html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/6766#issuecomment-1180507258,https://api.github.com/repos/pydata/xarray/issues/6766,1180507258,IC_kwDOAMm_X85GXRx6,10137,2022-07-11T14:49:09Z,2022-07-11T14:49:09Z,NONE,"okay thank you, started issue at:
https://github.com/Unidata/netcdf-c/issues/2459","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581
https://github.com/pydata/xarray/issues/6766#issuecomment-1180471644,https://api.github.com/repos/pydata/xarray/issues/6766,1180471644,IC_kwDOAMm_X85GXJFc,221526,2022-07-11T14:20:06Z,2022-07-11T14:20:06Z,CONTRIBUTOR,"@DanCodigaMWRA Well, given that it's failing with `ncdump`, you can skip netcdf4 and go straight to [netcdf-c](https://github.com/Unidata/netcdf-c).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581
https://github.com/pydata/xarray/issues/6766#issuecomment-1180470141,https://api.github.com/repos/pydata/xarray/issues/6766,1180470141,IC_kwDOAMm_X85GXIt9,10137,2022-07-11T14:18:54Z,2022-07-11T14:18:54Z,NONE,Or maybe I should add to this issue https://github.com/Unidata/netcdf4-python/issues/812 rather than starting a new one? Guidance welcome thanks.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581
https://github.com/pydata/xarray/issues/6766#issuecomment-1180462733,https://api.github.com/repos/pydata/xarray/issues/6766,1180462733,IC_kwDOAMm_X85GXG6N,10137,2022-07-11T14:12:54Z,2022-07-11T14:12:54Z,NONE,"Thanks for these suggestions, very helpful. See below, for details, but as far as I can tell it looks like:
* my conda env (""EQ"") has the same curl, libcurl, ca-certificates, and certifi as your system.
* the ncdump commands gives same error (as netcdf4 and xarray).
I should post an issue at netcdf4, correct?
```
(EQ) PS C:\Users\Codiga_D> conda list curl
# packages in environment at C:\Users\Codiga_D\AppData\Local\Continuum\miniconda3\envs\EQ:
#
# Name Version Build Channel
curl 7.83.1 h789b8ee_0 conda-forge
libcurl 7.83.1 h789b8ee_0 conda-forge
(EQ) PS C:\Users\Codiga_D> conda list certifi
# packages in environment at C:\Users\Codiga_D\AppData\Local\Continuum\miniconda3\envs\EQ:
#
# Name Version Build Channel
ca-certificates 2022.6.15 h5b45459_0 conda-forge
certifi 2022.6.15 py37h03978a9_0 conda-forge
(EQ) PS C:\Users\Codiga_D> ncdump -h http://psl.noaa.gov/thredds/dodsC/Datasets/NARR/monolevel/uwnd.10m.2000.nc
Error:curl error: SSL connect error
curl error details:
Warning:oc_open: Could not read url
C:\Users\Codiga_D\AppData\Local\Continuum\miniconda3\envs\EQ\Library\bin\ncdump.exe: http://psl.noaa.gov/thredds/dodsC/Datasets/NARR/monolevel/uwnd.10m.2000.nc: NetCDF: I/O failure
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581
https://github.com/pydata/xarray/issues/6766#issuecomment-1179403944,https://api.github.com/repos/pydata/xarray/issues/6766,1179403944,IC_kwDOAMm_X85GTEao,221526,2022-07-08T22:22:15Z,2022-07-08T22:22:15Z,CONTRIBUTOR,"I just created a new Python 3.7 environment on my Mac and that worked fine. What do these show?
```
❯ conda list curl
# packages in environment at /Users/rmay/miniconda3/envs/py37:
#
# Name Version Build Channel
curl 7.83.1 h23f1065_0 conda-forge
libcurl 7.83.1 h23f1065_0 conda-forge
❯ conda list certifi
# packages in environment at /Users/rmay/miniconda3/envs/py37:
#
# Name Version Build Channel
ca-certificates 2022.6.15 h033912b_0 conda-forge
certifi 2022.6.15 py37hf985489_0 conda-forge
```
Though I agree this is not an xarray problem at this point. Does it work if you do (with the env active):
```
ncdump -h http://psl.noaa.gov/thredds/dodsC/Datasets/NARR/monolevel/uwnd.10m.2000.nc
```
?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581
https://github.com/pydata/xarray/issues/6766#issuecomment-1179305426,https://api.github.com/repos/pydata/xarray/issues/6766,1179305426,IC_kwDOAMm_X85GSsXS,10137,2022-07-08T19:36:39Z,2022-07-08T19:36:39Z,NONE,"Thanks for the quick response.
Result from `xr.show_versions() `is below.
I tried `netCDF4.Dataset(url) `and it gave the same error.
Just a thought: I still wonder if this could be related to certification... which is something that did change on my system recently.
I looked for information as to where netCDF4 would check for its certificate chain, but wasn't able to find something useful so far.
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 05:37:49) [MSC v.1916 64 bit (AMD64)]
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
LOCALE: (None, None)
libhdf5: 1.12.1
libnetcdf: 4.8.1
xarray: 0.20.2
pandas: 1.3.5
numpy: 1.21.6
scipy: 1.7.3
netCDF4: 1.6.0
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.6.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.2.10
cfgrib: 0.9.10.1
iris: None
bottleneck: 1.3.4
dask: None
distributed: None
matplotlib: 3.5.2
cartopy: 0.20.2
seaborn: 0.11.2
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
setuptools: 59.8.0
pip: 22.1.2
conda: None
pytest: None
IPython: 7.33.0
sphinx: 4.3.2","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581
https://github.com/pydata/xarray/issues/6766#issuecomment-1179301026,https://api.github.com/repos/pydata/xarray/issues/6766,1179301026,IC_kwDOAMm_X85GSrSi,2448579,2022-07-08T19:29:37Z,2022-07-08T19:29:37Z,MEMBER,"OH I see your xarray and netCDF versions. Hmmm...
perhaps @dopplershift has tips for debugging this.
One thing to try is to skip xarray and use netcdf directly
```
import netCDF4
netCDF4.Dataset(url)
```
Does that succeed? If not, let's move this to netcdf4-python","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581
https://github.com/pydata/xarray/issues/6766#issuecomment-1179299848,https://api.github.com/repos/pydata/xarray/issues/6766,1179299848,IC_kwDOAMm_X85GSrAI,2448579,2022-07-08T19:27:44Z,2022-07-08T19:27:44Z,MEMBER,"Works for me with these versions. Can you compare with your versions using `xr.show_versions()`
```
INSTALLED VERSIONS
------------------
commit: None
python: 3.10.5 | packaged by conda-forge | (main, Jun 14 2022, 07:04:59) [GCC 10.3.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1127.18.2.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.1
libnetcdf: 4.8.1
xarray: 2022.3.0
pandas: 1.4.3
numpy: 1.22.4
scipy: 1.8.1
netCDF4: 1.6.0
pydap: None
h5netcdf: None
h5py: 3.7.0
Nio: None
zarr: 2.12.0
cftime: 1.6.0
nc_time_axis: 1.4.1
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.3.4
dask: 2022.6.1
distributed: 2022.6.1
matplotlib: 3.5.2
cartopy: 0.20.3
seaborn: 0.11.2
numbagg: None
fsspec: 0.8.4
cupy: None
pint: None
sparse: None
setuptools: 62.6.0
pip: 22.1.2
conda: None
pytest: None
IPython: 8.4.0
sphinx: None
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1299316581