Recent Publications

This page lists the most recently-uploaded publications that have been added to the ESD Publications database. Select one or more Research Program(s) to filter the list.

Publication Citation Research Program(s) Revision create time
Ham, S.-H., S. Kato, H.W. Barker, F.G. Rosec, and S. Sun-Mackc (2015), Improving the modelling of short-wave radiation through the use of a 3D scene construction algorithm, Q. J. R. Meteorol. Soc., 141, 1870-1883, doi:10.1002/qj.2491.
Hazra, A., H.S. Chaudhari, S.A. Rao, B.N. Goswami, A. Dhakate, S. Pokhrel, and S.K. Saha (2015), Impact of revised cloud microphysical scheme in CFSv2 on the simulation of the Indian summer monsoon, Int. J. Climatol., 35, 4738-4755, doi:10.1002/joc.4320.
Hong, Y., and G. Liu (2015), The Characteristics of Ice Cloud Properties Derived from CloudSat and CALIPSO Measurements, J. Climate, 28, 3880-3901, doi:10.1175/JCLI-D-14-00666.1.
Huang, Y., C.N. Franklin, C.S.T. Siems, D.M.J. Manton, and A.T. Chubb (2015), Evaluation of boundary-layer cloud forecasts over the Southern Ocean in a limited-area numerical weather prediction system using in situ, space-borne and ground-based observations, Q. J. R. Meteorol. Soc., 141, 2259-2276, doi:10.1002/qj.2519.
Igel, M.R., and S.C. van den Heever (2015), Tropical, oceanic, deep convective cloud morphology as observed by CloudSat, Atmos. Chem. Phys. Discuss., 15, 15977-16017, doi:10.5194/acpd-15-15977-2015.
Igel, M.R., and S.C. van den Heever (2015), The relative influence of environmental characteristics on tropical deep convective morphology as observed by CloudSat, J. Geophys. Res., 120, 4304-4322, doi:10.1002/2014JD022690.
Islam, T., and P.K. Srivastava (2015), Synergistic multi-sensor and multi-frequency retrieval of cloud ice water path constrained by CloudSat collocations, J. Quant. Spectrosc. Radiat. Transfer, 161, 21-34, doi:10.1016/j.jqsrt.2015.03.022.
Iwasaki, S., Z.J. Luo, H. Kubota, T. Shibata, H. Okamoto, and H. Ishimoto (2015), Characteristics of cirrus clouds in the tropical lower stratosphere, Atmos. Res., 164–165, 358-368, doi:10.1016/j.atmosres.2015.06.009.
Janisková, M. (2015), Assimilation of cloud information from space-borne radar and lidar: experimental study using a 1D+4D-Var technique, Q. J. R. Meteorol. Soc., 141, 2708-2725, doi:10.1002/qj.2558.
Johansson, E., A. Devasthale, T. L’Ecuyer, A.M.L. Ekman, and M. Tjernström (2015), The vertical structure of cloud radiative heating over the Indian subcontinent during summer monsoon, Atmos. Chem. Phys., 15, 11557-11570, doi:10.5194/acp-15-11557-2015.
(2015), 93,KAWAI No. 6, pp. et al. 613−628, 2015 613, Meteorological Society of Japan, Vol.H, doi:10.2151/jmsj.2015-045.
Kawamoto, K., and K. Suzuki (2015), Distributional correspondence of 94-GHz radar reflectivity with the variation in water cloud properties over the northwestern Pacific and China, J. Quant. Spectrosc. Radiat. Transfer, 153, 38-48, doi:10.1016/j.jqsrt.2014.10.012.
King, J.M., C.D. Kummerow, S.C. Van Den Heever, and M.R. Igel (2015), Observed and Modeled Warm Rainfall Occurrence and Its Relationships with Cloud Macrophysical Properties, J. Atmos. Sci., 72, 4075-4090, doi:10.1175/JAS-D-14-0368.1.
Jayaraman, S.V.B.R.·.A. (2015), Role of vertical structure of cloud microphysical properties on cloud radiative forcing over the Asian monsoon region V. Ravi Kiran · M. Rajeevan · H. Gadhavi ·, Clim. Dyn., 45, 3331-3345, doi:10.1007/s00382-015-2542-0).
L’Ecuyer, T.S., H.K. Beaudoing, C.M. Rodell, W. Olson, B. Lin, S. Kato, C.A. Clayson, E. Wood, J. Sheffield, R. Adler, G. Huffman, M. Bosilovich, G. Gu, F. Robertson, P.R. Houser, D. Chambers, J.S. Famiglietti, E. Fetzer, W.T. Liu, X. Gao, C.A. Schlosser, E. Clark, D.P. Lettenmaier, and K. Hilburn (2015), The Observed State of the Energy Budget in the Early Twenty-First Century, J. Climate, 28, 8319-8346, doi:10.1175/JCLI-D-14-00556.1.
Waliser, H.L.·.J.K.·.D.E., and P.C.L.·.C.A.M.·.S. McGinnis (2015), Using joint probability distribution functions to evaluate simulations of precipitation, cloud fraction and insolation in the North America Regional Climate Change Assessment Program (NARCCAP), Clim. Dyn., 45, 309-323, doi:10.1007/s00382-014-2253-y).
Li, J.-L.F., W.-L. Lee, T. Lee, E. Fetzer, J.-Y. Yu, T.L. Kubar, and C. Boening (2015), The impacts of cloud snow radiative effects on Pacific Ocean surface heat fluxes, surface wind stress, and ocean temperatures in coupled GCM simulations, J. Geophys. Res., 120, 2242-2260, doi:10.1002/2014JD022538.
Li, R., J. Guo, Y. Fu, Q. Min, Y. Wang, X. Gao, and X. Dong (2015), Estimating the vertical profiles of cloud water content in warm rain clouds, J. Geophys. Res., 120, 10,250-10,266, doi:10.1002/2015JD023489.
Liu, D., Q. Liu, and L. Zhou (2016), School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, 576 Journal Of Meteorological Research, 29, 576-593, doi:10.1007/s13.
Liu, Y. (2015), Estimating errors in cloud amount and cloud optical thickness due to limited spatial sampling using a satellite imager as a proxy for nadir-view sensors, J. Geophys. Res., 120, 6980-6991, doi:10.1002/2015JD023507.