Dataset Open Access

CASCCAD: Cumulus And Stratocumulus Cloudsat-CAlipso Dataset

Cesana, Grégory


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    "description": "<p>In these two&nbsp;datasets, we document spatial distributions and profiles of stratocumulus (Sc) and cumulus (Cu) clouds on a global scale.</p>\n\n<p>To this end, we design an original discrimination algorithm (DA) that distinguishes Sc and Cu based on three observable cloud-properties: cloud top height (CTH), horizontal cloud fraction (HCF) and vertical cloud fraction variability (VCF). These simple criteria are sufficient to characterize the distinctive shape of Cu, which have a limited horizontal extent and highly variable CTH as opposed to Sc, which cover larger areas and have a small and stable geometrical thickness. The DA is utilized on instantaneous profiles of active-sensor Cloud-Aerosols Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), specifically the&nbsp;General Circulation Model - Oriented CALIPSO Cloud Product (CALIPSO-GOCCP), and&nbsp;CloudSat-CALIPSO combined observations.</p>\n\n<p>By documenting the geographical distribution of Sc and Cu clouds, these datasets make it possible to evaluate the shallow convection (Cu type) and boundary layer (Sc type) clouds in state-of-the art climate models, which are typically generated by distinct parametrizations.</p>", 
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        "affiliation": "NASA-GISS", 
        "type": "Researcher", 
        "name": "Del Genio, Anthony"
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        "affiliation": "Sorbonne Universit\u00e9", 
        "type": "Researcher", 
        "name": "Chepfer, Helene"
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    "title": "CASCCAD: Cumulus And Stratocumulus Cloudsat-CAlipso Dataset", 
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      "cloud, stratocumulus, cumulus, CALIPSO, CloudSat, profiles, maps, lidar, radar"
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