Ryan Abernathey

Thanks for reporting this issue Mu. We will look at it right away.

> Perhaps this has to do with xrft having trouble computing the frequency coordinate when the original data has no coordinate metadata? Sounds like a good hunch. But we should...

I don't think that dask implements DST: http://dask.pydata.org/en/latest/array-api.html#fast-fourier-transforms So if you wanted to do this, you would probably have to implement it at the dask level. You could start by...

Thanks for doing this Tom! My impression is that most of the heavy lifting is done by [np.digitize](https://github.com/numpy/numpy/blob/098b4d1045b5e30de039749390bd721ce160a7db/numpy/lib/function_base.py#L4825), which is already an accelerated function, there is not much room for...

Hi @ALDepp - thanks a lot for your suggestion! (And sorry it has taken so long to get back to you.) The reason we require a name is that we...

Thanks so much for this much needed maintenance @zmoon! We really appreciate your efforts! 🏆 I am fine with changing any of the configurations in the docs to make things...

I think I found that the problem went away if I chunked the arrays with dask. So that is one temporary workaround. Are you using dask arrays, or are you...

I agree with what @roxyboy said. I'd be happy to accept a PR for this that: - doesn't require deep refactoring of the existing code base - is 100% backwards...

I recommend using this dataset: https://pangeo-forge.org/dashboard/feedstock/3 ```python import xarray as xr store = 'https://ncsa.osn.xsede.org/Pangeo/pangeo-forge/noaa-coastwatch-geopolar-sst-feedstock/noaa-coastwatch-geopolar-sst.zarr' ds = xr.open_dataset(store, engine='zarr', chunks={}) ds ```

Here's how you would make a cached zarr store ```python import zarr url = 'https://ncsa.osn.xsede.org/Pangeo/pangeo-forge/gpcp-feedstock/gpcp.zarr' store = zarr.storage.FSStore(url) cache = zarr.LRUStoreCache(store, max_size=2**28) ds = xr.open_dataset(cache, engine='zarr') ```