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CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.

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I am attempting to apply `velocity_from_position` to xarray.DataArrays of lon, lat, and time. I have been following a [tutorial](https://docs.xarray.dev/en/stable/examples/apply_ufunc_vectorize_1d.html) for a similar situation. With the following `ds` Dataset: ``` ds.info()...

bug
question

As discussed with @selipot today who proposed this idea. Current implementation of `subset` is cloud-optimized for criteria that have a `traj` dimension, for example, subsetting by ID: ```python subset(ds, {"ID":...

enhancement
question

Paper: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023GL103558 Code+data: https://zenodo.org/record/8124875

question

Hi, I've recently doing relative dispersion analysis, in which particles are grouped into pairs like ```python pair = [p1, p2] # p1 is a particle represented as xr.Dataset, containing x,...

question

I chatted with an atmospheric scientist (Jeremy Thomas) here at NWRA where I am visiting and he has a dataset of atmospheric balloon and I would like for us to...

enhancement

I am sharing a snippet of code showing how the wavelet transform function from clouddrift can be used with xarray dataarrays. It doesn't work directly because of the `np.moveaxis` function...

bug

Create the adapter module for loading the following dataset: https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP2/EFTSXM

enhancement