220 Southern Ocean Cloud Representation in ISCCP H Dataset Using a Hybrid Scheme of Cloud Classification

Wednesday, 11 July 2018
Regency A/B/C (Hyatt Regency Vancouver)
Simon Parsons, University of Canterbury, Christchurch, New Zealand; and A. J. McDonald

Cloud classifications are often used for the evaluation of models and analysis of cloud properties. Previous studies have illustrated that hybrid schemes, those which can incorporate dynamics and cloud data, could provide additional value. In this preliminary study, the Self Organizing Map (SOM) methodology is applied to joint histograms of cloud top pressure and optical depth from the ISCCP H dataset, and the cloud regimes are determined. A second stage process that incorporates dynamics, such as vertical velocity profiles, from ERA-Interim is investigated as a further refinement to the initial scheme. The resultant hybrid cloud regimes are then compared and contrasted to a previous ISCCP D1 cloud classification and to CloudSat. Using this hybrid scheme Southern Ocean cloud is also investigated.
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