Be There: The Gerald A. Meehl Symposium

Highlighting Key Sessions at AMS 2025

A symposium at the 105th Annual Meeting of the American Meteorological Society will honor Gerald (Jerry) Meehl, a nationally and internationally recognized leader in climate dynamics, climate change, climate modeling and Earth system predictability, and present cutting-edge science in his areas of expertise. Meehl is currently a Senior Scientist at the NSF National Center for Atmospheric Research (NCAR), section head of the Climate Change Research Section, and the Principal Investigator/Chief Scientist for the DOE-NCAR Cooperative Agreement To Analyze variabiLity, change and predictabilitY in the earth SysTem (CATALYST) project.

We spoke to Gerald A. Meehl Symposium Co-Chair Aixue Hu, Project Scientist in the Climate and Global Dynamics Lab at NSF NCAR, about the field, Dr. Meehl, and what to expect during the symposium, which takes place Tuesday, 14 January, 2025.

“Jerry is a living, breathing encyclopedia of the history behind the history of climate science.”

–Maria Molina, NSF NCAR/University of Maryland

What can attendees expect from the Symposium?

This symposium will honor Dr. Meehl’s service to the climate research community (including his contributions to the CMIP and IPCC assessment reports); and will highlight the current state of research on climate variability, predictability, and change.

Presentations will discuss topics including extreme events, climate dynamics, marine heat waves, subseasonal to decadal climate prediction and predictability, AI and machine learning in climate research and prediction, and interactions between internal variability and external forcings – along with current modelling efforts and the future directions of model improvements.

Why is this such an important field right now?

The global mean temperature continues to rise, and most of the hottest years on record have appeared in the most recent decade. This change in the mean background climate can result in significant impacts on accurate weather forecasts, and on subseasonal to seasonal to decadal predictions. For example, with a much warmer mean climate, the chance for extreme weather events (heat waves, hurricanes, extreme precipitation) increases. Society benefits from improving our understanding of how this change in mean climate will affect our capability to accurately predict/forecast the weather on shorter timescales, and ENSO and decadal climate modes on longer timescales.  

How would you summarize Jerry Meehl’s impact on the field so far?

Over the years, Jerry has spearheaded several new research directions focused on climate models. For example, his work has greatly advanced our understanding of the global warming slowdown in the early 2000s (the “hiatus”) and explored its predictability. His pioneering 2011 Nature Climate Change paper on this topic was named one of the five most influential papers in the first five years of Nature Climate Change (2016). His work has also been crucial to the study of extreme temperature events, monsoons, and decadal climate variability and predictability.

Jerry chaired the Coupled Model Intercomparison Project (CMIP) Panel under the World Climate Research Program (WCRP) from 1997 to 2007. He led the formulation of the CMIP1 through CMIP3 projects and continued to serve on the panel as it formulated CMIP5 and 6. CMIP1-3 provided the physical science foundation for the Intergovernmental Panel on Climate Change’s (IPCC) AR3 and AR4 reports.

A historic workshop held at Scripps in 1994 convened the global coupled modeling community to help formulate CMIP; Meehl is pictured second from left, in the second row from the bottom; also pictured: Ron Stouffer (4th from left), Karl Taylor (5th from left), Ben Santer 6th from left. Photo courtesy of Gerald Meehl.

Dr. Meehl also chaired the WCRP Working Group on Coupled Models (2004-2013) and the National Academy of Sciences/National Research Council Climate Research Committee (2008-2011), among other prominent national and international committees. He was a contributing, coordinating, or lead author for the IPCC AR1-AR5 reports, and a member of the IPCC science team that was awarded the 2007 Nobel Peace Prize.

Photo: Author team for Chapter 10, “Global Climate Projections,” IPCC Fourth Assessment Report (AR4), Christchurch, NZ, 2005; coordinating lead authors Jerry Meehl and Thomas Stocker are center back. Photo courtesy of Jerry Meehl.

