
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.
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Wow, this thread is large.
@ur momisugly scienceofdoom (17:47:37) :
Wouldn’t the presence of more water vapor be quantifiable in rainfall totals? More water to precipitate would lead to an increase in rainfall totals and snow accumulations? Is there such a trend in precipitation? Not in Australia, where the droughts are blamed on AGW, but apparently so in America where the several feet of snow in Virginia and Delaware are blamed on AGW. The multiple attributions of cause and effect are confusing, and essentially amounts to ‘whatever happens’ is consistent with modeling, which to me says more about the knowledge behind the modeling than anything else.
ferdiegb (03:04:22) :
“Ice core CO2 in fully enclosed bubbles and firn CO2 at the same depth had the same CO2 level, which was about 7 years “younger” than CO2 levels at the surface.”
Sorry, but the IPCC stand that CO2 has been consistently low until human emissions started is simply unacceptable and too simplistic. Also, it is not credible to discount all papers of direct data except for two which are obviously bad. Again, there is simply little to support the ice core data when it stands more or less alone and does not correlate with more direct measurements.
This area needs more work and even the “tests” need more work.
However, this is all a tempest in a teapot since CO2 cannot and has not driven the climate. When CO2 was high, it has always lagged temperature peaks and in the 1940s it dropped while CO2 was high. Even the ice core data shows that temperatures drop while CO2 is high. Thus, if CO2 cannot maintain a warm climate, it certainly cannot drive a climate to warming.
See F MIskolczi and M Zagoni’s recent work which elegantly describes the interaction of water vapor and CO2 in which they effectively constitute a constant effect – absolute water vapor drops when CO2 rises. Actually, as water vapor is a better heat-trapping gas than CO2, such an interaction with CO2 rising would serve to cool the climate (ever so slightly).
Do not forget that the IPCC altered a thermodynamic factor to up CO2’s heat-trapping ability by 12-fold and then considers water vapor as a 30-fold positive forcing factor. These are both false assumptions, if not simply fraud.
When taken in their real characters, CO2 becomes a non-issue of 0.01 deg C with atmospheric doubling and water vapor is part of a global heat engine – a massive negative forcing factor.
Joel Shore (08:31:46) :
Your argument is a series of illogical assertions that are denied by empirical facts.
You say:
“Richard S Courtney says:
Q1.
What does this even mean?
A2.
It means that the system is governed by deterministic chaos: not radative forcing.
Yeah, but just waving your hands and throwing out words like “attractor” and “chaos” does not a theory make, let alone a theory with any empirical support. Besides which, even if this picture were correct, it would not give us much comfort, as the forcings due to increased greenhouse gases would be likely at some point (which could be very near or not so near, who knows?) drive the system off to some other attractor in phase space. It would just be a suggestion that the climate changes that occur could be quite rapid and discontinuous.”
I respond to your assertions as follows.
All that is needed to show an assumption may not be correct is provision of an alternative assumption that fits the available evidence. And the alternative is more plausible if it better fits the empirical evidence.
You assert that the assumption of radiative forcing being the cause of climate changes must be correct because you do not like a suggested alternative. That assertion is irrational. I have provided a possible alternative explanation, and it better fits the empirical evidence.
I did no “hand waving”. And I gave a complete theory with much empirical support. Please read my post at (01.17.38) on 9.04.2010 that provides this.
Part of the evidence for the climate system being controlled by deterministic chaos (n.b. NOT radiative forcing) is the fact indicated by ice cores that the system DOES exhibit “climate changes that occur could be quite rapid and discontinuous”. These changes are known as ‘climate flickers’ (google ‘climate flickers’ since you seem not to know of them).
Indeed, the postulate of deterministic chaos as the cause of climate changes has much more empirical evidence than the postulate of radiative forcing. If you think otherwise then please use the radiative forcing postulate to explain climate flickers, transition between glacial and interglacial periods, climate stability in each of the glacial and interglacial states, and the ‘snowball Earth’ paradox. Deterministic chaos provides a complete explanation for each of these points. But the radiative forcing assumption cannot explain that the radiative forcing assumption cannot explain any of these factors (and others) that the assumption of deterministic chaos does.
