Publications for CloudSat
| Publication Citation |
|---|
| Deng, M., G.G. Mace, and Z. Wang (2016), Anvil Productivities of Tropical Deep Convective Clusters and Their Regional Differences, J. Atmos. Sci., 73, 3467-3487, doi:10.1175/JAS-D-15-0239.1. |
| Desmons, M., N. Ferlay, F. Parol, L. Mcharek, and C. Vanbauce (2013), Improved information about the vertical location and extent of monolayer clouds from POLDER3 measurements in the oxygen A-band, Atmos. Meas. Tech., 6, 2221-2238, doi:10.5194/amt-6-2221-2013. |
| Devasthale, A., and M.A. Thomas (2012), Sensitivity of Cloud Liquid Water Content Estimates to the Temperature-Dependent Thermodynamic Phase: A Global Study Using CloudSat Data, J. Climate, 25, 7297-7307, doi:10.1175/JCLI-D-11-00521.1. |
| Di Giuseppe, F., and A.M. Tompkins (2015), Generalizing Cloud Overlap Treatment to Include the Effect of Wind Shear, J. Atmos. Sci., 72, 2865-2876, doi:10.1175/JAS-D-14-0277.1. |
| Di Michele, S., M. Ahlgrimm, A.R. Forbes, A.M. Kulie, B.R. Bennartz, M. Janiskováa, and P. Bauera (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., 138, 2047-2065. |
| Díaz, J.P., A. González, A.F.J. Exposíto, A.J.C. Pérez, A.J. Fernández, B.M. García-Díezb, and D. Taimaa (2015), WRF multi-physics simulation of clouds in the African region, Q. J. R. Meteorol. Soc., 141, 2737-2749, doi:10.1002/qj.2560. |
| Doan, K., A. Oloso, K. Kuo, and T.L. Clune (2014), Performance Comparison of Big-Data Technologies in Locating Intersections in Satellite Ground Tracks, Conference, Harvard University, December, 2014, 14-16. |
| Dodson, J.B., D.A. Randall, and K. Suzuki (2013), Comparison of observed and simulated tropical cumuliform clouds by CloudSat and NICAM, J. Geophys. Res., 118, 1852-1867, doi:10.1002/jgrd.50121. |
| Dolinar, E.K., X. Dong, B. Xi, J.H. Jiang, and H. Su (2015), Evaluation of CMIP5 simulated clouds and TOA radiation budgets using NASA satellite observations, Clim. Dyn., 44, 2229-2247, doi:10.1007/s00382-014-2158-9. |
| Dongmei, X., T. Auligné, and X.-Y. Huang (2015), A Validation of the Multivariate and Minimum Residual Method for Cloud Retrieval Using Radiance from Multiple Satellites, Advances In Atmospheric Sciences, 32, 349-362. |
| Draft--, M., M. Number:, F. Title:, A. Type:, C. Author:, C.A. Institution:, F. Author:, and M. Classifications: (2016), Dependence of the Ice Water Content and Snowfall Rate on Temperature, Globally: Comparison of In-Situ Observations, Satellite Active Remote Sensing Retrievals and Global Climate Model Simulations, J. Appl. Meteor. Climat.. |
| Eastman, R., and R. Wood (2016), Factors Controlling Low-Cloud Evolution over the Eastern Subtropical Oceans: A Lagrangian Perspective Using the A-Train Satellites, J. Atmos. Sci., 73, 331-351, doi:10.1175/JAS-D-15-0193.1. |
| Eberhard, G., S. D’Amico, and O. Montenbruck (2007), Autonomous Formation Flying for the PRISMA mission, Journal of Spacecraft and Rockets, 44, 671-681, doi:10.2514/1.23015. |
| Efon, E., A. Lenouo, D. Monkam, and D. Manatsa (2016), Cloud properties during active and break spells of the West African summer monsoon from CloudSat–CALIPSO measurements, Journal of Atmospheric and Solar-Terrestrial Physics, 145, 1-11. |
| Ekström, M., and P. Eriksson (2008), Altitude resolved ice-fraction in the uppermost tropical troposphere, Geophys. Res. Lett., 35, L13822, doi:10.1029/2008GL034305. |
| Eliasson, S., G. Holl, S.A. Buehler, T. Kuhn, M. Stengel, F. Iturbide-Sanchez, and M. Johnston (2013), Systematic and random errors between collocated satellite ice water path observations, J. Geophys. Res., 118, 2629-2642, doi:10.1029/2012JD018381. |
| Ellis, T.D., T. L'Ecuyer, J. Haynes, and G. Stephens (2009), How often does it rain over the global oceans? The perspective from CloudSat, Geophys. Res. Lett., 36, L03815, doi:10.1029/2008GL036728. |
| Elsaesser, G., A.D. Del Genio, J. Jiang, and M. van Lier-Walqui (2017), An improved convective ice parameterization for the NASA GISS Global Climate Model and impacts on cloud ice simulation, J. Clim., 30, 317-336, doi:10.1175/JCLI-D-16-0346.1. |
| English, J.M., J.E. Kay, A. Gettelman, X. Liu, Y. Wang, Y. Zhang, and H. Chepfer (2014), Contributions of Clouds, Surface Albedos, and Mixed-Phase Ice Nucleation Schemes to Arctic Radiation Biases in CAM5, J. Climate, 27, 5174-5197, doi:10.1175/JCLI-D-13-00608.1. |
| Eriksson, P., M. Ekström, B. Rydberg, D.L. Wu, R. Austin, and D.P. Murtagh (2008), Comparison between early Odin-SMR, Aura MLS and CloudSat retrievals of cloud ice mass in the upper tropical troposphere, Atmos. Chem. Phys., 8, 1937-1948, doi:10.5194/acp-8-1937-2008. |
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