Rep. Gary Palmer falsely claimed on a radio show that temperature data used to measure global climate change have been “falsified” and manipulated.
Palmer, a Republican from Alabama, cited the so-called Climategate episode of five years ago, in which emails written by climate scientists purportedly showed evidence of data manipulation, and a more recent accusation of climate scientists tampering with data from temperature monitoring stations. This has been subject to several separate investigations, all of which exonerated all scientists involved from any wrongdoing. The latest data manipulation charges were just a mischaracterization of standard, well-validated methods for adjusting temperature records to eliminate factors that could produce inaccurate readings.
Radio host Matt Murphy in Birmingham, Alabama, asked for Palmer’s thoughts on the snowstorms in the Northeast and climate change:
Palmer, Feb. 10: I think it might be a matter of the report that came out last week about the government manipulating data and misleading people a little bit. But two feet of snow ought to get their attention. … It’s not the first time. I mean, I wrote about this a couple of years ago, when it came out that the scientists at East Anglia University in England had done this, and that was the data that the United Nations report was based on. It was a huge scandal, there were emails going around where they were, the scientists were literally talking about how they were going to change the data. We are building an entire agenda on falsified data that will have an enormous impact on the economy.
The “report” to which Palmer referred was actually a series of blog posts, written by climate change denier Paul Homewood, which were then highly publicized in two stories by Christopher Booker in the Daily Telegraph in London. Both writers focused on the adjustments made to temperature readings at certain monitoring stations around the world, and claimed that those adjustments throw the entire science of global warming into question. This is not at all the case, and those adjustments are a normal and important part of climate science.
The National Oceanic and Atmospheric Administration, the U.S. agency responsible for monitoring national and global temperature trends, has addressed these types of adjustments several times before. NOAA addresses the subject in a Q&A on its website:
Q: What are some of the temperature discrepancies you found in the climate record and how have you compensated for them?
Over time, the thousands of weather stations around the world have undergone changes that often result in sudden or unrealistic discrepancies in observed temperatures requiring a correction. For the U.S.-based stations, we have access to detailed station history that helps us identify and correct discrepancies. Some of these differences have simple corrections.
NOAA maintains about 1,500 monitoring stations, and accumulates data from more than a thousand other stations in countries around the world (many national and international organizations share this type of data freely). There are actually fewer monitoring stations today than there used to be; modern stations have better technology and are accessible in real time, unlike some older outposts no longer in use. The raw, unadjusted data from these stations is available from many sources, including the international collaboration known as the Global Historical Climatology Network and others.
As the years go by, all those stations undergo various types of changes: This can include shifts in how monitoring is done, improvements in technology, or even just the addition or subtraction of nearby buildings.
For example, a new building constructed next to a monitoring station could cast a shadow over a station, or change wind patterns, in such ways that could affect the readings. Also, the timing of temperature measurements has varied over time. And in the 1980s, most U.S. stations switched from liquid-in-glass to electronic resistance thermometers, which could both cool maximum temperature readings and warm minimum readings.
Monitoring organizations like NOAA use data from other stations nearby to try and adjust for these types of issues, either raising or lowering the temperature readings for a given station. This is known as homogenization. The most significant adjustment around the world, according to NOAA, is actually for temperatures taken over the oceans, and that adjustment acts to lower rather than raise the global temperature trend.
The homogenization methods used have been validated and peer-reviewed. For example, a 2012 paper in the Journal of Geophysical Research confirmed the effectiveness of the homogenization processes for NOAA’s network of stations, and even noted that “it is likely that maximum temperature trends have been underestimated.” In other words, there may have actually been more warming than NOAA has reported.
Another paper, from 2010, looked into the siting of U.S. monitoring stations in particular, and again found no problem with the homogenization methods. “[T]he adjusted [U.S. Historical Climatology Network] temperatures are extremely well aligned with recent measurements. … In summary, we find no evidence that the [conterminous United States] average temperature trends are inflated due to poor station siting.”
Berkeley Earth, a climate science nonprofit founded in early 2010 by scientists expressing skepticism at the time about global warming, has also found no undue manipulation of temperature data in its own analyses. Its page specifically on the Paraguayan Puerto Casado station that Homewood mentioned shows the adjusted readings do in fact show a rise in temperature over time.
An October 2011 paper in the Journal of Geophysical Research provides an overview of the entire Global Historical Climatology Network’s temperature data set, including detailed information about adjustments. In total, at least one “bias correction” was applied to 3,297 of the 7,279 stations in use at some point since 1801, though most of these occurred from the 1950s through the 1980s.
As the chart below shows, there are approximately equal numbers of adjustments in the positive and negative directions.
