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CASCCAD: Cumulus And Stratocumulus Cloudsat-CAlipso Dataset

Cesana, Grégory


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.2667637", 
  "author": [
    {
      "family": "Cesana, Gr\u00e9gory"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2019, 
        5, 
        5
      ]
    ]
  }, 
  "abstract": "<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>", 
  "title": "CASCCAD: Cumulus And Stratocumulus Cloudsat-CAlipso Dataset", 
  "type": "dataset", 
  "id": "2667637"
}
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