The AMS has recognized Jerry’s scientific contributions to, and leadership in, climate research, awarding him the Jule G. Charney Award in 2009 “for outstanding collaborative contributions to modeling climate and its response to anthropogenic and natural forcings” and the Sverdrup Gold Medal in 2023 “for seminal work integrating observations, models, and theory to understand variability and change in the ocean and atmosphere.” He is also a fellow of AMS since 2006, and of AGU since 2014. He has also been recognized by organizations including Reuters and Web of Science as an influential and very highly cited researcher.

Left photo: Jerry Meehl and Warren Washington awarded the AMS Charney Award, in Phoenix, AZ (2009). Right photo: Group photo of participants in the Warren Washington Symposium at AMS, January 2010, convened by Dave Bader and Jerry Meehl; the only time that “legends of climate modeling” Suki Manabe, Larry Gates, Warren Washington, and Jim Hansen attended the same meeting at the same time. From left:  Kirk Bryan, Suki Manabe, Jerry, Greg Jenkins, Larry Gates, Jane Lubchenco, Steve Schneider, Dave Bader, Warren Washington, John Kutzbach, V. Ramanathan, Jim Hansen, Bert Semtner. Photo credits: American Meteorological Society.

Even as a world famous climate scientist, Jerry is very approachable. He makes himself available to young scientists and gives them unselfish guidance and support. When Jerry was leading the CMIP effort and was lead author for the IPCC assessment reports, his communication skills helped move the CMIP effort forward, and he navigated through differences among lead authors smoothly. Jerry is not only a great scientist, but also a great mentor, communicator, and writer. He has worked with numerous graduate students, post-docs, and junior researchers and left significant impacts on their careers. That includes being my own mentor and role model for over 20 years! 

It might be a surprise to many people, especially the early career scientists, that Jerry is also a writer. He has authored and co-authored six books that grew out of his personal interests in World War II, especially in the Pacific theater. His ability to communicate and relate to others shines through no matter what he does!

The Gerald A. Meehl Symposium will be held Tuesday, 14 January, 2025 at the AMS 105th Annual Meeting, in New Orleans, LA, and online. Learn more about the Symposium and view the program.

Climate and Weather Extremes: Asking the Right Questions

The still-developing field of attribution science examines specific weather events and short-term atmospheric patterns in a broader, longer-term climate context. In such research, communication is key; it’s vital to understand exactly what questions are being asked. A case in point is an article in the July issue of BAMS. “Explaining Extreme Events of 2011 from a Climate Perspective” gives long-term context to some of the significant weather events of 2011 featured in the new State of the Climate, which is also part of the July BAMS.
The authors write:

One important aspect we hope to help promote …is a focus on the questions being asked in attribution studies. Often there is a perception that some scientists have concluded that a particular weather or climate event was due to climate change whereas other scientists disagree. This can, at times, be due to confusion over exactly what is being attributed. For example, whereas Dole et al. (2011) reported that the 2010 Russian heatwave was largely natural in origin, Rahmstorf and Coumou (2011) concluded it was largely anthropogenic. In fact, the different conclusions largely reflect the different questions being asked, the focus on the magnitude of the heatwave by Dole et al. (2011) and on its probability by Rahmstorf and Coumou (2011), as has been demonstrated by Otto et al. (2012). This can be particularly confusing when communicated to the public.

