clouddrift.adapters

clouddrift.adapters#

This module provides adapters to custom datasets. Each adapter module provides convenience functions and metadata to convert a custom dataset to a clouddrift.RaggedArray instance. Currently, clouddrift provides adapter modules for the hourly Global Drifter Program (GDP) dataset, the 6-hourly GDP dataset, 15-minute Grand LAgrangian Deployment (GLAD) dataset, and the MOSAiC sea-ice drift dataset. More adapters will be added in the future.

Modules

clouddrift.adapters.andro

This module defines functions used to adapt the ANDRO: An Argo-based deep displacement dataset as a ragged-arrays dataset.

clouddrift.adapters.gdp

This module provides functions and metadata to convert the Global Drifter Program (GDP) data to a clouddrift.RaggedArray instance.

clouddrift.adapters.gdp1h

This module provides functions and metadata that can be used to convert the hourly Global Drifter Program (GDP) data to a clouddrift.RaggedArray instance.

clouddrift.adapters.gdp6h

This module provides functions and metadata that can be used to convert the 6-hourly Global Drifter Program (GDP) data to a clouddrift.RaggedArray instance.

clouddrift.adapters.glad

This module defines functions used to adapt the Grand LAgrangian Deployment (GLAD) dataset as a ragged-array Xarray Dataset.

clouddrift.adapters.hurdat2

This module defines functions used to adapt the HURDAT2 cyclone track data as a ragged-array dataset.

clouddrift.adapters.mosaic

This module defines functions used to adapt the MOSAiC sea-ice drift dataset as a ragged-array dataset.

clouddrift.adapters.subsurface_floats

This module defines functions to adapt as a ragged-array dataset a collection of data from 2193 trajectories of SOFAR, APEX, and RAFOS subsurface floats from 52 experiments across the world between 1989 and 2015.

clouddrift.adapters.utils

clouddrift.adapters.yomaha

This module defines functions used to adapt the YoMaHa'07: Velocity data assessed from trajectories of Argo floats at parking level and at the sea surface as a ragged-arrays dataset.