The entire AGW hypothesis fails if the assumption of radiative forcing is not correct. But there is no evidence – none, zilch, nada – that it is correct. Of course, it may be right but it is a big stretch to adopt the assumption of climate change being driven by radiative forcing when there are other more plausible assumptions that explain climate behaviour.
Richard
Magicjava: “Other than the base greenhouse effect that keeps the planet 8 degrees warmer than a blackbody, there is no greenhouse effect of water vapor in the climate and the relationship between water vapor and tropospheric temperatures is a reverse correlation. The more water vapor there is, the colder it is. See comparison of UAH tropospheric temperatures and water vapor here:
http://i15.photobucket.com/albums/a378/magicj/TropWaterVap.png?t=1270934192”
Magicjava: This statement is untrue. There is no question in anyones mind that water vapor is a powerful greenhouse gas and has an indisputable warming effect on the earths surface by IR radiation. But the problem is more complex than you state here. Water vapor cannot enter the atmosphere without being evaporated from the surface. This COOLS the surface to the tune of ~597 cal/g. ( Latent heat of vaporization ). Upon entering the gas phase, water vapor absorbs the more energetic part of the earths surface IR emission left of the IR window ( about 5.5 um ) and significantly out absorbs CO2 regardless of quantity, although quantity adds to the effect enormously.
That tradeoff tends to warm the surface and cool the troposphere until the hydrostatic equations are no longer in equilibrium. Convective overturn rewarms the troposphere by latent heat release back to the troposphere, thus rewidening the IR window to space, and creates partial cloud cover to “reset” the otherwise ascending effective emission height until hydrostatic stabilty is reobtained by also reducing shortwave insolation to the surface.
The processes are quite involved, so it is again misleading to show these graphs and incoirrectly state that water vapor has an inverse relationship to temperature. This is incorrect.
Richard S Courtney (11:40:23) :
“The entire AGW hypothesis fails if the assumption of radiative forcing is not correct.”
Exactly. The IPCC had to go back to basics and alter accepted constants to create the radiative forcing conditions they required – as I described above (Charles Higley (10:48:43)).
The IPCC was pretty funny when they did this; they marveled at how constant the constant had been historically in the literature while changing the value at the same time. “Look, is that Superman?” (wallet being pick-pocketed; number being changed).
In addition, they needed to have manmade CO2 be a greater part of the atmosphere, so they fabricated a 200 year half-life for CO2 in the atmosphere. Not to be outdone, NASA has taken this lie and raised the half-life to 1000 years.
Real science, not political opinion, has the half-life from 2.5 to 20 years, with an average of 5.4 years, much more realistic considering the annual fluctuations that can be seen with the seasons, reflecting the biospheric usage of CO2.
Of course, they habitually and religiously ignore water vapor – the elephant in the room – and the water cycle which trashes their whole positive forcing card-castle.
Dave F :
Not necessarily. It becomes rain after it condenses. It doesn’t necessarily become rain, because it has to fall out of the sky to the ground, but in the first instance it has to condense. Higher temperatures tend to mean less condensation.
Rainfall totals are used to estimate the average annual latent heat transfer because there is no way of measuring the amount of evaporation all around the world, and measuring rainfall is a reasonable estimation of the end of this process. This doesn’t account for slight imbalances (increase in water vapor in the atmosphere) but the rainfall measure itself is not so accurate.
I posted a note with some references about water vapor on Willis’ reply post.
Here, I’m commenting about fusion. Practical fusion energy is about 20 years away, just as it has been for 70 years now.
14 MeV neutrons are just too damaging. Materials just break down too fast to allow for economic use. Think of it as continuous nanowelding of the material without heat treatment or stress relief.
Of course, I’m assuming D-T. p-11B (http://en.wikipedia.org/wiki/Polywell) and other possibilities exist, but I’ll believe it when I see it.
