Geological Data Fusion: Tackling the Statistical Challenges of Interpreting Past Environmental Change

An interdisciplinary workshop held
at Rutgers University, Thursday-Friday, January 17-18, 2013

Supported by DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science.
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

Speakers: 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

Speakers: Chris Paciorek and Jessica Tierney, Kevin Anchukaitis and Mike Dietze

Paleo-environmental reconstructions & the character of the sedimentary record

Speakers: Shanan Peters and Rina Schumer, Jane Willenbring

Spectral analysis & the identification of climatic pacemakers

Speakers: David Thomson and Linda Hinnov, Jeffrey Park and Stephen Meyers.
Workshop Abstracts
Workshop Schedule
Workshop Poster (web version, made by Georgette Chalker)
Organizers: Bob Kopp and Frederik J. Simons

Official Website with registration, transportation and other information.

Frederik Simons
Last modified: Fri Aug 3 09:53:53 EDT 2018