2010
DOI: 10.1029/2009jd012344
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Development of a combined CloudSat‐CALIPSO cloud mask to show global cloud distribution

Abstract: [1] We developed a cloud mask scheme that combines measurements from CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellites. First, we developed a cloud mask scheme for CALIPSO using a threshold of the attenuated total backscattering coefficient and a spatial continuity test. We then developed a combined CloudSat-CALIPSO cloud mask. These cloud masks were applied to 3 months of data from September to November 2006, and the vertical distributions of zonal mean cloud … Show more

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Cited by 107 publications
(133 citation statements)
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References 55 publications
(65 reference statements)
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“…After that, the dust-containing air may have been transported from the Pacific Ocean to inland Kanto in association with sets). The cloud mask scheme and the discrimination procedure for cloud particle types have been fully documented by Hagihara et al (2010) and Yoshida et al (2010). Figure 2 shows the spatial distribution of SPM concentrations and horizontal wind at 925-hPa in central Japan.…”
Section: Datamentioning
confidence: 99%
“…After that, the dust-containing air may have been transported from the Pacific Ocean to inland Kanto in association with sets). The cloud mask scheme and the discrimination procedure for cloud particle types have been fully documented by Hagihara et al (2010) and Yoshida et al (2010). Figure 2 shows the spatial distribution of SPM concentrations and horizontal wind at 925-hPa in central Japan.…”
Section: Datamentioning
confidence: 99%
“…However, there is an abundance of aerosols in the lower troposphere, so it is necessary to appropriately remove contamination by aerosol signals from the low-cloud signals observed by CALIPSO. Hagihara et al (2010) developed a sophisticated algorithm to eliminate aerosol signals from the CALIPSO backscatter data and created cloud mask data (referred to as the KU cloud mask; i.e., the Kyushu University cloud mask product), which they retrieved from the CloudSat and CALIPSO data. Here, we use KU cloud mask data to investigate the vertical structure of low clouds because they are likely to be the most appropriate data for the detailed investigation of such clouds.…”
Section: Introductionmentioning
confidence: 99%
“…Since the CPR and ATLID cloud mask results have differences in spatial resolution and pointing angle, an averaging procedure is necessary to interpolate the two data sets onto a common grid. This can be done in a similar way as in the analysis of CloudSat and CALIPSO [2]. Consequently, we will create four cloud mask schemes: (C1) CPR only cloud mask, (C2) ATLID only mask, (C3) CPR and ATLID cloud mask and (C4) CPR or ATLID cloud mask from these two sensors (for further details see Okamoto et al [7,8].…”
Section: Cloud Mask Algorithmmentioning
confidence: 99%
“…Some of the algorithms have been developed and applied to the CloudSat and CALIPSO [2,3,4,5] and global distribution of the cloud products have been obtained for more than six years. All cloud products have horizontal and vertical resolutions of 1km and 100m, respectively.…”
Section: Introductionmentioning
confidence: 99%