Researchers Receive IJERPH Best Paper Award 2014

What are the human health implications of climate change? There is by now a well established body of evidence about the direct effects of increasing temperature, for example, heat stroke. But is that the full story? It is also possible that air pollution patterns may change as a result of the changing climate, especially ozone, whose production is stimulated by hot weather. In work started at The Statistical and Applied Mathematical Sciences Institute (SAMSI) and later completed with colleagues at North Carolina State University, Howard Chang studied the effect of simultaneous changes in temperature and ozone, using simulations from climate models. Rather than run the model multiple times under different scenarios (a very time consuming process), Chang and his colleagues devised a statistical approach which saves computation time and also allows them to estimate the uncertainty in their projections. As a result, they find significant increases in projected mortality in the southeastern U.S. during the period 2041-2050 compared with 2000 levels.
The resulting paper, written by Chang, Jingwen Zhou, North Carolina State University (NCSU) and Montserrat Fuentes, NCSU, was awarded the International Journal of Environmental Research and Public Health (IJERPH) Best Paper Award 2014. Their paper, “Impact of Climate Change on Ambient Ozone Level and Mortality in Southeastern United States” received the 3rd prize in the category “Articles.”
On an annual basis the IJERPH Best Paper Award recognizes outstanding papers in the area of environmental health sciences and public health that meet the aims, scope and high standards of the IJERPH journal.

Article link: http://www.mdpi.com/1660-4601/7/7/2866
Award link: http://www.mdpi.com/1660-4601/11/1/1192

SAMSI Hosts Simons Foundation Public Lecture – “The Public Health Impact of Air Pollution and Climate Change”

Francesca Dominici speaking on April 24 in Chapel Hill

Francesca Dominici speaking on April 24 in Chapel Hill

SAMSI was proud to be chosen as just one of nine places in the world to host a public lecture for the Simons Foundation. The Simons Foundation is sponsoring these lectures as part of “Mathematics for the Planet Earth”. MPE 2013 is a year-long series of events recognizing the role of the mathematics sciences, including statistics, in solving important problems in ecology, the environment, climate change, human health and a variety of other areas that concern the planet on which we live.

On April 24, over 150 gathered to hear Dr. Francesca Dominici talk about the public health impact of air pollution and climate change. The evening started out with a reception for professors and other distinguished guests from the Triangle region.

Richard Smith at the podium

Richard Smith welcoming everyone to the event.

Dr. Richard Smith, director of SAMSI, welcomed everyone and introduced Dr. Linda Birnbaum, director of the National Institute of Environmental Health Sciences and the National Toxicology Program.

Dr. Linda Birnbaum at the podium

Dr. Linda Birnbaum, Director of NIEHS, introduces Francesca Dominici

Dr. Birnbaum then introduced Francesca Dominici, Professor of Biostatistics in the Harvard School of Public Health, and Associate Dean of Information Technology.

Dominici gave an eloquent speech talking about how she and her colleagues look at various data sets, such as air pollution monitoring sites from the EPA, Medicare claims, data from NOAA, amongst others. She has developed statistical methods for the adjustment of measured and unmeasured confounders, Bayesian hierarchical models, causal inference methods, and missing data methods.

Here are more photos from the evening’s events. More about the speech will be covered in the next issue of SAMSI.Info.

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Dan Solomon talking at reception

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MECC2013 – Richard Smith’s Notes from Portugal

The following was written by Richard Smith, Director of SAMSI.

Last week I attended “MECC 2013” – the International Conference and Advanced School Planet Earth, Mathematics of Energy and Climate Change, in Portugal, March 21-28, 2013.

This was one of the two Portuguese research conferences linked to MPE2013, Mathematics of the Planet Earth. The main part of the conference took place over two and a half days in the magnificent Calouste Gulbenkian Foundation building in the center of Lisbon (as I discovered while there, the same building is also the concert hall of the Gulbenkian Orchestra – one night I went to a fine performance of the Brahms Requiem). There were fourteen keynote speakers as well as “thematic sessions” covering numerous aspects of mathematics, statistics and economics associated with climate change, renewable energy and related themes. I was one of the keynote speakers, and talked about recent work on climate extremes. Another keynote speaker with SAMSI connections was Chris Jones, of the UNC Math department and former Associate Director of SAMSI. Chris gave his talk by video link from Chapel Hill, which worked fine for most of his talk, though the communication was all one way: we could hear Chris just fine, but he could not hear us. Chris later commented to me that he found this very strange, though the talk was excellent. Other speakers covered topics such as solar energy and the economics of sustainability.

While I was there, they also asked me (along with several of the other visitors) to give some lectures at the University of Lisbon. So on the last day of my visit, I spoke for three hours to an audience that was mostly from the Statistics department of the University. I have had long connections with the Portuguese statistics community dating back to the first international conference on extreme value theory, which took place in Portugal in 1983. It was good to meet up with several old friends.

Richard Smith

Exploring the Impacts of Climate Change on Social and Political Stresses

The following was written by Richard Smith, Director of SAMSI.

Richard Smith

Richard Smith, Director of SAMSI.

What is it like to work on a committee of the National Research Council (NRC), especially if it’s on a topic that has the potential to make headlines? I had the chance to find out recently when I was asked to serve on the committee that produced the report Climate and Social Stress: Implications for Security Analysis (http://www.nap.edu/openbook.php?record_id=14682&page=1). Although the committee members and NRC staff were careful not to overplay the conclusions, the implications – that climate change could become a trigger for civil unrest and even war – were sure to attract attention.

