issue_comments: 432367931

I tried a similar workflow last week with an AWS kubernetes cluster with opendap endpoints and it also failed: https://nbviewer.jupyter.org/gist/rsignell-usgs/8583ea8f8b5e1c926b0409bd536095a9

I thought it was likely some intermittent problem that wasn't handled well. In my case after a while I get: distributed.worker - WARNING - Compute Failed Function: getter args: (ImplicitToExplicitIndexingAdapter(array=CopyOnWriteArray(array=LazilyOuterIndexedArray(array=_ElementwiseFunctionArray(LazilyOuterIndexedArray(array=<xarray.backends.netCDF4_.NetCDF4ArrayWrapper object at 0x7ff93cbbd828>, key=BasicIndexer((slice(None, None, None), slice(None, None, None), slice(None, None, None), slice(None, None, None)))), func=functools.partial(<function _apply_mask at 0x7ff945421378>, encoded_fill_values={1e+37}, decoded_fill_value=nan, dtype=dtype('float64')), dtype=dtype('float64')), key=BasicIndexer((slice(None, None, None), slice(None, None, None), slice(None, None, None), slice(None, None, None)))))), (slice(375, 400, None), slice(0, 7, None), slice(0, 670, None), slice(0, 300, None))) kwargs: {} Exception: OSError(-72, 'NetCDF: Malformed or inaccessible DAP DDS')