support for GWPCA about xeofs HOT 11 CLOSED

hey @NILICK GWPCA is not available in xeofs, however, it seems to be a great fit for this package. I don't know when I will have some time to implement it, but I'll put it on the to do list!

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Hey @nicrie, Thanks for your support, it will undoubtedly make the xeofs library more powerful and useful. It seems that after 10 years there is not any option for supporting GWPCA in python.

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I'd like to have a look the coming days, could you provide an exemplary use case that you have in mind? How does the data look like that you would typically analyze? From a quick inspection, I only find examples that analyze spatial data defined on a irregular "grid", or rather a collection of points.

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Hi @nicrie, I apologize for the delay in replying to your message. There is a good exemplary use case with the title: Spatio-temporal analysis of aerosol optical depth using rotated empirical orthogonal function over the Maritime Continent from 2001 to 2020 by Khoir et al., 2022. The spatiotemporal data I am using is an Xarray dataset that is extracted from MODIS data in a regular grid. If you want a sample of this data I can send it for you.

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alright! :) just wanted to be sure what the requirements for a GWPCA class would or could be. I mostly work with regular lon lat grids, similar to what you have. But I guess that GWPCA could also find applications in settings where you have irregular lon lat coordinates or even X and Y dimensions in meters. If you like to share a small sample of your data, that could indeed help! 👍

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Hi @nicrie, I apologize for the delay in sending the sample dataset. I had a problem merging variables in a NetCDF file. I did it using rioxarray. How can I send it (~32 Mb) to you?

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hey no worries! I guess WeTransfer is the easiest?

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Hi @nicrie, I'm sorry, I couldn't find your email address.

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you can send it either to me or post the WT link in this thread here

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version 1.2.0 has been released, which offers basic support for GWPCA (here's an example to get you started). I describe it as "basic" because, while the implementation is optimized for CPU, it lacks GPU support. Given that GWPCA is computationally intensive, I believe the current implementation is best suited for small data sets. I've made several attempts to enhance its performance, but ultimately, I think GPU support will be essential for processing typical-sized climate data. Unfortunately, I won't have the time to delve into that in the near future.

edit: if the link doesn't work give it a couple of minutes and try again

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Thank you very much for your efforts in adding the new capability of GWPCA analysis support in XEOFS.

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