"Dangerous Anthropogenic Interference"
Posted by Stuart Staniford on February 2, 2006 - 9:40pm
Topic: Environment/Sustainability
Tags: climate change, global warming, hubbert peak, peak oil [list all tags]

Global average temperature 1880-2005, five year moving average, and North Atlantic sea temperatures (on the same scale) and storms in the background. Data: UEA CRU, and LA Times for background figure.
My understanding is that most of the impact of global warming is in the relatively far future, decades away, in the latter half of the 21st century. Some small effects are being noticed now, changes in growing seasons, changes in animal and plant distributions, but nothing major.There is currently a debate in the scientific literature about when exactly climate change will constitute "dangerous anthropogenic interference" in the climate. The phrase comes from the United Nations Framework Convention on Climate Change, which aimed
to achieve stabilization of greenhouse gas concentrations in the atmosphere at a low enough level to prevent dangerous anthropogenic interference with the climate system.The British Government recently released a report on Avoiding Dangerous Climate Change, which argued that:
A number of critical temperature levels and rates of change relative to pre-industrial times were noted. These vary for the globe, specific regions and sensitive ecosystems. For example, a regional increase above present levels of 2.7 oC may be a threshold that triggers melting of the Greenland ice-cap, while an increase in global temperatures of about 1 oC is likely to lead to extensive coral bleaching. In general, surveys of the literature suggest increasing damage if the globe warms about 1 to 3 oC above current levels. Serious risk of large scale, irreversible system disruption, such as reversal of the land carbon sink and possible destabilisation of the Antarctic ice sheets is more likely above 3 oC. Such levels are well within the range of climate change projections for the century. While a clear temperature threshold has not been identified for shutdown of the Atlantic thermohaline circulation, studies were presented suggesting that a shutdown becomes more likely with increasing temperature.and
There is a range of emission pathways that could be followed theoretically to avoid different temperature levels. Probability analysis provides a quantitative estimate of the risk that a particular temperature level would not be exceeded. For example, limiting warming to 2 oC above pre-industrial levels with a relatively high certainty requires the equivalent concentration of CO2 to stay below 400 ppm. Conversely, if concentrations were to rise to 550ppm CO2 equivalent, then it is unlikely that the global mean temperature increase would stay below 2oC. Limiting climate change to 2oC above pre-industrial levels implies limiting the atmospheric concentration of all greenhouse gases. Based on new insights into the uncertainty ranges of climate sensitivity, a stabilisation at 450 ppmv CO2 equivalent would imply a medium likelihood (~50%) of staying below 2oC warming. In many cases this would mean that concentrations would peak before stabilising, though whether this could be achieved practically was not considered.I think this is definite progress is recognizing the seriousness of the situation, but I do not think we are there yet.
I'm going to argue that the changes due to global warming are full-on, old-testament, wrath-of-God stuff, they are starting already, and they will get much worse in our lifetimes. This is not a problem for our grandchildren, it's very much a problem for us.
There are a number of things to pick, but I'm going to focus on two: hurricanes (this post), and sea-level (next post).
Hurricanes
Here's my argument.1) Atlantic Sea Surface Temperatures follow global temperatures. They aren't anything special - they pretty much follow the global temperature trend. Remember that nice picture we discussed from the LA Times? The one that showed Atlantic sea temperature and storm count? Here it is again as the background for a plot of global surface temperatures, together with the five year moving average of global temperature. The global temperature graph is scaled to match that of the background Sea Surface Temperatures (SSTs), which are the orange curve.

Global average temperature 1880-2005, five year moving average, and North Atlantic sea temperatures (on the same scale) and storms in the background. Data: UEA CRU, and LA Times for background figure.
As you can see, the Atlantic SSTs pretty much follow the global temperatures. We don't need a special Atlantic oscillation to explain them. They have a slight wrinkle or two of their own going on now and then, but the big movements of the two curves all occur together. Clearly, whatever explains the one curve is going to explain the other to a pretty decent approximation. When you know how one curve will evolve in the future, you'd probably feel pretty safe assuming the other would continue to follow it. Certainly, if the solvency of your investments depended on the assumption that those two curves were going to break lockstep, you would rightly be very worried.
2) Hurricane damage is controlled by SSTs. Here's Fig 1 of K. Emanuel's Nature paper last year. It shows the total power dissipated by hurricanes and the sea surface temperature. The total power dissipated -- the total amount of energy that the hurricanes take out of the ocean each year and transform into howling gales -- is a function of wind speeds (cubed), the size of the storms, and the length of the hurricane tracks.

