
I read Willis Eschenbach’s post last week on Trust and Mistrust where he posed several questions and challenged scientists to respond to the same questions. So, below is my take on these questions. There are a couple points I need to make up front. First, I’m speaking for myself only, not as a representative of the National Snow and Ice Data Center or the University of Colorado. Second, I primarily study sea ice; climate science is a big field and I’m hardly a specialist in the technical details of many climate processes. However, I will provide, as best I can, the current thinking of most scientists working in the various aspects of climate science. Except where explicitly called for, I try to provide only scientific evidence and not my beliefs or personal opinions.
Also, I use the term “climate forcing” throughout. I’m sure this is familiar to most readers, but for clarity: a climate forcing is essentially anything that changes the earth’s global radiation budget (the net amount of radiative energy coming into the earth) and thus “forces” the earth’s climate to change.
Preface Question 1: Do you consider yourself an environmentalist?
Yes. However, I’m no tree-hugger. I don’t believe the environment should be preserved at all costs. I love my creature comforts and I don’t think we can or should ask people to significantly “sacrifice” for the environment. My feeling is that the environment has value and this value needs to be considered in economic and political decisions. In other words, the cost of cutting down a tree in a forest isn’t just the labor and equipment but also the intrinsic value of the tree to provide, among other things: (1) shade/scenery/inspiration for someone talking a walk in the woods, (2) a habitat for creatures living in the forest, (3) a sink for CO2, etc. And I don’t doubt at all that Willis is an environmentalist. However, whether one is an environmentalist or not doesn’t make the scientific evidence more or less valid.
Preface Question 2: What single word would you choose to describe your position on climate science?
Skeptic. This may surprise many people. But any good scientist is a skeptic. We always need to challenge accepted wisdom, we need to continually ask “does this make sense?, does it hold up?, is there another explanation?, is there a better explanation?” – not just of the work of other scientists, but also of our own work. However, a good skeptic also recognizes when there is enough evidence to place confidence in a finding. Almost all new theories have initially been looked upon skeptically by scientists of the time before being accepted – gravity, evolution, plate tectonics, relativity, quantum mechanics, etc.
Question 1. Does the earth have a preferred temperature, which is actively maintained by the climate system?
Willis says that he “believes the answer is yes”. In science “belief” doesn’t have much standing beyond initial hypotheses. Scientists need to look for evidence to support or refute any such initial beliefs. So, does the earth have a preferred temperature? Well, there are certainly some self-regulating mechanisms that can keep temperatures reasonably stable at least over a certain range of climate forcings. However, this question doesn’t seem particularly relevant to the issue of climate change and anthropogenic global warming. The relevant question is: can the earth’s temperature change over a range that could significantly impact modern human society? The evidence shows that the answer to this is yes. Over the course of its history the earth has experienced climatic regimes from the “snowball earth” to a climate where ferns grew near the North Pole. Both of those situations occurred tens or hundreds of millions of years ago; but more recently, the earth has experienced several ice age cycles, and just ~12,000 years ago, the Younger Dryas event led to significant cooling at least in parts of the Northern Hemisphere. So while the earth’s climate may prefer to remain at a certain stable state, it is clear that the earth has responded significantly to changes in climate forcings in the past.
Question 2: Regarding human effects on climate, what is the null hypothesis?
I will agree with Willis here – at one level, the null hypothesis is that any climate changes are natural and without human influence. This isn’t controversial in the climate science community; I think every scientist would agree with this. However, this null hypothesis is fairly narrow in scope. I think there is actually a more fundamental null hypothesis, which I’ll call null hypothesis 2 (NH2): are the factors that controlled earth’s climate in the past the same factors that control it today and will continue to do so into the future? In other words are the processes that have affected climate (i.e., the forcings – the sun, volcanic eruptions, greenhouse gases, etc.) in the past affecting climate today and will they continue to do so in the future? A basic premise of any science with an historical aspect (e.g., geology, evolution, etc.) is that the past is the key to the future.
Question 3: What observations tend to support or reject the null hypothesis?
Let me first address NH2. We have evidence that in the past the sun affected climate. And as expected we see the current climate respond to changes in solar energy. In the past we have evidence that volcanoes affected climate. And as expected we see the climate respond to volcanic eruptions (e.g., Mt. Pinatubo). And in the past we’ve seen climate change with greenhouse gases (GHGs). And as expected we are seeing indications that the climate is being affected by changing concentrations of GHGs, primarily CO2. In fact of the major climate drivers, the one changing most substantially over recent years is the greenhouse gas concentration. So what are the indications that climate is changing in response to forcing today as it has in the past? Here are a few:
1. Increasing concentrations of CO2 and other GHGs in the atmosphere
2. Rising temperatures at and near the surface
3. Cooling temperatures in the stratosphere (An expected effect of CO2-warming, but not other forcings)
4. Rising sea levels
5. Loss of Arctic sea ice, particularly multiyear ice
6. Loss of mass from the Greenland and Antarctic ice sheets
7. Recession of most mountain glaciers around the globe
8. Poleward expansion of plant and animal species
9. Ocean acidification (a result of some of the added CO2 being absorbed by the ocean)
It is possible that latter 8 points are completely unrelated to point 1, but I think one would be hard-pressed to say that the above argues against NH2.
