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pySTEPS / pysteps

Python framework for short-term ensemble prediction systems.
https://pysteps.github.io/
BSD 3-Clause "New" or "Revised" License
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Request for Code Snippet to Recreate Figure 4 from 2023 Paper #415

Closed rutkovskii closed 2 months ago

rutkovskii commented 3 months ago

Hello,

I found the pySTEPS visualization functions very useful, but I need your help with something.

I read the recent paper, titled "Scale-dependent blending of ensemble rainfall nowcasts and NWP in the open-source pysteps library" from 2023, which is referenced at the bottom of the README.md. I'm particularly interested in how you created Figure 4.

I don't need the data you used, but I would like to know the code snippet that generated the plots in a horizontal layout and unified all the predictions using the same colorbar.

I would like to use pySTEPS's visualization functionality for my thesis on Precipitation Nowcasting, where I compare DGMR, NowcastNet, and pySTEPS.

Thank you a lot in advance!

dnerini commented 3 months ago

Hello @rutkovskii , many thanks for the kind message. I suppose @RubenImhoff should be able to help you out on this one.

rutkovskii commented 3 months ago

@dnerini Of course! You are doing very useful project. @RubenImhoff I will be waiting for your message. Thank you.

RubenImhoff commented 2 months ago

Hi @rutkovskii, Thanks for reaching out and I'm happy to hear that you are working with pysteps! Could you send me your email address, then I will forward you a download link for the Python script that I've used to create figure 4 in the paper.

rutkovskii commented 2 months ago

@RubenImhoff

Hi! Thank you so much. Email: Have a great week ahead!

RubenImhoff commented 2 months ago

Great! It should be in your email now. :)

dnerini commented 2 months ago

Thanks @RubenImhoff ! I'm closing this, @rutkovskii feel free to reopen if need be (note that I also edited out your email address above)

rutkovskii commented 2 months ago

Thank you a lot! Wishing you all the best in your research!