So the new attribution paper in BAMS strives to answer a very specific questions–a series of them, as it turns out, since the paper is actually a collection of a number of studies by different teams, representing several of the cutting-edge approaches to researching attribution in rapid response to the extreme weather. Most of the authors, but not all, seek to answer questions about how global climate change changes odds that extreme events might occur.
Last week, NOAA held a briefing to discuss both the State of the Climate and the new BAMS article. Two coauthors of the article, Tom Peterson of NOAA’s National Climatic Data Center and Peter Stott of the Met Office Hadley Centre, discussed the answers they found. They noted that in some cases, such as the rainfall that caused flooding in Thailand, there was no connection between human activities and the extreme weather. But other events exhibited a clear human influence that increased the possibility of that event occurring. One example is the prolonged heat wave in Mexico and the southwestern United States, which was the region’s hottest and driest growing season on record by a significant margin. The steamy temperatures were connected to the La Niña that was prominent last year, and the study found that such a heat wave is 20 times more likely in La Niña years today than it was in 1960. As the coauthors noted in the briefing, the answer might be completely different in years without a La Niña , pointing out the importance of context–and understanding the questions being asked–in this study.
The State of the Climate itself documents the weather extremes of the recent past and give them context in the historical record. The 282-page peer-reviewed report, compiled by 378 scientists from 48 countries around the world, also provides a detailed update on global climate indicators and other data collected by environmental monitoring stations and instruments on land and ice, at sea, and in the sky. It used 43 climate indicators to track and identify changes and overall trends to the global climate system. These indicators include greenhouse gas concentrations, temperature of the lower and upper atmosphere, cloud cover, sea surface temperature, sea level rise, ocean salinity, sea ice extent, and snow cover. Each indicator includes thousands of measurements from multiple independent datasets.
Among the highlights of this year’s SOC:

  • Warm temperature trends continue: Four independent datasets show 2011 among the 15 warmest since records began in the late nineteenth century, with annually-averaged temperatures above the 1981–2010 average, but coolest on record since 2008. The Arctic continued to warm at about twice the rate compared with lower latitudes. On the opposite end of the planet, the South Pole recorded its all-time highest temperature of 9.9°F on December 25, breaking the previous record by more than 2 degrees.
  • Greenhouse gases climb: Major greenhouse gas concentrations, including carbon dioxide, methane, and nitrous oxide, continued to rise. Carbon dioxide steadily increased in 2011 and the yearly global average exceeded 390 parts per million (ppm) for the first time since instrumental records began. This represents an increase of 2.10 ppm compared with the previous year. There is no evidence that natural emissions of methane in the Arctic have increased significantly during the last decade.
  • Arctic sea ice extent decreases: Arctic sea ice extent was below average for all of 2011 and has been since June 2001, a span of 127 consecutive months through December 2011. Both the maximum ice extent (5.65 million square miles on March 7, 2011) and minimum extent (1.67 million square miles, September 9, 2011) were the second smallest of the satellite era.
  • Ozone levels in Arctic drop: In the upper atmosphere, temperatures in the tropical stratosphere were higher than average while temperatures in the polar stratosphere were lower than average during the early 2011 winter months. This led to the lowest ozone concentrations in the lower Arctic stratosphere since records began in 1979 with more than 80 percent of the ozone between 11 and 12 miles altitude destroyed by late March, increasing UV radiation levels at the surface.
  • Sea surface temperature and ocean heat content rise: Even with La Niña conditions occurring during most of the year, the 2011 global sea surface temperature was among the 12 highest years on record. Ocean heat content, measured from the surface to 2,300 feet deep, continued to rise since records began in 1993 and was record high.
  • Ocean salinity trends continue: Continuing a trend that began in 2004, and similar to 2010, oceans were saltier than average in areas of high evaporation, including the western and central tropical Pacific, and fresher than average in areas of high precipitation, including the eastern tropical South Pacific, suggesting that precipitation is increasing in already rainy areas and evaporation is intensifying in drier locations.

The report also provides details on a number of extreme events experienced all over the globe, including the worst flooding in Thailand in almost 70 years, drought and deadly tornado outbreaks in the United States, devastating flooding in Brazil and the worst summer heat wave in central and southern Europe since 2003.
 

If Climate Isn't Stable, Are We?

by William Hooke, AMS Policy Program Director
a portion of a series of essays from the AMS Project, Living on the Real World
In a short period of time (say, one or two hundred years), the human race has greatly grown in total numbers; has radically increased its per capita use of resources of every type; and has accelerated the rate of social change and scientific and technological advance.
In a short period of time? In science, a statement like that invites, maybe even demands a comparative. Short compared with what? Now you and I might look at this and say, “Well, a couple of hundred years is short compared with the age of the Earth itself, or with the ten thousand years of human civilization.” But here’s an additional list: Human success has occurred in a time short compared with

  • time scales of (“major”) climate variability;
  • the recurrence interval for natural extremes;
  • the time required for the emergence of unintended consequences;
  • the time required to prove we can “keep it up;”
  • the time required for the implications of our success to sink in.