Of course none of the above says anything about human influence, so let’s now move on to Willis’ null hypothesis, call it null hypothesis 1 (NH1). Willis notes that modern temperatures are within historical bounds before any possible human influence and therefore claims there is no “fingerprint” of human effects on climate. This seems to be a reasonable conclusion at first glance. However, because of NH2, one can’t just naively look at temperature ranges. We need to think about the changes in temperatures in light of changes in forcings because NH2 tells us we should expect the climate to respond in a similar way to forcings as it has in the past. So we need to look at what forcings are causing the temperature changes and then determine whether if humans are responsible for any of those forcings. We’re seeing increasing concentrations of CO2 and other GHGs in the atmosphere. We know that humans are causing an increase in atmospheric GHGs through the burning of fossil fuels and other practices (e.g., deforestation) – see Question 6 below for more detail. NH2 tells us that we should expect warming and indeed we do, though there is a lot of short-term variation in climate that can make it difficult to see the long-term trends.
So we’re left with two possibilities:
1. NH2 is no longer valid. The processes that have governed the earth’s climate throughout its history have suddenly starting working in a very different way than in the past.
Or
2. NH1 is no longer valid. Humans are indeed having an effect on climate.
Both of these things may seem difficult to believe. The question I would ask is: which is more unbelievable?
Question 4: Is the globe warming?
Willis calls this a trick question and makes the point that the question is meaningless with a time scale. He is correct of course that time scale is important. For NH2, the timescale is one in which the effects of changing forcings can been seen in the climate signals (i.e., where the “signal” of the forcings stands out against the short-term climate variations). For NH1, the relevant period is when humans began to possibly have a noticeable impact on climate. Basically we’re looking for an overall warming trend over an interval and at time-scales that one would expect to see the influence of anthropogenic GHGs.
Question 5: Are humans responsible for global warming?
Willis and I agree – the evidence indicates that the answer is yes.
Question 6: How are humans affecting the climate?
Willis mentions two things: land use and black carbon. These are indeed two ways humans are affecting climate. He mentions that our understanding of these two forcings is low. This is true. In fact the uncertainties are of the same order of as the possible effects, which make it quite difficult to tell what the ultimate impact on global climate these will have. However, Willis fails to directly mention the one forcing that we actually have good knowledge about and for which the uncertainties are much smaller (relative to the magnitude of the forcing): greenhouse gases (GHGs). This is because GHGs are, along with the sun and volcanoes, a primary component that regulates the earth’s climate on a global scale. It might be worth reviewing a few things:
1. Greenhouse gases warm the planet. This comes out of pretty basic radiative properties of the gases and has been known for well over 100 years.
2. Carbon dioxide is a greenhouse gas. This is has been also been known for well over 100 years. There are other greenhouse gases, e.g., methane, nitrous oxide, ozone, but carbon dioxide is the most widespread and longest-lived in the atmosphere so it is more relevant for long-term climate change.
3. The concentration of CO2 is closely linked with temperature – CO2 and temperature rise or fall largely in concert with each other. This has been observed in ice cores from around the world with some records dating back over 800,000 years. Sometimes the CO2 rise lags the temperature rise, as seems to be the case in some of ice ages, but this simply means that CO2 didn’t initiate the rise (it is clear that solar forcing did) and was a feedback. But regardless, without CO2 you don’t get swings between ice ages and interglacial periods. To paraphrase Richard Alley, a colleague at Penn State: “the climate history of the earth makes no sense unless you consider CO2”.
4. The amount of carbon dioxide (and other GHGs) has been increasing. This has been directly observed for over 50 years now. There is essentially no doubt as to the accuracy of these measurements.
5. The increase in CO2 is due to human emissions. There are two ways we know this. First, we know this simply through accounting – we can estimate how much CO2 is being emitted by our cars, coal plants, etc. and see if matches the observed increase in the atmosphere; indeed it does (after accounting for uptake from the oceans and biomass). Second, the carbon emitted by humans has a distinct chemical signature from natural carbon and we see that it is carbon with that human signature that is increasing and not the natural carbon.
6. Given the above points and NH2, one expects the observed temperature rise is largely due to CO2 and that increasing CO2 concentrations will cause temperatures to continue to rise over the long-term. This was first discussed well over 50 years ago.
If you’re interested in more details, I would recommend the CO2 page here: http://www.aip.org/history/climate/co2.htm, which is a supplement to Spencer Weart’s book, “The Discovery of Global Warming”.
Of course, there are other forcings so we don’t expect an exact match between temperatures and GHGs with a completely steady temperature increase. Periods of relatively cooler temperatures, more sea ice, etc. are still part of the natural variations of the climate system that continue to occur. Such periods may last for months or years. The anthropogenic GHG forcing is in addition to the natural forcings, it doesn’t supersede them. And of course, as with any scientific endeavor, there are uncertainties. We can’t give the precise amount warming one gets from a given amount of CO2 (and other GHGs) with 100% certainty; we make the best estimate we can based on the evidence we have. And that tells us that while there are uncertainties on the effect of GHGs, it is very unlikely the effect is negligible and the global effects are much larger than those of land use changes and soot.
