2012
DOI: 10.1029/2012jd017800
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A study on the low‐altitude clouds over the Southern Ocean using the DARDAR‐MASK

Abstract: [1] A climatology of the thermodynamic phase of the clouds over the Southern Ocean (40-65 S,100-160 E) has been constructed with the A-Train merged data product DARDAR-MASK for the four-year period 2006-2009 during Austral winter and summer. Low-elevation clouds with little seasonal cycle dominate this climatology, with the cloud tops commonly found at heights less than 1 km. Such clouds are problematic for the DARDAR-MASK in that the Cloud Profiling Radar (CPR) of CloudSat is unable to distinguish returns fro… Show more

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Cited by 93 publications
(107 citation statements)
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“…[35] The hypothesis that supercooled water exists frequently as thin layers over glaciated cloud [Rauber and Tokay, 1991] has gained some traction in the cloud remote sensing community, with merged radar/lidar/ spectroradiometer satellite products seemingly confirming this structure over the SO [Huang et al, 2012]. However, those authors note some limitations, in particular because of the deficiency in phase attribution of satellite cloud radar retrievals in the temperature range 0 ı C to -20 ı C, and the high attenuation of the lidar signal in liquid clouds.…”
Section: Discussionmentioning
confidence: 99%
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“…[35] The hypothesis that supercooled water exists frequently as thin layers over glaciated cloud [Rauber and Tokay, 1991] has gained some traction in the cloud remote sensing community, with merged radar/lidar/ spectroradiometer satellite products seemingly confirming this structure over the SO [Huang et al, 2012]. However, those authors note some limitations, in particular because of the deficiency in phase attribution of satellite cloud radar retrievals in the temperature range 0 ı C to -20 ı C, and the high attenuation of the lidar signal in liquid clouds.…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, the profiles examined in this paper show quite a different picture of low-level SO clouds: predominantly liquid phase with a mixture of solid and liquid precipitation. The satellite radar phase-retrieval algorithm response to the high-reflectivity (i.e., large) supercooled liquid droplets is most likely to identify ice in SO clouds [Huang et al, 2012], and without a satellite lidar depolarization signal to contradict this, any merged product would be flawed.…”
Section: Discussionmentioning
confidence: 99%
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“…A key input to the retrieval algorithm is an observational error covariance matrix, which includes both instrument and forward-model errors Hogan, 2008, 2010). The resulting DARDAR (for li-DAR + raDAR) products contain the profiles of the ice cloud related parameters on a 60 m vertical grid, which have been used in a number of studies (Bardeen et al, 2013;Battaglia and Delanoë, 2013;Ceccaldi et al, 2013;Delanoë et al, 2011Delanoë et al, , 2013Deng et al, 2013;Eliasson et al, 2012;Gayet et al, 2014;Huang et al, 2012;Jouan et al, 2012Jouan et al, , 2014Mason et al, 2014;Stein et al, 2011a, b).…”
Section: Cloudsat Geometrical Profiling Product (Geoprof)mentioning
confidence: 99%
“…The DARDAR algorithm Hogan, 2008, 2010) exploits the synergy of CALIPSO and CLOUDSAT observations to retrieve vertical profiles of cloud thermodynamic phase (DARDAR-MASK product) and ice cloud properties (DARDAR-CLOUD product). These products are now widely used for cloud studies Huang et al, 2012;Jouan et al, 2012Jouan et al, , 2014. DARDAR-MASK algorithm uses Level 1B CALIPSO 532 nm lidar backscatter coefficient profiles, "2B-GEOPROF" CLOUDSAT 94 GHz radar reflectivity, as well as thermodynamic variables (pressure, temperature, humidity) from "ECMWF-AUX" products.…”
Section: Dardar Retrieval Algorithmmentioning
confidence: 99%