Charles Higley (10:48:43) :
Sorry, but the IPCC stand that CO2 has been consistently low until human emissions started is simply unacceptable and too simplistic. Also, it is not credible to discount all papers of direct data except for two which are obviously bad. Again, there is simply little to support the ice core data when it stands more or less alone and does not correlate with more direct measurements.
If the ice cores in the past 50 years follow atmospheric measurements (firn follows the South Pole data, thus ice formation will follow the measured increase of CO2), I see no reason why the historical CO2 measurements in ice cores would differ from the real CO2 levels at the time that the bubbles were closing (except smoothed by averaging, depending of the accumulation rate). Anyway, there was no peak of CO2 around 1940, as CO2 measurements in ice cores, and proxies like stomata data don’t show a peak, neither do indirect indications like d13C values in trees, ice cores and coralline sponges. Thus the ice cores aren’t the only indications that at least a part of the historical data are unreliable.
Moreover, it is unlikely that such huge quantities are released in such a short time (equivalent to burning 1/3rd of all vegetation on earth in 7 years time) and it is simply impossible that the same amount would be absorbed (by what?) in only 7 years.
Further, there were values measured around the ice core values at some places (oceans, Boston, Wight), while in the same year other places (Vienna, balloon measurements) show extreme high values. That also is impossible. Some, if not all of these measurements must be wrong, or taken near huge sources…
See e.g. the range of historical measurements over the years: ice core data are always within the range, but at the low side. The fact that the direct measurements show such a wide range is sufficient to drop them (near) entirely as unreliable:
http://www.ferdinand-engelbeen.be/klimaat/klim_img/beck_1930_1950.jpg
Since the accurate measurements by Keeling at Mauna Loa and meanwhile many other places, there are no such wide variations found in 95% of the atmosphere. Only over land. Thus drop all historical land based CO2 measurements as unreliable. Which was what Callendar (indirectly) did.
Why I am so persistent on this point? If one want to be taken serious as a sceptic on other, far more important points, one need to be serious on all points. In this case the “consensus” is very solid: all observations agree with humans as the cause of the increase of CO2 in the atmosphere and all alternative explanations are in conflict with one or more observations.
Further, the measured influence of 2xCO2 is about 0.9 C (without any feedbacks) and the half life time of excess CO2 is not 2.5 to 20 years (that is the residence time, nothing to do with how long it takes to reduce the current 380 ppmv back to 290 ppmv), but about 40 years (yes, in part less than what the IPCC says). See the work of Peter Dietze at:
http://www.john-daly.com/carbon.htm
But that is a different discussion…
ferdiegb writes: “Further, the measured influence of 2xCO2 is about 0.9 C (without any feedbacks)”
And where does this come from? More than likely Df/DT = 4sigmaT^3, using Stefan Boltzman for a given mean earth Planck temperature.
But sigma is an integration constant taken over all wavenumbers of emission from a perfect emitter, and so its relevance to a colored absorber at a narrow wavenumber range is highly suspect and likely not correct.
It is also not likely completely correct for water vapor, but much closer, as that constituent absorbs over a much braoder range of IR wavenumbers that are emitted from the earth.
Chuck Wiese (23:01:09) :
ferdiegb writes: “Further, the measured influence of 2xCO2 is about 0.9 C (without any feedbacks)”
It is not my speciality, but I frequently use the Modtran calculations of the Archer’s. These are based on extreme fine laboratory measurements (Hitran) and calculations based on molecular movements. The calculated spectra (and related energy absorption/emissions) can be measured upward by satellites and downward by IR spectroscopy. These confirmed the calculated upward absorption and downward radiation by water, CO2, etc… and the related energy. See:
http://ams.confex.com/ams/pdfpapers/100737.pdf
But with a caveat: the authors show that the measured downwelling by CO2 increased with 3.8 W/m2 since the (simulated) start of the industrial revolution, but they don’t mention that measured water vapour (in winter) was 20 W/m2 less than simulated, this largely influences the result for CO2 in the overlapping bands.
