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clouddrift.datasets.mosaic

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clouddrift.datasets.mosaic#

clouddrift.datasets.mosaic(decode_times: bool = True) → Dataset[source]#

Returns the MOSAiC sea-ice drift dataset as a ragged array Xarray dataset.

The function will first look for the ragged-array dataset on the local filesystem. If it is not found, the dataset will be downloaded using the corresponding adapter function and stored for later access.

The upstream data is available at https://arcticdata.io/catalog/view/doi:10.18739/A2KP7TS83.

Reference#

Angela Bliss, Jennifer Hutchings, Philip Anderson, Philipp Anhaus, Hans Jakob Belter, Jørgen Berge, Vladimir Bessonov, Bin Cheng, Sylvia Cole, Dave Costa, Finlo Cottier, Christopher J Cox, Pedro R De La Torre, Dmitry V Divine, Gilbert Emzivat, Ying-Chih Fang, Steven Fons, Michael Gallagher, Maxime Geoffrey, Mats A Granskog, … Guangyu Zuo. (2022). Sea ice drift tracks from the Distributed Network of autonomous buoys deployed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition 2019 - 2021. Arctic Data Center. doi:10.18739/A2KP7TS83.

Parameters#

decode_timesbool, optional

If True, decode the time coordinate into a datetime object. If False, the time coordinate will be an int64 or float64 array of increments since the origin time indicated in the units attribute. Default is True.

Returns#

xarray.Dataset

MOSAiC sea-ice drift dataset as a ragged array

Examples#

>>> from clouddrift.datasets import mosaic
>>> ds = mosaic()
>>> ds
<xarray.Dataset>
Dimensions:                     (obs: 1926226, traj: 216)
Coordinates:
    time                        (obs) datetime64[ns] ...
    id                          (traj) object ...
Dimensions without coordinates: obs, traj
Data variables: (12/19)
    latitude                    (obs) float64 ...
    longitude                   (obs) float64 ...
    Deployment Leg              (traj) int64 ...
    DN Station ID               (traj) object ...
    IMEI                        (traj) object ...
    Deployment Date             (traj) datetime64[ns] ...
    ...                          ...
    Buoy Type                   (traj) object ...
    Manufacturer                (traj) object ...
    Model                       (traj) object ...
    PI                          (traj) object ...
    Data Authors                (traj) object ...
    rowsize                     (traj) int64 ...
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