Prometheus

The Helpful Undergraduate: Another Response to James Annan

In his latest essay on my stupidity, climate modeler James Annan made the helpful suggestion that I consult a "a numerate undergraduate to explain it to [me]." So I looked outside my office, where things are quiet out on the quad this time of year, but as luck would have it, I did find a young lady named Megan, who just happened to be majoring in mathematics who agreed to help me overcome my considerable ignorance.

The Politicization of Climate Science

Here I'd like to explain why one group of people, which we might call politically active climate scientists and their allies, seek to shut down a useful discussion with intimidation, bluster, and name-calling. It is, as you might expect, a function of the destructive politics of science in the global warming debate.

Comparing Candidate Policies on Science and Technology

Over the next week I intend to make some posts about the science and technology policies of the three remaining major party candidates. With an eye toward generating discussion, I want to take a moment and note links to the candidates' policies on science and technology. I am focusing on the candidates' own statements or position papers from their websites. There are plenty of comparison websites, and they have their own perspective on the issues (and what 'counts' as science and technology issues).

This is intended as only a starting point. If I'm missing some resource that should be in the list below, please let us know in the comments.

Links after the jump, but two points worth noting. It's rare to see all of a candidate's positions related to science and technology all in one place. It's even more rare to see them categorized as such. You're more likely to see references to innovation and competitiveness or more issue specific areas (such as climate change and economic competitiveness).

Additionally, many campaign speeches and press releases are ill-described in search results or lists of media on these websites. I may very well have missed a relevant speech because the tagline was "Senator X Remarks at Iowa Jefferson-Jackson/Lincoln Day Dinner" and not "Senator X Remarks on Federal Research and Development Budgets"

Comparing Distrubutions of Observations and Predictions: A Response to James Annan

James Annan, a climate modeler, has written a post at his blog trying to explain why it is inconceivable that recent observations of global average temperature trends can be considered to be inconsistent with predictions from the models of the IPCC. James has an increasing snarky, angry tone to his comments which I will ignore in favor of the math (and I'd ask those offering comments on our blog to also be respectful, even if that respect is not returned), and in this post I will explain that even using his approach, there remains a quantitative justification for arguing that recent trends are inconsistent with IPCC projections.

Lucia Liljegren on Real Climate's Approach to Falsification of IPCC Predictions

Lucia Liljegren has wonderfully clear post up which explains issues of consistency and inconsistency between models and observations using a simple analogy based on predicting the heights of Swedes.

She writes;

I think a simple example using heights is helps me explain the answer to these questions:

1. Is the mean trend in surface temperature over time predicted by the IPCC consistent with the temperature trends we have been experiencing? (That is: is 2C/century consistent with the trend we’ve seen? )
2. Is the lowest uncertainty bound the IPCC shows the public consistent with the trend in GMST (global mean surface temperature) we have seen since 2001?

I think these questions are important to the public and policy makers. They are the questions people at many climate blogs are asking and they are the questions many voters and likely policy makers would like answered.

I think the answer to both questions is "No, the IPCC predictions are inconsistent with recent data."

Please go to her site and read the entire post.

She concludes her discussion as follows:

The IPCC projections remain falsified. Comparison to data suggest they are biased. The statistical tests accounts for the actual weather noise in data on earth.

The argument that this falsification is somehow inapplicable because the earth data falls inside the full range of possibilities for models is flawed. We know why the full range of climate models is huge: It contains a large amount of "climate model noise" due to models that are individually biased relative to the system of interest: the earth.

It will continue to admit what I have always admitted: When applying hypothesis tests to a confidence limit of 5%, one does expect to be wrong 5% of the time. It is entirely possible that the current falsification fall in the category of 5% incorrect falsifications. If this is so, the “falsified” diagnosis will reverse, and not we won’t see another one anytime soon.

However, for now, the IPCC projections remain falsified, and will do so until the temperatures pick up. Given the current statistical state ( a period when large “type 2″ error is expected) it is quite likely we will soon see “fail to falsify” even if the current falsification is a true one. But if the falsification is a “true” falsification, as is most likely, we will see “falsifications” resume. In that case, the falsification will ultimately stick.

For now, all we can do is watch the temperature trends of the real earth.

NFIP revamp moving through the grinder

The literature on the myriad problems with the National Flood Insurance Program (NFIP) is long and deep. One of the main problems is that the program is not insulated from politics and thus is prevented from acting like a real market by setting actuarially-sound rates on its customers. Other problems exist but the premium-setting problem is the most significant and no matter how Congress tinkers with the NFIP, if it doesn't address the premium issue then the NFIP will continue to be a taxpayer money-sucking problem child.

