Improve the Accuracy of the CALIPSO Cloud-Aerosol Discrimination Method, IEEE Transactions on Geoscience and Remote Sensing.

• Nam C.C.W., Quaas J., Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and cloudsat satellite data, Journal of Climate, v25 n14 (2012 07 01): 4975-4992.

• Naud C. M., D. J Posselt and S. C. van den Heever, 2012, "Observational analysis of cloud and precipitation in midlatitude cyclones: northern versus southern hemisphere warm fronts", J. Climate, 25, 5135-5151.

• Nayak, Michael, Mona Witkowski, Deborah Vane, Thomas Livermore, Mark Rokey, Marda Barthuli, Ian J. Gravseth, et al., 2012: CloudSat anomaly recovery and operational lessons learned, In 12th Int. Conf. SpaceOps, Stockholm, Sweden.

• Niu, F. and Li, Z., Systematic variations of cloud top temperature and precipitation rate with aerosols over the global tropics, Atmos. Chem. Phys., 12, 8491-8498, 2012. doi:10.5194/acp-12-8491-2012

• Nussbaumer, E. A., and R. T. Pinker (2012), Estimating surface longwave radiative fluxes from satellites utilizing artificial neural networks, J. Geophys. Res., 117, D07209, doi:10.1029/2011JD017141.

• Oreopoulos, L., Lee, D., Sud, Y. C., and Suarez, M. J.: Radiative impacts of cloud heterogeneity and overlap in an atmospheric General Circulation Model, Atmos. Chem. Phys., 12, 9097-9111, doi:10.5194/acp-12-9097-2012, 2012.

• Rajeevan, M., P Rohini, K Niranjan Kumar, J Srinivasan, C K Unnikrishnan, A study of vertical cloud structure of the Indian summer monsoon using CloudSat data, Climate Dynamics.

• Sassen K., Wang Z., The Clouds of the Middle Troposphere: Composition, Radiative Impact, and Global Distribution, Surveys in Geophysics, v33 n3-4 (2012 07 01): 677-691.

• Sindhu, KD; Bhat, GS., Comparison of Cloudsat and TRMM reflectivities, Journal of Earth System Science, v 122, n 4 (20130801) p 947-956.

• Song, Xiaoliang, G. J. Zhang, J-L F. Li, (212), Evaluation of Microphysics Parameterization for Deep Convective Clouds in the NCAR Community Atmosphere Model CAM5, J. Climate.

• Stanfield, R., Assessment of NASA GISS CMIP5 ModelE simulated clouds and TOA radiation budgets using satellite observations over the southern mid-latitudes, M.S. Thesis, Department of Atmospheric Sciences, University of North Dakota, available at: http://search.proquest.com/docview/1318501108

• Stengel, M., Mieruch, S., Jerg, M., Karlsson, K. G., Scheirer, R., Meirink, B. M. K. J., ... & Hollmann, R. Publications, presentations and other activities The Clouds Climate Change Initiative: Assessment of state-of-the-art cloud property retrieval schemes applied to AVHRR heritage measurements 2013.

• Stephens, G. L., Martin Wild, Paul W. Stackhouse Jr, Tristan L'Ecuyer, Seiji Kato, and David S. Hendersen, 2012: The global character of the flux of downward longwave radiation, Journal of Climate, 25, no. 7 (2012): 2329-2340.

• Su, H., and J. H. Jiang (2012), Tropical Clouds and Circulation Changes During the 2006-07 and 2009-10 El Niños , J. Climate, 26, 399–413.

• Suzuki, K., G. L. Stephens, and M. D. Lebsock, 2012: Aerosol effect on the warm rain formation process: satellite observations and modeling. J. Geophys. Res.

• Takahashi, H. and Z. Luo, 2012: Where is the level of neutral buoyancy for deep convection? Geophys. Res. Letts., 39, L15809.

• Theriault, J.M., R E Stewart, W Henson, Impacts of terminal velocity on the trajectory of winter precipitation types, Atmospheric Research, v116 (20121015): 116-129.

