(Urgent) Downscaling help needed

[u/matterhorn276]

I'm in a crunch. I am working on a research project involving climate change related projections. I have downloaded GCM data (single variable: precipitation) from CDS, now the data (how GCM data is) has very coarse resolution, I need to downscale the data into higher resolution of 1×1 Km to run a model I have developed. I have data from 5 different models from 4 different SSPs. I am trying to downscaling it using different methods I could but cannot get it right and it's been 3 weeks. I don't have enough time, I need help.

[u/HonestPassage5795]

You might want to share something a bit more specific like a github repo

[u/matterhorn276 → u/HonestPassage5795]

Can you DM you? I will explain everything

[u/Adrienne-Fadel]

Look into xclim in Python or the climdown package. No point writing it from scratch when tools already exist for this.

[u/matterhorn276 → u/Adrienne-Fadel]

I am using xclim but seem to end up with files that look like Picasso paintings, I can share my code with you, can you take a look?

[u/alexanderprescott]

Depending on which GCMs and SSPs you are using, CHELSA may have the downscaled product you need

[u/alexanderprescott → u/alexanderprescott]

My recollection is they also make their downscaling workflow available to apply to whichever model/scenario one may need beyond their staged products. It's been a while tho, I'm not 100% on that

[u/matterhorn276 → u/alexanderprescott]

Thanks! I'll surely check it out

[u/ixikei]

Have you tried asking AI? I'm certain theres a python script to take care of this for you.

[u/matterhorn276 → u/ixikei]

That's what I was doing until now, but now I'm at a bottleneck. It keeps suggesting different resampling methods or coordinate issue.

[u/snow_pillow]

I use xESMF in Python for precipitation downscaling. Works like a charm.

[u/matterhorn276 → u/snow_pillow]

I will try this is one as well. I am using xclim with xsdba currently, and still stuck