Estimate of total amount of power dissipated (PDI) by Atlantic hurricanes each year, together with average SSTs in hurricane forming region (offset by a vertical constant). Source: This is Fig 1. of Emanuel, 2005.
The correlation coefficient between the two lines is 69% (ie the r2 for those statistically inclined). This implies that most of the variation in hurricane power dissipated is explained by sea surface temperatures - they are the dominant effect. The economic damage caused by hurricanes is likely to be proportional to the total power dissipated times the value of the developments that lie within reach of the storms.
3) Global temperatures are explained by known forcings. The current models, with recent understanding of forcings, while there are residual uncertainties, are well able to explain the temperature history of the planet in the twentieth century. We discussed this at length the other day. The fit by models such as GISS GCM Model E are excellent, but even my simple one dimensional model was able to produce most of the important features of the curve given the right forcing input.
4) Forcings are climbing fast. Under any reasonable emissions scenario, the climate forcing is going to climb further in the future. Even if we could hold emissions constant, which doesn't seem very plausible at the moment, the forcing would continue to climb as we add CO2 to the atmosphere faster than the sinks remove it. Here's the historical climate forcings, together with projected forcings in the case of linearly extrapolated climbing carbon dioxide emissions, exponentially extrapolated emissions, and emissions constant at the 2004 level. This assumes all other forcings stay flat in total (ie aerosols don't get cleaned up, or made worse, and methane + CFCs continue to stabilize. You can imagine adding volcanoes to taste - but it would take biblical scales of volcano interruptions to avoid biblical hurricanes.

Historical radiative forcing estimates plus projected forcings due to various carbon emissions scenarios. All other forcings held constant. Historical estimates from Fig 1 of Hansen et al, 2005. Uses Table 1 of Hansen and Sato, 2000 for conversion formulae from CO2 mixing ratios to radiative forcings for projections.
5) The temperature rise is just beginning. Under any likely emissions scenario, absent heroic efforts, temperatures will rise much more in the next few decades than they already have. The core problem is that there's so much warming already in the pipeline. The earth is now a little less than one watt per meter squared out of radiative equilibrium - thus we are gaining that much heat all the time. Thus, even if we stopped CO2 emissions altogether tomorrow, temperatures would still rise by around 0.5oC in addition to the rise to date. Given further emissions, the temperature rise is likely to be significantly greater than the rise so far.

