id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
424545013,MDU6SXNzdWU0MjQ1NDUwMTM=,2848,"When decode_times fails, warn rather than failing",85125,open,0,,,4,2019-03-23T21:06:16Z,2019-03-25T23:37:27Z,,NONE,,,,"There are various reasons why time decoding can fail on a netcdf or opendap file, but the immediate solution is always to try again with `decode_times=False`.  Therefore it would save time and frustration if instead of failing, `open_dataset` would simply issue a warning for any variable it could not decode, and proceed to decode those that it can.  As an example, here is a URL for which the time coordinate can be converted but there is another time-related array, `tau` that cannot--and that probably shouldn't be, in any case:
```python
import xarray as xr
url = ""http://tds.hycom.org/thredds/dodsC/GLBu0.08/expt_90.9/uv3z""
d0 = xr.open_dataset(url, decode_times=False)
print(d0.time)
print(d0.tau)
```
yielding
```
<xarray.DataArray 'time' (time: 438)>
array([105768., 105792., 105816., ..., 119472., 119496., 119520.])
Coordinates:
  * time     (time) float64 1.058e+05 1.058e+05 ... 1.195e+05 1.195e+05
Attributes:
    long_name:    Valid Time
    units:        hours since 2000-01-01 00:00:00
    time_origin:  2000-01-01 00:00:00
    calendar:     gregorian
    axis:         T
    NAVO_code:    13

<xarray.DataArray 'tau' (time: 438)>
array([0., 0., 0., ..., 0., 0., 0.])
Coordinates:
  * time     (time) float64 1.058e+05 1.058e+05 ... 1.195e+05 1.195e+05
Attributes:
    long_name:    Tau
    units:        hours since analysis
    time_origin:  2013-08-19 00:00:00
    NAVO_code:    56
```

#### Output of ``xr.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 3.6.7 | packaged by conda-forge | (default, Feb 28 2019, 02:16:08) 
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]
python-bits: 64
OS: Darwin
OS-release: 16.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
libhdf5: 1.10.2
libnetcdf: 4.6.1

xarray: 0.12.0
pandas: 0.24.2
numpy: 1.16.2
scipy: 1.2.1
netCDF4: 1.4.1
pydap: None
h5netcdf: 0.6.1
h5py: 2.8.0
Nio: None
zarr: None
cftime: 1.0.0
nc_time_axis: None
PseudonetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.2.1
dask: 0.18.2
distributed: 1.22.0
matplotlib: 2.2.2
cartopy: 0.16.0
seaborn: None
setuptools: 40.0.0
pip: 18.1
conda: 4.5.11
pytest: 3.7.1
IPython: 6.5.0
sphinx: 1.8.0

</details>
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