Datasets

CloudDrift provides convenience functions to access real-world ragged-array datasets. Currently available datasets are:

• clouddrift.datasets.andro(): The ANDRO dataset as a ragged array processed from the upstream dataset hosted at the SEANOE repository.

• clouddrift.datasets.gdp1h(): 1-hourly Global Drifter Program (GDP) data from a cloud-optimized Zarr dataset on AWS.

• clouddrift.datasets.gdp6h(): 6-hourly GDP data from a ragged-array NetCDF file hosted by the public HTTPS server at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML).

• clouddrift.datasets.glad(): 15-minute Grand LAgrangian Deployment (GLAD) data produced by the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE) and hosted upstream at the Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC).

• clouddrift.datasets.mosaic(): MOSAiC sea-ice drift dataset as a ragged array processed from the upstream dataset hosted at the NSF’s Arctic Data Center.

• clouddrift.datasets.subsurface_floats(): The subsurface float trajectories dataset as hosted by NOAA AOML at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) <https://www.aoml.noaa.gov/phod/float_traj/index.php>_ and maintained by Andree Ramsey and Heather Furey from the Woods Hole Oceanographic Institution.

• clouddrift.datasets.spotters(): The Sofar Ocean Spotters archive dataset as hosted at the public AWS S3 bucket.

• clouddrift.datasets.yomaha(): The YoMaHa’07 dataset as a ragged array processed from the upstream dataset hosted at the Asia-Pacific Data-Research Center (APDRC).

• clouddrift.datasets.hurdat2(): The HURricane DATa 2nd generation (HURDAT2) processed from the upstream dataset hosted at the NOAA AOML Hurricane Research Devision.

The GDP and the Spotters datasets are accessed lazily, so the data is only downloaded when specific array values are referenced. The ANDRO, GLAD, MOSAiC, Subsurface Floats, and YoMaHa’07 datasets are downloaded in their entirety when the function is called for the first time and stored locally for later use.

>>> from clouddrift.datasets import gdp1h
>>> ds = gdp1h()
>>> ds
<xarray.Dataset> Size: 16GB
Dimensions:                (traj: 19396, obs: 197214787)
Coordinates:
    id                     (traj) int64 155kB ...
    time                   (obs) datetime64[ns] 2GB ...
Dimensions without coordinates: traj, obs
Data variables: (12/59)
    BuoyTypeManufacturer   (traj) |S20 388kB ...
    BuoyTypeSensorArray    (traj) |S20 388kB ...
    CurrentProgram         (traj) float32 78kB ...
    DeployingCountry       (traj) |S20 388kB ...
    DeployingShip          (traj) |S20 388kB ...
    DeploymentComments     (traj) |S20 388kB ...
    ...                     ...
    start_lat              (traj) float32 78kB ...
    start_lon              (traj) float32 78kB ...
    typebuoy               (traj) |S10 194kB ...
    typedeath              (traj) int8 19kB ...
    ve                     (obs) float32 789MB ...
    vn                     (obs) float32 789MB ...
Attributes: (12/16)
    Conventions:       CF-1.6
    acknowledgement:   Elipot, Shane; Sykulski, Adam; Lumpkin, Rick; Centurio...
    contributor_name:  NOAA Global Drifter Program
    contributor_role:  Data Acquisition Center
    date_created:      2023-09-08T17:05:12.130123
    doi:               10.25921/x46c-3620
    ...                ...
    processing_level:  Level 2 QC by GDP drifter DAC
    publisher_email:   aoml.dftr@noaa.gov
    publisher_name:    GDP Drifter DAC
    publisher_url:     https://www.aoml.noaa.gov/phod/gdp
    summary:           Global Drifter Program hourly data
    title:             Global Drifter Program hourly drifting buoy collection