Austin R. T.,A. J. Heymsfield, and G. L. Stephens, 2009: Retrieval of ice cloud microphysical parameters using the CloudSat millimeter-wave radar and temperature. J. Geophys. Res., 114, D00A23, .https://doi.org/10.1029/2008JD010049
Bankert R. L.,1994: Cloud classification of AVHRR imagery in maritime regions using a probabilistic neural network. J. Appl. Meteor., 33, 909-918, .https://doi.org/10.1175/1520-0450(1994)033<0909:CCOAII>2.0.CO;2
Baum B. A.,V. Tovinkere, J. Titlow, and R. M. Welch, 1997: Automated cloud classification of global AVHRR data using a fuzzy logic approach. J. Appl. Meteor., 36, 1519-1540, .https://doi.org/10.1175/1520-0450(1997)036<1519:ACCOGA>2.0.CO;2
Chen C.,X. J. Guo, X. B. Qiu, and H. Meng, 2015: Analysis of cloud vertical structure and cloud water content over North China based on satellite remote sensing data. Journal of Meteorology and Environment, 31, 159-164, .https://doi.org/10.3969/j.issn.1673-503X.2015.05.023
Doviak R. J.,D. S. Zrnić, 1993: Doppler Radar and Weather Observations. 2nd ed., Academic Press, 562 pp, .https://doi.org/10.1016/C2009-0-22358-0
Ebert E.,1987: A pattern recognition technique for distinguishing surface and cloud types in the polar regions. J. Appl. Meteor., 26, 1412-1427, .https://doi.org/10.1175/1520-0450(1987)026<1412:APRTFD>2.0.CO;2
Hahn C. J.,W. B. Rossow, and S. G. Warren, 2001: ISCCP cloud properties associated with standard cloud types identified in individual surface observations. J. Climate, 14, 11-28, .https://doi.org/10.1175/1520-0442(2001)014<0011:ICPAWS>2.0.CO;2
Hamilton K.,2006: High resolution global modeling of the atmospheric circulation. Adv. Atmos. Sci., 23(6), 842-856, .https://doi.org/10.1007/s00376-006-0842-3
Heymsfield A.,D. Winker, M. Avery, M. Vaughan, G. Diskin, M. Deng, V. Mitev, and R. Matthey, 2014: Relationships between ice water content and volume extinction coefficient from in situ observations for temperatures from 0° to -86°C: Implications for spaceborne Lidar retrievals. Journal of Applied Meteorology and Climatology, 53, 479-505, .https://doi.org/10.1175/JAMC-D-13-087.1
Huo J.,2015: Physical properties of mid-level clouds based on CloudSat/CALIPSO data over land and sea. Climatic and Environmental Research, 20, 30-40, .https://doi.org/10.3878/j.issn.1006-9585.2014.13188
Huo J.,D. R. Lu, 2009: Cloud determination of all-sky images under low-visibility conditions. J. Atmos. Oceanic Technol., 26(10), 2172-2181, .https://doi.org/10.1175/2009JTECHA1324.1
Huo J.,D. R. Lu, 2014: Physical properties of high-level cloud over land and ocean from CloudSat-CALIPSO data. J. Climate, 27, 8966-8978, .https://doi.org/10.1175/JCLI-D-14-00329.1
Huschke R. E.,1959: Glossary of Meteorology. American Meteorological Society, 638 pp.
Kollias P.,I. Jo, P. Borque, A. Tatarevic, and K. Lamer, 2014: Scanning ARM cloud radars. Part II: Data quality control and processing. J. Atmos. Oceanic Technol., 31, 583-598, .https://doi.org/10.1175/JTECH-D-13-00045.1
Li Y. Y.,L. X. Fang, and X. W. Kou, 2014: Principle and standard of auto-observation cloud classification for satellite, ground measurements and model. Chinese Journal of Geophysics, 57, 2433-2441, .https://doi.org/10.6038/cjg20140805
Liu L. P.,L. Xie, and Z. H. Cui, 2014: Examination and application of Doppler spectral density data in drop size distribution retrieval in weak precipitation by cloud radar. Chinese Journal of Atmospheric Sciences, 38, 223-236, .https://doi.org/10.3878/j.issn.1006-9895.2013.12207
Mace G. G.,K. Sassen, 2000: A constrained algorithm for retrieval of stratocumulus cloud properties using solar radiation, microwave radiometer, and millimeter cloud radar data. J. Geophys. Res., 105, 29 099-29 108, .https://doi.org/10.1029/2000JD900403
Miller S. W.,W. J. Emery, 1997: An automated neural network cloud classifier for use over land and ocean surfaces. J. Appl. Meteor., 36, 1346-1362, .https://doi.org/10.1175/1520-0450(1997)036<1346:AANNCC>2.0.CO;2
Molinari J.,M. Dudek, 1992: Parameterization of convective precipitation in mesoscale numerical models: A critical review. Mon. Wea. Rev., 120, 326-344, .https://doi.org/10.1175/1520-0493(1992)120<0326:POCPIM>2.0.CO;2
Penaloza M. A.,R. M. Welch, 1996: Feature selection for classification of polar regions using a fuzzy expert system. Remote Sensing of Environment., 58, 81-100, .https://doi.org/10.1016/0034-4257(95)00260-X
Ramanathan V.,R. D. Cess, E. F. Harrison, P. Minnis, B. R. Barkstrom, E. Ahmad, and D. Hartmann, 1989: Cloud-radiative forcing and climate: Results from the earth radiation budget experiment. Science, 243, 57-63, .https://doi.org/10.1126/science.243.4887.57
Ren J. Q.,W. Yan, H. L. Yang, and J. K. Shi, 2011: Cloud classification algorithm for CloudSat satellite based on fuzzy logic method. Journal of PLA University of Science and Technology (Natural Science Edition), 12, 90-96, .https://doi.org/10.3969/j.issn.1009-3443.2011.01.017
Rodgers C. D.,1976: Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation. Rev. Geophys., 14, 609-624, .https://doi.org/10.1029/RG014i004p00609
Rodgers C. D.,1990: Characterization and error analysis of profiles retrieved from remote sounding measurements. J. Geophys. Res., 95, 5587-5595, .https://doi.org/10.1029/JD095iD05p05587
Rodgers C. D.,2000: Inverse Methods for Atmospheric Sounding: Theory and Practice. World Scientific Publishing, 256 pp.
Rossow W. B.,R. A. Schiffer, 1999: Advances in understanding clouds from ISCCP. Bull. Amer. Meteor. Soc., 80, 2261-2288, .https://doi.org/10.1175/1520-0477(1999)080<2261:AIUCFI>2.0.CO;2
Sassen K.,Z. E. Wang, 2008: Classifying clouds around the globe with the CloudSat radar: 1-year of results. Geophys. Res. Lett., 35, L04805,.https://doi.org/10.1029/2007GL032591
Sassen K.,Z. E. Wang, and D. Liu, 2008: Global distribution of cirrus clouds from CloudSat/Cloud-Aerosol Lidar and infrared pathfinder satellite observations (CALIPSO) measurements. J. Geophys. Res., 113, D00A12,.https://doi.org/10.1029/2008JD009972
Seguin W.,F. Genene, and R. Perriello, 2012: "Cirrus". Glossary of Meteorology. 2nd ed., Amer. Meteor. Soc. [Available online from .http://glossary.ametsoc.org/wiki/Cirrus
Sekelsky S. M.,W. L. Ecklund, J. M. Firda, K. S. Gage, and R. E. McIntosh, 1999: Particle size estimation in ice-phase clouds using multifrequency radar reflectivity measurements at 95, 33, and 2.8 GHz. J. Appl. Meteor., 38, 5-28, .https://doi.org/10.1175/1520-0450(1999)038<0005:PSEIIP>2.0.CO;2
Tag P. M.,R. L. Bankert, and L. R. Brody, 2000: An AVHRR multiple cloud-type classification package. J. Climate, 39, 125-134, .https://doi.org/10.1175/1520-0450(2000)039<0125:AAMCTC>2.0.CO;2
Wang Z. E.,K. Sassen, 2001: Cloud type and macrophysical property retrieval using multiple remote sensors. J. Appl. Meteor., 40, 1665-1682, .https://doi.org/10.1175/1520-0450(2001)040<1665:CTAMPR>2.0.CO;2
Williams C. R.,W. L. Ecklund, and K. S. Gage, 1995: Classification of precipitating clouds in the tropics using 915-MHz wind profilers. J. Atmos. Oceanic Technol., 12, 996-1012, .https://doi.org/10.1175/1520-0426(1995)012<0996:COPCIT>2.0.CO;2
World Meteorological Organization, 1956: International Cloud Atlas: Abridged Atlas. WMO, 72 pp.
World Meteorological Organization, 2017: International Cloud Atlas. WMO. [Available from .https://cloudatlas.wmo.int/home.html
Xiao P.,J. Huo, and Y. H. Bi, 2018: Ground-based Ka band cloud radar data quality control. Journal of Chengdu University of Information Technology, 33, 129-136, .https://doi.org/10.16836/j.cnki.jcuit.2018.02.005
Zadeh L. A.,1968: Fuzzy algorithms. Information and Control, 12, 94-102, .https://doi.org/10.1016/S0019-9958(68)90211-8