hydrosheds_acc

Flow accumulation at 3-second resolution

Load in Python

from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/hydro.yaml") ds = cat["hydrosheds_acc"].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://www.hydrosheds.org
tags ['flow']

Dataset Contents

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xarray.DataArray
  • concat_dim: 1
  • band: 1
  • y: 144000
  • x: 390000
  • dask.array<chunksize=(1, 1, 6000, 6000), meta=np.ndarray>
    Array Chunk
    Bytes 449.28 GB 288.00 MB
    Shape (1, 1, 144000, 390000) (1, 1, 6000, 6000)
    Count 3121 Tasks 1560 Chunks
    Type float64 numpy.ndarray
    1 1 390000 144000 1
    • band
      (band)
      int64
      1
      array([1])
    • y
      (y)
      float64
      60.0 60.0 60.0 ... -60.0 -60.0
      array([ 59.999583,  59.99875 ,  59.997917, ..., -59.997917, -59.99875 ,
             -59.999583])
    • x
      (x)
      float64
      -145.0 -145.0 ... 180.0 180.0
      array([-144.999583, -144.99875 , -144.997917, ...,  179.997917,  179.99875 ,
              179.999583])
  • transform :
    (0.0008333333333333438, 0.0, -145.0, 0.0, -0.0008333333333333438, 60.0)
    crs :
    +init=epsg:4326
    res :
    (0.0008333333333333438, 0.0008333333333333438)
    is_tiled :
    1
    nodatavals :
    (0.0,)
    scales :
    (1.0,)
    offsets :
    (0.0,)