Showing posts with label GCMs unreliable. Show all posts
Showing posts with label GCMs unreliable. Show all posts

Monday, March 28, 2016

"Climate Models: broken and unreliable" - You think? Check it out.

My "dialogue" with Lawyer continues.  Now she's displaying another favorite contrarian tactic - tossing out claims and quotes, then when I produce evidence and sources that explain 'the rest of the story' that puts said claim in a more realistic light, rather than acknowledging the new information, like an ADHD kid, she doesn't hear a thing instead busying herself with tossing more self-certain delusions into the ether.  Invariably these deflections consist of another know-nothing "authority," the latest being the satirist Delingpole that rabid writer and yet another demonstrable serial liar regarding actual science.

Lost in the flood of words Lawyer assured me that none of the climate models have accurately predicted anything.  Yet the truth of the matter is that many predictions have been made and come to fruition.  These predictions regard fundamental understanding.  Hello Lawyer, ignoring it, doesn't make the reality go away!

In any event, I want to share something Lawyer ignored.  It's an excellent summation put together by Professor Steve Easterbrook based on a talk given by Dr. Pierrehumbert.  He has given me permission to reprint his entire article unaltered.  

I thank Dr. Easterbrook and I hope this summary may come in handy for you.  Dr. Easterbrook assures me copying and sharing this information is A-okay, but please show both the courtesy of giving them credit.

Last week I was at the 2012 AGU Fall Meeting. I plan to blog about many of the talks, but let me start with the Tyndall lecture given by Ray Pierrehumbert, on “Successful Predictions”. You can see the whole talk on youtube, so here I’ll try and give a shorter summary.
Ray’s talk spanned 120 years of research on climate change. The key message is that science is a long, slow process of discovery, in which theories (and their predictions) tend to emerge long before they can be tested. We often learn just as much from the predictions that turned out to be wrong as we do from those that were right. But successful predictions eventually form the body of knowledge that we can be sure about, not just because they were successful, but because they build up into a coherent explanation of multiple lines of evidence.
Here are the successful predictions: