{"ob_id":30288,"uuid":"7867b6001dfa4a0fb39bf72faf38888c","title":"Post-processing using Climate Data Operators (CDO), netCDF Operators (NCO) and NCAR Command Language (NCL)","abstract":"Post-processing using Climate Data Operators (CDO), netCDF Operators (NCO) and NCAR Command Language (NCL). \r\n  Products included:\r\n          a) Global-Climate-Model Oriented Cloud Calipso-satellite Product (GOCCP v3.0).\r\n          b) liDAR-raDAR (DARDAR-MASK v2.0) product .\r\n          c) PARASOL + Aqua/MODIS combination (PM-L2) product.\r\n                  c.1) Polarization & Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar (PARASOL).\r\n                  c.2) Aqua-satellite Moderate-resolution Imaging Spectroradiometer (MODIS).\r\n                 \r\n  Product ensembles:\r\n          a) 'GDP2': Mode between the three different binary classifications (ice/liquid).\r\n          b) 'GDP3' A subselection of the GDP2 ensemble, containing only timesteps where all three products agree. \r\n          c) 'GP' : A subselection of the GDP2 ensemble, containing only timesteps where only GOCCP and PM-L2 agree.\r\n          d) 'DP' : A subselection of the GDP2 ensemble, containing only timesteps where only DARDAR and PM-L2 agree.\r\n          e) 'GD' : A subselection of the GDP2 ensemble, containing only timesteps where only GOCCP and DARDAR agree.","keywords":"","inputDescription":null,"outputDescription":null,"softwareReference":null,"identifier_set":[]}