A NFIP reauthorization has been moving through Congress and yesterday the Senate passed its version. Predictably they moved the current $18+ billion NFIP deficit to general revenues (i.e. the U.S. taxpayer), a move that has a long history in Congress. But some good was included in the bill and the House's version does not have the $18+ billion shift. The Senate was able to pass an annual premium increase cap from 10% to 15%, which is more significant than it probably sounds. They also authorized $2B for updated floodplain mapping, which is also much more significant than it probably sounds, as currently premiums are not always based on physical reality. (We'll see how much actually gets appropriated out of that $2B.)

(And hey all, sorry for the non-controversial post.)

How to Make Two Decades of Cooling Consistent with Warming

The folks at Real Climate have produced a very interesting analysis that provides some useful information for the task of framing a falsification exercise on IPCC predictions of global surface temperature changes. The exercise also provides some insight into how this branch of the climate science community defines the concept of consistency between models and observations, and why it is that every observation seems to be, in their eyes, "consistent with" model predictions. This post explains why Real Climate is wrong in their conclusions on falsification and the why it is that two decades of cooling can be defined as "consistent with" predictions of warming.

Inconsistent With? One Answer

UPDATE: Real Climate has already dismissed the paper linked below as a failed effort.

Climate Audit provides a pointer to this paper (PDF) by Koutsoyiannis et al. which has the following abstract:

As falsifiability is an essential element of science (Karl Popper), many have disputed the scientific basis of climatic predictions on the grounds that they are not falsifiable or verifiable at present. This critique arises from the argument that we need to wait several decades before we may know how reliable the predictions will be. However, elements of falsifiability already exist, given that many of the climatic model outputs contain time series for past periods. In particular, the models of the IPCC Third Assessment Report have projected future climate starting from 1990; thus, there is an 18‐year period for which comparison of model outputs and reality is possible. In practice, the climatic model outputs are downscaled to finer spatial scales, and conclusions are drawn for the evolution of regional climates and hydrological regimes; thus, it is essential to make such comparisons on regional scales and point basis rather than on global or hemispheric scales. In this study, we have retrieved temperature and precipitation records, at least 100‐year long, from a number of stations worldwide. We have also retrieved a number of climatic model outputs, extracted the time series for the grid points closest to each examined station, and produced a time series for the station location based on best linear estimation. Finally, to assess the reliability of model predictions, we have compared the historical with the model time series using several statistical indicators including long‐term variability, from monthly to overyear (climatic) time scales. Based on these analyses, we discuss the usefulness of climatic model future projections (with emphasis on precipitation) from a hydrological perspective, in relationship to a long‐term uncertainty framework.

The paper provides the following conclusions:

*All examined long records demonstrate large overyear variability (long‐term fluctuations) with no systematic signatures across the different locations/climates.

*GCMs generally reproduce the broad climatic behaviours at different geographical locations and the sequence of wet/dry or warm/cold periods on a mean monthly scale.

*However, model outputs at annual and climatic (30‐year) scales are irrelevant with reality; also, they do not reproduce the natural overyear fluctuation and, generally, underestimate the variance and the Hurst coefficient of the observed series; none of the models proves to be systematically better than the others.

*The huge negative values of coefficients of efficiency at those scales show that model predictions are much poorer that an elementary prediction based on the time average.

*This makes future climate projections not credible.

*The GCM outputs of AR4, as compared to those of TAR, are a regression in terms of the elements of falsifiability they provide, because most of the AR4 scenarios refer only to the future, whereas TAR scenarios also included historical periods.

NCAR Downsizes Social Science and Policy Research

I spent 8 years as a staff scientist at the National Center for Atmospheric Research in their social science group, where I saw little support for this important area of research. So the news that NCAR has decided to downgrade and scatter its meager social science resources comes as no surprise. Though at a time that the world more than ever needs such research, the decision is clearly short sighted. Because NCAR is base-funded by the National Science Foundation, it certainly would be appropriate for NSF to investigate the decision to diminish the role of social science and policy research at NCAR, and why it has been deemphasized at a time when policy makers more than ever need such knowledge.

Here is how NCAR announced the news in an email last week, which one insider characterized to me as being "blindsided":

To All Staff,

NCAR is facing significant financial challenges. The NSF base budget has risen at a rate less than the cost of business in each of the past six years. Increasingly, this has put major stresses on the NCAR budget. In response to this prolonged budget stress, NCAR and UCAR management have been taking measures to allocate budgets based on NCAR strategic priorities and NSF mandates. We have also had to reduce direct and indirect costs. This included the reduction in staff of 36 NCAR positions over the past four years.

