issue_comments: 144794506

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https://github.com/pydata/xarray/issues/597#issuecomment-144794506 https://api.github.com/repos/pydata/xarray/issues/597 144794506 MDEyOklzc3VlQ29tbWVudDE0NDc5NDUwNg== 1217238 2015-10-01T17:30:55Z 2015-10-01T17:30:55Z MEMBER

So unfortunately there isn't an easy way to handle irregular data like this with xray. Before you put this stuff in a single dataset, you would need to align the time variables, probably by doing .reindex with the method argument, which lets you do nearest-neighbor interpolation, or by using .resample. That way, you could make, for example, a dataset with the latest image for each location at the start of each month.

The other option (probably also useful) is to only concatenate one spatial tile along time, so you don't need to do any interpolation or resampling. The should work out of the box with open_mfdataset.

 
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