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Fix rate2amount error of 1000 when sampling inferred from cftime coord (#2357)

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### Pull Request Checklist:
- [ ] This PR addresses an already opened issue (for bug fixes /
features)
    - This PR fixes #xyz
- [x] Tests for the changes have been added (for bug fixes / features)
- [ ] (If applicable) Documentation has been added / updated (for bug
fixes / features)
- [x] CHANGELOG.rst has been updated (with summary of main changes)
- [x] Link to issue (:issue:`number`) and pull request (:pull:`number`)
has been added

### What kind of change does this PR introduce?
In `rate2amount` and `amount2rate`, when `sampling_rate_from_coord` is
True, which is implicit when the sampling freq is monthly or coarser, we
compute the length of the sampling period by taking the diff of the time
coordinate, we then convert the `timedelta` objects in seconds.

Previously, both time types (`numpy.datetime64` and `cftime`) yielded a
`timedelta64[ns]` dtype when subtracted. But, when pandas introduced
support for other units, xarray followed and now it will often return
`timedelta64[us]` in the cftime case.

This PR changes the conversion to be explicit, not simply assuming
nanoseconds.

### Does this PR introduce a breaking change?
No, it was broken before.

### Other information:
I'm afraid the changes in pandas and xarray are not so recent, so this
bug has been there for a while!!

@Zeitsperre I think this is a patch-release level seriousness (but
perhaps not urgent enough for releasing on a friday).

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