Question 7: How much of the post-1980 temperature change is due to humans?
Here Willis says we get into murky waters and that there is little scientific agreement. And indeed this is true when discussing the factors he’s chosen to focus on: land use and soot. This is because, as mentioned above, the magnitudes of these forcings are small and the uncertainties relatively large. But there is broad scientific agreement that human-emitted CO2 has significantly contributed to the temperature change.
Question 8: Does the evidence from the climate models show that humans are responsible for changes in the climate?
Willis answers by claiming that climate models don’t provide evidence and that evidence is observable and measurable data about the real world. To me evidence is any type of information that helps one draw conclusions about a given question. In legal trials, it is not only hard physical evidence that is admitted, but information such as the state of mind of the defendant, motive, memories of eyewitnesses, etc. Such “evidence” may not have the same veracity as hard physical evidence, such as DNA, but nonetheless it can be useful.
Regardless, let me first say that I’m a data person, so I’ve always been a bit skeptical of models myself. We certainly can’t trust them to provide information with complete confidence. It may surprise some people, but most modelers recognize this. However, note that in my response to question 6 above, I never mention models in discussing the “evidence” for the influence of human-emitted CO2 on climate. So avoiding semantic issues, let me say that climate models are useful (though far from perfect) tools to help us understand the evidence for human and other influence on climate. And as imperfect as they may, they are the best tool we have to predict the future.
Question 9: Are the models capable of projecting climate changes for 100 years?
Based on Willis’ answer to Question 1, I’m surprised at his answer here. If the earth has a preferred temperature, which is actively maintained by the climate system, then it should be quite easy to project climate 100 years into the future. In Question 1, Willis proposed the type of well-behaved system that is well-suited for modeling.
However, Willis claims that such a projection is not possible because climate must be more complex than weather. How can a more complex situation be modeled more easily and accurately than a simpler situation? Let me answer that with a couple more questions:
1. You are given the opportunity to bet on a coin flip. Heads you win a million dollars. Tails you die. You are assured that it is a completely fair and unbiased coin. Would you take the bet? I certainly wouldn’t, as much as it’d be nice to have a million dollars.
2. You are given the opportunity to bet on 10000 coin flips. If heads comes up between 4000 and 6000 times, you win a million dollars. If heads comes up less than 4000 or more than 6000 times, you die. Again, you are assured that the coin is completely fair and unbiased. Would you take this bet? I think I would.
But wait a minute? How is this possible? A single coin flip is far simpler than 10000 coin flips. The answer of course is that what is complex and very uncertain on the small scale can actually be predictable within fairly narrow uncertainty bounds at larger scales. To try to predict the outcome of a single coin flip beyond 50% uncertainty, you would need to model: the initial force of the flip, the precise air conditions (density, etc.), along with a host of other things far too complex to do reasonably because, like the weather, there are many factors and their interactions are too complex. However, none of this information is really needed for the 10000 toss case because the influence of these factors tend to cancel each other out over the 10000 tosses and you’re left with a probabilistic question that is relatively easy to model. In truth, many physical systems are nearly impossible to model on small-scales, but become predictable to acceptable levels at larger scales.
Now of course, weather and climate are different than tossing a coin. Whereas coin flips are governed largely by statistical laws, weather and climate are mostly governed by physical laws. And climate models, as I mentioned above, are far from perfect. The relevant question is whether climate can be predicted at a high enough confidence level to be useful. As mentioned in NH2, we find that climate has largely varied predictably in response to past changes in forcing. This is clearly seen in ice core records that indicate a regular response to the change in solar forcing due to changes in the earth’s orbit (i.e., Milankovitch cycles). If climate were not generally predictable, we would expect the earth’s climate to go off into completely different states with each orbital change. But that doesn’t happen – the earth’s climate responds quite regularly to these cycles. Not perfectly of course – it is a complex system – but close enough that the uncertainties are low enough for us to make reasonable predictions.
It is worth mentioning here that while the general response of climate to forcing is steady and predictable, there is evidence for sudden shifts in climate from one regime to another. This doesn’t invalidate NH2, it merely suggests that there may be thresholds in the climate system that can be crossed where the climate transitions quickly into a new equilibrium. When exactly such a transition may occur is still not well known, which adds uncertainty suggest that impacts could come sooner and be more extreme than models suggest. On the other hand, as Willis mentions there may be stabilizing mechanisms that much such transitions less likely.
Finally, Willis says that climate model results are nothing more than the beliefs and prejudices of the programmers made tangible. But if Willis stands by his answer to Question 1 that the climate stays in preferred states, it should be very easy to create a new climate model, without those biases and prejudices, and show that humans aren’t having a significant effect on climate
Question 10: Are current climate theories capable of explaining the observations?
Willis answers no, but he doesn’t answering the question he poses. He instead discusses the climate sensitivity of to CO2 forcing, i.e., 3.7 Watts per square meters leads to a temperature change between 1.5 C and 4.5 C. These numbers are simply a quantitative estimate of NH2, with an associated uncertainty range. Not being able to narrow that range certainly indicates that we still have more to learn. But it’s important to note that as computing power has increased and as our understanding of the climate has increased over the past several decades that range hasn’t shifted much. It hasn’t gone to up to 6.5-9.5 C or down to -4.5 to -0.5 C. So this is further support for NH2. While perhaps we haven’t been able to narrow things down to the exact house in our neighborhood, we’ve gained increasing confidence that the hypothesis that we’re in the right neighborhood is correct.
