{
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [
            [
              -5400000.0,
              -5400000.0
            ],
            [
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            [
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            [
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      "properties": {
        "dataset_id": "1da4c322a188",
        "filename": "1da4c322a188_snow_depth_20190928120000.tif",
        "title": "SO-SIMBA climate data record of snow depth on sea ice from altimeters",
        "identifier": "no.met.adc:da1ef2cf-a2ae-56f9-bc36-937cf24bbe6e",
        "abstract": "The MMS snow depth product, updated monthly, combines data from radar and laser altimetry (CryoSat-2, Sentinel-3, and ICESat-2) and snow depth derived from passive microwave. Snow depth from altimeters is derived by subtracting sea ice freeboard from snow freeboard. A drift-aware module ensures alignment of data across sensors (Ricker et al., 2025). Gridded snow depth is produced by merging and differencing these measurements, using established methods (Kacimi & Kwok, 2020). The MMS snow volume is calculated from the MMS snow depth and sea ice concentrations (SIC) from AMSR-E and AMSR2 using the ASI algorithm (Spreen et al., 2008, https://doi.org/10.1029/2005JC003384). From SIC the area covered by sea ice is calculated for every grid cell and multiplied by the snow depth to obtain sea ice volume per grid cell. The creation of this dataset was funded by ESA Polar Science Cluster project SO-SIMBA.",
        "extent": "-5400000.0 -5400000.0 5400000.0 5400000.0",
        "epsg": "6932"
      }
    }
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}