clouddrift.datasets.laser

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clouddrift.datasets.laser#

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

Returns the LASER surface drifter 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://doi.org/10.7266/N7W0940J.

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

LASER dataset as a ragged array

Examples#

>>> from clouddrift.datasets import laser
>>> ds = laser()

Reference#

Eric D’Asaro, Cedric Guigand, Angelique Haza, Helga Huntley, Guillaume Novelli, Tamay Ozgokmen, Ed Ryan. 2017. Lagrangian Submesoscale Experiment (LASER) surface drifters, interpolated to 15-minute intervals. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University-Corpus Christi. https://doi.org/10.7266/N7W0940J

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