The snail was found alive last month on Aldabra in the Seychelles

Rhachistia aldabrae was found alive last month on Aldabra, a coral island in the Seychelles, seven years after a scientific paper in the Royal Society journal Biology Letters had declared it extinct and said climate change was to blame. The claim was cited in 2013 in a paper in another Royal Society journal, which suggested that this was the clearest example of man-made climate change causing an extinction.

The Intergovernmental Panel on Climate Change, the UN science advisory body, used the second paper as evidence in its major report this year on the impacts of rising emissions. It stated: “Future species extinctions are a high risk because the consequences of climate change are potentially severe, widespread and irreversible.”

However, the claim that the snail was extinct had been rebutted in 2007 by four senior scientists, including Clive Hambler, a lecturer in biology at the University of Oxford and a leading authority on Aldabra. They wrote to the editor of Biology Letters in 2007, saying the paper’s author, Justin Gerlach, had wrongly claimed that “exhaustive” searches had been made for the snail. They also said he had used the wrong method to assess its decline and had made an error that resulted in the reduction in rainfall being exaggerated.

In a rebuttal paper, they wrote: “The vast majority of the habitat is virtually inaccessible and has never been visited. It is unwise to declare this species extinct after a gap in known records of ten years. We predict ‘rediscovery’ when resources permit.”

The journal refused to publish the rebuttal, saying it had been “rejected following full peer review”. The journal sent Mr Hambler the reviews of the rebuttal by two anonymous academic referees, who had rejected the criticisms made of Mr Gerlach’s paper.

However, the Royal Society admitted this week, after questions from The Times, that the referees who had rejected the rebuttal were the same referees who had approved Mr Gerlach’s paper for publication. The society said it had since changed its policy on reviewing rebuttals.

After hearing that the snail had been found, Mr Hambler wrote to the journal this month asking it to retract Mr Gerlach’s paper and publish his rebuttal. “Your original (Gerlach) paper on a climate-induced extinction had errors… Yet it has come to be cited as one of the clearest examples of possible climate-induced global extinction,” he wrote.

Speaking to The Times, he said: “Crying wolf over climate change in this way diverts attention from more pressing causes of extinction, such as the destruction of habitat and invasive species.”

The society has refused to publish the rebuttal because it is seven years old. It has asked Mr Hambler to revise his comments “to include new or additional information”. However, Mr Hambler said that he did not want to revise the rebuttal because it was accurate.

Mr Gerlach said that his error in declaring the snail extinct “does not detract from the fact that the population collapsed catastrophically”.

2) Obama’s Former Science Official: ‘Climate Science Is Not Settled’
The Wall Street Journal, 20 September 2014

Steven E. Koonin

We are very far from the knowledge needed to make good climate policy, writes leading scientist Steven E. Koonin, Under Secretary for science in the US Energy Department during President Barack Obama’s first term. 

The idea that “Climate science is settled” runs through today’s popular and policy discussions. Unfortunately, that claim is misguided. It has not only distorted our public and policy debates on issues related to energy, greenhouse-gas emissions and the environment. But it also has inhibited the scientific and policy discussions that we need to have about our climate future.

My training as a computational physicist—together with a 40-year career of scientific research, advising and management in academia, government and the private sector—has afforded me an extended, up-close perspective on climate science. Detailed technical discussions during the past year with leading climate scientists have given me an even better sense of what we know, and don’t know, about climate. I have come to appreciate the daunting scientific challenge of answering the questions that policy makers and the public are asking.

The crucial scientific question for policy isn’t whether the climate is changing. That is a settled matter: The climate has always changed and always will. Geological and historical records show the occurrence of major climate shifts, sometimes over only a few decades. We know, for instance, that during the 20th century the Earth’s global average surface temperature rose 1.4 degrees Fahrenheit.

Nor is the crucial question whether humans are influencing the climate. That is no hoax: There is little doubt in the scientific community that continually growing amounts of greenhouse gases in the atmosphere, due largely to carbon-dioxide emissions from the conventional use of fossil fuels, are influencing the climate. There is also little doubt that the carbon dioxide will persist in the atmosphere for several centuries. The impact today of human activity appears to be comparable to the intrinsic, natural variability of the climate system itself.

Rather, the crucial, unsettled scientific question for policy is, “How will the climate change over the next century under both natural and human influences?” Answers to that question at the global and regional levels, as well as to equally complex questions of how ecosystems and human activities will be affected, should inform our choices about energy and infrastructure.

But—here’s the catch—those questions are the hardest ones to answer. They challenge, in a fundamental way, what science can tell us about future climates.
Even though human influences could have serious consequences for the climate, they are physically small in relation to the climate system as a whole. For example, human additions to carbon dioxide in the atmosphere by the middle of the 21st century are expected to directly shift the atmosphere’s natural greenhouse effect by only 1% to 2%. Since the climate system is highly variable on its own, that smallness sets a very high bar for confidently projecting the consequences of human influences.

A second challenge to “knowing” future climate is today’s poor understanding of the oceans. The oceans, which change over decades and centuries, hold most of the climate’s heat and strongly influence the atmosphere. Unfortunately, precise, comprehensive observations of the oceans are available only for the past few decades; the reliable record is still far too short to adequately understand how the oceans will change and how that will affect climate.

A third fundamental challenge arises from feedbacks that can dramatically amplify or mute the climate’s response to human and natural influences. One important feedback, which is thought to approximately double the direct heating effect of carbon dioxide, involves water vapor, clouds and temperature.

But feedbacks are uncertain. They depend on the details of processes such as evaporation and the flow of radiation through clouds. They cannot be determined confidently from the basic laws of physics and chemistry, so they must be verified by precise, detailed observations that are, in many cases, not yet available.

Beyond these observational challenges are those posed by the complex computer models used to project future climate. These massive programs attempt to describe the dynamics and interactions of the various components of the Earth system—the atmosphere, the oceans, the land, the ice and the biosphere of living things. While some parts of the models rely on well-tested physical laws, other parts involve technically informed estimation. Computer modeling of complex systems is as much an art as a science.

For instance, global climate models describe the Earth on a grid that is currently limited by computer capabilities to a resolution of no finer than 60 miles. (The distance from New York City to Washington, D.C., is thus covered by only four grid cells.) But processes such as cloud formation, turbulence and rain all happen on much smaller scales. These critical processes then appear in the model only through adjustable assumptions that specify, for example, how the average cloud cover depends on a grid box’s average temperature and humidity. In a given model, dozens of such assumptions must be adjusted (“tuned,” in the jargon of modelers) to reproduce both current observations and imperfectly known historical records.

We often hear that there is a “scientific consensus” about climate change. But as far as the computer models go, there isn’t a useful consensus at the level of detail relevant to assessing human influences. Since 1990, the United Nations Intergovernmental Panel on Climate Change, or IPCC, has periodically surveyed the state of climate science. Each successive report from that endeavor, with contributions from thousands of scientists around the world, has come to be seen as the definitive assessment of climate science at the time of its issue.

For the latest IPCC report (September 2013), its Working Group I, which focuses on physical science, uses an ensemble of some 55 different models. Although most of these models are tuned to reproduce the gross features of the Earth’s climate, the marked differences in their details and projections reflect all of the limitations that I have described. For example:

• The models differ in their descriptions of the past century’s global average surface temperature by more than three times the entire warming recorded during that time. Such mismatches are also present in many other basic climate factors, including rainfall, which is fundamental to the atmosphere’s energy balance. As a result, the models give widely varying descriptions of the climate’s inner workings. Since they disagree so markedly, no more than one of them can be right.

• Although the Earth’s average surface temperature rose sharply by 0.9 degree Fahrenheit during the last quarter of the 20th century, it has increased much more slowly for the past 16 years, even as the human contribution to atmospheric carbon dioxide has risen by some 25%. This surprising fact demonstrates directly that natural influences and variability are powerful enough to counteract the present warming influence exerted by human activity.

Yet the models famously fail to capture this slowing in the temperature rise. Several dozen different explanations for this failure have been offered, with ocean variability most likely playing a major role. But the whole episode continues to highlight the limits of our modeling.

• The models roughly describe the shrinking extent of Arctic sea ice observed over the past two decades, but they fail to describe the comparable growth of Antarctic sea ice, which is now at a record high.

• The models predict that the lower atmosphere in the tropics will absorb much of the heat of the warming atmosphere. But that “hot spot” has not been confidently observed, casting doubt on our understanding of the crucial feedback of water vapor on temperature.

• Even though the human influence on climate was much smaller in the past, the models do not account for the fact that the rate of global sea-level rise 70 years ago was as large as what we observe today—about one foot per century.

• A crucial measure of our knowledge of feedbacks is climate sensitivity—that is, the warming induced by a hypothetical doubling of carbon-dioxide concentration. Today’s best estimate of the sensitivity (between 2.7 degrees Fahrenheit and 8.1 degrees Fahrenheit) is no different, and no more certain, than it was 30 years ago. And this is despite an heroic research effort costing billions of dollars.

These and many other open questions are in fact described in the IPCC research reports, although a detailed and knowledgeable reading is sometimes required to discern them. They are not “minor” issues to be “cleaned up” by further research. Rather, they are deficiencies that erode confidence in the computer projections. Work to resolve these shortcomings in climate models should be among the top priorities for climate research.

Yet a public official reading only the IPCC’s “Summary for Policy Makers” would gain little sense of the extent or implications of these deficiencies. These are fundamental challenges to our understanding of human impacts on the climate, and they should not be dismissed with the mantra that “climate science is settled.”

While the past two decades have seen progress in climate science, the field is not yet mature enough to usefully answer the difficult and important questions being asked of it. This decidedly unsettled state highlights what should be obvious: Understanding climate, at the level of detail relevant to human influences, is a very, very difficult problem.

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