Program on Mathematical and Statistical Methods for Climate and the Earth System (CLIM)

From the point of view of societal impacts, climate change remains one of the most pressing issues of our time. The fifth report of the Intergovernmental Panel on Climate Change (IPCC) included stronger statements than ever before about the likelihood of human influence as the dominant driver of climate change, on the increasing frequencies and intensities of extreme events, the likely rise in sea level over the next century, and the human health impacts of climate change. More speculative, but still important, scenarios include the possibility of abrupt climate change through various mechanisms such as disruption to the Atlantic Meridional Overturning Circulation, the destabilization of the West Antarctic Ice Sheet, and late summer Arctic ice disappearance (these topics form the core of the recent National Research Council report on Abrupt Climate Change). However, while the basic scientific facts of climate change are very widely accepted, many issues of quantifying expected effects, and even more so, theuncertainties associated with those effects, remain unsettled in many cases. Moreover, there has been increasing involvement of mathematicians and statisticians, working in conjunction with climate scientists, to resolve many of these more quantitative issues.

This SAMSI program will study the interrelations among climate data, climate models and impacts with a view towards projecting future climate change and its impact on earth systems and the human population. A tentative list of Working Groups for this program include:

  1. Remote Sensing: Amy Braverman (JPL) and Jessica Matthews (NCEI/CICS)
  2. Parameter Estimation: Peter Challenor (Exeter)
  3. Data Assimilation: Chris Jones (UNC) and Erik Van Vleck (Kansas)
  4. Data Analytics: Doug Nychka (NCAR) and/or Vipin Kumar (Minnesota)
  5. Climate Prediction: Leonard Smith (London School of Economics)
  6. Extremes: Dan Cooley (Colorado State) and Richard Smith (UNC)
  7. Stochastic Parameterizations: Adam Monahan (Victoria)
  8. Climate and Health: Brian Reich (NCSU)
  9. Food Systems: Hans Kaper (Georgetown) and Mary Lou Zeeman (Bowdoin)
  10. Ice Dynamics: Chris Jones (UNC) , Alberto Carrassi (NERSC), Murali Haran (Penn State)
  11. Detection and Attribution: Dorit Hammerling (NCAR) and Matthias Katzfuss (Texas A&M)
  12. Risk and Coastal Hazards: Brian Blanton (RENCI), Slava Lyubchich (Maryland), Richard Smith (UNC)
  13. Statistical Oceanography: Michael Stein (University of Chicago) and Mikael Kuusela (SAMSI)

Supporting Media

CLIM Poster Download

Questions: email

To see more information on research and other opportunities, visit the links below:

Visiting Research Fellows

Post-Doctoral Fellows

Participation in Workshops