Comments (1)
nicrie
commented on May 28, 2024
Hi zhiweijt - sorry for the late reply!
Upon examining the figures, the results do appear to be consistent. The PCs/EOFs are only defined up to a sign, meaning that an equivalent solution can be obtained by flipping the y-axis of both the PC and the corresponding EOF.
However, it is indeed unexpected to see that the x-axis (time) is inverted in xmca for the same input. This discrepancy might be related to how the time coordinate in the input DataArray is defined. Have you considered sorting the time axis of the DataArray before proceeding with the analysis?
Please note that the order of the data doesn't impact the computation of the EOFs. Hence, if the observed difference is solely due to different ordering of the time steps, the EOFs should remain identical in both packages. Can you confirm whether this is the case for your data?
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Related Issues (15)
- Feedback HOT 1
- multivariate EOF analysis / MCA
- dask support HOT 1
- improve docs with out-of-box MWE
- error when loading and plotting PCA model
- currently only accepts 'lon' and 'lat' as label arguments
- installation error HOT 3
- save_analysis currently does not save cos lat weighting
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- cartopy dependency is too restrictive HOT 3
- MCA errors HOT 23
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- May cause errors after using mca. normalize() HOT 2
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