In how far that leads to increased temperatures is a still unresolved question, as that depends of all positive and negative feedbacks which may be involved (and of which we have very little information), like clouds…
ferdiegb (16:12:30) :
“Anyway, there was no peak of CO2 around 1940, as CO2 measurements in ice cores, and proxies like stomata data don’t show a peak, neither do indirect indications like d13C values in trees, ice cores and coralline sponges. Thus the ice cores aren’t the only indications that at least a part of the historical data are unreliable.”
But there should be major differences between 1914-18, the 1930s and 1933-1945. There were wars and major industrial increases either side of a Major Economic Depression.
Why don’t the proxies show this?
scienceofdoom (14:09:06) :
Dave F :
Wouldn’t the presence of more water vapor be quantifiable in rainfall totals?
Dave, I can remember some summers in Wales in the last 40 years where it was very Cloudy the whole time, quite cold and very depressing, but hardly any rain at all
ferdiegb (08:52:28) : “That despite that the oceans at the same moment release a lot of CO2 by heating up.”
How has the CO2 Anomaly remained a dead straight line trend upwards when wold temperatures have shown a slight downward trend and so should have man made CO2 during the 2009 world recession?
The resolution of carbon dioxide and temperature is accurate to the resolution of the lifecycles of the lifeforms incorporating the seawater chemistries into their shells and immediate sedimentary environments. There are also a number of inorganic processes indicative of temperature and atmospheric environments, including exotic locations such as Mars and proto-stars in which calcium carbonates are formed under cryogenic conditions. The precipitation of calcite and presence of calcite seas are indicative of high levels of carbon dioxide, while the precipitation of aragonite and presence of aragonite seas are indicative of low levels of atmospheric carbon dioxide. Calcite seas in the presence of low temperature lifeforms and low temperature inorganic processes are indicative of high carbon dioxide during low temperature climates at the same resoultion of the lifecycles of the biological communities and individuals being sampled.
NickB. (05:33:45) : You’re right. The absolute water is contingent on temperature & pressure. I kept that RH% graph because it shows that whatever temperature is actually doing, RH% has changed. I need to sit down with this and the UAH temps which cover half the time frame. What would be ideal are the readings from which the RH% was computed which should include temperature.
MagicJava
The water content information I was referencing was here: http://www.appinsys.com/GlobalWarming/WaterVapor.htm …with the underlying data sourced from the NOAA Earth System Research Laboratory.
The NYT article referencing “A decrease in water vapor concentrations in parts of the middle atmosphere has contributed to a slowing of Earth’s warming, researchers are reporting.” is here: http://www.nytimes.com/2010/01/29/science/earth/29vapor.html
It’s funny that they would skip over the necessary implication that this should be expected to correlate with higher mid-tropospheric temps and that the decreased green house effect they’re implying would not be the case if total water water content levels were increasing because of increasing concentrations in the lower troposphere.
Dave F :
Wouldn’t the presence of more water vapor be quantifiable in rainfall totals? More water to precipitate would lead to an increase in rainfall totals and snow accumulations? Is there such a trend in precipitation? Not in Australia, where the droughts are blamed on AGW, but apparently so in America where the several feet of snow in Virginia and Delaware are blamed on AGW. The multiple attributions of cause and effect are confusing, and essentially amounts to ‘whatever happens’ is consistent with modeling, which to me says more about the knowledge behind the modeling than anything else.
Higher temperatures mean higher capacity for the atmosphere to hold water.
If an air mass at temperature Y has 100% relative humidity (meaning it can hold all the water vapor possible at that temperature) and cools to lower temperature X then some amount of water vapor in that air will condense to out of the gaseous state into, eventually, some form of precipitation.
This is another area where relative vs. specific/absolute humidity is important to consider. In my reading, which is just ONE way to look at it, all things being equal other than temperature change due to CO2 (which they never are)… “global warming” would probably result in a downward pressure on precipitation across the board until surface evaporation vs. atmospheric water content capacity get back into some semblance of equilibrium.