But getting back to the question Willis posed. Yes, current climate theories are capable of explaining the observations – if one includes GHGs. Increasing GHGs should result in increasing temperatures and that is what we’ve observed. The match isn’t perfect of course, but nor should it expected to be. In addition to anthropogenic GHG forcing, there are other natural forcings still playing a role and there may things we’re not fully accounting for. For example, Arctic sea ice is declining much faster than most models have projected. Remember, where models are wrong does not necessarily provide comfort – things could ultimately be more extreme than models project (particularly if a threshold is crossed).
Question 11: Is the science settled?
This isn’t a particularly well-posed question, for which Willis is not to blame. What “science” are we talking about? If we’re talking about the exact sensitivity of climate to CO2 (and other GHGs), exactly what will be the temperature rise be in the next 100 years, what will happen to precipitation, what will be the regional and local impacts? Then no, the science is not even close to being settled. But if the question is “is NH2 still valid?”, then yes I would say the science is settled. And as a result, we also can say the science is settled with respect to the question: “have human-emitted GHGs had a discernable effect on climate and can we expect that effect to continue in the future?”
Question 12: Is climate science a physical science?
Willis answers “sort of” and that it is a “very strange science” because he defines climate as the “average of weather over a suitably long period of time” and that “statistics is one of the most important parts of climate science”. Our description of climate does indeed rely on statistics because they are useful tools to capture the processes that are too complex to explicitly examine. This is not unlike a lot of physical sciences, from chemistry to biology to quantum physics, which employ statistical approaches to describe processes that can’t be explicitly measured. But statistics are merely a tool. The guts of climate science are the interactions between elements of the climate system (land, ocean, atmosphere, cryosphere) and their response to forcings. This isn’t really all that different from many physical sciences.
Question 13: Is the current peer-review system inadequate, and if so how can it be improved?
There is always room for improvement and Willis makes some good suggestions in this regard. Speaking only from my experience, the process works reasonably well (though not perfectly), quality papers eventually get published and bad papers that slip through the peer-review process and get published can be addressed by future papers.
Question 14: Regarding climate, what action (if any) should we take at this point?
This is of course an economic and political question, not a scientific question, though the best scientific evidence we have can and should inform the answer. So far there isn’t any scientific evidence that refutes NH2 and we conclude that the processes that influenced climate in the past are doing so today and will continue to do so in the future. From this we conclude that humans are having an impact on climate and that this impact will become more significant in the future as we continue to increase GHGs in the atmosphere. Willis answers no and claims that the risks are too low to apply the precautionary principle. The basis for his answer, in practical terms, is his conclusion that NH2 is no longer valid because while GHGs have been a primary climate forcing throughout earth’s history, they are no longer having an impact. This could of course be true, but to me there doesn’t seem to be much evidence to support this idea. But then again, I’m a skeptic.
I have some strong reservations about how Dr. Meier backed into the precautionary principle but I have to say that I wish all climate discussions were as thoughtful, candid, temperate and respectful as his post. He deserves a lot of credit for this substantive contribution.
The earth never in equilibrium!
‘Global warming enthusiasts are arguing that the past decade has been the warmest on record. We are still speaking of tenths of a degree, and the records themselves have come into question’
http://gazettextra.com/news/2010/apr/08/con-earth-never-equilibrium/
I have lurked and learned here for quite awhile, but have never posted. However after reading Mr Meier’s post and the responses to it I felt compelled to comment.
First I think it is a wonder thing that an environment has been created here where experts who do not share the primary views felt here. This is both a credit to Anthony and those who post here who respect views from all sides as long as they are scientific.
Those on the warmist side could learn a lot for the people here.
Thank you Anthony, Walt and all those who post here on both side.
NIce start with first post:
edit
..who do not share the primary views felt here are comfortable to share their views.
I have not been through all of the comments, but wanted to make sure that this is in the discussion:
“But regardless, without CO2 you don’t get swings between ice ages and interglacial periods.” Ouch!!
Overall all time frames, CO2 LAGS temperature changes, and ice ages and 1940s CO2 peaks all saw dropping temperatures while CO2 was high. It is quite clear that CO2 cannot maintain a warm climate, let alone drive a climate to warm.
It is the IPCC’s cherry-picking of the data that led to the false assertion that CO2 has not been higher than now in the recent past. In fact, direct chemical CO2 bottle data (E Beck) shows that CO2 has been much higher than now 3 times in the last 200 years, most recently 440-550 ppm (385 currently) in the 1940s – no problems then – and temperatures dropped while CO2 was high!
There is also very good reason to believe that ice core CO2 data suffers a 30-50% loss of CO2 during the trauma of extraction, putting the more realistic CO2 values totally in line or above today’s values.
The big problem climate science has today is that many scientists trying to truly understand what is happening have not really examined ALL of the false assumptions of the IPCC’s AGW framework – including the false data they promulgate regarding the history of CO2 concentrations.
