4th International Workshop on Climate Informatics

25.09 - 26.09.2014
Boulder, Colorado

Hosted by the National Center for Atmospheric Research, Boulder, Colorado



The amount of observational and model-simulated data within the climate sciences has grown at an accelerating rate since the early 1980s. The increasing amount of available data creates many opportunities for researchers in machine learning and statistics to partner with climate scientists in the development of new methods for interdisciplinary knowledge discovery.

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 third 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. The programs of previous workshops can be found here (CI 2012, CI 2011). 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.


This year we are very pleased to again be offering travel fellowships . Anyone who submits a poster abstract is eligible; fellowships will be awarded competitively upon review of the submitted abstracts. Preference will be given to students. Please indicate with your submission whether you wish to be considered for a travel fellowship.


We encourage submissions on topics anywhere at the interface of climate science and machine learning, statistics, data mining, or related fields. Reviews, position papers, and works in progress, are also encouraged. The workshop does not have archival proceedings, therefore previously published work, or work in parallel submission, is also allowed. Topics include but are NOT limited to:

   Machine learning, statistics, or data mining, applied to climate science

   Management and processing of large climate datasets .Long and short-term climate prediction

   Ensemble characterization of climate model projections. Past paleo)climate reconstruction

   Uncertainty quantification .Spatio-temporal methods applied to climate data

   Time series methods applied to climate data

   Methods for modeling, detecting and predicting climate extremes

   Climate change attribution

   Dependence and causality among climate variables

   Detection and characterization of climate teleconnections

   Data assimilation

   Climate model parameterizations

   Hybrid methods


Friday, July 25, 2014 - Poster abstracts due

Friday, August 15, 2014 - Author notification

Friday, August 15, 2014 - Travel fellowship notification

Friday, September 5 2014 - Revised abstracts due

Thursday-Friday, September 25-26, 2014 - Workshop takes place at NCAR, in Boulder, CO


Please submit a short (1-2 page) abstract, using the template and guidelines provided at: