clouddrift.datasets.andro#
- clouddrift.datasets.andro(decode_times: bool = False) Dataset[source]#
Returns the ANDRO 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://www.seanoe.org/data/00360/47077/.
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
ANDRO dataset as a ragged array
Examples#
>>> from clouddrift.datasets import andro >>> ds = andro() >>> ds <xarray.Dataset> Dimensions: (obs: 1360753, traj: 9996) Coordinates: time_d (obs) datetime64[ns] ... time_s (obs) datetime64[ns] ... time_lp (obs) datetime64[ns] ... time_lc (obs) datetime64[ns] ... id (traj) int64 ... Dimensions without coordinates: obs, traj Data variables: (12/33) lon_d (obs) float64 ... lat_d (obs) float64 ... pres_d (obs) float32 ... temp_d (obs) float32 ... sal_d (obs) float32 ... ve_d (obs) float32 ... ... ... lon_lc (obs) float64 ... lat_lc (obs) float64 ... surf_fix (obs) int64 ... cycle (obs) int64 ... profile_id (obs) float32 ... rowsize (traj) int64 ... Attributes: title: ANDRO: An Argo-based deep displacement dataset history: 2022-03-04 date_created: 2023-12-08T00:52:00.937120 publisher_name: SEANOE (SEA scieNtific Open data Edition) publisher_url: https://www.seanoe.org/data/00360/47077/ license: freely available
Reference#
Ollitrault Michel, Rannou Philippe, Brion Emilie, Cabanes Cecile, Piron Anne, Reverdin Gilles, Kolodziejczyk Nicolas (2022). ANDRO: An Argo-based deep displacement dataset. SEANOE. https://doi.org/10.17882/47077