2017 Climate Informatics Workshop

workshop
Sep. 20 to Sep. 22, 2017

10:30 am – 5:30 pm MDT

NCAR Mesa Lab

To view the Proceedings from the 7th International Workshop on Climate Informatics, please click HERE.

About Climate Informatics

We have greatly increased the volume and diversity of climate data from satellites, environmental sensors and climate models in order to improve our understanding of the climate system. However, this very increase in volume and diversity can make the use of traditional analysis tools impractical and necessitate the need to carry out knowledge discovery from data. Machine learning has made significant impacts in fields ranging from web search to bioinformatics, and the impact of machine learning on climate science could be as profound. However, because the goal of machine learning in climate science is to improve our understanding of the climate system, it is necessary to employ techniques that go beyond simply taking advantage of co-occurence, and, instead, enable increased understanding. 

The Climate Informatics workshop series seeks to build collaborative relationships between researchers from statistics, machine learning and data mining and researchers in climate science.  Because climate models and observed datasets are increasing in complexity and volume, and because the nature of our changing climate is an urgent area of discovery, there are many opportunities for such partnerships.

Climate informatics broadly refers to any research combining climate science with approaches from statistics, machine learning and data mining. The Climate Informatics workshop series, now in its fifth year, seeks to bring together researchers from all of these areas. We aim to stimulate the discussion of new ideas, foster new collaborations, grow the climate informatics community, and thus accelerate discovery across disciplinary boundaries. The format of the workshop seeks to overcome cross-disciplinary language barriers and to emphasize communication between participants by featuring tutorials, invited talks, panel discussions, posters and break-out sessions. We invite all researchers interested in learning about critical issues and opportunities in the field of climate informatics to join us, whether established in the field or just starting out.

Invited Speakers: 

1. Alexis Hannart, Ouranos

2. Robert Lund, Clemson University

3. Elisabeth Moyer, University of Chicago

4. Prabhat, Lawrence Berkeley National Laboratory

5. Sai Ravela, MIT

The conference logo image is courtesy of Michael Tippett. Colors show deviations of sea-surface temperatures from their climatological values in the equatorial Pacific from January 1997 to April 2000 with time going counter-clockwise.

Sponsored By:

NCAR Logo

National Science Foundation Logo

STATMOS Logo

ELSEVIER Logo

NVIDIA Logo

Hackathon

The CI2017 Hackathon will be held on September 20th, prior to the start of the workshop. We encourage all workshop participants to attend the Hackathon. The format will be similar to the CI2015 and CI2016 Hackathons.

The Hackathon will be run using the RAMP tool developed by the Paris-Saclay Center for Data Science.

The goal for the CI2017 Hackathon will be to predict the amount of rainfall in northern California from December through February given monthly averaged atmospheric fields from the previous November. To prepare for the Hackathon, please download the GitHub repository here. Attendees should bring their own laptop and follow the setup instructions to ensure that they have a functioning Python environment. To get a head start, try out the "Starting Kit" ipython notebook. The starting kit notebook is subject to change leading up to the Hackathon. Please check the Github page for the latest updates.

Please see the Agenda for logistics, and contact David John Gagne II with any questions you have about the starting kit.

Organizing Committee

Workshop Co-Chairs:

Andrew Rhines, University of Washington

Slava Lyubchich, University of Maryland Center for Environmental Science

Program Committee Co-Chairs: 

Nikunj C. Oza, NASA

Eniko Szekely, New York University

Hackathon Chair

David John Gagne II, NCAR

Publicity and Publications Chair:

Erich Seamon, University of Idaho

Travel and Budget Chair:

Mohammad Gorji, Syntelli Solutions Inc.

Steering Committee:

Imme Ebert-Uphoff, Colorado State University

Claire Monteleoni, George Washington University

Doug Nychka, National Center for Atmospheric Research

Program Committee:

Wei Ding, University of Massachusetts Boston

Yulia Gel, University of Texas Dallas

Mohammad Gorji, Syntelli Solutions Inc.

Sara Graves, University of Alabama

Vipin Kumar, University of Minnesota

Stefan Liess, University of Minnesota

Nikunj Oza, NASA

Brian Smoliak, WindLogics

Eniko Szekely, New York University

Pierre Tandeo, IMT-Atlantique

Martin Tingley, Netflix

Local Administrative Support:

Michelle Patton, NCAR

Cecilia Banner, NCAR