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https://github.com/pydata/xarray/issues/789#issuecomment-194964987 https://api.github.com/repos/pydata/xarray/issues/789 194964987 MDEyOklzc3VlQ29tbWVudDE5NDk2NDk4Nw== 4295853 2016-03-10T17:22:11Z 2016-03-10T17:22:11Z CONTRIBUTOR

@jhamman and @shoyer, do you know if more general support for times will be provided?

I would say this is a potential roadblock inhibiting easy adoption of this library within the climate community. For example, this is creating problems when we setup and analyze climate models (cc @akturner, @douglasjacobsen, @milenaveneziani). There are obvious work arounds, but they are hacks, e.g., I just add 1700 or some arbitrary year within my wrapper to MPAS at https://github.com/pwolfram/mpas_xarray_wrapper. However, this does not appear to be a viable long-term solution.

Does anyone have some advice on how to better deal with this problem?

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