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/2912#issuecomment-485505651,https://api.github.com/repos/pydata/xarray/issues/2912,485505651,MDEyOklzc3VlQ29tbWVudDQ4NTUwNTY1MQ==,2014301,2019-04-22T18:32:30Z,2019-04-22T18:36:38Z,NONE,"## Diagnosis

Thank you very much! I found this. For now, I will use the load() option. 

### Loading netCDFs
```
In [8]: time ncdat=reformat_LIS_outputs(outlist)
CPU times: user 7.78 s, sys: 220 ms, total: 8 s
Wall time: 8.02 s
```
### Slower export
```
In [6]: time ncdat.to_netcdf('test_slow')
CPU times: user 12min, sys: 8.19 s, total: 12min 9s
Wall time: 12min 14s
```
### Faster export
```
In [9]: time ncdat.load().to_netcdf('test_faster.nc')
CPU times: user 42.6 s, sys: 2.82 s, total: 45.4 s
Wall time: 54.6 s
```
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