| Summary: | This dataset consists of true-like sea ice concentration (SIC) data records over the Arctic Ocean, which was derived from the 30 m resolution imagery from the Operational Land Imager (OLI) onboard Landsat-8. Each SIC map are given in a 6.25 km polar stereographic grid, and are catalogued into one of the twelve sub-regions (Baffin Bay and Labarador Seas, Barents Sea, Beaufort Sea, Bering Sea, Canadian Archipelago, Central Arctic, Chukchi Sea, East Greenland Sea, East Siberian Sea, Hudson Bay, Kara Sea, Laptev Sea) of the Arctic Ocean. This dataset also contains the number of Landsat-8 pixels used in the calculation of each SIC values, the land-sea-coastal mask, and the sub-region mask. The naming convention for the files is "sic_landsat08_{sub-region name}.nc". The dataset is in netCDF format and is compliant with the CF 1.8 and ACDD 1.3 convention for netCDF files.The description of the variables along with some key global attributes of the data are provide below. Global Attribute Meaning Attributes title Title of the dataset sub_region Name of the sub-region for each dataset Variable Name Meaning Attributes Dimension time Reference time of satellite image seconds since 1981-01-01 00:00:00Z [time] lon Longitude [Y, X] lat Latitude [Y, X] X x coordinate of projection [X] Y y coordinate of projection [Y] sea_ice_concentration Estimated fractional sea ice area from Landsat-8 measurements _FillValue : -99 [time, Y, X] sample_size Number of Landsat-8 pixels used to estimate the sea ice concentration _FillValue : 0 [time, Y, X] coastal_mask Open-sea/Coastal Flag [Open_sea, Coast] = [0, 1] [Y, X] sub_region_mask Sub-region Flag [inside_sub_region, outside_sub_region] = [0, 1] [Y, X] cloud_contamination_category Qualitatively assessed cloud contamination for Landsat-8 Level 1 Collection 2 data used to produce SIC [underestimated_cloud_cover, overestimated_cloud_cover, correctly_estimated_cloud_cover_for_clear_sky, correctly_estimated_cloud_cover_for_cloudy_sky] = [1, 2, 3, 4] [time] source_name Filename of original ...
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