Summary: Today’s post gives a challenge and two useful presentations about climate change. How can climate scientists restart the debate — and gain majority support for large-scale public policy measures for mitigation of and adaptation to climate change? Plus a presentation overflowing with insights about climate science (not what you might expect from a Professor of Statistics), and a presentation by Roger Pielke Sr. about the state of the art in climate science.
“The climate is what you expect; the weather is what you get.”
— From Robert Heinlein’s Time Enough for Love.
A challenge for you
Last week I posted What climate scientists did wrong and while the massive climate change campaign has failed. After 26 years, one of the largest longest campaigns to influence public policy has failed to gain the support of Americans, with climate change ranking near the bottom of people’s concerns. It described the obvious reason: they failed to meet the public’s expectations for behavior of scientists warning about a global threat (i.e., a basic public relations mistake).
The next few posts explain how climate scientists can re-start the public policy debate about climate change and win — gaining approval of large-scale public policy measures for mitigation and adaptation). It’s taken longer than I planned to research; the first goes up tomorrow. So for today I pass the ball to you. Post your recommendations for climate scientists in the comments!
Recommendation #1, a brilliant presentation overflowing with ideas
Here are the slide decks to two interesting presentations. The first is by Leonard A Smith (Prof of Statistics, London School of Economics): “Distinguishing Uncertainty, Diversity and Insight“. It’s long, dense, and difficult to follow without the speech — but brilliant and over-flowing with insights. I especially recommend slides 76-86 describing the constraints limiting climate models. He does it unusually clearly using simple graphs of model complexity (run time) vs. forecast lead time (how far in the future it can see).