Even with these adjustments, we continue to face significant budget pressures. In response to immediate FY08 budget shortfalls and the outlook for FY09, additional actions are required to address the problem. One important move that we will be taking this week is to dissolve the Societal-Environmental Research and Education Laboratory (SERE) and administratively move the Advanced Study Program (ASP), Institute for the Study of Society and the Environment (ISSE), an Center for Capacity Building (CCB) into other parts of NCAR. This will save immediate and recurring direct and indirect costs, capitalize on economies of scale in other labs, and enhance synergy and collaboration through new partnerships. Unfortunately, this will result in reductions in staff in the SERE Director's Office.

Next steps include:

* ISSE will receive administrative and management support through the Research Applications Laboratory (RAL).
* ASP will become a stand-alone Program that reports to the NCAR Director's Office.
* CCB will also become a stand-alone Program that reports to the NCAR Director's Office

We want to emphasize that these changes in no way diminish UCAR's and NCAR's commitment to ASP, ISSE, and CCB. Despite the current budget challenges, we remain dedicated to our vision of developing leadership in the social science components of climate and weather research, creating societal and policy-relevant research and information products, and conducting research on human-environment interactions.

Rick Anthes and Tim Killeen

Real Climate's Bold Bet

The Real Climate guys have offered odds on future temperature changes, which is great because it gives us a sense of their confidence in predictions of future global average temperatures. Unfortunately, RCs foray into laying odds is not as useful as it might be.

The motivation for this bet is the recent Keenlyside et al. paper that has caused a set of mixed reactions among the commenters in the blogosphere. Some commenters here have stridently argued that the predictions in the Keelyside et al. paper are perfectly consistent with predictions of climate models in the IPCC. However, when one such commenter here was asked to show a single IPCC climate model run showing no temperature increase for the 2 decades following the late 1990s he submitted an irrelevant link and disappeared. Others have argued that the Keenlyside et al. projections (and this includes Keenlyside) are inconsistent with the IPCC predictions. Real Climate apparently falls into this latter camp.

The Real Climate Bet (and there is also one for a later period) is that the period 1994-2004 will have a higher average temperature than the period 2000-2010. Since the periods have in common 2000-2004, we can throw those out as irrelevant. Thus, the bet is really about whether the period 1994-1998 will be warmer than the period 2005-2010. And since we know the temperatures for 2005 to present, the bet is really about what will happen in 2009 and 2010. (Using UKMET temps here.)

It is strange to see the Real Climate guys wagering on 2-year climate trends when they already taught us a lesson that 8 years is far to short for trends to be meaningful. But perhaps there is some other reason why they offer this bet. That reason is that they are playing with a stacked deck, which is what you do when looking for suckers. The following figure shows why.

For the Real Climate guys to lose the bet global average temperatures for 2009 and 2010 would have to fall by about 0.30 from the period 2005-present (and I've assumed Jan-Mar as the 2008 value, 2008 obviously could wind up higher or lower). Real Climate has boldly offered 50-50 odds that this will happen. This is a bit like giving 50-50 odds that Wigan will come back from a 3-0 halftime deficit to Manchester United. Who would take that bet?

Another interpretation of the odds provided by RC is that they actually believe that there is a 50% chance that global temperatures will decrease by more than 0.30 over the next few years. Since I don't think they actually believe that, it is safe to conclude that they've offered a suckers bet. Too bad. When Real Climate wants to offer a 50-50 bet in which the bettor gets to pick which side to take in the bet (i.e., the definition of 50-50) then we'll know that they are serious.

Consistent With, Again

On NPR's Fresh Air earlier this week, Al Gore suggests that Typhoon Nargis, which may have killed 100,000 people in Myanmar, is linked to greenhouse gas emissions, or does he? He said "we’re seeing consequences that scientists have long predicted might be associated with continued global warming."

What could he have meant? If you ask me, I'd say that the "consistent with" chronicles continue . . .

PS. Those wanting to do something positive in the face of this tragedy might visit this site.

Teats on a Bull

Here is a very thoughtful comment sent in by email on the ""consistent with chronicles". I haven't identified the author, since he didn't ask me to post it. But it is worth a read about how climate science is received by one rancher in West Tennessee. I appreciate the feedback.

Iain Murray on Climate Policy

Over at his blog Iain Murray, who is with the Competitive Enterprise Institute, has a thoughtful response to my initial post on elements of any successful approach to climate change. I won't try to summarize Iain's lengthy post, so go there read it and come back. (Thanks to BP for the pointer.)

Here are some very quick responses of my own.

