Geological Data Fusion: Tackling the Statistical Challenges of Interpreting Past Environmental Change
An interdisciplinary workshop held
Supported by DIMACS, the
Center for Discrete Mathematics and Theoretical Computer Science.
at Rutgers University, Thursday-Friday, January 17-18, 2013
The geological records of ancient environmental change provide
crucial archives for testing models of Earth system behavior,
including those used to project ongoing and future global change. Yet
the archives pose many statistical challenges. The data sources are
noisy, diverse, and full of gaps. The locations and ages of
observations are controlled in part by natural processes. Indeed, the
ages of observations are themselves known only through noisy and
diverse measurement techniques. This workshop will focus on
statistical approaches to overcoming these challenges and making
inferences about the Earth's past environments, bringing together
Earth scientists, statisticians, applied mathematicians and computer
scientists to address these issues.
Major Workshop Themes:
Paleo-temperature & inference about climate sensitivity
Martin Tingley and Julia Hargreaves, Gavin Schmidt, Bala Rajaratnam and Nathan Urban
Paleo-sea level & inference about ice sheet stability
Speakers: Ben Horton and Bob Kopp, Patrick Applegate,
Gary Mitchum and Vivien Gornitz
Paleo-climate & paleo-ecological inference
Chris Paciorek and Jessica Tierney, Kevin Anchukaitis and Mike Dietze
Paleo-environmental reconstructions & the character of the sedimentary record
Shanan Peters and Rina Schumer, Jane Willenbring
Spectral analysis & the identification of climatic pacemakers
David Thomson and Linda Hinnov, Jeffrey Park and Stephen Meyers.
(web version, made by Georgette Chalker)
Bob Kopp and Frederik J. Simons
Official Website with registration, transportation and other information.
Last modified: Fri Aug 3 09:53:53 EDT 2018