F Miskolczi and M Zagoni have recently shown quite elegantly that water vapor and CO2 interact to create a constant heat-trapping gas effect such that, as CO2 rises, absolute water vapor drops. And, since water vapor is a superior heat-trapping gas, the net result of replacing water vapor with CO2 would likely be to decrease the overall effect – er, that would be cooling.
(http://www.scribd.com/doc/25071132/The-Saturated-Greenhouse-Effect-Theory-of-Ferenc-Miskolczi)
Furthermore, Miskolczi points out quite well the fact that there is such an abundance of a powerful heat-trapping gas, water vapor, that, if there ever was to be a runaway greenhouse effect, it would have happened long, long ago. There is no reasonable expectation for the climate to wait for the addition of a small amount of an inferior heat-trapping gas, CO2, before warming.
It is the propaganda and junk science of the IPCC that has led so many otherwise fine scientists to tacitly accept that CO2, a trace gas, can cause (significant) warming, that they continue to keep the false meme in their thinking.
This meme needs to be shot on sight and replaced by the meme that direct (chemical) data is superior to indirect (ice core) data and that it is dishonest to cherry-pick CO2 values that fit your opinion (Callendar’s artificial 282 ppm historical CO2 value created by selecting data points in a clearly biased manner.)
Dr Meier: You’re conclusion that since the climate has slightly warmed over the past century and since c02 has increased fractions of fractions of a percentage point, that c02 is the cause for this warming sounds easy to the layman.
But how is this any different:
Say I eat hot dogs every single day in May.
Say the Yankees win all of their baseball games in May.
Does that mean that me eating hot dogs causes the Yankees to win?
Question 7: How much of the post-1980 temperature change is due to humans?
Here Willis says we get into murky waters and that there is little scientific agreement. And indeed this is true when discussing the factors he’s chosen to focus on: land use and soot. This is because, as mentioned above, the magnitudes of these forcings are small and the uncertainties relatively large. But there is broad scientific agreement that human-emitted CO2 has significantly contributed to the temperature change.
———————————
This is a non-starter for an answer. After saying that belief doesn’t count for much in science, he then quotes the belief of the supposed masses to defend his position. The question calls for a fraction or percentage as an answer. *His* answer shows that he isn’t genuinely interested in anything other than AGW because he won’t lay his cards on the table.
Well I scanned Dr Meier’s essay to see what he generally was saying, and I ran into this list of questions and his answers. Don’t know whose questions they are; but I’m thinking tht Willis might have been involved.
Things got really interesting when I got to question # 6 and Dr Meier started talking about Greenhouse gases; well maybe he said GHGs; but then he started to list some GHGs.
Imagine my total astonishment that a PhD Scientist who says he’s a climate scientists can write so many words about greenhouse gases and so far as I can tell, never once mention H2O; by far the most prevalent GHG in earth’s atmosphere; and one which has been a permanent component of that atmosphere for at least as long as CO2 has; well let’s say over at least the last billion years; 600 million anyway.
How it that possible Dr Meier, that you couldn’t even think of H2O in a listing of earth GHG ?
“You can be pretty sure that the answer won’t be 5,000 heads”
A tiny scratch on the coin flipped 10,000 times will affect the balance as well as the aerodynamics of the spinning coin, altering the final result.
Which outcome will dominate (heads or tails) is likely incalculable.
How can a null hypothesis be a question like your NH2? I don’t get that. A null hypothesis is not a question but an assertion like: “Unicorns do not exist”.
Dr. Meier,
I would like to take exception with one point in particular from your post:
Question 12: Is climate science a physical science?
Willis answers “sort of” and that it is a “very strange science” because he defines climate as the “average of weather over a suitably long period of time” and that “statistics is one of the most important parts of climate science”. Our description of climate does indeed rely on statistics because they are useful tools to capture the processes that are too complex to explicitly examine. This is not unlike a lot of physical sciences, from chemistry to biology to quantum physics, which employ statistical approaches to describe processes that can’t be explicitly measured. But statistics are merely a tool. The guts of climate science are the interactions between elements of the climate system (land, ocean, atmosphere, cryosphere) and their response to forcings. This isn’t really all that different from many physical sciences.
My background is in Economics and many of the most powerful objections to CO2-based AGW (or CAGW) Theory have, IMO, been raised by the folks in this field. In particular, Dr. McKitrick (see McKitrick Michaels 2007, see also here), VS’ (appears to be a professional econometrician) discussion on Bart’s blog here, and Beenstock Reingewertz (WUWT discussion here, paper here). I hope this does not offend you, but from my view Climate Science has more in common with Economics than it has with traditional physical sciences.
The similarities are quite striking, and an exhaustive list could stretch for pages but here are a few: 1.) both face an extremely complex system to describe, 2.) modeling for both has been very well funded but still fails to provide predictive power, 3.) both intersect multiple other areas of expertise (sociology, psychology, mathematics, statistics, business, government, and history for Economics – multiple disciplines in physics, geology, biology, oceanography, meteorology and statistics in the case of Climate Science… just to name a few). In school there were two mantras implied by my professors (the good ones who “got it” at least): 1.) correlation is NOT causation (I swear I heard that at least once every day), and 2.) when describing macro relationships there was always an implied caveat of “[this is how we think it works in general]“ because even with something as simple as exchange rates which have a formula to describe them, the equation really describes the tendencies not a hard and fast prediction – the reason for this is that the assumption “all other things being equal” never applies in the real world. I would say as well, that in the climate the same rule applies – “all other things being equal” is NEVER the case.
