issue_comments: 632238093

Update. I tried installing a virtual environment and running this script on older versions of both netCDF4 and xarray. The end result was that the script stopped working after only a few timesteps instead of the larger number it did before. Here is the full error traceback. Still have not been able to find any info on what this might mean. Would this also be worth posting on the netCDF4 Github page?

Error:

``` IOError Traceback (most recent call last) <ipython-input-2-598b402f7000> in <module>() 18 date_window = list_dates(cur_date - window, cur_date + window) 19 url_list = [url.format(x) for x in date_window] ---> 20 window_data=xr.open_mfdataset(url_list).sst 21 data.append(window_data.mean('time')) 22 print(data[-1])

C:\Users\Eli T\Anaconda3\envs\condavenv\lib\site-packages\xarray\backends\api.pyc in open_mfdataset(paths, chunks, concat_dim, compat, preprocess, engine, lock, data_vars, coords, autoclose, parallel, kwargs) 622 getattr_ = getattr 623 --> 624 datasets = [open_(p, open_kwargs) for p in paths] 625 file_objs = [getattr_(ds, '_file_obj') for ds in datasets] 626 if preprocess is not None:

C:\Users\Eli T\Anaconda3\envs\condavenv\lib\site-packages\xarray\backends\api.pyc in open_dataset(filename_or_obj, group, decode_cf, mask_and_scale, decode_times, autoclose, concat_characters, decode_coords, engine, chunks, lock, cache, drop_variables, backend_kwargs) 318 group=group, 319 autoclose=autoclose, --> 320 **backend_kwargs) 321 elif engine == 'scipy': 322 store = backends.ScipyDataStore(filename_or_obj,

C:\Users\Eli T\Anaconda3\envs\condavenv\lib\site-packages\xarray\backends\netCDF4_.pyc in open(cls, filename, mode, format, group, writer, clobber, diskless, persist, autoclose, lock) 329 diskless=diskless, persist=persist, 330 format=format) --> 331 ds = opener() 332 return cls(ds, mode=mode, writer=writer, opener=opener, 333 autoclose=autoclose, lock=lock)

C:\Users\Eli T\Anaconda3\envs\condavenv\lib\site-packages\xarray\backends\netCDF4_.pyc in _open_netcdf4_group(filename, mode, group, kwargs) 228 import netCDF4 as nc4 229 --> 230 ds = nc4.Dataset(filename, mode=mode, kwargs) 231 232 with close_on_error(ds):

netCDF4_netCDF4.pyx in netCDF4._netCDF4.Dataset.init()

netCDF4_netCDF4.pyx in netCDF4._netCDF4._ensure_nc_success()

IOError: [Errno -37] NetCDF: Write to read only: 'https://www.ncei.noaa.gov/thredds/dodsC/OisstBase/NetCDF/V2.1/AVHRR/201703/oisst-avhrr-v02r01.20170304.nc' ```