It wasn’t the first time I had served on an NRC committee – some years ago, I served on a committee charged with reviewing one of the reports of the US government’s Climate Change Science Program. But that was very much an under-the-radar report, reviewing somebody else’s document rather than coming up with original conclusions of our own. This one was likely to be different.

The committee itself was a diverse group, including a former chairman of the National Intelligence Council and the former national security adviser to Vice President Al Gore, but was mostly composed of academics, including a number of social and political scientists, three climatologists, a decision science expert from RAND, and one statistician (me). The climatologists included two people I already knew well – Dave Easterling from the National Climatic Data Center (NCDC) in Asheville, and Otis Brown, Director of NC State’s Cooperative Institute for Climate and Satellites (also based at NCDC). Holding everything together was the study director, Paul Stern of the NRC. Paul did an amazing job of coordinating the entire activity, keeping everything on time and, I suspect, writing a considerable part of the actual text of the report.

There were four meetings of the committee, three at the National Academies main building in Washington and the fourth on the campus at Stanford (to even up, at least a little, the travel requirements on the east and west coasters). Each of the meetings was divided into private and public portions. The public portions included hearing from the study’s sponsor about the interest of the U.S. intelligence community in supporting this committee, and talks from outside experts (including Dan Cooley, who spent last Fall as a SAMSI visitor and led our spatial extremes working group).

 Simulations by global climate models show that when sea ice is in rapid decline, the rate of predicted Arctic warming over land can more than triple. The image at left shows simulated autumn temperature trends during periods of rapid sea-ice loss, which can last for 5 to 10 years. The accelerated warming signal (ranging from red to dark red) reaches nearly 1,000 miles inland. In contrast, the image at right shows the comparatively milder but still substantial warming rates associated with rising amounts of greenhouse gas in the atmosphere and moderate sea-ice retreat that is expected during the 21st century. Most other parts of the globe (in white) still experience warming, but at a lower rate of less than 1 degree Fahrenheit (0.5 Celsius) per decade.Photo courtesy of University Corporation for Atmospheric Research

Simulations by global climate models show that when sea ice is in rapid decline, the rate of predicted Arctic warming over land can more than triple. The image at left shows simulated autumn temperature trends during periods of rapid sea-ice loss, which can last for 5 to 10 years. The accelerated warming signal (ranging from red to dark red) reaches nearly 1,000 miles inland. In contrast, the image at right shows the comparatively milder but still substantial warming rates associated with rising amounts of greenhouse gas in the atmosphere and moderate sea-ice retreat that is expected during the 21st century. Most other parts of the globe (in white) still experience warming, but at a lower rate of less than 1 degree Fahrenheit (0.5 Celsius) per decade.Photo courtesy of University Corporation for Atmospheric Research.

So let me try to summarize some of the issues related to climate extremes, as they came up in this committee. There has been a lot of discussion in the literature about the extent to which the increasing frequency of extreme weather events may be said to have been a consequence of human-induced climate change. Superstorm Sandy is the most recent example of this kind of event. However, the experts are still not unanimous about the extent to which extreme events may be attributed to the human influence, and our committee decided not to try to address that issue. Instead, we focused on the changing probability of extreme events, and trying to understand how they are changing regardless of the underlying cause. Another feature of this committee’s work was to focus on fairly short-term events – projections to the end of the century may be of interest to the Intergovernmental Panel on Climate Change, but the feeling here was to concentrate on the next ten years. So the question became: how will probabilities of extreme events change over the next ten years? In the end we agreed that there was not enough published literature on this question to allow us to draw definitive conclusions, beyond a general agreement that such events are becoming more frequent. So we ended up with the rather imprecise but hard to argue conclusion: “Expect Surprises”.

Downed tree from Hurricane Sandy in Jamaica, NY

Downed tree from Hurricane Sandy in Jamaica, NY

Statistics of single extreme events, however, were not the only part of our focus. The report also discussed clusters of extreme events. The idea was that dependences between events in different places might lead to cascades of events, with possibly much greater consequences than just single extreme events. It seemed that bivariate (or spatial) extreme value theory might be a useful tool for this, which is why the committee invited Dan Cooley to speak.

Well, it turned out it wasn’t quite so easy to apply bivariate extreme value theory to the kinds of events the committee was interested in. One focus of our attention was the simultaneous occurrences of high temperatures in Russia and flooding in Pakistan during July and August 2010. A 2012 paper analyzed data from both these events and concluded that there was a plausible physical link between the two. However, an analysis of historical data did not find previous instances of this particular pairing of extreme events, so it was difficult to draw conclusions about joint tail probabilities.

Nevertheless, bivariate extreme value theory did prove useful in a different and unexpected context. Dave Easterling drew my attention to a 2008 paper that pointed out a connection between drought occurrences in the south west USA and the coast of Argentina (likely connected with the meteorological phenomena known as La Niña). Dave asked me whether this correlation would also apply to extreme events – the answer turned out to be yes.

So what was the take-home message? There are various plausible mechanisms by which climate change could affect national, and global, security, but quantifying the risk is far from easy. It was definitely a worthwhile activity in which to take part, and suggested a number of potential topics for my, and maybe also SAMSI’s, future research.

As a final irony, the report was due to be released to the public in Washington on October 31 – the day after Sandy struck much of the eastern seaboard. The press conference was hastily rescheduled for the following week. Expect surprises, indeed.