Global average temperature 1880-2005, together with one dimensional model fit (as described in the text) extrapolated to 2050 for the case of linear, constant, and exponential emissions (all other forcings held constant after 2003). Data: UEA CRU.
Remember that the temperature increases projected in this figure are on the lower end of the range for the IPCC 2001 report - these are not outside of mainstream climatological expectation at all.
6) Conclusion. Unless something radical happens to one of the trends in points 1)-5), hurricane intensity is likely to get dramatically worse with each passing decade from here on.
Readers may we wondering about NOAA's insistence that global warming has nothing to do with hurricanes. I've read Goldenberg et al, 2001, and Bell et al, 2004, and I don't find it very credible. Firstly, they completely are in accord that SSTs are a major driver of hurricane activity. However, they had noticed empirically that there's an apparent oscillation in the SSTs, and postulated that there must be some underlying mechanism for this oscillation which would continue to operate in future. As far as I can see, there's no real physics behind this supposed oscillation at the present - it's just a name for the fact that the historical record goes down, up, down, up. They viewed the history of the temperature fluctuations as inconsistent with a global warming explanation which they thought should be a gradual trend. However, as we have seen, once the full history of forcings is adequately understood, this is not the case.
As Hansen et al put it:
In summary, the warming in the model in recent decades is due to the assumed forcings, and we have presented evidence in this paper that the magnitude of the model’s response to forcings is realistic on time scales from single volcanic eruptions to mutidecadal GHG increases. The period 1970-2005 under discussion with regard to hurricanes is the time when forcings are known most accurately, and during that period anthropogenic GHGs were the dominant forcing. Although unforced fluctuations undoubtedly contribute to Atlantic Ocean temperature change, the expected GHG warming is comparable in magnitude to observed warming and is likely a significant contributor.In my view there's an excess of scientific caution in those words, given the strength of the evidence. Scientists are trained to be careful and cautious in their statements, but given what's at stake here, I think there's a danger of lots of politely caveated "probably"s and "likely a significant"s falling on deaf ears. After recent news, one can't help wondering if the NASA PR people had some input on the wording.We conclude that the definitive assertion of Gray [2005] and Mayfield [2005], that human-made GHGs play no role in the Atlantic Ocean temperature changes that they assume to drive hurricane intensification, is untenable. Specifically, the assertions that (1) hurricane intensification of the past decade is due to changes in SSTs in the Atlantic Ocean, and (2) global warming cannot have had a significant role in the hurricane intensification of the past decade, are mutually inconsistent. On the contrary, although natural cycles play a role in changing Atlantic SSTs, our model results indicate that, to the degree that hurricane intensification of the past decade is a product of increasing SSTs in Ocean and the Gulf of Mexico, human-made GHGs probably are a substantial contributor.
I think Hansen et al's pictures speak much more forcefully than their words.
Temperature anomaly in sea surface temperatures from 1995-2005 relative to 1970-1994. On the left is actual observations, and on the right is output of GISS Model E. From Fig 22 of Hansen et al, 2005.
Update [2006-2-2 23:26:35 by Stuart Staniford]: Here's the temperature anomaly scale:
You can see the model generally gets it right, but it misses how much the North Atlantic and parts of the Arctic really warmed (indeed it underestimates the global temperature rise over that period by around 15%). Roughly speaking, that's the degree of change that bought us the hurricane intensity of the last few years. Now look at what the model says about the extra anomaly from 2045-2055 over 2000-2010. Ie, this is how much extra SSTs we would get over the era that bought us Bonnie, Charley, Frances, Ivan, Dennis, Katrina, and Rita (not to mention Epsilon).
Temperature anomaly in sea surface temperatures from 2045-2055 relative to 2000-2010 from GISS Model E. On the left is the IPCC scenario A2, which lies between our linear and exponential extrapolations, and on the right is an alternative emissions scenario designed to minimize the risk of ice sheet loss. From Fig 22 of Hansen et al, 2005.
The world is already tracking above the alternative scenario due to higher than prescribed CO2 outputs. But even in that case, we experience more increase in SSTs than it took to get us the hurricanes of the last few years. The A2 scenario is unimaginable.
Just a quick reminder of what this all means in human terms. This used to be people's houses. This is in New Orleans, but a lot of the Mississippi coastline looks like this too:

Lower 9th ward of New Orleans, December 2005. Picture credit: Zoe Hare.
The only way I can read the evidence right now is that this kind of thing is going to be happening year after year after year, getting worse with each decade. There'll be fluctuations year-to-year, but it's very hard to see how this can get better.
Oh, and it's not very good for the oil supply either:

Thunder Horse Platform. Picture credit: MMS.







