I looked into this deeply about six months ago. I don't remember the specifics.
There's a paper out there where two completely separate groups of scientists disagree with each other on what the adjustments to the data should be. These are not alarmist versus deniers, these are both alarmist scientists who think it's a big problem.
They both can't be correct. Someone is making incorrect adjustments.
As to the models, when the models failed to predict reality, they should have been thrown out. But they keep turning out revision after revision of the models, which continue to fail to predict the future.
You cannot claim that models are predictive of anything until they have successfully predicted actual reality, but what these scientists are doing are saying "well, the models didn't predict well, but we made adjustments and now they predict better), which means nothing. For all we know, the adjustments could've made the predictions worse.
The other side defends by stating that the models are the best we have, but I would argue that they are worse than nothing. They have gone from being wildly inaccurate, to just somewhat inaccurate.
Of course I don't have any proof, because the internal deliberations are not public, the code for the models is not public, and the revisions to the data and models are not public.
Frankly, I'd be very happy if they would release the source code for the models so we could see what a clusterfuck they are.