Economics has a long history of reasonable (good/great sounding) theories, even based on demonstrable and predictable micro relationships, that are completely lost in the macro. It is the reason why Econometrics was developed… so you can take horribly complex time series data and confirm or deny real correlation as opposed to spurious correlation. That’s the first step (which CO2surface temps fail I might add) before causality can be determined.
I say all of this with respect, but I cannot agree with you that climate science – at least in the state is in now – is even remotely a “hard” or physical science. It’s fuzzy and if you don’t think so consider this… what % of the anthropogenic activities that produce CO2 go into building, road construction or direct heating of the atmosphere? How do you know that the seeming correlation between CO2 and temp, is really mostly UHI/LULC and temp with the following logical relationship CO2Temperature? If it were all CO2 (assuming that recent changes were in fact due to anthropogenic forcing), which is well mixed in the atmosphere, then what explains this analysis from Dr. Spencer, which shows in the US a .12 C/decade surface temperature trend difference between stations in low population densities vs. high at a 1 km2 resolution? All things being equal, which they’re not, UHI and LULC – or as I prefer to call it, terraforming – is probably capable of having as significant, if not more, of an impact on “climate” than CO2/GHG – but it could all still be lost in the noise of bigger and more powerful forces in play, namely trade winds, clouds, and oceanic currents.
In Economics we have what I refer to as Institutional Humility (the good ones do at least) almost to the point of absurdity – we almost can’t even talk about things without bringing up exceptions to our own rules and explaining how we could be wrong. We do this because we know how complex the system we are studying is, and how communicating unwarranted certainty is a road to ruin.
Climate Science needs some of that. The certainty with which Lacis describes CO2 as a “control knob”, or that even though the up-tick in CO2 started hundreds of years later than temps the CO2 took over the warming at some undetermined point in time… I am sorry, but it is unwarranted… and take it from an economist, saying otherwise is bad business and, unless you’re absolutely right, will result in a backlash against your field.
Best Regards,
In respect of the peer review for climate change, I would say that the system is defunct. The warmists have shut down the opposition and peer review looks like a club or a gang or a conspiracy – whatever. Radical change needed here I think.
Darn special characters caused a couple misses, but in particular…
Correction here:
How do you know that the seeming correlation between CO2 and temp, is really mostly UHI/LULC and temp with the following logical relationship CO2-UHI/LULC-Temperature?
The implication here is that UHI/LULC, at least partially drives CO2 production and surface temperature changes… and that it would be expected to exhibit a basic correlation with both.
Wren (09:02:15) : “The accuracy of predicting a single coin flip does not become greater the more times you flip. But you can more accurately determine the outcome of 1,000 flips than the outcome of 10 flips”
Not so Wren. If you flipped 10 times, would you be prepared to bet your life that the number of heads was 5 or greater? OR if you flipped 10,000 times, would you bet on 5,000 heads or greater.
The crucial point is that I have kept the probability at 0.5, and the reformulation of the problem has created no improvement in your ability to anticipate the outcome.
So there is no trend to accuracy. Don’t let the refinement of the numerical probability values fool you into thinking otherwise.
The same thing for predicting specific outcomes versus predicting an average of a group of those outcomes. An average value is not the same measure as a specific outcome, and if we don’t change our test criteria, we are simply fooling ourselves into thinking we know more than we do.
Walt Meier makes that mistake in the above post. Right now, it is not clear whether he simply doesn’t understand it, or whether he was trying to pull the wool over your eyes.
Since he is such a nice guy, my guess is that he did not understand the point and should reconsider his arguments.
One more point to make.
Regarding the price of mitigation. One has to realize that a cheap fix is not desirable here. It is NOT what they want.
What the AGW crowd wants is to cripple the industrialized world and stunt the developing countries = they want it to hurt and hurt big time!!! That’s why they hate nuclear power – they do not want a solution to the (false CO2) problem – the problem is what they want.
Wind power and solar power – the environmentalists hate it. Repair an old hydroelectric dam – no, tear it down, they say. They are against people succeeding by themselves or finding solutions. They want the only solution to be to submit to their demands and government control at all imaginable levels – to save (sniff) the planet. Remember, these people know so much better what is good for us than we do, that we would be fools not to do what they say. Rriigghhtt!
Just the other day a Congressman stated that Obamacare was all about wealth redistribution (not covering uninsured) and James Hansen agreed with the idea that the cities should be leveled, industry destroyed, and our meat herds eliminated (to save the planet or is there another agenda here?).
Another Congressman stated, regarding the Obamacare fight, that it takes time to get all of the pieces in place to control the people. Is that what our government is all about today? Yep – and it starts with believing that CO2 is anything but a valuable plant food!
They want a one-world government; they want control of everything. This whole issue has nothing to do with science. Science is just the bent tool they want to use as an excuse to impose Draconian solutions which will not work without national and world level control.