1. I appreciate Iain's efforts to "propose an alternative framework that may be more appealing to conservative policy-makers." In the U.S there is a wide gap between Democrats and Republicans on many aspects of climate policy. If this gap is to close in the form of shared agreement on action, it will result from having an open discussion of policies resulting in compromises, and not by the finger-pointing, name calling, and derision that so often accompanies political debates on climate change. As Walter Lippmann once wrote, the goal of politics is not to get people to think alike, but to get people who think differently to act alike.

2. On adaptation Iain and I see to agree more than disagree. I recognize that the concept of "sustainable development" carries with it much symbolic baggage and people read into the concept an awful lot. I don't see a Malthusian perspective in the concept, far from it. I actually see that technological progress that eliminates limits and opens possibilities as key to sustainable development. There is much more to say, but on issues of technology and trade, i see no real significant disagreements here.

3. Iain is correct in pointing out the real costs associated with making carbon-based energy more expensive. This is the main reason that I see that its political prospects are seriously limited. But even so, Iain probably recognizes that what he calls "costs" are viewed by many people as "benefits". That is, many people would like energy to be more pricier, even if it results in costs for some other people . For some, they focus on the non-market costs of carbon-based energy and thus evaluate the costs/benefits with some implicit valuation of the intangibles, but others simply prefer the outcomes associated with pricier energy. I have no expectation that people with vastly different values will come to agreement on costs and benefits associated with pricing carbon, hence, I see its prospects as limited in any case.

4. Iain likes the idea of making carbon-free energy "more affordable" but has some different recommendations than I do on how it might be done. Great. I don't think that anyone has a magic bullet solution, so agreement on the goal ought to be a enormous first step in its achievement. This is one reason why I listed a laundry list of options. I would hope that Iain would agree that the world really hasn't set forth in this direction in any real seriousness, at least not as compared to the intensity of action focused on pricing carbon. But we seem to agree on the goals here.

Iain has some more specific actions described at his blog that are worth a read. If anyone else wants to share their reactions to this discussion they are welcome to do so in the comments or as a guest blog.

Elements of Any Successful Approach to Climate Change

This post summarizes, in capsule form, what I believe to be the necessary elements of any successful suite of policies focused on climate mitigation and adaptation. This post is short, and necessarily incomplete with insufficient detail, nonetheless, its purpose is to set the stage for future, in depth discussions of each element discussed below. The elements discussed below are meant to occur in parallel. All are necessary, none by itself sufficient. I welcome comments, critique, and questions.

Boulder Science Cafe, May 13th 5:30 RedFish

May 13, 2008. Roger Pielke Jr. CIRES, CU Boulder. "Have we underestimated the Carbon Dioxide Challenge?" Details. RedFish, 5:30PM, 2027 13th Street.

The Consistent-With Chronicles

Scientists are fond of explaining that recent observations of the climate are "consistent with" predictions from climate models. With this construction, scientists are thus explicitly making the claim that models can accurately predict the evolution of those climate variables. Here are just a few recent examples:

"What we are seeing [in recent hurricane trends] is consistent with what the global warming models are predicting," Thomas Knutson, a research meteorologist at a National Oceanic and Atmospheric Administration laboratory in Princeton, N.J., said Friday. link

In a change that is consistent with global warming computer models, the jet streams that govern weather patterns around the world are shifting their course, according to a new analysis by the Carnegie Institution published in Geophysical Research Letters. link

Francis Zwiers, the director of the climate research division of Environment Canada, said research consistently showed the addition of sulfate aerosols and greenhouse gases such as carbon dioxide into the atmosphere has changed rainfall patterns in the Arctic. Zwiers and his colleagues made their findings using 22 climate models that looked at precipitation conditions from the second half of the 20th century. Writing in the journal Science, Zwiers said these findings are consistent with observed increases in Arctic river discharge and the freshening of Arctic water masses during the same time period. link

The fact that we are seeing an expansion of the ocean’s least productive areas as the subtropical gyres warm is consistent with our understanding of the impact of global warming. But with a nine-year time series, it is difficult to rule out decadal variation. link

All of this talk of observations being "consistent with" the predictions from climate models led me to wonder -- What observations would be inconsistent with those same models?

Logically, for a claim of observations being "consistent with" model predictions to have any meaning then there also must be some class of observations that are "inconsistent with" model predictions. For if any observation is "consistent with" model predictions then you are saying absolutely nothing, while at the same time suggesting that you are saying something meaningful. In other contexts this sort of talk is called spin.

So I have occasionally used this blog to ask the question -- what observations would be inconsistent with model predictions?