A spokesman for Palmer told us in an email that “it’s very apparent that some of the temperature records have been mangled by the computer in an attempt to make them conform to certain standards.” As the research we describe above shows, no such “mangling” or other manipulation is at all apparent. The spokesman cited a 2007 paper by an economist at the University of Guelph and a scholar at the Cato Institute that found that correlations between temperature readings and socioeconomic data call into question the overall global temperature trend. A subsequent paper by a NASA climate scientist highlighted the problems with this finding, most notably a very limited set of correlations (primarily the U.S., Japan and Western Europe). He concluded that “there is no compelling evidence from these correlations of any large-scale contamination.”
Scientists have criticized the Telegraph’s Booker (and by extension Homewood) for spreading misinformation on climate science. In a post on RealClimate.org, Norwegian Meteorological Institute senior researcher Rasmus Benestad quickly debunked the details of Booker’s and Homewood’s claims. He said of the Telegraph story, “a person who writes such a misleading story shows little respect for his readers.”
Climate skeptics claimed that leaked emails between many climate scientists around the world showed there was a coordinated effort to inflate the global warming signal in temperature data. But several separate investigations, including by the U.S. Department of Commerce Inspector General and the Environmental Protection Agency, found no such wrongdoing or manipulation.
According to one independent international investigation, known informally as the Oxburgh Report: “We saw no evidence of any deliberate scientific malpractice in any of the work of the Climatic Research Unit and had it been there we believe that it is likely that we would have detected it.” Palmer’s spokesman said the congressman had no comment on the repetition of this claim in spite of the repeated exonerations.
Palmer’s claim that “we are building an entire agenda on falsified data” has no basis in evidence. Even as these claims of data manipulation have resurfaced, there is now a general consensus that 2014 was the hottest single year since temperature record keeping began.
This same conclusion has been reached by NOAA and NASA, the Japan Meteorological Agency, and the World Meteorological Organization. The United Kingdom’s Met Office said that 2014 was among the warmest along with 2010, but it is impossible to say for sure that 2014 was hotter. According to NASA, nine of the 10 warmest years have all occurred since 2000, with 1998 the lone exception.
Editor’s Note: SciCheck is made possible by a grant from the Stanton Foundation.
– Dave Levitan
Also see The “Pause” in Global Warming Is Finally Explained, By Mark Fischetti, Scientific American, February 26, 2015
Grades 6–8: Overview of Science and Engineering Practices
Examine and interpret data to describe the role human activities have played in the rise of global temperatures over time; construct, analyze, and/or interpret graphical displays of data and/or large data sets to identify linear and nonlinear relationships; distinguish between causal and correlational relationships in data; consider limitations of data analysis.
8.MS-ESS3-5. Examine and interpret data to describe the role that human activities have played in causing the rise in global temperatures over the past century.
High School. HS-ESS3-5. Analyze results from global climate models to describe how forecasts are made of the current rate of global or regional climate change and associated future impacts to Earth systems.
Clarification: Climate model outputs include both climate changes (such as precipitation and temperature) and associated impacts (such as on sea level, glacial ice volumes, and atmosphere and ocean composition).
Disciplinary Core Ideas
LS2.C: Ecosystem Dynamics, Functioning, and Resilience
A complex set of interactions within an ecosystem can keep its numbers and types of organisms relatively constant over long periods of time under stable conditions. If a modest biological or physical disturbance to an ecosystem occurs, it may return to its more or less original status (i.e., the ecosystem is resilient), as opposed to becoming a very different ecosystem. Extreme fluctuations in conditions or the size of any population, however, can challenge the functioning of ecosystems in terms of resources and habitat availability. (HS-LS2-2),(HS-LS2-6)
Moreover, anthropogenic changes (induced by human activity) in the environment—including habitat destruction, pollution, introduction of invasive species, overexploitation, and climate change—can disrupt an ecosystem and threaten the survival of some species. (HS-LS2-7)
Cross Cutting Concepts
Cause and Effect: Empirical evidence is required to differentiate between cause and correlation and make claims about specific causes and effects. (HS-LS2-8),(HS-LS4-6)
Scale, Proportion, and Quantity: The significance of a phenomenon is dependent on the scale, proportion, and quantity at which it occurs. (HS-LS2-1)
Using the concept of orders of magnitude allows one to understand how a model at one scale relates to a model at another scale. (HS-LS2-2)
Stability and Change: Much of science deals with constructing explanations of how things change and how they remain stable. (HS-LS2-6),(HS-LS2-7)
HS-ESS3-4. Evaluate or refine a technological solution that reduces impacts of human activities on natural systems.
HS-ESS3-5. Analyze geoscience data and the results from global climate models to make an evidence-based forecast of the current rate of global or regional climate change and associated future impacts to Earth’s systems.
[Clarification: Examples of evidence, for both data and climate model outputs, are for climate changes (such as precipitation and temperature) and their associated impacts (such as on sea level, glacial ice volumes, or atmosphere and ocean composition).]
[Assessment Boundary: Assessment is limited to one example of a climate change and its associated impacts.]
HS-ESS3-6. Use a computational representation to illustrate the relationships among Earth systems and how those relationships are being modified due to human activity.