Climate Science Glossary

Term Lookup

Enter a term in the search box to find its definition.

Settings

Use the controls in the far right panel to increase or decrease the number of terms automatically displayed (or to completely turn that feature off).

Term Lookup

Settings


All IPCC definitions taken from Climate Change 2007: The Physical Science Basis. Working Group I Contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Annex I, Glossary, pp. 941-954. Cambridge University Press.

Home Arguments Software Resources Comments The Consensus Project Translations About Support

Bluesky Facebook LinkedIn Mastodon MeWe

Twitter YouTube RSS Posts RSS Comments Email Subscribe


Climate's changed before
It's the sun
It's not bad
There is no consensus
It's cooling
Models are unreliable
Temp record is unreliable
Animals and plants can adapt
It hasn't warmed since 1998
Antarctica is gaining ice
View All Arguments...



Username
Password
New? Register here
Forgot your password?

Latest Posts

Archives

EMBARGOED UNTIL 12 August 2011

Climate Skeptic Fool's Gold

Posted on 12 August 2011 by dana1981

Over the past 40 years, global climate models have become dramatically more advanced and complex in their representations of the Earth's climate system.  In the 1970s, when our understanding of the global climate (and our computing power) were still relatively rudimentary, some simple climate models nevertheless yielded global warming predictions which have turned out to be very accurate.  In the 1980s, climate models and computing technology improved, and so did climate scientists' predictions using those models.  Today's climate models are so advanced in their representation of the Earth's complex climate, that they run on some of the world's fastest supercomputers.  As climate models are able to represent the climate more and more accurately, their predictions will continue to improve as well.

Some climate "skeptics" tell us that climate model predictions are worthless because they're just that - models.  It's true that like all models, climate models will never be perfect, but that doesn't mean they can't be useful.  Climate models have already proven that they can make accurate predictions. 

The reason that even simple climate models nearly four decades ago were able to accurately predict the ensuing global warming was that they're based on physics.  For example, we've known since British physicist John Tyndall's laboratory experiments in 1859 that greenhouse gases like carbon dioxide trap heat.  In 1896, Swedish scientist Svante Arrhenius calculated how much the planet would warm in response to a doubling of the amount of carbon dioxide in the atmosphere, and his estimates were not far off from climate scientists' today, because of that solid physical foundation.

Nevertheless, some scientists distrust the conclusions drawn from modern climate models, and have taken to creating simple models of their own.  The most well-known of these climate model "skeptics" is Roy Spencer from the University of Alabama at Huntsville.  Dr. Spencer has become notorious for frequently using variations of a simple climate model - not too dissimilar from those climate scientists were using in the 1980s - to make wild claims that mainstream climate science is wrong, and man-made global warming is nothing to worry about.

The real problem is that while most climate modelers constrain the possible values of their variables based on physical reality, Dr. Spencer does not.  Intead, Dr. Spencer just runs his model without limits and tweaks the parameters until it matches the data.  This is a practice known as "curve fitting".  In some cases, Dr. Spencer has used models with as many as 30 fully adjustable, unconstrained parameters.  With so many variables and apparently no need to match physical reality, Dr. Spencer's model could spit out literally any answer.  As the famous mathematician John von Neumann said,

"With four parameters I can fit an elephant, and with five I can make him wiggle his trunk."

And as Dr. Barry Bickmore added,

"give me more than 30 parameters, and I can fit a trans-dimensional lizard-goat and make rainbow monkeys shoot out its rear end."

Dr. Spencer is not the only scientist to conduct this sort of curve fitting exercise in recent months.  Two other climate "skeptic" scientists, Craig Loehle and Nicola Scafetta, published a paper arguing that the majority of the global warming over the past 40 years has been caused by 20- and 60-year astronomical cycles of Jupiter and Saturn.  These scientists failed to explain physically how Jupiter and Saturn's orbital cycles could have such a large influence on the Earth's temperature.  Instead, they just tried to see how well they could fit global temperature measurements over the past 150 years using a very simple model with 20- and 60-year cycles.

Some have referred to this type of exercise as "climastrology," because trying to blame astronomical cycles for changes on Earth has more in common with astrology than real science.  When we ran these scientists' model back in time and compared it to a temperature reconstruction Loehle himself had created in a previous study, we found that the model diverged dramatically from the data, and the astronomical cycles were nowhere to be found in the actual temperatures.

L&S failure

Their model is just too simple to accurately re-create global temperature changes, and unlike real climate models (even the simple versions in the 1970s), Loehle and Scafetta's model is not based on physical reality.

Nevertheless, these curve fitting exercises have drawn a lot of attention.  Forbes magazine ran a story on Spencer's study, written by James Taylor of the right-wing think tank Heartland Institute.  The article exaggerated Dr. Spencer's findings, and managed to cram the words "alarmist" and "alarmism" into his eight-paragraph article fifteen times.  Despite Forbes' long history of misrepresenting climate science research, the popular search engine website Yahoo decided to re-publish the biased Forbes article, and many other media outlets ran stories on Spencer's study.

The biggest problem is the media's exaggeration of these studies' scientific impacts.  The man-made global warming theory is based on many, many lines of evidence, yet it seems as though every "skeptic" paper is touted as the silver bullet which is going to disprove the entire theory.  It's actually very rare for a single study to overturn a scientific theory.  In most cases, when a paper arrives at the opposite conclusion of all other studies in the field, it's because there are fundamental flaws in the paper.  This is quite clearly the case for the Spencer and Loehle & Scafetta papers; and yet, predictably, they're being touted as silver bullets by those who don't know any better and want to believe the man-made global warming theory is wrong.

This is why an independent inquiry found that even the BBC has been giving climate "skeptics" too much air time.  We should certainly pay attention to any good scientific research, but we shouldn't assume that a study's results overturn the body of scientific evidence just because we want it to be true.  How many times must "skeptic" silver bullets turn out to be fool's gold before we stop assuming that they've disproven the robust man-made global warming theory?

0 0

Comments

There have been no comments posted yet.

You need to be logged in to post a comment. Login via the left margin or if you're new, register here.



The Consensus Project Website

THE ESCALATOR

(free to republish)


© Copyright 2024 John Cook
Home | Translations | About Us | Privacy | Contact Us