The answer that keeps coming up is "no observations" -- though a few commenters have suggested that a temperature change of 10 degrees C over a decade would be inconsistent, as too would be the glaciation of NYC over the next few years. These responses certainly are responsive, but I think help to make my point.

Others, such as climate modeler James Annan, suggest that my goal is to falsify global warming theory (whatever that is):"no-one is going to "falsify" the fact that CO2 absorbs LW radiation". No. James is perhaps trying to change the subject, as I am interested in exactly what I say I am interested in -- to understand what observations might be inconsistent with predictions from "global warming models," in the words of climate modeler Tom Knutson, cited above.

Others suggest that by asking this questions I am providing skeptics with "talking points." The implication I suppose is that I should not be looking behind the curtain, lest I find a little wizard at the controls and reveal that we are all actually in Oz. How silly is this complaint? If the political agenda of those wanting action on climate change is so sensitive to someone asking questions of climate models that it risks collapsing, then it is a pretty frail agenda to begin with. I actually do not think that it is so frail, and in fact, my view is that the science, and policies justified based on scientific claims, will be stronger by openly discussing these issues.

A final set of reactions has been that climate models only predict trends over the long-term, such as 30 years, and that anyone looking to examine short-term climate behavior is either stupid or willfully disingenuous. It is funny how this same complaint is not levied at those scientists making claims of "consistent with," such as in those examples listed above. Of course, any time period can be used to compare model predictions with observations -- uncertainties will simply need to be presented as a function of the time period selected. When scientists (and others) argue against rigorously testing predictions against observations, then you know that the science is in an unhealthy state.

So, to conclude, so long as climate scientists make public claims that recent observations of aspects of the climate are "consistent with" the results of "global warming models," then it is perfectly appropriate to ask what observations would be "inconsistent with" those very same models. Until this follow up question is answered in a clear, rigorous manner, the incoherent, abusive, and misdirected responses to the question will have to serve as answer enough.

The High Cost of Emissions Reduction Symbolism

The U.S. Congress has its own power plant which provides steam and cooled water to the various congressional buildings. This plant is powered powered by coal, which makes it a large obstacle in Speaker Nancy Pelosi's (D-CA) goal of making the Congress carbon neutral. Thus, the power plant has been the subject of some political wrangling that has members of Congress from coal-producing states against those looking to avoid the hypocrisy of Congress calling for emissions limits while operating its own business in a carbon intensive manner.

Today the GAO released a report (PDF) on the costs associated with switching the plant from coal to natural gas. At first glance the costs are not terribly large -- in 2009, the costs would be from $1.0 to $1.8 million, with the difference largely due to uncertainties in the costs of natural gas. GAO estimates that the switch would save 9,970 tons of carbon dioxide emissions from the case of no switch.

This equates to $370 to $650 per ton of carbon. This is far higher than the costs of carbon being considered in legislation, found in the market of in the ETS, an in the realm of the costs of simple air capture (PDF).

Now there is surely a lesson here, beyond the fact that members of Congress are willing to pay above market prices for policy outcomes. At these costs, the act of fuel switching at the Capitol power plant would clearly be only of symbolic value, but if emissions reductions can indeed be archived at a low cost, why would the Congress be paying up to $650 per ton of carbon? This doesn't seem like the right message to be sending to the American public, and could potentially backfire.

Blinded By Assumptions

My latest column for Bridges is out, and it is titled "Blinded by Assumptions," you can read it here.

Global Cooling Consistent With Global Warming

For a while now I've been asking climate scientists to tell me what could be observed in the real world that would be inconsistent with forecasts (predictions, projections, etc.) of climate models, such as those that are used by the IPCC. I've long suspected that the answer is "nothing" and the public silence from those in the outspoken climate science community would seem to back this up. Now a paper in Nature today (PDF) suggests that cooling in the world's oceans couldthat the world may cool over the next 20 years few decades , according to Richard Woods who comments on the paper in the same issue, "temporarily offset the longer-term warming trend from increasing levels of greenhouse gases in the atmosphere", and this would not be inconsistent with predictions of longer-term global warming.

I am sure that this is an excellent paper by world class scientists. But when I look at the broader significance of the paper what I see is that there is in fact nothing that can be observed in the climate system that would be inconsistent with climate model predictions. If global cooling over the next few decades is consistent with model predictions, then so too is pretty much anything and everything under the sun.

This means that from a practical standpoint climate models are of no practical use beyond providing some intellectual authority in the promotional battle over global climate policy. I am sure that some model somewhere has foretold how the next 20 years will evolve (and please ask me in 20 years which one!). And if none get it right, it won't mean that any were actually wrong. If there is no future over the next few decades that models rule out, then anything is possible. And of course, no one needed a model to know that.

Don't get me wrong, models are great tools for probing our understanding and exploring various assumptions about how nature works. But scientists think they know with certainty that carbon dioxide leads to bad outcomes for the planet, so future modeling will only refine that fact. I am focused on the predictive value of the models, which appears to be nil. So models have plenty of scientific value left in them, but tools to use in planning or policy? Forget about it.

Those who might object to my assertion that models are of no practical use beyond political promotion, can start by returning to my original question: What can be observed in the climate over the next few decade that would be inconsistent with climate model projections? If you have no answer for this question then I'll stick with my views.

Tom Friedman on Education

Tom Friedman warms the hearts of policy professors everywhere:

I think it's so great that so many schools are teaching ecology and the environment, and I would have taken that if I could have; I've had to learn that myself. The thing I would love to see? We really need a course in every school on environmental policymaking. Do you know how a utility works? I didn't before I wrote [Hot, Flat, and Crowded]. I had no idea where the regulations got written. You really need a course in policymaking. If you don't understand where the choke points and the leverage points are in the system, you can have all the environmental awareness in the world and you're not going to be able to tilt the system. I'd love to see courses on environment and ecology because you need that foundation in science, but I think you also need to know where the policy is made. It's much more important to change your leaders than your light bulb.

CSU Silencing Bill Gray?

Colorado State is apparently or perhaps will be reducing its media relations support for Bill Gray, as he is simply calling too much attention to the school. Dr. Gray thinks that it has something to do with global warming. I am sure that both the science community and the blogosphere will be rushing to Bill Gray's defense, full of outrage.

ScienceDebate2008 - Lessons Learned?

No, it's not officially dead, but with the recent cancellation of a North Carolina debate that wasn't focused on science, and Senator Clinton's challenge today for an unmoderated debate, the likelihood that the event ScienceDebate 2008 first thought would happen in Pennsylvania, then in Oregon, rapidly approaches zero.

ScienceDebate 2008 has already been criticized here for being confusing about the intended purpose. Others have supported the effort, suggesting that at least it got people motivated about the problem. But ScienceDebate isn't the first groups to assemble a collection of dignitaries to prove the value of their message. Between them, the Union of Concerned Scientists, Scientists and Engineers for America, various groups of scientists for past presidential candidates, and the plethora of business and other consortia agitating for attention to science and technology, we haven't gotten very far. Whether they like it or not, ScienceDebate 2008 happened in Boston this past February during the AAAS meeting.

ScienceDebate 2008 is another example of good intentions horribly executed. Some possible reasons after the jump.

Science Advisor Confirms His Existence

Correcting two Nobel Prize Winners, Science Advisor to the President, Dr. John Marburger responded in today's Wall Street Journal to last week's Op-Ed from Drs. David Baltimore and Ahmed Zewail bemoaning the lack of a science debate. Marburger was generally supportive of the piece until he noted what I did in an earlier post here - that the assertion that there is no science adviser nor science office in the White House is false. He was a good sport about it, which is all the better to him.

While I had much evidence to the contrary, a Google search on "presidential science adviser" reassured me that my office and I do in fact exist in the virtual as well as in the real world.

My thanks to the OSTP Communications Director for letting us know of the letter - and that Prometheus is on their radar.

The original Journal piece has since been amended with a correction - something that can't help the advocacy of Baltimore and Zewail. It's hard to respect the arguments of someone who can't get their facts straight.

Malaria and Greenhouse Gases

Did you know that today is "World Malaria Day"? I wouldn't be surprised if you didn't; a search of Google News shows 233 stories on "world malaria day" published in the past 24 hours. A search of "climate change" over the past 24 hours shows 45,819 stories. This post is about the inevitable conflict in objectives that results when we frame the challenge of global warming in terms of "reducing emissions" rather than "energy modernization." The result is inevitably a battle between mitigation and adaptation, when in reality they should be complements.

Why does malaria matter? According to Jeffrey Sachs:

The numbers are staggering: there are 300 to 500 million clinical cases every year, and between one and three million deaths, mostly of children, are attributable to this disease. Every 40 seconds a child dies of malaria, resulting in a daily loss of more than 2,000 young lives worldwide. These estimates render malaria the pre-eminent tropical parasitic disease and one of the top three killers among communicable diseases.

The Economist reported a few weeks ago on efforts to eradicate malaria. The article referenced a study by McKinsey and Co. on the "business case" (PDF) for eradicating malaria. Here are the reported 5-year benefits:

• Save 3.5 million lives

• Prevent 672 million malaria cases

• Free up 427,000 hospital beds in sub-Saharan Africa

• Generate more than $80 billion in increased GDP for Africa

I want to focus on the prospects for increasing African GDP, for as we have learned via the Kaya Identity, an increase in GDP will necessarily mean an increase in carbon dioxide emissions. So what are the implications of eradicating malaria for future greenhouse gas emissions from Africa?

To answer this question I obtained data on African greenhouse gas emissions from CDIAC, and I subtracted out South Africa, which accounts for a large share of current African emissions. I found that the average annual increase from 1990-2004 was 5.2%, which I will use as a baseline for projecting business-as-usual emissions growth into the future.

The next question is what effect the eradication of malaria might have on African GDP. The McKinsey & Co. report referenced a paper by Gallup and Sachs (2001, link) which speculates (and I think that is a fair characterization) that complete eradication could boost GDP growth by as much as 3% per year. This would take African emissions growth rates to 8.2%, which is still well short of what has been observed in China this decade, and thus not at all unreasonable. So I'll use this as an upper bound (not as a prediction, to be clear). So if we graph future emissions under my definition of business-as-usual and also the Gallup/Sachs upper bound, we get the following curves to 2050.

The figure shows that by eradicating malaria, it is conceivable that there will be an corresponding increase in annual African emissions of more than 11 GtC above BAU. Today, the entire world has about 9 GtC. For those following our debate with Joe Romm earlier this week, this would mean that he would have to come up with another way to get 10 more "wedges," as rapid African growth is included in none of the BAU emissions scenarios. Put another way, the success of his proposed policies depends on not eradicating malaria since rapid African GDP growth busts his wedge budget.

The implications should be obvious: If a goal of climate policy is simply to "reduce emissions" then this goal clearly conflicts with efforts to eradicate malaria, which will inevitably lead to an increase in emissions. But if the goal is to modernize the global energy system -- including the developing the capacity to provide vast quantities of carbon-free energy, then there is no conflict here.

This distinction helps to explain why there persists an adaptation vs. mitigation debate, and why it is that advocates of adaptation (to which eradicating malaria falls under) are often excoriated as "deniers" or "delayers" -- adaptation just doesn't help the emissions reduction challenge. The continued denigration of those who support adaptation will continue until we reframe the climate debate in terms of energy modernization and adaptation, which are complementary approaches to sustainable development.

Over at The New Scientist Fred Pearce takes a broader view and warns of "green fascism" on the issue of development and population:

But there is another question that I find increasingly being asked. Should we be trying to stop others having babies, especially people in poor countries with fast-growing populations?

I must say I thought this kind of illiberal thinking had been banished from the environmental movement. But it keeps seeping back. When I give public talks on climate change, I am often asked if all the efforts in the rich world won't be wiped out by rising populations in the poor world.

Isn't overpopulation more dangerous than overconsumption? I say no. But the unpalatable truth is that a lot of environmental thinking over the past half century has been underpinned by an unhealthy preoccupation with the breeding propensity of Asians and Africans. . .

Only recently, US groups opposed to all migration tried to get their policies adopted by the blue-chip environment group, the Sierra Club. To many they sounded like a fringe group. Actually they were an echo of the earlier mainstream.

And the echo is becoming louder. We hear it in the climate change debate. No matter that the average European or North American has carbon emissions 10 times greater than the average Indian or African, somehow it is those pesky breeding foreigners who are really to blame.

And now food shortages are growing and we will get more. Ehrlich, we are bound to be told, was right after all. You have been warned: green fascism could soon be on the march.

It is long overdue to rethink how we think about the climate debate.

Germany's Energy Gap

Der Spiegel has an excellent article on the future of Germany's energy supply. Even with projections of a falling population, Germany has a looming gap between the energy it needs and the energy it projects to be available. Why is this? According to the article:

Nuclear power is too dangerous. Coal is too dirty. Gas involves too much dependence on Russia. And renewables are insufficient. So just where is Germany going to get its power from?

How did Germany, with its forward-thinking renewable policies and ecologically sensitive populace, get into this situation?

The problem is that up until now the Germans have been too passive in working towards achieving an energy supply that satisfies all requirements; in other words, one that is environmentally friendly, safe and cost-efficient at the same time. They have chosen to fritter away the fruits of their prosperity on day-to-day problems instead of investing them in intelligent preparations for the future -- in other words, in energy research.

In fact, Germany actually offers the ideal conditions to achieve even more impressive technological advances than in the past. The Karlsruhe Institute of Technology (KIT), with its 7,500 staff, is a perfect illustration of this potential.

