Characterization of cloud microphysical properties in different cloud types over East Asia based on CloudSat/CALIPSO satellite products
Tài liệu tham khảo
Austin, 2009, Retrieval of ice cloud microphysical parameters using the CloudSat millimeter-wave radar and temperature, J. Geophys. Res., 114, D00A23
Barker, 2008, A comparison between CloudSat and aircraft data for a multilayer, mixed phase cloud system during the Canadian CloudSat-CALIPSO Validation Project, J. Geophys. Res., 113, D00A16
Cheng, 2015, Variation in entrainment rate and relationship with cloud microphysical properties on the scale of 5 m, Sci. Bull., 60, 707, 10.1007/s11434-015-0737-8
Gao, 2014, A study of macrophysical and microphysical properties of warm clouds over the Northern Hemisphere using CloudSat/CALIPSO data: Properties of Warm Clouds over NH, J. Geophys. Res., 119, 3268, 10.1002/2013JD020948
Horvath, 2007, Comparison of microwave and optical cloud water path estimates from TMI, MODIS, and MISR, J. Geophys. Res., 112, D01202
Li, 2008, Comparisons of satellites liquid water estimates to ECMWF and GMAO analyses, 20thcentury IPCC AR4 climate simulations, and GCM simulations, Geophys. Res. Lett., 35, L19710, 10.1029/2008GL035427
Li, 2015, A preliminary evaluation of global and East Asian cloud radiative effects in reanalyses, Atmos. Ocean. Sci. Lett., 8, 100, 10.1080/16742834.2015.11447245
Mace, 2007, Global hydrometeor occurrence as observed by CloudSat: Initial observations from summer 2006, Geophys. Res. Lett., 34, L09808, 10.1029/2006GL029017
Miao, 2019, An evaluation of cloud vertical structure in three reanalyses against CloudSat/cloud-aerosol lidar and infrared pathfinder satellite observations, Atmos. Sci. Lett., 20, e906, 10.1002/asl.906
Sassen, 2008, Classifying clouds around the globe with the CloudSat radar: 1-year of results, Geophys. Res. Lett., 35, L04805, 10.1029/2007GL032591
Slingo, 1990, Sensitivity of the Earth's radiation budget to changes in low clouds, Nature, 343, 49, 10.1038/343049a0
Stephens, 2005, Cloud feedbacks in the climate system: a critical review, J. Clim., 18, 237, 10.1175/JCLI-3243.1
Su, 2013, Diagnosis of regime-dependent cloud simulation errors in CMIP5 models using ‘A-Train’ satellite observations and reanalysis data, J. Gephys. Res., 118, 2762, 10.1029/2012JD018575
Van Weverberg, 2011, Evaluation of moist processes during intense precipitation in km-scale NWP models using remote sensing and in-situ data: impact of microphysics size distribution assumptions, Atmos. Res., 99, 15, 10.1016/j.atmosres.2010.08.017
Wang, 2014, Radiation budget biases in AMIP5 models over the East Asian monsoon region, J. Geophys. Res., 119, 13400, 10.1002/2014JD022243
Wang, 2017, Effects of cloud condensate vertical alignment on radiative transfer calculations in deep convective regions, Atmos. Res., 186, 107, 10.1016/j.atmosres.2016.11.014
Wang, 2020, Dependence of cloud radiation on cloud overlap, horizontal inhomogeneity, and vertical alignment in stratiform and convective regions, Atmos. Res., 249
Wang, 2013, 61
Wang, 2014, Improvement of cloud microphysics in the aerosol-climate model BCC_AGCM2.0.1_CUACE/Aero, evaluation against observations, and updated aerosol indirect effect, J. Geophys. Res., 119, 8400, 10.1002/2014JD021886
Weare, 2000, Insights into the importance of cloud vertical structure in climate, Gephys. Res. Lett., 27, 907, 10.1029/1999GL011214
Yan, 2018, Cloud vertical structures associated with precipitation magnitudes over the Tibetan Plateau and its neighboring regions, Atmos. Ocean. Sci. Lett., 11, 44, 10.1080/16742834.2018.1395680
Yin, 2014, An investigation into the relationship between liquid water content and cloud number concentration in the stratiform clouds over north China, Atmos. Res., 139, 137, 10.1016/j.atmosres.2013.12.004
Zhang, 2013, Shortwave cloud radiative forcing on major stratus cloud regions in AMIP-type simulations of CMIP3 and CMIP5 models, Adv. Atmos. Sci., 30, 884, 10.1007/s00376-013-2153-9
Zhao, 2016, Toward understanding the properties of high Ice Clouds at Naqu Site over the Tibetan Plateau using ground-based active remote sensing measurements obtained during a short period in July 2016, J. Appl. Meteorol. Clim., 55, 2493, 10.1175/JAMC-D-16-0038.1
Zhao, 2018, Comparison of three ice cloud optical schemes in climate simulations with community atmospheric model version 5, Atmos. Res., 204, 37, 10.1016/j.atmosres.2018.01.004