One of Obama’s next moves will likely be to “decrease emissions” by making electricity more expensive and taxing transportation fuels (in the news yesterday). This will increase the cost of everything we do or use – higher cost of living, decreased productivity, and jobs lost. This has nothing to do with AGW and CO2 – this is all about lengthening the recession until we cave and ask the government to save us. They want the pain, crises are their means of achieving goals.
Copenhagen having effectively failed, Obama is now considering instituting with France the beginning of a world level type of banking regulation. Check the agendas and you will find that all goals lead to national and world level (international, unibody) controls of various aspects of our economy and society.
Hillary Clinton’s recent agreement to pursue UN Small Arms Control places many aspects, eventually all, of our private weapons under UN control. After all, if you want to run the world, it helps if you disarm all of the people.
So, mitigation ideas – not wanted, no way. They know how to solve the problem – their way and it’s not at all with our welfare in mind.
Fight the junk science all you want, but the politicians already know that they are right and going ahead with their plans anyhow.
Their null hypothesis is “WE WIN, YOU LOSE” and it is up to us to prove them wrong!
hunter (05:24:17) :
Please also tell us what the chemical properties of human generated carbon are. That is extremely interesting.
——————–
Reply:
Human-generated carbon:
1) Exhaled as a waste product of metabolism. Call it gassey CO2. (Applies to domesticated animals, too, but not those in the wild.)
2) The waste product of burning fuel in an automobile. Call it fumey CO2. (Applies to any internal-combustion engine ranging from lawn trimmer to ocean-going container ship).
3) Chimney gasses from a coal-fired power plant. Call it black CO2. (Natural coal seam fires are excluded, of course.)
4) Stack gasses from a gas-fired power plant or furnace. Call it electro CO2. Includes oil-field flares.
5) Combustion from a wood-burning stove or bon fire. Call it woody CO2.
Now, if lightning strikes a forest and starts a fire, I’m sorry but that CO2 doesn’t get branded as anthropogenic, UNLESS the forest was planted by humans. And if buildings burn in said fire, it is DEFINITELY anthropogenic.
Of course, this branding technique wears off. You can’t expect a molecule of CO2 that was exhaled by some ancient Nile dweller 5,000 years ago to have the same impact as one that was exhaled just yesterday.
Now, if I can just figure out how to read the brands on all these different CO2 molecules…
Yeah, I know… but it’s Friday.
RE: the coin toss fallacy
Inherent in Mr Meier’s argument is that the coin toss is memory-less. Each flip of the coin cannot be influenced by the results of previous flips.
This is contrary to the way the climate works, warming causes shifts in weather patterns which causes more or less warming and more or less rainfall in a tangled almost chaotic web.
Changing the output of one iteration changes the input to the next iteration so errors compound. [They do not even out as the purely random case does.] Therefore it is much much more difficult to predict 100 years in the future than 10 years. A small error compounded over 100 years will probably make the climate model’s output worthless.
@Peter Sorenson (23:17:54) “Sea levels have been rising long before humans could have impacted cllimate, I see no conclusive evidence for an acceleration of the sea level rise. Please post a reference documenting this.”
Fourth Assessment Report, Working Group 1, p410 has a lovely graphic, Fig 5.13. The text notes “Church and White (2006) determined a change of 1.7 ± 0.3 mm yr–1 for the 20th century. Changes in global sea level as derived from analyses of tide gauges are displayed in Figure 5.13.” Church and White (2006) is Church, J.A., and N.J. White, 2006: A 20th century acceleration in global sea-level rise. Geophys. Res. Lett., 33, L01602, doi:10.1029/
2005GL024826. From what I can make out, this was published too late for inclusion in AR4 by the IPCC’s own rules, but then, J.Church (Australia) was one of the lead authors.
Reading the article, we find “The spatial correlations from this data set, expressed as Empirical Orthogonal (eigen)Functions (EOFs), together with the longer but sparse tide-gauge data set, have been used to produce estimates of reconstructed global sea-level variability.” And there you have it – the makings of a hockey stick all over again. Take the raw tide gauge data (http://www.pol.ac.uk/psmsl/psmsl_individual_stations.html )
– the monthly data for New York is a good example, because it extends back to 1860 apart from a bit of a gap (perhaps that is the ‘sparseness’ of the data set referred to) – and you will search in vain for any acceleration. But reconstruct the raw data, and voila! after 1920 it accelerates beautifully. Just remember, if at first you can’t find what you are looking for, reconstruct – its even better than hiding the decline.
Richard Black is at it again! We need a climate change treaty more urgent than ever!
This is the prelude to the next bilge of hog wash to sucker humanity in a permanet state of decline! No matter the state of the ice caps, no matter ClimateGate.
The genie is out of the bottle and unti someone gets it back in….
http://news.bbc.co.uk/2/hi/science/nature/8611811.stm
Mr. Meir is not well informed about climate matters and is certainly about 10 years out of date as regards the real world climate behaviour.
It is a matter of concern that he is in a senior position
Mods, please amend to Dr. Meier in post (11:06:37).
REPLY: ???
