issue_comments: 1412908603
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| 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/7493#issuecomment-1412908603 | https://api.github.com/repos/pydata/xarray/issues/7493 | 1412908603 | IC_kwDOAMm_X85UN0Y7 | 6628425 | 2023-02-01T23:37:28Z | 2023-02-01T23:37:39Z | MEMBER | Currently in xarray we make the choice based on the calendar attribute associated with the data on disk (following the CF conventions). If the data has a non-standard calendar (or cannot be represented with nanosecond-precision datetime values) then we use cftime; otherwise we use NumPy. Which kind of calendar do PMIP simulations typically use? For some background -- my initial need in this realm came mainly from idealized climate model simulations (e.g. configured to start on 0001-01-01 with a no-leap calendar), so I do not have a ton of experience with paleoclimate research. I would be happy to learn more about your application, however! |
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