Each of these realities enables us to make a prediction about a different aspect of our future. Let’s look at the first: time scales of (“major”) climate variability
In the climate-change debate, much has been made of this, by both sides. The Earth’s climate has at times over the past few billion years been at times much colder, and at other times much hotter, than it is today. But during the last two hundred years, the time of this extraordinary human success, climate has been fairly stable.
If climate hadn’t been so stable during this period, then we might not even have the word “climate” in our vocabulary. We wouldn’t think the concept was useful! And arguably, we might have been better off! Think a little bit about this. Suppose you’re in a job where you directly see the impact of weather on your labors. Such jobs are in the minority these days, but they matter – a lot. Take farming. To oversimplify: you want to base your decisions throughout the year on the weather – what to plant, when to plant, when to water, when to apply pesticides and fertilizers, when to harvest. But you have to make many of these decisions based on a time horizon much greater than any useful weather forecast.
Then it occurs to you. Although the weather is variable year to year, these variations occur around a set of average conditions: the average last frost of the spring, the average spring rain, the average summer temperature and sunlight, the average first frost of the fall, etc. So you go with that, and it helps. Then, as you start looking into it more closely, you realize that the average you calculate depends upon how many years you include in the calculation: do it for the past ten years, and you get one set of answers. Do it for the past twenty and you get another. Do it for ten years, but for a different ten years, and you get another answer still. Your head starts to spin…
Meanwhile, over this same period of 200 years, while the human race has been on a roll, scientists have made some remarkable discoveries. They started looking hard at glaciers and the landscapes around them and discovered that ice, as much as a mile thick once covered much of the Earth, as recently as 10,000-20,000 years ago. Whoa! And they discovered looking back that at times the entire Earth must have felt tropical – that it was hot and steamy pretty much everywhere. Who knew? So the reality is that the Earth and its atmosphere and its weather are resolutely variable, on all time and space scales. From the standpoint of coping with climate variability and change of whatever cause, we might be better off simply asking questions like: how and in what ways are temperature and rainfall patterns, etc., likely to change over the next few hours? The next few days? The next few centuries? We’d be making no artificial distinctions between weather and climate (certainly nature doesn’t draw any such line of demarcation). Scientists are working hard on all this! The stakes of getting the right answers for the right reasons couldn’t be higher.
In any event, for the past two hundred years, the climate has been remarkably stable. This narrow range of climate variability hasn’t challenged us so greatly. Humanity has been able to take the easy way out. We have tuned our decisions and actions in weather-sensitive sectors like agriculture, water resource management, energy-demand, transportation etc., to a rather narrow range of climatic variables. And we’ve been lucky! It’s worked so far.
But we know from the science that climate is constantly changing, in part just because of the nature of the atmosphere and oceans, but in part because we’re tinkering. We’re taking all that carbon that plant life took out of that tropical atmosphere from millions of years ago and deposited into sediments – and we’re burning it and putting it back into the atmosphere. It’s looking like our winning streak is about to play out.
This leads to a prediction: The future will be characterized by adverse climate shifts. We don’t know exactly how much, and we don’t know when. But we do know this. We won’t like them! We’ll view them as unfavorable. Why? How do we know they won’t be to our liking? Because we have tuned our climate sensitive activities – our human settlement and water use, our agriculture, our energy production and use, and many other aspects of our daily lives – to a narrow range of climate conditions.
Note that this disaffection will be true whichever way the climate changes. When and where it gets wetter, we’re going to wish it were drier (I planted wheat instead of corn. I wish I’d planted corn!). Where it gets hotter, we’re going to wish it were cooler (ski season in Colorado is shorter than it used to be; I invested in my resort hotel at just the wrong time). Where it gets cooler, we’re going to wish it were warmer (Brr! My condominium heat pump here in Georgia isn’t up to this cold snap). When things dry up, we’ll long for the moisture (our hydroelectric power in the Pacific northwest is no longer meeting as much of our energy needs).