The Köppen–Geiger climate classification made simpler (I hope so)

[AzureWings]

I'm getting exactly the results I want--as far as I can tell, every erroneous pixel is changed to the value of its nearest neighbor.

[...]

The only problem I encountered was that certain pixels were corrected to ocean in some maps and corrected to a prec/temp zone in others. To solve this, I wrote another short script that goes through all 4 images and converts those pixels to ocean.

That's pretty good output! The ocean vs. land problem shouldn't need a separate step once I've fixed up the ocean detection bug (the intended behavior of the climate script is already to only treat as land pixels that are land in all four input maps).

[CTA]

Alright, how about these?
New jan precipitation map:

New july precipitation map:

New climate zones:


For this one, I made the assumption that winds blowing from hot current onto land would create precipitation, even if they were coming from a high-pressure zone, but idk if that's valid. I also expanded the effects of the ITCZ over the equator, though i didn't expand the zone much itself.

[Michi il Disperso]

Well, to me is far better! Obviously the output of the script need always a bit of managing, but i think this is a more realistic option.
I wonder why there is still a desert bit in the triangular rain area in the north of the center continent... i see rain there, it shuldn't be desert... however... good job ^^

[CTA]

@AzureWings: Sounds good, I'll send over the script today

[CTA]

Maybe it's because the rain is fairly light?

[Michi il Disperso]

Maybe it's because the rain is fairly light?

Yes, i believe that the calculus that the script do count that rain really light

[CTA]

Alright, finalized my climate map! Here it is:


I smoothed out a few climate zones, added steppes, and corrected things that didn't really make sense (example: the antarctica-like continent at the top was mostly ET, not EF). Some climate zones might still be misplaced (based on their descriptions), but I'm choosing to believe that the script worked and everything is more or less fine.

[AzureWings]

The precipitation scale I used with Azélor's color profile increases by factors of 2 with each step up the color chart, so the darkest purple and colorless are both still pretty dry and there's the additional factor that the precipitation threshold to not be arid gets higher the warmer it is (as a result of higher evaporation rates) so such a relatively-equatorial region needs more rain to avoid being arid than somewhere colder would. It seems very frequent (including on Earth) for As/Aw climates (like the lighter tropical blues) to directly border steppe climates. By the numbers then that little northern bit of desert ringed by steppe is probably correct.

I'm not sure what's up with the ET vs. EF in the northern continent. Assuming you're using the default temperature profile did it have any of color (230, 245, 150)? That's the only category between 0 and 10 degrees C by default which makes it something of the deciding factor between ET and EF.

[Michi il Disperso]

Thanks for the explanation!

[Coyil]

I need a little help with the script. I managed to install python and pillow, but i cannot find the option to run scripts in Photoshop.
Also, is the climates.atn the script?
I am an absoulte n00b when it comes to programming and scripting beyond excel basic.

A step by step guide for dummies would be much appreciated.

*facepalm* I think i got it.

I got it now. C&C welcome:



Personally I think the coast ist too wet and I might have expanded the super dry zone too much. I have to chack with the currents again.

Precipitatio maps January & July


Temperature maps January & July


Currents: