Guest essay by Dr. Tim Ball
I think, Essex and McKitrick’s Chapter, Climate Theory Versus Models and Metaphors, in their book Taken By Storm, is a very good analysis of the challenges facing climatology. They ask,
Do we have any clues at all on how to start the climb toward the summit of Mount Climate Theory? For a while in the 20th Century, it was looking good. Computers were appearing on the scene, and data were more systematically collected. Many scientists believed that putting in every more copious detail might pull off the climb. Sure, there would always be something missing, but with the aid of more data and the growing computational power, perhaps it wouldn’t matter. It didn’t before. What ultimately did happen in science surprised everyone, and it all had to do with turbulence.”
They raise the internal issue of turbulence, which is legitimate, if you assume the models are valid. I reject that assumption, as I explained in my recent article. I agree with their point that the models changed things, but suggest they are a regression rather than an advance. They created an illusion of possible resolution, with the claim that the only limit was computer size and power.
This raises the question of where we were on Mount Climate Theory before computer models appeared. Where was that relative to the normal progress of the scientific method? A comparison to the development of Darwin’s Theory of Evolution is helpful. The work of Carl Linnaeus (1707 – 1778) was critical to Darwin. The Linnaean system organized a multitude of data into patterns that allowed easier analysis and potential understanding of mechanisms. The Darwinian view is based on the Linnaean system that provides an over-arching or generalist view
Early Generalists
Three scientists from the early 20th century impacted our view and understanding of the world and climate. They knew each other well and worked together on global patterns. One was Milutin Milankovitch, Serbian mathematician and climatologist, whose work combined the effect of changes in Sun/Earth relationships on climate. Alfred Wegener contributed the continental drift theory that provides a fundamental foundation for geology. This has implications for climate through changing land/ocean ratios and latitudes, but also changes in volcanic activity. He married the daughter of Vladimir Koppen, whose training combined meteorology, climatology and botany. His system used plants as an indicator of climate to produce a global climate classification that is the basis of most systems since. Milankovitch said Koppen’s extensive understanding of global climate patterns helped him identify that 65° latitude temperatures were a critical measure.
All three saw their ideas challenged in the appropriate scientific way, but withstood attempts to disprove them. Despite this, the public is generally unaware of their work and its implications. They challenged prevailing views, which always creates a struggle. They also challenged the underlying view of uniformitarianism, the western scientific idea that change is gradual over long periods of time. A common denominator for all their ideas was lack of a mechanism that drove the discernible patterns and evidence. This parallels Darwin’s lack of knowledge about genes and DNA. Koppen’s classification was a model of greater reality and understanding than the computer models that purport to replace it. Koppen didn’t know about the problems with turbulence.
The Linnaean classification system that named, ranked and classified organisms, was a major advance in biology. Vladimir Koppen produced a climate classification system in 1884 that named, ranked, and classified climates and was a major advance in climatology. In my opinion, Koppen is where we are on Mount Climate Theory, with little or no advance because of the political abuse of climate science, the Intergovernmental Panel on Climate Change (IPCC), and their self-serving creations, the climate models.
There are nine major climate zones in the simplest form of Koppen classification (Figure 1). Zones 1, 3, 7 and 9 are singular with similar weather conditions all year influenced by one major control mechanism. The others, 2, 4, 5, and 6 are mixed weather conditions, because they’re under different control mechanisms as the seasons change.
Figure 1: Which region are you in?
Koppen created a system around these nine divisions that are based on average annual precipitation, average monthly temperature and precipitation. He identified six major divisions.
A. Tropical Humid
B. Dry
C. Mild mid-latitude
D. Severe Mid-latitude
E. Polar
H. Highland (added later).
He subdivided these into second and third divisions, based on unique temperature or precipitation conditions.
Unlike the IPCC, that focusses almost exclusively on temperature, Koppen recognized that water, in all its phases, was generally paramount. His B classification is the only one initially determined by annual precipitation, but in applying the classification system, you first determine if it is a B climate. It is not a B climate if there is sufficient precipitation to support trees. If it cannot, Koppen uses a sub-classification letter to separate regions that support grasses BS (for steppe grasslands), from no vegetation at all, BW (desert). A desert is hot or cold, defined by the lack of vegetation not temperature, so a third letter separates h (hot) or k (cold).. The North Pole, BWk, is a cold desert.
Koppen recognized another important issue called, the effectiveness of precipitation. A portion of rainfall is evaporated, what remains goes into the ground and is available for the plants. Koppen defined what was effective, that is available for the plants, by identifying three different annual patterns: rainfall year round; 70% in the summer; or 70% in the winter. Each may have the same annual total, but the amount left for the plants varies considerably.
Koppen modified his system, with revisions in 1918 and 1936, the latter some 52 years after his first publication. He was not done. He died in 1940 at the age of 90, but not before he had produced a more sophisticated system with Rudolf Geiger, another very important early climatologist. Geiger’s valuable book, Climate Near the Ground, published in 1950, was an important contribution to climate science. The Koppen-Geiger system is still in use (Figure 2).
The IPCC effectively exclude Geiger’s findings by using data from the Stevenson Screen between 1.25 and 2 m above ground, that is above the critical biospheric layer in which all interchange between the surface and the atmosphere occurs.
Figure 2: The generally linear pattern of climate is clear.
Practical Climatology
A major part of climate and therefore any climate model, is the movement of water through the Water Cycle. In 1931, Charles Thornthwaite (1889-1963) produced a classification similarly based on precipitation effectiveness and vegetation. It uses total monthly precipitation (P) and evaporation (E) to produce a P/E Index. In 1948, he modified it to include a moisture index that relates the amount of moisture a plant needs, Potential Evapotranspiration (PE), to the available supply, to produce the Actual Evapotranspiration (AE).
The 2007 IPCC Reports says little, but acknowledge lack of data and understanding.
“There are very limited direct measurements of actual evapotranspiration over global land areas. Over oceans, estimates of evaporation depend on bulk flux estimates that contain large errors.”
The problem is, this is the major mechanism of transferal of heat energy in the global system.
In 1946 Thornthwaite opened the Laboratory of Climatology in New Jersey and in 1955 John Mather joined him. They produced a revised system that is the basis of most practical applications of climate work today. Experts, from irrigators to hydrologists, use variations of the model. For example, a paper studied the viability of predicting stream flow in Costa Rica. They concluded;
“These results indicate that the Thornthwaite method can be satisfactorily applied to estimate mean monthly stream- flow in the uplands of Costa Rica.”
Another study used the model for Stormwater Management Planning in Ontario. The contributions of Thornthwaite to practical applications of climate were summarized in a 1996 biography, The Genius of C. Warren Thornthwaite, climatologist-geographer.”
The IPCC makes only one comment about Thornthwaite’s work. In his book, Climate Change: A Natural Hazard, William Kininmonth, former head of Australia’s National Climate Centre says,
“The simple one-dimensional energy balance model used by the IPCC to justify its radiative forcing hypothesis is unrealistic in its portrayal of processes at the earth-atmosphere interface.” The IPCC model suggests that the heat and latent energy exchange between the underlying surface and the atmosphere is a direct response to the imbalance of solar energy and terrestrial radiation at the surface. Such a proposal is at odds with the physics of the surface energy exchange processes.”
It’s one of many errors made to achieve a result; actions that are the opposite of even poor science.
Three scientists from the beginning of the 20th century had a profound impact on our view and understanding of the world and climate, yet are little known. Koppen, Wegener, and Milankovitch did more to help us understand the world and its dynamic systems than most. Some blame the education system used to indoctrinate, rather than teach. It’s the only explanation for continued teaching of a fixed pattern of sun/earth relationships when science knew over 100 years ago how much it changed? However, the biggest hindrance in the 20th century is the IPCC and governments who accepted their findings. This was reinforced by funding only research that proved their views. They settled the science.
I’ve been ridiculed for having a degree in climatology issued through a department of geography. Part of this personal attack is by self-proclaimed climate scientists, as discussed elsewhere, who usually can’t see the forest for the trees. Climatology was and remains a natural study area for geography. Alfred Hettner defined geography as chorology, about which he wrote,
“The goal of the chorological point of view is to know the character of regions and places through comprehension of the existence together and interrelations among different realms of reality and their varied manifestations, and to comprehend the earth surface as a whole in its actual arrangement in continents, larger and smaller regions, and places.”
It’s a summary of the challenges for climate science. I think it’s a challenge for all science that has dissected the world into individual pieces, but lacks the perspective and training to put it back together. Koppen, Wegener and Milankovitch knew. They would have known that applying temperature of a single station to the surrounding 1200 km radius area is wrong. Thanks to the IPCC we have not advanced from their point on Mount Climate Theory.
I like to think about deep time, and I wonder if, when the poles were melted, the rest of the world, nearer the tropics, was a bit cooler so that the average was about the same as today. I will not trust a climate model to tell me.
In fact, tropical conditions expand poleward. For example, during the Eocene, about 50 million years ago, London was a tropical rain forest. That is 50 N. latitude. We know this by fossils from the London Clay. At this time Anchorage was subtropical, with palms (about 60 N latitude). And from the Eocene of Ellesmere Island, at 80 N latitude, are the fossil stumps of metasequoia, “dawn redwood”.
Primates of modern aspect may well have arisen in the subtropical forests of Early Eocene Wyoming:
http://en.wikipedia.org/wiki/Notharctus_tenebrosus
I took a day hike (6 hours in, 6 hours out), you’ll quickly figure out who is in charge.
And the blisters last for 3 weeks, near as I can tell.
Do you prick that blister under the thick skin of your heel or not ?
I didn’t, and walked on it for 3 weeks before it went away.
Any better suggestions would be welcome 🙂
In fact, tropical conditions expand poleward. For example, during the Eocene, about 50 million years ago, London was a tropical rain forest. That is 50 N. latitude. We know this by fossils from the London Clay. At this time Anchorage was subtropical, with palms (about 60 N latitude). And from the Eocene of Ellesmere Island, at 80 N latitude, are the fossil stumps of metasequoia, “dawn redwood”.
Another “You got to be kidding me.” moment.
There would always be something missing. Ok science is never settled, well except for climate science. Ignoring that hypocrisy, the base issue is that climatology has demonstrated it is clueless about what’s missing, and even when gaps are known, alternately deny or ignore them.
But who cares? We have bigger computers!
There is more data, but it is unstable and manipulated constantly because it is mostly super wild ass guesses as to how the various data sources actually work and what they actually represent…
But who cares? We have bigger computers!
What a philosophy, if you can do it wrong, but do it over and over really fast, it comes out right. Sounds silly but that is exactly what is done when they average the average of model runs to get to their forecasts or predictions or trends or whatever they claim models do.
You’ve missed the Grandfather of Climatology – Willett!
IMO H. C. Willett was more of a meteorologist, however long range, than a climatologist.
IMO there are no two grandfathers of climatology, but if I were forced to pick one among American meteorologists (also atmospheric scientist & geologist), it would be Reid Bryson, who famously said, “You can go outside and spit and have the same effect as doubling carbon dioxide”.
By definition models can never explain beyond theory. The media with help of the scientists has misrepresented science to the people. Welcome to the information age.
Footnote to an interesting blog: Koppen was Wegener’s father-in-law.
Brilliant – thanks Dr. Ball. The over-all view. That is real science: to comprehend the whole picture. Not myopically losing yourself in the details of specialities. To see the wood in spite of all the trees. But take heart : the over-all view will win out in the end – it is winning out as we write!
I would like bring to the notice of the group on my work relating to climatic classification agroclimatic classification carried out during late 70s and early 80s. This work, latter I put in to a book: Agroclimatic/Agrometeorological Techniques: As applicable to Dry-land Agriculture in Developing Countries — see at http://www.scribd.com or Google Book search [also available in many libraries — recommended for post-graduate studies in Agrometeorology & Agroclimatology]. 205 pages and published in 1993. The book review appeared in: Agric. For. Meteorol., 67: 325-327 [1994]. Climate change is a part of this book.
Dr. S. Jeevananda Reddy
Just when we needed supercomputers to tell us how bad things are, we invented supercomputers! How lucky was that!
Actual its good question, out in a different way , where was Climate Research before AGW ‘proved’ by these models’ Answer nowhere , a poor relation to physical sciences , little cared about , poorly funded and making no headlines . And now ‘ there many working in this are that own their very careers to the manner in which these models ‘proved ‘ AGW and who know that a return to the bad old days is what await them should ‘the cause ‘ fall . Even setting aside the political ideologies that seem attracted to the subject like a month to a flame , you can easily figure out how they will react to the idea of ditching the models because their a failure .
Where was climate research before modelling and CAGW? It was where the plodders from science courses found respite from having to compete with their peers.
Worse still, the advent of CAGW catapulted these plodders into positions of influence. You only have to look at their output to see the intellectual mediocrity.
Excellent article. The statement was made in the comments that the trouble with models are that they are digital and the world is analog speaks very close to what I say frequently – mathematics can approximate reality, but reality can’t be “computed.’ Because equations can “seem” to reflect what is happening, it somehow becomes set I stone that the world can, in fact, be mathematically modeled and we can predict everything from those models. There is no equation that isn’t an approximation, even if it yields absolute values. Yu can factor in a million factors into any “climate model” you want and in the end, the Earth will still throw you curve balls because this really isn’t a hologram we live in, it is reality. and no, I can’t define reality and I doubt if anyone can.
Well since 70% of earth surface perhaps a classification of oceanic regions should be done.
Excellent post as it gives us a more holistic picture of climate related science and points out the disconnect between what was known and what is the current IPCC “science”.
Interestingly, the Köppen-Geiger model seems to have been used by the two mainstream climate scientist to illustrate the “projected” climate change:
http://koeppen-geiger.vu-wien.ac.at/
– – – – – – –
It was in cooling mode.
John
Dr. Ball suggests here that climatology has regressed since the advent of computer modeling. I have no doubt that is so. Since the present generation of climate scientists took over the field, the science has been in a rut.
The evolution of climate science kind of reminds me of the Borg.
In the 1960s Roddenberry saw technology as this great savior perfect in every way. 20 years latter he saw a dark side. The surrendering of humanity to technology. Modern climate scientists have surrendered their natural curiosity and humanity to computer models.
We are the Borg. You will be assimilated. Resistance is futile. Is pretty much the mantra of modern “climate scientists”
In this discussion of averages and whether to create data points ex nihilo as a way to reduce error, let us consider the extreme case:
2 and 10. The average is 6 but “6” isn’t in the list; it reveals very little about the world. Standard Deviation 5.65 (www.wolframalpha.com/input/?i=standard+deviation+2+10)
2, 6, 6, 6, 6, 6, 6, 10. The average is still six, but now “6” appears many times (all invented of course) and 2, 10 are “outliers”. Standard Deviation = 2.13
Clearly, adding data points changes the Standard Deviation while not necessarily changing the average.
I think the models won’t operate without initial parameters so it is clearly a necessity.
Thanks Tim.A great article. Nice to have Koeppen and Thornthwaite “revered” They were both very much part of the Climatology section I struggled with back in 1958 during completion of my Geography major. It was great also to read of Wegener and his theory of continental drift, later proved fact by Vine and Matthews [I think ] from Cambridge uni. Before that, I had been telling my year nine students about the “Fiery Girdle of the Pacific without having a clue why the Pacific was ringed by volcanoes. Continental drift, sea floor spreading and plate tectonics put that all very nicely into place. It was the most exciting time in my 34 years as a teacher of geography and geology between 1959 and 1992. Actual measurement will knock a model into a cocked hat every time. Cheers Tim.