eNATL60_BLBT02_SSH

Hourly outputs of eNATL60-BLBT02 (with tides) Sea Surface Height

Load in Python

from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/ocean/MEOM-NEMO.yaml") ds = cat["eNATL60_BLBT02_SSH"].to_dask()

Working with requester pays data

Several of the datasets within the cloud data catalog are contained in requester pays storage buckets. This means that a user requesting data must provide their own billing project (created and authenticated through Google Cloud Platform) to be billed for the charges associated with accessing a dataset. To set up an GCP billing project and use it for authentication in applications:

Metadata

url https://mycore.core-cloud.net/index.php/s/zQAcDHWhxiGt1RW#pdfviewer
tags ['ocean', 'model']

Dataset Contents

Show/Hide data repr Show/Hide attributes
xarray.Dataset
    • axis_nbounds: 2
    • time_counter: 11688
    • x: 8354
    • y: 4729
    • time_centered
      (time_counter)
      datetime64[ns]
      dask.array<chunksize=(240,), meta=np.ndarray>
      bounds :
      time_centered_bounds
      long_name :
      Time axis
      standard_name :
      time
      time_origin :
      1900-01-01 00:00:00
      Array Chunk
      Bytes 93.50 kB 1.92 kB
      Shape (11688,) (240,)
      Count 50 Tasks 49 Chunks
      Type datetime64[ns] numpy.ndarray
      11688 1
    • time_counter
      (time_counter)
      datetime64[ns]
      2010-01-19T00:30:00 ... 2009-09-17T23:30:00
      axis :
      T
      bounds :
      time_counter_bounds
      long_name :
      Time axis
      standard_name :
      time
      time_origin :
      1900-01-01 00:00:00
      array(['2010-01-19T00:30:00.000000000', '2010-01-19T01:30:00.000000000',
             '2010-01-19T02:30:00.000000000', ..., '2009-09-17T21:30:00.000000000',
             '2009-09-17T22:30:00.000000000', '2009-09-17T23:30:00.000000000'],
            dtype='datetime64[ns]')
    • nav_lat
      (y, x)
      float32
      dask.array<chunksize=(240, 480), meta=np.ndarray>
      long_name :
      Latitude
      standard_name :
      latitude
      units :
      degrees_north
      Array Chunk
      Bytes 158.02 MB 460.80 kB
      Shape (4729, 8354) (240, 480)
      Count 361 Tasks 360 Chunks
      Type float32 numpy.ndarray
      8354 4729
    • nav_lon
      (y, x)
      float32
      dask.array<chunksize=(240, 480), meta=np.ndarray>
      long_name :
      Longitude
      standard_name :
      longitude
      units :
      degrees_east
      Array Chunk
      Bytes 158.02 MB 460.80 kB
      Shape (4729, 8354) (240, 480)
      Count 361 Tasks 360 Chunks
      Type float32 numpy.ndarray
      8354 4729
    • sossheig
      (time_counter, y, x)
      float32
      dask.array<chunksize=(240, 240, 480), meta=np.ndarray>
      interval_write :
      1 h
      long_name :
      sea surface height
      online_operation :
      average
      standard_name :
      sea_surface_height_above_geoid
      units :
      m
      Array Chunk
      Bytes 1.85 TB 110.59 MB
      Shape (11688, 4729, 8354) (240, 240, 480)
      Count 17641 Tasks 17640 Chunks
      Type float32 numpy.ndarray
      8354 4729 11688
    • time_centered_bounds
      (time_counter, axis_nbounds)
      datetime64[ns]
      dask.array<chunksize=(240, 2), meta=np.ndarray>
      Array Chunk
      Bytes 187.01 kB 3.84 kB
      Shape (11688, 2) (240, 2)
      Count 50 Tasks 49 Chunks
      Type datetime64[ns] numpy.ndarray
      2 11688
    • time_counter_bounds
      (time_counter, axis_nbounds)
      datetime64[ns]
      dask.array<chunksize=(240, 2), meta=np.ndarray>
      Array Chunk
      Bytes 187.01 kB 3.84 kB
      Shape (11688, 2) (240, 2)
      Count 50 Tasks 49 Chunks
      Type datetime64[ns] numpy.ndarray
      2 11688
  • Conventions :
    CF-1.6
    TimeStamp :
    24/03/2019 14:43:29 +0100
    description :
    ocean T grid variables
    file_name :
    eNATL60-BLBT02X_1h_20100101_20100125_gridT-2D_20100119-20100119.nc
    ibegin :
    0
    jbegin :
    0
    name :
    /scratch/tmp/5251284/eNATL60-BLBT02X_1h_20100101_20100125_gridT-2D
    ni :
    8354
    nj :
    10
    timeStamp :
    2019-Mar-24 06:31:35 GMT
    title :
    ocean T grid variables
    uuid :
    80877374-74d2-468e-9fc6-d8cae8009094