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/3466#issuecomment-1013673140,https://api.github.com/repos/pydata/xarray/issues/3466,1013673140,IC_kwDOAMm_X848a2y0,6815953,2022-01-15T12:21:44Z,2022-01-17T10:37:59Z,NONE,"Hi all,
I encountered the same problem when trying to download NASA's GEOS-5 data (see below). It worked occasionally but I had to restart the script several times.

```python
import xarray as xr
import pandas as pd

URL ='https://opendap.nccs.nasa.gov/dods/GEOS-5/fp/0.25_deg/assim/inst3_3d_asm_Np'
ds = xr.open_dataset(URL,engine='netcdf4')
var_ls = ['omega', 't', 'v', 'u']
lev_ls = [1000.,  975.,  950.,  925.,  900.,  875.,  850.,  825.,  800.,
        775.,  750.,  700.,  650.,  600.,  550.,  500.,  450.,  400.,
        350.,  300.,  275.,  250.,  225.,  200.,  175.,  150.,  125.,
        100.,   70.,   50.,   30.,   10.,    5.,3, 2, 1]

time_range = pd.date_range('2021-01-02T12', '2021-01-07', freq = '6H')

for sel_date in time_range:
    ds_sel = ds[var_ls].sel(
        time = sel_date,
        lev = lev_ls,
        method = 'nearest'
    )
    ouf_date=sel_date.strftime('%Y%m%d%H')
    outfile = f'geos5_subset_{ouf_date}.nc'
    print(outfile)
    ds_sel.to_netcdf(outfile) 
```
[EDIT] It may have helped to add `.load` before `to_netcdf` though.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,514672231