clouddrift
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CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.
This is the start of a draft PR to implement the `transfer` module for the wind driven models of Lilly and Elipot 2021 and Elipot and Gille 2009.
Right now `ragged.regular_to_ragged` accepts only numpy array. I think we should expand that function or write a new function that would automatically convert a regular data xarray.dataarray/dataset to a ragged...
When aggregating the gdp1h trajectories into one file the RAM memory utilized during this process requires a machine with greater capacity than 16GB of RAM. Research needs to be done...
This migrates the adapter to leverage dask for the parallelization of the adapter. This makes the adapter much more scalable as Dask can scale to many machines. The memory footprint...
One thing we should enable is the feature to disallow untyped definitions. This option was previously turned off but I've enabled it and fixed all of the issues listed (100+)...