Roger Knights (09:48:12) :
The conventional term for what RWS recommends is “adaptation”; “mitigation,” in the context of the global warming debate, means diminution of emissions.
Thanks Roger, I was not intending ‘mitigation” as defined in the global warming context (yikes!), my intention included adaptation or acting after the fact, if there are any detrimental effects at all. I realize climate alarmists are screaming “We have to do something”, but the precautionary proposals they’ve made so far aren’t going to work, and the hyperbole describing the possible effects muddies the science. Shutting off the engines of civilization is not the solution.
Prehistoric adaptation to climate change just meant migration if anything. Historically, some migrations and invasions have been attributed to the effects of climate change.
In the future, the international community can react humanely to any climate-related hardships, just as we have to earthquakes and famines. That is what I meant by mitigation; dealing sensibly and fairly with the results.
hunter (06:37:43) :
Well here is a stab at a third hypothesis irt AGW:
AGW is a social movement often called ‘mania’ or ‘popular delusion’ where a critical mass of true believers and promoters fixate on an idea- it can be real estate, an investment strategy, tulips, eugenics, etc.- and reinforce the power of the idea and certain public policy demands until no dissent or discussion outside of the framework of agreement with that idea is acceptable to its community members…..
HMMMmmmm… That hypothesis seems to fit the facts at least at first glance. Especially given Larry Huldén comment (06:14:38)
Care to disprove it Dr Meier???
Hi Mr Meier. Thanks for being willing to cast your bread upon the WUWT waters, I respect that. Like you I would call myself a skeptic, and I also am not a specialist in these fields — my PhD is in mathematics, which qualifies me mainly to think and to understand the general issues of handling data and extracting logical consequences from observations.
I’m still processing your long post, but a central element in what you write is seriously problematic. You write:
My problem: this is not a null hypothesis. It is not even a hypothesis! As far as I can tell, it is a question! Presumably you know what the scientific process is. Have you ever judged science fair? Do you know what we expect of projects that fall into the category of “hypothesis testing”? When I see a student’s project begin with a “hypothesis” ending in a question mark, I roll my eyes and hope I can find a few pity marks for them because, frankly I know they aren’t about to win any medals.
I hesitate to help you out here, but perhaps you mean that the null hypothesis STATES that contemporary changes in climate are caused by the same factors as have changed it in the past. (Here we should be clear what is meant by “the past” — do we mean “recent holocene”? “since the cycles of ice ages and interglacial periods began”, etc?) As I understand things (and I have read quite broadly on the subject) — we are only just now beginning to understand the smallest fraction of past climate forcings. So such a concept is a mere black box; it has very little tangible content. As past causation of climate change is poorly understood at best, what the null hypothesis says is completely obscure.
Generally, a “null hypothesis” is not tested. It is there as a foil, to negate a proposed hypothesis, like “Mankind is significantly impacting the climate”. It is the primary hypothesis that is subject to testing, and it must be falsifiable; the null hypothesis is the default position — to which one reverts if the primary hypothesis fails the test.
By the way, “Mankind is significantly impacting the climate” is seriously flawed as a primary hypothesis, because it is so vague as to be almost meaningless, and on this basis alone it is unfalsifiable. Even if “significantly” were clearly defined, I think it would fail to act as a guide to research. I would prefer something that makes a specific falsifiable claim. Which particular action of mankind is doing this, and through what mechanism? What is the precise nature of the claimed impact (we must have something quantifiable here!)?
Another problem I have, both with your null hypothesis and the possible implied primary hypotheses is: “who cares?”; “What does it matter?”
Yes, the question as to whether mankind has impacted the climate is of some intellectual and scientific interest. But of greater interest to the general public and policymakers are the following:
1. Are the effects of that impact within the range of natural variation?
2. Is that impact, on balance, harmful, helpful, or neutral in its effect on the world’s biological systems?
And before one procedes to policy, assuming we can answer BOTH 1. (No, it is clearly anomalous) and 2. (Harmful), one must also answer a much more difficult question:
3. Is it possible to remediate in a way that does less harm?
Actually this should be 3a) “is it possible to remediate?” and 3b) “Is a particular proposed remedy worse than the disease”?
Frankly, I have to say that nothing you have written, and nothing I have seen of literature on climate science that is publicly available, has convinced me that we have proceeded beyond question 1. That so many advocates who present themselves as scientists behave as if we have finished answering 3b) is, to me, an outrage.
NSIDCS is one organization that has some hope of getting us partway through question 1. But honestly I think the answer is known before we start. One only needs to look at ice cores or long established knowledge about major climate shifts of the past, both in geological time and in holocene, where we have both historical and proxy records to work from, to know that it will take a lot more than we’ve seen in the databases to establish that contemporary changes are outside natural variation.
When I see the effort expended to swim upstream on this issue by those presenting themselves as “skeptical” scientists with no interest in the outcome, I am disgusted, and the scientist in me rebels, and not because I have some political prejudice. To me this is not political at all. It’s basic common sense. It’s basic science. It is a null hypothesis that better explains data than any of the alarming primary hypotheses inflicted upon this field, and to which we must remain reverted until a worthy challenger is found. Until then, we’re still at question 1.
Cassandra King (23:29:07) :
Well written and my thoughts – exactly…
Tim