This was the first essay posted on this Substack site in May of 2021, setting the tone for what was to follow. Troubled by the way the climate debate was clouded by the use of confusing, opaque and complex computer models, the goal of this essay, and of the site, was to show that a compelling case for the reality of a warming planet could be made using basic physical principals, some known for more than 150 years, and two contemporary data sets.
Complex Models Obscure Some Simple, Compelling Relationships
You may have seen the cartoon that has two lab-coated scientists standing in front of a whiteboard. On both the left and right side of the board are a series of complicated equations, and between them a blank space with just the phrase - and then a miracle occurs. One scientist says to the other – Maybe you should be a little more explicit here – or words to that effect.
That cartoon was often in the back of my mind when trying to present climate science to new students or general audiences. We have solid measurements that show we are changing the chemistry of the atmosphere, and that the climate is warming, but linking the two, traditionally, has required reference to the hugely complex computer models that have been constructed for that purpose. When you see predictions for the future, models again take center stage.
Those models represent the state of the art in terms of climate science, but they are opaque to all but the most deeply involved, and can obscure what are some relatively simple and straightforward relationships that are apparent in reported measurements alone. We do not need to resort to complex models to make the major points about climate change. We can do it here in four easy steps.
Steps 1 and 2 – Early Discoveries and an Accurate Prediction
The first two are drawn from questions I use to begin presentations to those new students or general audiences:
1. When did we learn that carbon dioxide can act as a greenhouse gas by absorbing long-wave, or infrared, or “heat” radiation?
2. In what year was the first calculation made by a Nobel-laureate scientist of the impact of a doubling of carbon dioxide in the atmosphere on global temperature?
The answers are 1) the 1850s, and 2) 1896 or 1908, depending on which publication you want to cite.
With this background, we should not be surprised that a simple comparison of long-term measurements of carbon dioxide concentration in the atmosphere (step 3) with recorded changes in global temperatures show a convincingly strong relationship (step 4), and indicate where we are headed.
The whole, rich story can’t be told in this essay format, but what follows is an outline of those four major steps.
1. In 1856, an American scientist named Eunice Foote observed that cylinders filled with carbon dioxide retained heat more effectively than ones filled with ambient air, and proposed that Earth's atmosphere would be warmer with higher concentrations of this gas. By 1860, the Irish physicist John Tyndall had invented a method for measuring the ability of different gases to absorb infrared radiation (act as greenhouse gases), and determined that carbon dioxide, methane, and especially water vapor, were very efficient at this process. He speculated that the Earth would be much colder than it is, were these gases absent from the atmosphere.
2. Svante Arrhenius was awarded one of the first Nobel prizes in chemistry in 1903. At a volatile time in his life, and knowing about both Tyndall’s work and the recently accepted concept of ice ages, Arrhenius spent most of a year doing perhaps as many as 100,000 hand calculations to predict the impact of carbon dioxide on global temperatures. His goal was to see if reductions in carbon dioxide concentrations could have triggered an ice age.
He did not discover the cause of the ice ages, but his exhaustive calculations, as presented in Worlds in the Making in 1908, predicted that a doubling of carbon dioxide in the atmosphere would lead to a 4 degree Celsius (~7 degree Fahrenheit) increase in global temperature. This estimate is within the range of all the other simple or complex calculations performed over the last 120 years. He also predicted, accurately, that temperature increases would not be linear with increased carbon dioxide but non-linear, and that increases would be greater at the poles than the equator. He also knew that the oceans take up a significant amount of emitted carbon dioxide, and that burning coal would increase the carbon dioxide concentration in the atmosphere.
All of these facts are reflected in modern models of the climate system.
Steps 3 and 4 – Measuring Carbon Dioxide and Temperature
3. In the 1950s, Charles Keeling improved the accuracy of methods for measuring carbon dioxide in the atmosphere and pulled together the resources to establish a laboratory atop Mauna Loa on the big island of Hawaii to make continuous measurements of this gas. Those measurements have continued to this day. I present the graph on the left below to general audiences as the climate change icon of our day, and am always surprised by how few people have seen it!
While precise enough to capture the annual cycle of the metabolism of the Northern Hemisphere in the seesaw pattern, the more important trend is the continual increase in concentration over the last 65+ years. Samples from ice cores covering the last 800,000 years tell us that carbon dioxide in the atmosphere was never above 300 parts per million over that vast stretch of time. We are now consistently above 420 parts per million. This increase is due almost entirely to the burning of fossil fuels.