That assumes, of course, that describing the averages of evaporation, temperature and precipitation as ever having been in a state of “equilibrium” is reasonable – those are the major factors that drive weather. That assumption is no small leap, and for me should not be a given for describing the real world.
Like you, I also find the concept of claiming credit for increasing rain and increasing drought specious. It is built on the assumption that, as I described, a warmer atmosphere can hold more water resulting in a downward pressure on precipitation… but also that because the atmosphere can hold more water it will be able to dump more water in the right conditions. As far as I am concerned, claiming both is more than a little far fetched… and I’m sorry but I just don’t see how current weather has become more “extreme” – any reasonable look through the historical records will show precedents to all our “extremeness” and the alarmist media coverage is no different than the Summer of the Sharks here in the states until proven otherwise.
Chuck Wiese (12:44:29) :
Magicjava:
The processes are quite involved, so it is again misleading to show these graphs and incoirrectly state that water vapor has an inverse relationship to temperature. This is incorrect.
Sorry to step in but I also made that assertion. Is it not true that in a situation where everything other than temperature and water vapor are constant, a given volume of air with more water vapor in it will exhibit lower temperatures than a given volume of air with less water vapor? This necessarily implies that in a situation where atmospheric energy content is static, higher atmospheric water content means lower temperatures. If that is incorrect, please explain why I am looking at it wrong.
We are specifically discussing the physical behavior of the atmosphere and putting aside GHG behavior in describing water content vs. temperature vs. net energy in a given volume of gas. You also say:
There is no question in anyones mind that water vapor is a powerful greenhouse gas and has an indisputable warming effect on the earths surface by IR radiation.
His invocation of blackbody behavior as the basis of comparison is something I took exception to but did not mention in my response. To put GHG’s in proper context you need to consider gray body behavior and that puts us at roughly 11.5% for Greenhouse Effect vs. 88.5% for the surface behavior at explaining the earth’s equilibrium temperature (it’s not really that simple, but that discussion is for another day/thread… for now we’ll go with that).
This is important because the view that radiative forcing from GHGs is *the* controlling factor of climate, and the models built on that assumption, seem to have broken in the last 10 years. Where during 1980-2000 we saw increased temps alongside increased atmospheric water content, for the last 10 years (going off the satellite records Magicjava cited) we have seen increased overall atmospheric water content (specifically in the lower troposphere, with down trends in the mid-upper levels) alongside a slight down trend in temps.
Per the “consensus” view, anthropogenic changes in GHGs (mainly CO2) were responsible for the increase in water vapor between 1980-2000, and that the net effect of this forcing accounted for the changes in measured ocean heat content (which really only measures down so far but anyway), *and* global surface temp, *and* atmospheric temp changes. Note that between OHC and atmospheric temps increasing alongside water content, this implies a massive amount of new energy being stored in the system. There is absolutely no explanation for where this missing energy has been going for the last 10 years in general in terms of atmospheric temps, or the last 3-4 years in particular with OHC having leveled out as well.
The mechanisms that underly this are complex, no disagreement, but you have to look at net energy content. If the consensus view is correct there should be massive amounts of missing energy because CO2, other GHGs, and water content have all continued to increase for the last ten years just the same as they had for the 20 years prior… while temps have stopped increasing and *measured* net energy in the system appears to have essentially flat-lined in recent years.
In my view this implies that the CO2-to-atmospheric water content correlation between 1980 and 2000 is spurious, as are the relationships derived from it and programmed into the models. Most likely there are bigger players involved that have not been factored in.
It’s important to note as well that we have no atmospheric water content or OHC data for the 1911-1945 warming that is, from a magnitude standpoint, essentially equal to the increase from 1979-on. We do know that anthropogenic CO2 and other GHG pressures cannot explain it, neither can solar variability. It’s also important to note that OHC data appears to be incomplete (they can only go down so far). Something else is lurking out there, and whatever it is it’s big. This does not imply that there is no impact to CO2, but it seems to have been shoe-horned in as the explanation for recent warming and the mechanisms used to explain that have, again, appeared to have broken for the last 10 or so years.
