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contributor authorMace, Gerald G.
contributor authorProtat, Alain
date accessioned2019-09-19T10:06:31Z
date available2019-09-19T10:06:31Z
date copyright4/26/2018 12:00:00 AM
date issued2018
identifier otherjamc-d-17-0194.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261619
description abstractAbstractThe properties of clouds derived using a suite of remote sensors on board the Australian research vessel (R/V) Investigator during the 5-week Clouds, Aerosols, Precipitation, Radiation, and Atmospheric Composition over the Southern Ocean (CAPRICORN) voyage south of Australia during March and April 2016 are examined and compared to similar measurements collected by CloudSat and CALIPSO (CC) and from data collected at Graciosa Island, Azores (GRW). In addition, we use depolarization lidar data to examine the thermodynamic phase partitioning as a function of temperature and compare those statistics to similar information reported from the CALIPSO lidar in low-Earth orbit. We find that cloud cover during CAPRICORN was 76%, dominated by clouds based in the marine boundary layer. This was lower than comparable measurements collected by CC during these months, although the CC dataset observed significantly more high clouds. In the surface-based data, approximately 2/3 (1/2) of all low-level layers observed had a reflectivity below ?20 dBZ in the CAPRICORN data (GRW) with 30% (20%) of the layers observed only by the lidar. The phase partitioning in layers based in the lower 4 km of the atmosphere was similar in the two surface-based datasets, indicating a greater occurrence of the ice phase in subfreezing low clouds than what is reported from analysis of CALIPSO data.
publisherAmerican Meteorological Society
titleClouds over the Southern Ocean as Observed from the R/V Investigator during CAPRICORN. Part I: Cloud Occurrence and Phase Partitioning
typeJournal Paper
journal volume57
journal issue8
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-17-0194.1
journal fristpage1783
journal lastpage1803
treeJournal of Applied Meteorology and Climatology:;2018:;volume 057:;issue 008
contenttypeFulltext


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