4. The fourth and final step I owe to the students in my Introduction to Environmental Science class. Having presented the simple equation derived from Arrhenius’ calculations (it’s included in the Sources section below) and the Keeling curve, it seemed like a natural thing to put those together with the measured changes in global temperature compiled by the Goddard Institute for Space Science (GISS) and ask the students to use a simple spreadsheet program to test for a relationship.
The results (graph on the right above) were amazing to me, and to my colleagues when presented at a faculty seminar. Not only was the relationship very tight, but it was so precise that the “errors” in the prediction could be further reduced by adding in an index of The El Niño phenomenon, known to affect global temperatures (The blue dots are from the GISS data set, and the black line traces the predictions made using the simple Arrhenius equation and measured concentrations of carbon dioxide at Mauna Loa).
An even bigger surprise was that the same relationship holds for future predictions of carbon dioxide and temperature produced by the complex models of the Intergovernmental Panel on Climate Change (IPCC). This means that both the direct measurements, and the dynamics of the climate system captured in those models, support this straightforward presentation.
(Details of this simple analysis will be presented in another essay two weeks from now, and have also been published in a paper co-authored with Scott Ollinger).
Recapping the Four Easy Steps
Here they are:
1) We’ve known that carbon dioxide is a greenhouse gas since the 1850s.
2) The first calculation of the impact of carbon dioxide on global temperatures was completed by Svante Arrhenius in 1896 and predicted a 4 degree Celsius increase in global temperature for a doubling of carbon dioxide. Over the last 120 years, many other methods have yielded similar results.
3) We have a very precise record of increases in carbon dioxide in the atmosphere and know that this has been caused mainly by burning of fossil fuels
4) As the science of greenhouse gas effects would predict, there is a very strong relationship between carbon dioxide in the atmosphere and global temperature.
The Biggest Uncertainty in our Climate Future is Us
What does this simple story tell us about our future? The biggest uncertainty with regard to global average temperature is not in our understanding of the interactions of greenhouse gases and climate, it is uncertainty as to how the global community chooses to modify future greenhouse gas emissions.
A final summary diagram out of the last report of the IPCC follows the same logic. That diagram, to be included in a later essay, draws a direct relationship between cumulative carbon dioxide emissions and global temperature.
It is important to note that carbon dioxide is not the only greenhouse gas, just the most important one. The strong relationship presented here also says that this gas is a powerful INDEX to the other changes that are happening to the chemistry of the atmosphere. There are good reasons why this should be so, and good data that support those reasons. The next essay will describe both the reasons and the numbers.
The purpose of this Substack site is to present the basics of weather, climate, and climate change in the simplest and most accessible way – hopefully generating more light and less heat. A rational discussion of our climate future requires some basic agreements about the science. The full story from Foote and Tyndall through Arrhenius to Keeling and the IPCC is a rich one and deserves a more complete telling (see the first reference under Sources for one example), but the basics presented here are accurate, and I hope logical and compelling.
Sources:
A more complete presentation of the life and work of Svante Arrhenius is included as the first chapter in:
Aber, J. 2023. Less Heat More Light. Yale University Press. New Haven, CT
Based on this even more complete biography:
Crawford, E. 1996. Arrhenius: From Ionic Theory to the Greenhouse Effect, Science History Publications, Canton, MA, USA. 1996. 320pp. - includes the image of the original version of Worlds in the Making.
Wikipedia pages related to this essay include:
Eunice Newton Foote
John Tyndall (the physicist!)
Svante Arrhenius - includes the image of Arrhenius used here
Keeling Curve
Carbon Dioxide in Earth’s Atmosphere
IPCC
The full IPCC website is at www.ipcc.ch and the graph of cumulative carbon dioxide emissions and global temperature is currently at:
https://www.ipcc.ch/report/ar6/wg1/figures/summary-for-policymakers/figure-spm-10
Data for the “Keeling Curve” are available at:
https://keelingcurve.ucsd.edu/
Global average temperature data from the Goddard Institute for Space Studies can be found here:
https://data.giss.nasa.gov/gistemp/graphs_v4/
The equation used to predict changes in temperature as a function of carbon dioxide is derived from the calculations by Arrhenius and has the form:
Change in temperature = a * ln(C/Co)
A more complete derivation of the relationship between carbon dioxide and temperature in the figure above is available here:
https://eos.org/features/simpler-presentations-of-climate-change