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/784#issuecomment-192340787,https://api.github.com/repos/pydata/xarray/issues/784,192340787,MDEyOklzc3VlQ29tbWVudDE5MjM0MDc4Nw==,1217238,2016-03-04T16:18:17Z,2016-03-04T16:18:17Z,MEMBER,"This doesn't work _automatically_, but you can use the `method='nearest'` and the `tolerance` argument with `.reindex` or `.reindex_like` to align two datasets with different grids, i.e.,

```
second = first.reindex_like(second, method='nearest', tolerance=0.001)
```

It would be nice for this to be able to work automatically, but the challenge is picking a heuristic that does not violate the principle of least surprise. A proposed a few ideas in a related issue in pandas (https://github.com/pydata/pandas/issues/9817#issuecomment-115465360).
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