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
509285415,MDU6SXNzdWU1MDkyODU0MTU=,3416,Cannot write array larger than 4GB with SciPy netCDF backend,56707780,closed,0,,,6,2019-10-18T20:06:29Z,2019-10-21T08:53:25Z,2019-10-21T08:53:25Z,NONE,,,,"#### MCVE Code Sample
<!-- In order for the maintainers to efficiently understand and prioritize issues, we ask you post a ""Minimal, Complete and Verifiable Example"" (MCVE): http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports -->

```python
# Your code here
import numpy as np
import xarray as xr

random_vals = np.random.randint(0, 10, 180*1024*1024*5)
test_array = random_vals.reshape((180, 1024, 1024, 5))
test_xr = xr.DataArray(test_array, coords=[range(test_array.shape[0]), range(test_array.shape[1]), range(test_array.shape[2]), range(test_array.shape[3])],
                       dims=[""Image"", ""Rows"", ""Cols"", ""Channels""])

test_xr.to_netcdf(""test_xr.nc"", format=""NETCDF3_64BIT"")

```

#### Expected Output
This should either give an error that the requested array is too big to save, or should successfully save it. 

#### Problem Description
<!-- this should explain why the current behavior is a problem and why the expected output is a better solution -->

However, what instead happens is a long a stack trace that gives an OS error , which is confusing to debug. Reducing the dimensionality of the above data by a factor of 10 removes this error, demonstrating that it is a size issue. 

Traceback (most recent call last):
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/IPython/core/interactiveshell.py"", line 3326, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File ""<ipython-input-27-6ad9f8a3fa66>"", line 1, in <module>
    test_xr.to_netcdf(""test_xr.nc"", format=""NETCDF3_64BIT"")
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/xarray/core/dataarray.py"", line 1791, in to_netcdf
    return dataset.to_netcdf(*args, **kwargs)
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/xarray/core/dataset.py"", line 1323, in to_netcdf
    compute=compute)
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/xarray/backends/api.py"", line 822, in to_netcdf
    store.close()
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/xarray/backends/scipy_.py"", line 226, in close
    self._manager.close()
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/xarray/backends/file_manager.py"", line 188, in close
    file.close()
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/scipy/io/netcdf.py"", line 299, in close
    self.flush()
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/scipy/io/netcdf.py"", line 409, in flush
    self._write()
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/scipy/io/netcdf.py"", line 421, in _write
    self._write_var_array()
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/scipy/io/netcdf.py"", line 477, in _write_var_array
    self._write_var_data(name)
  File ""/Users/noahgreenwald/Documents/Grad_School/Lab/Segmentation_Project/code/segmentation/env/lib/python3.6/site-packages/scipy/io/netcdf.py"", line 525, in _write_var_data
    self.fp.write(var.data.tostring())
OSError: [Errno 22] Invalid argument

#### Output of ``xr.show_versions()``
<details>
# Paste the output here xr.show_versions() here
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5 |Anaconda, Inc.| (default, Apr 26 2018, 08:42:37) 
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]
python-bits: 64
OS: Darwin
OS-release: 18.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: None
LOCALE: en_US.UTF-8
libhdf5: None
libnetcdf: None
xarray: 0.12.1
pandas: 0.24.2
numpy: 1.16.3
scipy: 1.2.1
netCDF4: None
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: None
nc_time_axis: None
PseudonetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 2.2.2
cartopy: None
seaborn: None
setuptools: 39.0.1
pip: 9.0.3
conda: None
pytest: None
IPython: 7.8.0
sphinx: None

</details>
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