<xarray.Dataset>
    Dimensions:         (x: 722, y: 722, time: 1924)
    Coordinates:
      * x               (x) float32 -4.518e+06 -4.506e+06 ... 4.506e+06 4.518e+06
      * y               (y) float32 -4.518e+06 -4.506e+06 ... 4.506e+06 4.518e+06
      * time            (time) object 1984-01-01 00:00:00 ... 2020-12-23 00:00:00
    Data variables:
        crs             int32 ...
        age_of_sea_ice  (time, y, x) uint8 dask.array<chunksize=(200, 722, 722), meta=np.ndarray>
        latitude        (y, x) float32 dask.array<chunksize=(722, 722), meta=np.ndarray>
        longitude       (y, x) float32 dask.array<chunksize=(722, 722), meta=np.ndarray>
    Attributes:
        version:       4.1
        release_date:  April 2019
        Conventions:   CF-1.4
        citation:      Tschudi, M. A., Meier, W. N., and Stewart, J. S.: An enhan...
        dataset_doi:   10.5067/UTAV7490FEPB

xarray.Dataset

• Dimensions:
  • x: 722
  • y: 722
  • time: 1924
• Coordinates: (3)
  • x
    (x)
    float32
    -4.518e+06 -4.506e+06 ... 4.518e+06

    standard_name :

    projection_x_coordinate

    coverage_content_type :

    coordinate

    long_name :

    x

    units :

    meters

    axis :

    X

    array([-4518421.5, -4505887.5, -4493354. , ...,  4493354. ,  4505887.5,
                4518421.5], dtype=float32)

  • y
    (y)
    float32
    -4.518e+06 -4.506e+06 ... 4.518e+06

    standard_name :

    projection_y_coordinate

    coverage_content_type :

    coordinate

    long_name :

    y

    units :

    meters

    axis :

    Y

    array([-4518421.5, -4505887.5, -4493354. , ...,  4493354. ,  4505887.5,
                4518421.5], dtype=float32)

  • time
    (time)
    object
    1984-01-01 00:00:00 ... 2020-12-...

    standard_name :

    time

    axis :

    T

    array([cftime.DatetimeJulian(1984, 1, 1, 0, 0, 0, 0, has_year_zero=False),
               cftime.DatetimeJulian(1984, 1, 8, 0, 0, 0, 0, has_year_zero=False),
               cftime.DatetimeJulian(1984, 1, 15, 0, 0, 0, 0, has_year_zero=False),
               ...,
               cftime.DatetimeJulian(2020, 12, 9, 0, 0, 0, 0, has_year_zero=False),
               cftime.DatetimeJulian(2020, 12, 16, 0, 0, 0, 0, has_year_zero=False),
               cftime.DatetimeJulian(2020, 12, 23, 0, 0, 0, 0, has_year_zero=False)],
              dtype=object)

• Data variables: (4)
  • crs
    ()
    int32
    ...

    grid_mapping_name :

    lambert_azimuthal_equal_area

    longitude_of_projection_origin :

    0

    false_easting :

    0

    false_northing :

    0

    long_name :

    EASEgrid_N12.5km_pole_centered

    latitude_of_projection_origin :

    90

    srid :

    urn:ogc:def:crs:EPSG::3408

    proj4text :

    +proj=laea +lat_0=90 +lon_0=0 +x_0=0 +y_0=0 +a=6371228 +b=6371228 +units=m +no_defs

    crs_wkt :

    PROJCS["NSIDC EASE-Grid North",GEOGCS["Unspecified datum based upon the International 1924 Authalic Sphere",DATUM["Not_specified_based_on_International_1924_Authalic_Sphere",SPHEROID["International 1924 Authalic Sphere",6371228,0,AUTHORITY["EPSG","7057"]],AUTHORITY["EPSG","6053"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4053"]],UNIT["metre",1,AUTHORITY["EPSG","9001"]],PROJECTION["Lambert_Azimuthal_Equal_Area"],PARAMETER["latitude_of_center",90],PARAMETER["longitude_of_center",0],PARAMETER["false_easting",0],PARAMETER["false_northing",0],AUTHORITY["EPSG","3408"],AXIS["X",UNKNOWN],AXIS["Y",UNKNOWN]]

    array(-2147483647)

  • age_of_sea_ice
    (time, y, x)
    uint8
    dask.array<chunksize=(200, 722, 722), meta=np.ndarray>

    short_name :

    ice age

    long_name :

    age_of_sea_ice

    standard_name :

    age_of_sea_ice

    units :

    year

    flag_values :

    [20 21]

    grid_mapping :

    crs

    comment :

    Ice of this age is up-to-this-number of years old. A value of 1 indicates first-year ice, which is up to one year old. Age value of 20 indicate the dilated land mask. Age values of 21 indicate ocean where ice age cannot be calculated because the ice motion is not provided near coasts and in lakes

    Array Chunk Bytes 0.93 GiB 99.43 MiB Shape (1924, 722, 722) (200, 722, 722) Count 11 Tasks 10 Chunks Type uint8 numpy.ndarray

  • latitude
    (y, x)
    float32
    dask.array<chunksize=(722, 722), meta=np.ndarray>

    standard_name :

    latitude

    units :

    degrees_north

    Array Chunk Bytes 1.99 MiB 1.99 MiB Shape (722, 722) (722, 722) Count 2 Tasks 1 Chunks Type float32 numpy.ndarray

  • longitude
    (y, x)
    float32
    dask.array<chunksize=(722, 722), meta=np.ndarray>

    standard_name :

    longitude

    units :

    degrees_east

    Array Chunk Bytes 1.99 MiB 1.99 MiB Shape (722, 722) (722, 722) Count 2 Tasks 1 Chunks Type float32 numpy.ndarray

• Attributes: (5)

  version :

  4.1

  release_date :

  April 2019

  Conventions :

  CF-1.4

  citation :

  Tschudi, M. A., Meier, W. N., and Stewart, J. S.: An enhancement to sea ice motion and age products, The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-40, in review, 2019.

  dataset_doi :

  10.5067/UTAV7490FEPB