JT Thielen
JT Thielen
> I have an update of the [blogpost draft](https://github.com/xarray-contrib/xwrf/files/9552073/Blogpost.md) but I got a bit stuck implementing the `fsspec` data access. Since one can only natively use `s3://` wildcard-links with the...
I was able to get kerchunk reference json files ([ssp585](https://sample-data-jthielen.s3.us-west-1.amazonaws.com/xwrf/ssp585_gcm_wrfout_combined.json), [ssp245](https://sample-data-jthielen.s3.us-west-1.amazonaws.com/xwrf/ssp245_gcm_wrfout_combined.json), and [a single sample](https://sample-data-jthielen.s3.us-west-1.amazonaws.com/xwrf/gcm_wrfout_d01_2099-10-01_00:00:00.json)) and an [intake catalog](https://sample-data-jthielen.s3.us-west-1.amazonaws.com/xwrf/catalog.yml) generated for these wrf-cmip6 samples, and everything seemed to work locally....
> Yeah, so I don't think this is possible with the `netcdf4` backend. With `zarr`, you can give it a `storage_options` dict via the `backend_kwargs` keyword, but I'm reasonably certain...
> That looks really good, thanks for your work! Did you check whether the `XTIME` vs `Time` dimension length give us any problems in postprocessing? When I `open_mfdataset` them locally,...
With https://github.com/xarray-contrib/xwrf-data/pull/33 now merged, these wrf-cmip6 samples can be loaded simply as ```python import intake import xwrf cat = intake.open_catalog('https://raw.githubusercontent.com/xarray-contrib/xwrf-data/main/catalogs/catalog.yml') ds_unprocessed = cat["xwrf-sample-ssp245"].to_dask() ds = ds_unprocessed.xwrf.postprocess() print(ds) ``` ``` Dimensions:...
Now, with recent updates to https://github.com/xarray-contrib/xwrf/pull/93, we have destaggering too! ```python import intake import xwrf cat = intake.open_catalog('https://raw.githubusercontent.com/xarray-contrib/xwrf-data/main/catalogs/catalog.yml') ds_unprocessed = cat["xwrf-sample-ssp245"].to_dask() ds = ds_unprocessed.xwrf.postprocess().xwrf.destagger() print(ds['U']) ``` ``` dask.array Coordinates: XLAT...
@lpilz This looks like an awesome demonstration, and GIF looks great! I do have feedback on several slight adjustments to adapt the format (both technically and descriptively) for the [xarray.dev...
This seems to fix the dark theme, but not auto (at least for me in Firefox 104 on Linux) for some reason? Auto: ![image](https://user-images.githubusercontent.com/3460034/189409438-8447532a-b256-416c-be1d-5ddffed4ae90.png) Light: ![image](https://user-images.githubusercontent.com/3460034/189409482-e7ac14f2-dc36-4c6e-8393-9eeed650c791.png) Dark: ![image](https://user-images.githubusercontent.com/3460034/189409536-66741a3f-d5fc-424c-b78c-40f3feee1a24.png) I don't...
Just to make the connection between relevant issues, this has been causing problems in MetPy recently: https://github.com/Unidata/MetPy/issues/907. Would it be worth it resolving it here?
@lesserwhirls Thank you for the in-depth explanation...it makes more sense why things are the way they are now, and also why it doesn't look like there can be an "easy"...