The best bet from what I can see is to move to a place that gets wetter in the IPCC predictions, isn't near huricanes, is far above sea level, and have enough land to grow your own heat and food. Good luck.
Don't move here though, we want to stay under the radar:-)
Didn't you get the memo? We Huns launched our very successful invasion well over a decade ago. The natives have already learned to make nice with us. ;)
If I were living in Oregon I would grab my trusty United Farm Catalogue and head north.
Slight quibble - the global temperature anomaly maps would be better if you gave us the temperature scale, and on my combination of wet string and MS IE6 they came out on top of the caption. Even better than the color scale (for those of a numerical bent) would be a summary of (say) max, median, min and quartile delta-T for each scenario - if you've got that handy that is.
My non-meteorologically trained gut feel for this sort of thing is that hurricane intensity should be a function of (lateral? vertical) spatial temperature gradient in the hurricane belt rather than absolute temperature. Are GCMs sufficiently high resolution to allow extraction of this sort of quantity on the relevant scale? And what is the relationship between temperature and the different phases of hurricane life cycle? - presumably some sort of event analogous to crystal seeding (formation of a stable storm cell) followed by growth - and IIRC it was the intensity of maximum storms that was increasing, rather than their frequency (but remember Epsilon!). How does this play out in a hotter world, exactly?
PuD
I'm a farmer and native plant seed collector in Western Washington. Lately I have been discussing the topic of local climate change with a fellow seed collector who lives about 200 miles away on on the east slope of the cascades. We both depend on temperature driven ecological events for timing of seed ripening of common native trees and shrubs.
Over the last 10 years I have noticed that the time of ripening for one species, vine maple has shifted from early to mid September to late August. We have also noted changes in other species.
We have begun to look at maximum/minimum temperature records from a single weather station in each of these two places and only during times that directly effect seed ripening. This is during 6 week periods mid July thru August and for general interest January to mid February.
Our initial look at this data shows dramatic changes in temperatures (5 to 30 degrees, winter and summer) over the 52 year period of record keeping. When we finish our analysis I will be happy to forward this to you for comment.
By cherry picking data, I think will help us to understand direct effects on plant communities, ie summer pollination and ripening and winter seed conditioning in the soil to satisfy seed germination.
Rich Haard
Changes in flowering times are being tracked across Canada through a volunteer network.
I'm not talking about occasional years, I'm talking about the norm being shifted, and very noticeably. I have changed my vegetable growing to suit the new norm, as long as I take precautions against late frosts I can be eating some vegetables a month earlier than I could 20 years ago.
There have been detailed studies in the nesting behavior of birds across the whole UK, flowering of wild flowers, too. These unequivocally show 2 to 4 week advances on 20 to 30 years ago for most species. This weekend was the first warmish one this year in my area, the blackbirds and wood pigeons are mating, the robins are paired (and probably mated but too discrete to do in public, LOL). This is a month early. I, and they, were a bit too busy to talk about it today, but we will soon ;)
I know that during the last several decades there has been mountains of extremely accurate geophysical data, and I have a high level of confidence in these global average numbers for say the period from 1960 to the present.
But what about the early time frame of your graphs, say 1880 to 1930? Surely, the number of weather readings and sea temperature data points were but a small fraction of what they are today. Would a weather station in southern Argentina circa 1887 produce temperature data any more accurate than almost the entire range of your graph?
Ditto for early sea temperature data but even more so. Someone throws some kind of a thermometer off the back of a ship, hauls it in, reads a line that might be 40 or 41 degrees and records it. That one degree is already half the range of your graph. Then one must ask: how is this averaging done for the early years? If someone has a dozen or so data points taken over a period of months in a remote area of ocean extending some hundreds of thousands of square miles, then how reliable is that 'average' number and what does it really mean?
I don't think this is nit picking, because we are trying to draw inferences by comparing a modern high-tech data set with an old data set that is probably orders of magnitude less reliable. None of this would matter if the temperature variations were large, but they are not; and for the early years the variations arrived at are probably on the same order as the overall accuracy inherent in the temperature measuring and averaging methodology.
Please understand that I am not posing these questions to refute the notion of global warming or your particular analysis: it's just that I have been bothered for some time by this problem of comparing modern data with data that is over a century old. True, it may be the only data available, but one needs to recognize its limitations. If data for the period 1995 to 2005 says that the North Atlantic sea surface temperature rose 1.2 degrees, I believe it. But if the data for the period 1800 to 1990 says it dropped 1.2 degrees, I am inclined to not put much stock in it.
Well, if it is indeed the case that for the years before WW II O18/O16 ratios are being used as a surrogate for global temperature rather than actual meteorological measurements, then the early global temperature 'data' is even more dodgy than I thought. Certainly such a method is not going to give an accuracy on the order of 1 degee C, which is about half the total range of the graph Stuart has used in this post.
What I still don't have any feel for is exactly how a global average temperature is arrived at for a given year, particularly as we go further back in time. It must be very difficult to come up with a reliable average because some parts of the world are overflowing with temperature data while other parts have a much more limited data set. (e.g., how much temperature data for say the year 1947 do you think exists for a 1,000 km x 1,000 km patch in a remote part of the southern Indian Ocean or the northern Pacific?)
Can anybody out there explain to me how these yearly average global temperatures are actually arrived at?
It has been used to get this graph of historical global temperatures from the Antarctic ice sheet:

My guess is that the more recent the year is the more accurate the method would be, as it will become easier to gather more samples from all around the world, that will eliminate potential deviations. In defense of the method is that when the results of the samples from the Antarctic ice sheet were compared to those from Greenland ice sheet 10 000 miles away from it, they practically matched.
P.S. Question to the blog editors: why is it not possible to edit a post? For me it is a bit frustrating, because I often see syntax errors I've made (English is not my native) that I can not correct afterwards.
Now they're not going to get much more of their energy from oil or NG given Peak Oil/gas. We're probably looking at most of the addition being almost pure carbon coal.
This is not just exponential growth. This is more and faster exponentials piled on top of the existing exponential which is already causing this much disturbance.
Is there any good reason we should not be scared shitless at this point?
Firstly, carbon dioxide emission are not
increasing at a linear rate. Latest data from
Hawaii indicates that the 1ppm, 1.5ppm, 2ppm
pattern of accelerating emissions increased
spectacularly in 2005: a provisional figure of
2.2ppm in 10 months implies around 2.5ppm for
the year. So not only are emissions accelerating,
but the rate of acceleration is increasing.
Taking the current CO2 level as 382ppm, we have
only 18ppm to go before reaching the IPCC 'safe'
level of 400ppm and at the increasing rate we
are witnessing, that will take just 6 or 7 years.
Secondly, it is worth remebering that the relationship
between saturated vapour pressure of water and
temperature is not linear either, though the
slope at low temperature is moderate.
However, when we are discussing sea surface
temperatures, the effect is profound indeed.
Thus, at temperatures below 28oC hurricanes are
unlikely to form; the rate of evaporation of
water molecules is too slow. Above that
threshold, evaporation increases, [upward]
thermal effects take over and hurricane
formation seems to become an inevitability.
We should note that SSTs in the GOM /Caribbean
were in the range 28-31oC last August-September,
Thirdly, climate-related damage is not
resticted to hurricanes. The freqency of
tornadoes has increased, as has the length of
the tornado season. There is the very real
prospect of there being no season as such, with
tornadoes occuring at any time of the year.
In the worst case scenario, most of the region
from Texas to Florida will become largely
uninhabitable, except for those who are
prepared to live in concrete bunkers.
Finally, although the focus has been on the GOM,
these effects are occuring all over the planet:
thus Japan was hit by 14 typhoons in a row in 2004
and fared little better in 2005. Mumbai was
inundated with 936 mm of rain in one day,
whilst in other parts of India drought
prevailed.
I suggest that anyone who thinks that climate
change is a theoretical possibility that may
start to take effect some time in the distant
future had better start using the Internet and
find out what is really happening in the world.
Alternatively, a trip to Alaska or Northern
Canada would provide an eyewitness account of the
catastrophic meltdown that is occuring right now.
conclusions from one year's CO2 data. But when
that data is a continuation of a trend (ever
increasing quantities of CO2 detected in the
air) and it matches empirical evidence of
greater use of fossil fuels, to pretend it is
not significant on statistical probability
grounds is to be be foolhardy.
I am yet to see any proper discussion of the
Precautionary Principle in relation to climate
change. There seems to be the perception that
'things won't be too bad' and 'amelioration is
still possible', yet every study on cliamte
chmage reveals that it is proceeding faster
than previously thought.
Let's recall the words of Sir David King, 2 years
ago: I am paraphrasing, but essentially he said:
'by the end of this century Anarctica will
be the only habitable land (literally) unless
we immediately implement policies to bring CO2
emissions under control'.
Well in the past two years virtually nothing has been done to limit
CO2 emissions amd most nations emissions are up
substantially -even signatories to the Kyoto
Protocol, even nations that have a 'clean green
image like New Zealand (emissions up around 20%
in the past three years, and we could discuss at
length what a sham 'clean green NZ' really is,
but not now).
Whilst we appreciate the work you have done in
tabulating and graphing information, I think
people should not get too carried away
with TOD graphs alone, but should also listen
carefully to what other [expert] people have
already said on the matter, especially the
Europeans. The Hadley Centre (UK) probably
should have the last word on global warming at
this point of time.
But just in case TOD readers are unaware, many
Europeans are openly saying that we have passed
the point of no return on global warming, as
reported by 'The Independent' UK several weeks
ago and that substantial, if not abrupt,
climate change is inevitable within decades.
I guess that if Sir David King was right, then it's too late and we're just going to have to deal with it. I just can't imagine China and India condemning themselves to everlasting poverty even as Sir David and academics like him expend jet fuel without limit in pursuit of scary speechmongering, or is that speechifying fearmongering.
http://cdiac.esd.ornl.gov/trends/co2/graphics/mlo145e_thrudc04.pdf
Yes it's the Mauna Loa chart.
Well, if you smooth out the annual variation with a 12 month moving average, and then take the 12 month rate of change, it varies quite a bit from year to year, but overall there is a rising trend in the rate of increase. At this stage I couldn't conclude the CO2 curve is exponential, but it's rising faster than linear.
A parabola fits the 12 month moving average data from 1958 - 2004 very well. The coefficient of determination is r² = 0.9987 for a parabola vs r² = 0.9886 for a linear trend.
If I do a least squares regr