Steve Keohane (09:33:00) :
This page – I don’t vouch for it necessarily, just ran across it trying to find information on atmospheric water levels but seems to be well written and well sourced – references a NOAA source for the information: http://www.esrl.noaa.gov/psd/cgi-bin/data/timeseries/timeseries1.pl
It seems like no easy task to find out about this stuff – Wiki refers to atmospheric content of water vapor as between 0-4% 🙁
Cheers!
A C Osborn (05:09:03) :
But there should be major differences between 1914-18, the 1930s and 1933-1945. There were wars and major industrial increases either side of a Major Economic Depression.
Why don’t the proxies show this?
The best ice core resolution is about 8 years, thus any relative small change in emissions during a relative short time wouldn’t be measurable. For the period 1910-1920 the emissions varied between 815 and 955 MtC/year, the difference in increase rate, if a fraction of 55% stays in the atmosphere is about 0,05 ppmv, even with the current accuracy of direct measurements not detectable.
For the 1930’s, the drop in emissions was about 300 MtC/years, thus about 0.08 ppmv, again not measurable in ice cores (1.2 ppmv accuracy at 8 years resolution) and the 1933-1944 period shows an increase in emissions of about 400 MtC/year (900-1300 MtC/yr) or an increase in atmospheric increase of 0.1 ppmv/year…
Thus the influence even of major disturbances in emissions is rather limited and not measurable in ice cores. The more that fast temperature changes (like El Niño) have far more (temporarely) influence (about 4 ppmv/C).
How has the CO2 Anomaly remained a dead straight line trend upwards when world temperatures have shown a slight downward trend and so should have man made CO2 during the 2009 world recession?
The current emissions, until recently, were about 8 GtC/year, that gives an increase of about 2 ppmv/year in the atmosphere. Even if the temperature dropped 0.5 C over the past 10 years, that would translate into a drop of about 0.2 ppmv/year, if there were no emissions. That means that the measured increase would be 1.8 ppmv/yr instead of 2.0 ppmv/yr. Hard to be noticed in the trend…
I have no recent figures for the emissions, but even with a 20% drop in emissions (but heating got up this winter…), there still would be an increase of 1.6 ppmv/yr, or 1.4 ppmv/yr with the temperature drop (except this winter, as the El Niño did push up ocean temperatures…).
Richard Courtney says:
Nonsense. The idea of radiative forcing determining climate has lots of strong empirical evidence. Among that evidence is the following:
(1) Plotting the estimated forcings due to ice albedo and greenhouse gas changes (the latter directly measurable from ice core data and the former determined from sea level data) and of the resulting temperature changes (also from ice core data) show an incredibly good correlation between the radiative forcings and the temperature over several ice age – interglacial cycles. (See Figure 1 here: http://pubs.giss.nasa.gov/docs/2008/2008_Hansen_etal.pdf )
(2) The timing of the glacial – interglacial cycles is strongly correlated with the Milankovitch oscillations which, through well-understood mechanisms provide radiative forcings (that can be well-estimated by considering glacial extent and greenhouse gas concentrations in ice cores). There remain a few mysteries (such as why the periodicity was dominated by 40 K year cycles before about 1 million years ago and then switch to being dominated by 100 K year cycles), but the basic picture is well-accepted and strongly empirically-supported.
(3) It is based on basic physics (such as energy conservation), and our physical models of the climate system, incorporating this physics, clearly show such responsiveness. They do not show any evidence of deterministic chaos causing significant climate change and noone to my knowledge has produced any climate model having anything close to the realism of the GCMs that gives evidence for this hypothesis.
