As the up-sampling uses a forward-fill strategy, this should occur when the model end date is later than the last data entry but still within the duration of that entry.
For example, if the model has a daily timestep and an end date of 10-01-2020 and the the timeseries data has a weekly frequency and a final entry for 09-01-2020, then the resample should produce a value for 10-01-2020 as it is within a week of 09-01-2020.
Currently it does not as the polars resampling is truncated by the bounds of the input data. A solution would be to extend the input timeseries by with another entry. Because forward-fill is used the values for the entry could probably be NaNs.
As the up-sampling uses a forward-fill strategy, this should occur when the model end date is later than the last data entry but still within the duration of that entry.
For example, if the model has a daily timestep and an end date of
10-01-2020and the the timeseries data has a weekly frequency and a final entry for09-01-2020, then the resample should produce a value for10-01-2020as it is within a week of09-01-2020.Currently it does not as the polars resampling is truncated by the bounds of the input data. A solution would be to extend the input timeseries by with another entry. Because forward-fill is used the values for the entry could probably be NaNs.