# Just found this package for computationally expensive climate downscaling.. in R!

**URL:** https://discourse.julialang.org/t/just-found-this-package-for-computationally-expensive-climate-downscaling-in-r/126866
**Category:** Offtopic
**Created:** [March 12, 2025, 12:03pm UTC](https://discourse.julialang.org/t/just-found-this-package-for-computationally-expensive-climate-downscaling-in-r/126866 "2025-03-12T12:03:51Z")
**Posts on this page:** 3
**Page:** 1

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### Author: ![sylvaticus](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/sylvaticus/32/203883_2.png) [@sylvaticus](https://discourse.julialang.org/u/sylvaticus)
#### Post date: [March 12, 2025, 12:03pm UTC](https://discourse.julialang.org/t/just-found-this-package-for-computationally-expensive-climate-downscaling-in-r/126866/1 "2025-03-12T12:03:51Z")

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From the readme of [ClimDown](https://github.com/pacificclimate/ClimDown), a Nature-published package to downscale climatic data:

“On our Linux systems, such runs can take up to 7 days to complete. […]  
In general, this downscaling technique is very expensive for large spatiotemporal domains. The more you can limit your domain, the faster your runtime will be.”

Well… the package is written in R! I had a look at the code, it seems the algorithms itself is coded in R, not just a wrap…  
Even if indeed the project is a bit old, I couldn’t really stop thinking why they have chosen R for a computationally intensive task…

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### Author: ![trung](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/trung/32/49217_2.png) [@trung](https://discourse.julialang.org/u/trung)
#### Post date: [March 12, 2025, 2:06pm UTC](https://discourse.julialang.org/t/just-found-this-package-for-computationally-expensive-climate-downscaling-in-r/126866/2 "2025-03-12T14:06:14Z")

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I would guess that the authors of ClimDown chose R because it was the language they were very comfortable with.

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### Author: ![eteppo](https://avatars.discourse-cdn.com/v4/letter/e/90db22/32.png) [@eteppo](https://discourse.julialang.org/u/eteppo)
#### Post date: [March 12, 2025, 4:26pm UTC](https://discourse.julialang.org/t/just-found-this-package-for-computationally-expensive-climate-downscaling-in-r/126866/3 "2025-03-12T16:26:01Z")

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Nice I’ve also seen some packages in mostly-R that do Monte Carlo simulation things and its just very slow. But hey if it’s feasible, a week or two is basically nothing just working on other things in the meantime.
