Not to be outdone by Utah, South Dakota has passed its own climate resolution.
They raise the ante – where Utah cherry-picked twelve years of data, South Dakotans are happy with only 8. Even better, their pattern matching heuristic violates bathtub dynamics:
WHEREAS, the earth has been cooling for the last eight years despite small increases in anthropogenic carbon dioxide
They have taken the skeptic claim, that there’s little warming in the tropical troposphere, and bumped it up a notch:
WHEREAS, there is no evidence of atmospheric warming in the troposphere where the majority of warming would be taking place
Nope, no trend here:
Satellite tropospheric temperature (RSS, TLT)
The Utah House has declared that CO2 is harmless. The essence of the argument in HJR 12: temperature’s going down, climategate shows that scientists are nefarious twits, whose only interest is in riding the federal funding gravy train, and emissions controls hurt the poor. While it’s reassuring that global poverty is a big concern of Utah Republicans, the scientific observations are egregiously bad:
29 WHEREAS, global temperatures have been level and declining in some areas over the
30 past 12 years;
31 WHEREAS, the “hockey stick” global warming assertion has been discredited and
32 climate alarmists’ carbon dioxide-related global warming hypothesis is unable to account for
33 the current downturn in global temperatures;
34 WHEREAS, there is a statistically more direct correlation between twentieth century
35 temperature rise and Chlorofluorocarbons (CFCs) in the atmosphere than CO2;
36 WHEREAS, outlawed and largely phased out by 1978, in the year 2000 CFC’s began to
37 decline at approximately the same time as global temperatures began to decline;
49 WHEREAS, Earth’s climate is constantly changing with recent warming potentially an
50 indication of a return to more normal temperatures following a prolonged cooling period from
51 1250 to 1860 called the “Little Ice Age”;
The list cherry-picks skeptic arguments that rely on a few papers (if that), nearly all thoroughly discredited. There are so many things wrong here that it’s not worth the electrons to refute them one by one. The quality of their argument calls to mind to the 1897 attempt in Indiana to legislate that pi = 3.2. It’s sad that this resolution’s supporters are too scientifically illiterate to notice, or too dishonest to care. There are real uncertainties about climate; it would be nice to see a legislative body really grapple with the hard questions, rather than chasing red herrings.
First, check out SEED’s recent article, which asks, When it comes to scientific publishing and fame, the rich get richer and the poor get poorer. How can we break this feedback loop?
For to all those who have, more will be given, and they will have an abundance; but from those who have nothing, even what they have will be taken away.
Author John Wilbanks proposes to use richer metrics to evaluate scientists, going beyond publications to consider data, code, etc. That’s a good idea per se, but it’s a static solution to a dynamic problem. It seems to me that it spreads around the effects of the positive feedback from publications->resources->publications a little more broadly, but doesn’t necessarily change the gain of the loop. A better solution, if meritocracy is the goal, might be greater use of blind evaluation and changes to allocation mechanisms themselves.
The reason we care about this is that we’d like science to progress as quickly as possible. That involves crafting a reward system with some positive feedback, but not so much that it easily locks in to suboptimal paths. That’s partly a matter of the individual researcher, but there’s a larger question: how to ensure that good theories out-compete bad ones?
Now check out the work of John Sterman and Jason Wittenberg on Kuhnian scientific revolutions.
Update: also check out filter bubbles.
Beth Sawin just presented our C-ROADS work in Copenhagen. The model will soon be available online and in other forms, for decision support and educational purposes. It helps people to understand the basic dynamics of the carbon cycle and climate, and to add up diverse regional proposals for emissions reductions, to see what they imply for the globe. It’s a small model, yet there are those who love it. No model can do everything, so I thought I’d point out a few other tools that are available online, fairly easy to use, and serve similar purposes.
From MNP, Netherlands. Like C-ROADS, runs interactively. The downloadable demo version is quite sophisticated, but emphasizes discovery of emissions trajectories that meet goals and constraints, rather than characterization of proposals on the table. The full research version, with sector/fuel detail and marginal abatement costs, is available on a case-by-case basis. Backed up by some excellent publications.
Ben Matthews’ Java Climate Model. Another interactive tool. Generates visually stunning output in realtime, which is remarkable given the scale and sophistication of the underlying model. Very rich; it helps to know what you’re after when you start to get into the deeper levels.
The tool used in AR4 to summarize the behavior of 19 GCMs, facilitating more rapid scenario experimentation and sensitivity analysis. Its companion SCENGEN does nice regional maps, which I haven’t really explored. MAGICC takes a few seconds to run, and while it has a GUI, detailed input and output is buried in text files, so I’m stretching the term “friendly” here.
I think these are the premier accessible tools out there, but I’m sure I’ve forgotten a few, so I’ll violate my normal editing rules and update this post as needed.
The Climate Change Science Program web site has the newly-released Scientific Assessment of the Effects of Global Change on the United States frontpage, along with a Revised Research Plan for the CCSP.