Registration & Opening

Jim Hurrell, National Center for Atmospheric Research
Keynote: Climate Predictions and Projections in the Coming Decades: Uncertainty due to Natural Variability

Vipin Kumar, University of Minnesota
Introduction to the NSF Expeditions in Computing on Understanding Climate Change: A Data Driven Approach

Auroop Ganguly, Northeastern University
Informing Climate Adaptation with Big Data and Bigger Models

Break

Noah Diffenbaugh, Stanford University
Quantifying the influence of global warming on the likelihood of unprecedented extreme climate events

Arindam Banerjee, University of Minnesota
Estimating High-Dimensional Dependencies: Applications to Multi-task Learning for Combining Climate Model Outputs

Timothy Del Sole, George Mason University
Using Climate Models to Constrain Learning Algorithms

Break

James Faghmous, University of Minnesota
Monitoring Mesoscale Ocean Eddies from Space: A Theory-guided Data Mining Perspective

Stefan Liess, University of Minnesota
Different modes of variability over the Tasman Sea

Nagiza Samatova, North Carolina State University
Modulatory Networks for Climate Extremes

Poster Session and Dinner

Warren Washington, National Center for Atmospheric Research
Keynote:Future Development of Climate and Earth Systen Models and their Data Needs

Dimitris Giannakis, New York University
Extraction and predictability of Madden-Julian oscillation signals in infrared brightness temperature data

Clara Deser, National Center for Atmospheric Research
Unforced versus forced climate trends over North America

Break

Ghassem R. Asrar, University of Maryland
The Role of Data in Integrated Human-earth Systems Modeling and Assessment

Ramakrishna Nemani, NASA-Ames
NASA Earth Exchange (NEX): Collaborative computing for global change science

Forrest Hoffman, ORNL and University of California-Irvine
Representativeness-based Sampling Network Design for NGEE and Identifying Phenoregions for the Conterminous U.S.

Lunch Break

Nikunj Oza, NASA, Ames
Data Mining for Earth Science at NASA

Abdollah Homaifar, North Carolina Agricultural & Technical University
Multiple linear trend analysis for non-stationary climatic time series

Allison Baker, National Center for Atmospheric Research
Evaluating the Impact of Data Compression on Climate Simulation Data

Break

Bala Rajaratnam, Stanford University
A Methodology for Robust Multiproxy Paleoclimate Reconstructions

Wei Ding, University of Massachusetts, Boston
A Data-driven Machine Learning Framework for Long-lead Flood Forecasting

Ansu Chatterjee, University of Minnesota
A study of mixed-source variability and dependence in precipitation data over India

Richard Rood, University of Michigan, Ann Arbor
Climate Informatics: Human Experts and the End-to-End System

Reception

Kevin Trenberth, National Center for Atmospheric Research
Keynote: Climate Change: It's about the data isn't it?

Imme Ebert-Uphoff, Colorado State University
Weakening of atmospheric information flow in a warming climate- preliminary results

Break

Panel Discussion: Data Science and Climate Science: Narrowing Gaps

Lawrence Buja, National Center for Atmospheric Research
Alicia Karspeck, National Center for Atmospheric Research
Richard Loft, National Center for Atmospheric Research
Linda Mearns, National center for Atmospheric Research
Srini Parthasarathy, Ohio State University
Stephan Sain, National Center for Atmospheric Research
Shashi Shenkar, University of Minnesota
Claudia Tebaldi, National Center for Atmospheric Research

Moderator: Doug Nychka, National Center for Atmospheric Research

Closing Remarks