Engineers on the campus of the KIT are testing, for example, a prototype system that converts straw into fuel. In another lab, engineers are developing a highly efficient geothermal power plant, and in yet another, physicists are building giant magnets for the experimental ITER fusion reactor to be based in France.

Everywhere at KIT, solutions are being developed which will not only help Germany, but also the rest of the world, to overcome the most serious energy problems. But the engineers and scientists at the Karlsruhe technology park sense -- precisely because they are so ambitious -- the limits of what they can do. Peter Fritz, the institute's head of research, says that the threat of an energy gap in Germany is not the only reason that "a great deal of know-how and money needs to be mobilized very quickly."

In comparison to the size of the problem, energy research in Germany has tended until now to be somewhat relegated to the sidelines. But it is also a decisive weak point, including in the debate over the expected power shortfall. This is because cutting-edge research offers the best way to limit the costs associated with a massive expansion of renewable energy.

From a global perspective, government research expenditures have hardly increased since the early 1970s, and the situation is especially bleak in Germany. After the 1973 oil crisis, annual expenditures for energy research, adjusted for inflation, were almost doubled to €1.5 billion ($2.37 billion). But then, as the pressure of high oil prices subsided, research budgets were gradually reduced before reaching a record low of just under €360 million ($569 million) in 2001.

Energy research budgets have gone up again since then, but far too slowly. Ironically, the grand coalition makes no secret of its pride in having brought the government's energy research budget back up to above €500 million ($790 million).

KIT research director Fritz isn't surprised that so many important questions still haven't been answered, including the issue of long-term storage of nuclear waste. "It is critical that we bring expenditures back up to €1.5 billion ($2.37 billion)," he says, and he even has a provocative idea to offer: "The government should sell extended operating periods for German nuclear power plants at auction and invest the proceeds in research."

It's a provocative idea: Use yesterday's dirty technology to make a clean future possible? Nuclear money for the great efficiency revolution?

Even Foreign Minister Steinmeier, the architect of Germany's nuclear phase-out, sometimes succumbs to temptation. "Longer operating lives for nuclear power plants would certainly be the easier approach," he says, but adds: "However, accelerated technology development is much better in the long run and provides us with new export markets."

There is a technology policy lesson for the U.S. to be learned in Germany's energy policies. Specifically, yes do everything that you can in the short-term to make energy more secure, more efficient, and more clean -- and above all, available. But don't forget that to invest in innovation, lest you find yourself in an impossible situation.

Joe Romm’s Fuzzy Math

[UPDATE: Joe Romm replies in the comments: "Roger -- Thanks for catching my C vs CO2 error.those are very hard to avoid. And thank you for this post. I probably should have elaborated on this issue already -- so I'll just do it in a new post, which will take me a few hours to put together. As you'll see, there actually isn't a gap in my math -- there is a gap in Socolow's and Pacala's math that most people (you included) miss. I'll leave it at that, for now, and Post the link when I am finished."]

Readers here will know that Joe Romm has been extremely critical of the idea that we need any new technological advances to achieve stabilization of atmospheric carbon dioxide concentrations at a level such as 450 ppm. Now Joe helpfully lays out his plan for how stabilization at such a low level might be achieved. It turns out that there is a significant gap in Joe’s math. Even the remarkably ambitious (some would say impossibly fantastic) range of implementation activities that he proposes cannot even meet his own stated goals for success. The only way for him to close the mathematical gap that he has is to rely on – get this -- assumptions of spontaneous decarbonization of the global economy (and by this I mean specifically reductions in energy per economic growth and reductions in carbon per unit energy). In fact, the emissions reductions that he needs to occur automatically (i.e., assumed) for his math to work out are larger than those he proposes through implementation.

The Central Question of Mitigation

[Updated: In the comments Skipper points out a units error (Thanks!). That would be 20,000 nuclear plants, not 2,000!]

The central question can be found at the bottom of this long, technical post. In 1998 Hoffert et al. published a seminal paper in Nature (PDF) which argued that:

Stabilizing atmospheric CO2 at twice pre-industrial levels while meeting the economic assumptions of "business as usual" implies a massive transition to carbon-free power, particular in developing nations. There are no energy systems technologically ready at present to produce the required amounts of carbon-free power.

Hoffert et al. provide a figure which illustrates the amount of carbon-free energy that will be needed assuming that concentrations of carbon dioxide are to be stabilized at 550 ppm, and the global economy grows at 2.9% per year to 2025 and 2.3% per year thereafter. I have updated this figure to 2008 (estimated) values as indicated below.