Yes, your hypothesis is complete handwaving. You have only handwaving rather than any quantitative agreement with empirical data and you don’t have any demonstration of any sort of even slightly realistic model of climate incorporating known physical laws that demonstrates that the behavior that you claim occurs does occur. If you want to claim that your hypothesis better explains the data from the ice age – interglacial cycles, show us something better than that demonstrated in Figure 1(c) in Hansen’s 2008 paper linked above. Otherwise, you are just blowing hot air.
Joel Shore (13:49:03) :
(1) Plotting the estimated forcings due to ice albedo and greenhouse gas changes (the latter directly measurable from ice core data and the former determined from sea level data) and of the resulting temperature changes (also from ice core data) show an incredibly good correlation between the radiative forcings and the temperature over several ice age – interglacial cycles. (See Figure 1 here: http://pubs.giss.nasa.gov/docs/2008/2008_Hansen_etal.pdf )
There are a few problems with Hansen’s fig.1
First, temperature/Milankovitch was the initial driver for the increase in CO2. This may have had some feedback on temperature, but there is no proof that this was 40% of the total driving force (according to Hansen) which caused the total glacial-interglacial change. Any other positive temperature feedback (water vapour, a larger estimate of the albedo changes from ice sheets/vegetation or clouds), could do the job as well, with similar or better correlations between calculated and observed temperatures, even with CO2 mainly as result of the changes and a very minor driver.
Second, the overlap between the initial temperature rise and the CO2 feedback during a glacial-interglacial transition is huge, masking the real effect of CO2. But the end of the Eemian shows that temperatures were falling to a new minimum (and ice sheets growing to a new maximum), while CO2 remained high. A subsequent drop of CO2 of 40 ppmv shows no measurable effect on temperature, neither on ice sheet formation. See:
http://www.ferdinand-engelbeen.be/klimaat/eemian.html
Other groups like Von Storch could replicate snapshots of the end of the Eemian at 125,000 BP and 115,000 BP with their model with a low sensitivity of 2 K/2xCO2. Thus the last word about the sensitivity of climate for 2xCO2 is not yet spoken…
Further, none of the current models shows the observed cloud patterns, neither reproduce any ocean heat cycle of any frequency. The effect of aerosols is overestimated (even the sign may be wrong) and hence the effect of GHGs are probably overestimated and solar effects are underestimated. Thus even if different models all show the observed results in temperature response, the underlying assumptions may be largely wrong.
Joel Shore (13.49.03):
Taking your assertions in turn:
“(1) Plotting the estimated forcings due to ice albedo and greenhouse gas changes (the latter directly measurable from ice core data and the former determined from sea level data) and of the resulting temperature changes (also from ice core data) show an incredibly good correlation between the radiative forcings and the temperature over several ice age – interglacial cycles. (See Figure 1 here: http://pubs.giss.nasa.gov/docs/2008/2008_Hansen_etal.pdf )”
The CO2 FOLLOWS the temperature. For your correlation to indicate that the CO2 is forcing the temperature the temperature should follow the CO2, but it does not.
“(2) The timing of the glacial – interglacial cycles is strongly correlated with the Milankovitch oscillations which, through well-understood mechanisms provide radiative forcings (that can be well-estimated by considering glacial extent and greenhouse gas concentrations in ice cores). There remain a few mysteries (such as why the periodicity was dominated by 40 K year cycles before about 1 million years ago and then switch to being dominated by 100 K year cycles), but the basic picture is well-accepted and strongly empirically-supported.”
As you say, “There remain a few mysteries”. Quite!
“(3) It is based on basic physics (such as energy conservation), and our physical models of the climate system, incorporating this physics, clearly show such responsiveness. They do not show any evidence of deterministic chaos causing significant climate change and noone to my knowledge has produced any climate model having anything close to the realism of the GCMs that gives evidence for this hypothesis.”
The models provide evidence of how they were constructed. They cannot show evidence of the real climate and, therefore, their failure to show deterinistic chaos says nothing about real climate behaviour.
I think you need to consider what constitutes “evidence” in a scientific study. Debating points that are intended to fool the ignorant do not ‘cut it’.
