Impressive what can be recovered.
My try:
D200_20070802_2088.NEF.xmp (10.9 KB)
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I wanted to take a look at your edit, especially the red (not) showing up but your sidecar doesn’t load on my side. Everything except WB is turned off when I load your pp3
Can you re-upload it?
And before you ask: Yep, I’m on the latest development version (5.8-2750-g6ad419f18)
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@Jade_NL thanks for your request, for this edit i used dev-2711. In the meantime, i am quite sure, those reddish colouring depend of the weird RGB curves, i created.
D200_20070802_2088.NEF.pp3 (14,0 KB)
edit: i tried to load the sidefile in dev-2746 and it worked fine…
2nd edit: i was wrong… the haze removal tool shows a saturation of 100 % - i dont know why… instead of recognizing this, i used the rgb curves as a correction.
3rd edit: and the output profile was set to my monitor , not to sRGB…
so pls forget about my question above
@marter: 
This sidecar loads nicely.
Nice job on correcting the overlooked 100% saturation!
The red is baked into this version and is indeed colour management related.
Anyway; Nice edit!
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I had a look at a map. Distance was more in the 5 km range…
another try…
the other version is way too dark for me …
Remove long distance haze_D200_20070802_2088_01.NEF.xmp (10.0 KB)
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Keep up the good work. Love the goatees! 
The challenge is getting rid of the colour cast.
Yes, but the hard part is knowing how to use the raw-black points module.
Rawpedia says nothing about haze: http://rawpedia.rawtherapee.com/Raw_Black_Points
But it seems to work very well in conjunction with the haze removal module.
But … How do you get those 239-530-477 values in this image?
The same here:
Where do the values 57-224-219 come from?
Do you have to calculate it by eye?
It must be a very well kept secret :))
Regards!
Changing raw black points alters the white balance as a side effect; however, it is counter-intuitive, so I don’t use this technique very much.
Typically, dehaze algorithms estimate what is called airlight (the particles in the air filter light like a lens) and use that to correct the colour. More advanced algorithms do pre- and post-corrections; and machine learning compares colours against similar subjects.
The RawTherapee poor_man_dehaze branch logs them in console when opening a raw 
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)Well that is very good and very useful! I’ll wait for it to merge with dev one day … or on 5.9 !!
Thank you.
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I was wondering this myself, thinking that @heckflosse’s solution was rather nice/clever but maybe not that practical.
Just merged that into my dev branch; That’s a nice one!
At its current info from the terminal state it is somewhat poor-mans indeed, but rather useful in some cases nonetheless! I’m sure you come up with something streamlined in due time 
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That also works in darktable btw, but there you have to enter the black levels in a different order (at least for Nikon D200 files) which makes it a bit harder…
In darktable for this file you have to use 530, 239, 477, 530
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I wasn’t able to use the_poor_man 
and i found the black points looking at Art raw histogram. Values of green and blue was a bit different from yours. 