Global analysis of cloud phase and ice crystal orientation from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data using attenuated backscattering and depolarization ratio
暂无分享,去创建一个
Hajime Okamoto | Yuichiro Hagihara | Hiroshi Ishimoto | H. Ishimoto | Ryo Yoshida | Y. Hagihara | H. Okamoto | Ryo Yoshida
[1] E. O'connor,et al. Characteristics of mixed‐phase clouds. II: A climatology from ground‐based lidar , 2003 .
[2] K. Masuda,et al. A Monte Carlo approach for the calculation of polarized light: application to an incident narrow beam , 2002 .
[3] Hajime Okamoto,et al. Characterization of Ze and LDR of nonspherical and inhomogeneous ice particles for 95‐GHz cloud radar: Its implication to microphysical retrievals , 2006 .
[4] E. O'connor,et al. The CloudSat mission and the A-train: a new dimension of space-based observations of clouds and precipitation , 2002 .
[5] Yoshihide Takano,et al. Radiative Transfer in Cirrus Clouds. Part III: Light Scattering by Irregular Ice Crystals , 1995 .
[6] Yongxiang Hu,et al. Depolarization ratio–effective lidar ratio relation: Theoretical basis for space lidar cloud phase discrimination , 2007 .
[7] K. Liou,et al. Solar Radiative Transfer in Cirrus Clouds. Part I: Single-Scattering and Optical Properties of Hexagonal Ice Crystals , 1989 .
[8] T. Nakajima,et al. Vertical cloud properties in the tropical western Pacific Ocean: Validation of the CCSR/NIES/FRCGC GCM by shipborne radar and lidar , 2008 .
[9] J. Hansen. Multiple Scattering of Polarized Light in Planetary Atmospheres Part II. Sunlight Reflected by Terrestrial Water Clouds , 1971 .
[10] Robin J. Hogan,et al. Estimate of the global distribution of stratiform supercooled liquid water clouds using the LITE lidar , 2004 .
[11] Guosheng Liu,et al. Deriving snow cloud characteristics from CloudSat observations , 2008 .
[12] W. Paul Menzel,et al. MODIS Global Cloud-Top Pressure and Amount Estimation: Algorithm Description and Results , 2008 .
[13] Hajime Okamoto,et al. An algorithm for retrieval of cloud microphysics using 95-GHz cloud radar and lidar , 2003 .
[14] David M. Winker,et al. Classification of particle shapes from lidar depolarization ratio in convective ice clouds compared to in situ observations during CRYSTAL-FACE , 2004 .
[15] A. Ono. Growth Mode of Ice Crystals in Natural Clouds , 1970 .
[16] Steven A. Ackerman,et al. Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP , 2008 .
[17] M. Kumai. Formation of Ice Crystals and Dissipation of Supercooled Fog by Artificial Nucleation, and Variations of Crystal Habit at Early Growth Stages. , 1982 .
[18] Michael D. King,et al. Comparison of near‐infrared and thermal infrared cloud phase detections , 2006 .
[19] Bryan A. Baum,et al. Identification of cloud phase from PICASSO-CENA lidar depolarization: a multiple scattering sensitivity study , 2001 .
[20] H. Okamoto. Information content of the 95‐GHz cloud radar signals: Theoretical assessment of effects of nonsphericity and error evaluation of the discrete dipole approximation , 2002 .
[21] K. Sassen. The Polarization Lidar Technique for Cloud Research: A Review and Current Assessment , 1991 .
[22] S. Emori,et al. Vertical cloud structure observed from shipborne radar and lidar: Midlatitude case study during the MR01/K02 cruise of the research vessel Mirai , 2007 .
[23] D. Deirmendjian. Far-Infrared and Submillimeter Wave Attenuation by Clouds and Rain , 1975 .
[24] Hajime Okamoto,et al. Development of a combined CloudSat‐CALIPSO cloud mask to show global cloud distribution , 2010 .
[25] R. Marchand,et al. Hydrometeor Detection Using Cloudsat—An Earth-Orbiting 94-GHz Cloud Radar , 2008 .
[26] Kenneth Sassen,et al. A Midlatitude Cirrus Cloud Climatology from the Facility for Atmospheric Remote Sensing. Part II: Microphysical Properties Derived from Lidar Depolarization , 2001 .