Richard
Richard S Courtney says:
Well, obviously something has to cause the CO2 to rise. But, the close correlation between CO2 and temperatures over a long stretch of time strongly suggest a symbiotic relationship. Of course, our actual understanding of the radiative effect of increased CO2…and estimates of the other radiative effects operating during that time…provides additional strong evidence of CO2’s role.
You by contrast have no quantitative empirical evidence whatsoever for your claims.
That is the nature of science. There are always mysteries.
That is just pernicious nonsense. Without models to codify our understanding of the physical world, we would still be in the Dark Ages. It is one of the sad facts that the anti-science movement of which you are a part has made it so that it is now a point of pride if you come up with some hocus-pocus hypothesis and don’t even attempt to put it to the test numerically. The vilification of modeling has created a parallel universe in which it is somehow this is supposed to be more pure and trustworthy to wave your hands around and spout some big words like “deterministic chaos” than to actually put your ideas to the test! How sad!
If you think a correct model would show evidence for your hypothesis, Western Fuels or your own coal industry there in Britain would be willing to throw a little money your way. It would be a real change for them to actually fund some actual scientific exploration rather than just funding anti-science mouthpieces to conduct a disinformation campaign.
ferdiegb says:
This speaks to a fundamental misunderstanding that people seem to have in regards to the estimates of climate sensitivity derived from ice age – interglacial changes. It is not like you can just substitute in some other effect. We know very accurately the radiative effect of the changes in greenhouse gases. We have estimates of the radiative effects of the albedo changes. In order to replace the role of CO2 as an agent, it isn’t just enough to find something to replace its 40% contribution. You have to find a huge climate forcing that is big enough so that it absolutely dwarfs the known radiative forcing due to the changes in CO2.
To put it another way, one can do the entire calculation of climate sensitivity without even making reference to CO2. You just make estimates for the various other radiative forcings involved, leave out CO2 entirely…and then see what you get for the sensitivity in units of K per W/m^2. Then, using the KNOWN radiative forcing of CO2, you can figure out how much CO2 actually contributed under such an assumption. Unless you can find some huge forcing that has heretofore been left out of these calculations, you will find that your ignoring of the CO2 forcing is not self-consistent.
Joel Shore (17:35:45) :
Without models to codify our understanding of the physical world, we would still be in the Dark Ages. […] The vilification of modeling has created a parallel universe in which it is somehow supposed to be more pure and trustworthy to wave your hands around and spout some big words like “deterministic chaos” than to actually put your ideas to the test! How sad!
How right you are, and how sad it is.
If you can’t put numbers to it, you don’t have have anything.
NickB Writes: “Sorry to step in but I also made that assertion. Is it not true that in a situation where everything other than temperature and water vapor are constant, a given volume of air with more water vapor in it will exhibit lower temperatures than a given volume of air with less water vapor? This necessarily implies that in a situation where atmospheric energy content is static, higher atmospheric water content means lower temperatures. If that is incorrect, please explain why I am looking at it wrong.”
NickB: No. Sorry, this is wrong. Comparing samples of dry and moist air can be done by computing the virtual temperature. The difference is not large, but if you take a sample of dry and moist air, say a mole of each, one with zero relative humidity, temperature of 80 DegF, and another, same number of moles (1), starting with 80DegF, but adding water vapor until an equivalent amount of dry air is displaced to mantain a mole of gas, and until, lets say we get a mixing ratio of 14.8 g/kg, ( using a psychrometer would produce a dewpoint of 70DegF and realtive humidity of 66% ) the temperature of that mole of gas would be equal to 80.7 DegF, or .7DegF WARMER than the dry air.
Now, there are external influences that can change the temperature of the air. And near the surface, if evaporation is present, that is cooling the surface by extracting heat ( 597 cal/g) to vaporize liquid water. Radiational cooling of the moist air in its upper boundary will also contribute to cooling, but you cannot assume at all, that just because an airmass is water vapor rich, that its temperature is automatically cooler than dry air. The virtual temperature comparison shows that this is not true.