Development of Algorithm for Discriminating Hydrometeor Particle Types With a Synergistic Use of CloudSat and CALIPSO

M. Kikuchi, Hajime Okamoto, Kaori Sato, K. Suzuki, G. Cesana, Y. Hagihara, N. Takahashi, T. Hayasaka, R. Oki

研究成果: ジャーナルへの寄稿記事

4 引用 (Scopus)

抄録

We developed a method for classifying hydrometeor particle types, including cloud and precipitation phase and ice crystal habit, by a synergistic use of CloudSat/Cloud Profiling Radar (CPR) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO)/Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP). We investigated how the cloud phase and ice crystal habit characterized by CALIOP globally relate with radar reflectivity and temperature. The global relationship thus identified was employed to develop an algorithm for hydrometeor type classification with CPR alone. The CPR-based type classification was then combined with CALIPSO-based type characterization to give CPR-CALIOP synergy classification. A unique aspect of this algorithm is to exploit and combine the lidar's sensitivity to thin ice clouds and the radar's ability to penetrate light precipitation to offer more complete picture of vertically resolved hydrometeor type classification than has been provided by previous studies. Given the complementary nature of radar and lidar detections of hydrometeors, our algorithm delivers 13 hydrometeor types: warm water, supercooled water, randomly oriented ice crystal (3D-ice), horizontally oriented plate (2D-plate), 3D-ice + 2D-plate, liquid drizzle, mixed-phase drizzle, rain, snow, mixed-phase cloud, water + liquid drizzle, water + rain, and unknown. The global statistics of three-dimensional occurrence frequency of each hydrometeor type revealed that 3D-ice contributes the most to the total cloud occurrence frequency (53.8%), followed by supercooled water (14.3%), 2D-plate (9.2%), rain (5.9%), warm water (5.7%), snow (4.8%), mixed-phase drizzle (2.3%), and the remaining types (4.0%). This hydrometeor type classification provides observation-based insight for climate model diagnostics in representation of cloud phase and their microphysical characteristics.

元の言語英語
ページ(範囲)11,022-11,044
ジャーナルJournal of Geophysical Research: Atmospheres
122
発行部数20
DOI
出版物ステータス出版済み - 10 27 2017

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CloudSat
hydrometeors
CALIPSO
lidar
satellite observation
radar
Ice
Optical radar
aerosols
Aerosols
optical radar
Radar
ice
Satellites
Infrared radiation
drizzle
Water
ice crystal
Rain
crystals

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Palaeontology

これを引用

Development of Algorithm for Discriminating Hydrometeor Particle Types With a Synergistic Use of CloudSat and CALIPSO. / Kikuchi, M.; Okamoto, Hajime; Sato, Kaori; Suzuki, K.; Cesana, G.; Hagihara, Y.; Takahashi, N.; Hayasaka, T.; Oki, R.

:: Journal of Geophysical Research: Atmospheres, 巻 122, 番号 20, 27.10.2017, p. 11,022-11,044.

研究成果: ジャーナルへの寄稿記事

Kikuchi, M. ; Okamoto, Hajime ; Sato, Kaori ; Suzuki, K. ; Cesana, G. ; Hagihara, Y. ; Takahashi, N. ; Hayasaka, T. ; Oki, R. / Development of Algorithm for Discriminating Hydrometeor Particle Types With a Synergistic Use of CloudSat and CALIPSO. :: Journal of Geophysical Research: Atmospheres. 2017 ; 巻 122, 番号 20. pp. 11,022-11,044.
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abstract = "We developed a method for classifying hydrometeor particle types, including cloud and precipitation phase and ice crystal habit, by a synergistic use of CloudSat/Cloud Profiling Radar (CPR) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO)/Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP). We investigated how the cloud phase and ice crystal habit characterized by CALIOP globally relate with radar reflectivity and temperature. The global relationship thus identified was employed to develop an algorithm for hydrometeor type classification with CPR alone. The CPR-based type classification was then combined with CALIPSO-based type characterization to give CPR-CALIOP synergy classification. A unique aspect of this algorithm is to exploit and combine the lidar's sensitivity to thin ice clouds and the radar's ability to penetrate light precipitation to offer more complete picture of vertically resolved hydrometeor type classification than has been provided by previous studies. Given the complementary nature of radar and lidar detections of hydrometeors, our algorithm delivers 13 hydrometeor types: warm water, supercooled water, randomly oriented ice crystal (3D-ice), horizontally oriented plate (2D-plate), 3D-ice + 2D-plate, liquid drizzle, mixed-phase drizzle, rain, snow, mixed-phase cloud, water + liquid drizzle, water + rain, and unknown. The global statistics of three-dimensional occurrence frequency of each hydrometeor type revealed that 3D-ice contributes the most to the total cloud occurrence frequency (53.8{\%}), followed by supercooled water (14.3{\%}), 2D-plate (9.2{\%}), rain (5.9{\%}), warm water (5.7{\%}), snow (4.8{\%}), mixed-phase drizzle (2.3{\%}), and the remaining types (4.0{\%}). This hydrometeor type classification provides observation-based insight for climate model diagnostics in representation of cloud phase and their microphysical characteristics.",
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AU - Suzuki, K.

AU - Cesana, G.

AU - Hagihara, Y.

AU - Takahashi, N.

AU - Hayasaka, T.

AU - Oki, R.

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