• Tompkins, A. M. and A. A. Adebiyi, 2012: Using CloudSat cloud retrievals to differentiate satellite-derived rainfall products over West Africa, J. Hydrometeor., 13, 1810-1816.

• Wang, Y., G. Liu, E.-K. Seo, and Y. Fu, 2012: Liquid water in snowing clouds: Implications for satellite remote sensing of snowfall. Atmos. Res.

• Wang, H., and W. Su, 2013: Evaluating and understanding top of the atmosphere cloud radiative effects in Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) Coupled Model Intercomparison Project Phase 5 (CMIP5) models using satellite observations, J. Geophys. Res., 118, doi:10.1029/2012JD018619.

• Wang, M., S. Ghan, X. Liu, T. L'Ecuyer, K. Zhang, H. Morrison, M. Ovchinnikov, R. Easter, R. Marchand, D. Chand, Y. Qian, and J. E. Penner, 2012: Constraining cloud lifetime effects of aerosols using A-Train satellite observations, Geophys. Res. Letters 39

• Welliver, Elizabeth A, Philip A Durkee, Remote detection of cloud base heights using CloudSat and CALIPSO, California Naval Postgraduate School 2012-03-14T17:43:14Z 2012-03-14T17:43:14Z 2009-03.

• Wilson, A. B., D. H. Bromwich, and K. M. Hines (2012), Evaluation of Polar WRF forecasts on the Arctic System Reanalysis Domain: 2. Atmospheric hydrologic cycle, J. Geophys. Res., 117, D04107, doi:10.1029/2011JD016765.

• Wood, R., D. Leon, M. Lebsock, J. Snider, and A. D. Clarke, 2012: Precipitation driving of droplet concentration variability in marine low clouds, J. Geophys. Res., 117, D19210.

• Wood, R., 2012: Stratocumulus Clouds. Mon. Wea. Rev., 140, 2373–2423

• Wrenn, Forrest, M.S, Documenting hydrometeor layer occurrence within International Satellite Cloud Climatology Project-defined cloud classifications using CLOUDSAT and CALIPSO, M.S. Thesis, Department of Atmospheric Science, THE UNIVERSITY OF UTAH, 2012, 75 pages; 1508181, available at: http://gradworks.umi.com/15/08/1508181.html

• Yang, S.; X Zou, Assessments of cloud liquid water contributions to GPS radio occultation refractivity using measurements from COSMIC and CloudSat, Journal of Geophysical Research, v117 nD6 (20120330).

• Yan Wei, Han Ding, Zhao Xian-bin, Zhou Xiao-ke, 2012: Comparative research of cloud boundary heights based on millimeter-wave radar, radio occultation and radiosonde data [J]. Chinese J. Geophys., 55(7):2212-2226.

• Yang, S., X Zou, Assessments of cloud liquid water contributions to GPS radio occultation refractivity using measurements from COSMIC and CloudSat, Journal of Geophysical Research, v117 nD6 (20120330).

• Yoo, H. and Li, Z., Evaluation of cloud properties in the NOAA/NCEP global forecast system using multiple satellite products, Climate Dynamics December 2012, Volume 39, Issue 12, pp 2769-2787

• You, Y., and G. Liu, 2012: The relationship between surface rainrate and water paths and its implications to satellite rainrate retrieval, J. Geophys. Res., 117, D13207

• Young, A. H., J. J. Bates, and J. A. Curry, 2012: Complementary use of passive and active remote sensing for detection of penetrating convection from CloudSat, CALIPSO, and Aqua MODIS, J. Geophys. Res., 117, D13205.

• Zhang, D., Z. Wang, A. Heymsfield, J. Fan, D. Liu, and M. Zhao, 2012: Quantifying the impact of dust on heterogeneous ice generation in midlevel supercooled stratiform clouds, Geophys. Res. Lett., 39, L18805.

• Zygmuntowska, M., T. Mauritsen, J. Quaas, and L. Kaleschke, Arctic Clouds and Surface Radiation – a critical comparison of satellite retrievals and the ERA-Interim reanalysis, Atmos. Chem. Phys., 12, 6667-6677, 2012. doi:10.5194/acp-12-6667-2012