Climate Informatics

Overview:


The threat of climate change is one of the greatest challenges currently facing society.  Given the profound impact machine learning has made on the natural sciences to which it has been applied, such as the field of bioinformatics, we are forging collaborations between machine learning and climate science, in order to accelerate progress in answering pressing questions in climate science.  Dr. Monteleoni, a machine learning researcher with a background in Earth & Planetary Sciences, is committed to creating this new field, climate informatics.  Our recent progress on climate informatics reveals that collaborations with climate scientists also open interesting new problems for machine learning.


There are a myriad of collaborations possible, at the intersection of these two fields.  We encourage both machine learning researchers and climate scientists to consider collaborations in climate informatics.  Our group is actively working on several such projects.  The Tracking Climate Models project has produced encouraging results that have recently been presented at impactful machine learning and climate science venues.  For more information, or to get involved, please contact us.


See this article about our research in Planet Forward!


Wiki: For more information and materials, including data sets, tutorials, and workshop information, please see the (new) Climate Informatics wiki.


Workshops:

  1. Bullet  Climate Informatics 2015: Climate Informatics turns 5 this year! Please stay tuned....

  2. Bullet  Climate Informatics 2014: September 25-26, National Center for Atmospheric Research (NCAR), Boulder, CO.

  3. Bullet  Climate Informatics 2013: September 26-27, National Center for Atmospheric Research (NCAR), Boulder, CO.

  4. Bullet  Climate Informatics 2012: September 20-21, National Center for Atmospheric Research (NCAR), Boulder, CO.

  5. Bullet  The First International Workshop on Climate Informatics: August 26th 2011, at the New York Academy of Sciences, New York, NY.


Publications and conference/workshop presentations (by our group):

  1. Bullet  C. Tang and C. Monteleoni, “Detecting Extreme Events from Climate Time-Series via Topic Modeling,” In The Fourth International Workshop on Climate Informatics, The National Center for Atmospheric Research, 2014. Oral and poster presentation by Tang.

  2. Bullet  “Climate Change: Challenges for Machine Learning,” Invited tutorial at NIPS 2014. Oral presentation by Banerjee and Monteleoni.

  3. Bullet  “Machine Learning Techniques for Combining Multi-Model Climate Projections,” Invited talk, New Approaches for Pattern Recognition and Change Detection, session at American Geophysical Union (AGU) Fall Meeting, 2013. Oral presentation by Monteleoni.

  4. Bullet  S. McQuade and C. Monteleoni, “MRF-Based Spatial Expert Tracking of the Multi-Model Ensemble,” in New Approaches for Pattern Recognition and Change Detection, session at American Geophysical Union (AGU) Fall Meeting, 2013. Oral presentation by McQuade.

  5. Bullet  M. Ghafarianzadeh and C. Monteleoni, “Climate Prediction via Matrix Completion,” in Workshop on Machine Learning for Sustainability, NIPS 2013.  Poster presentation by Ghafarianzadeh.

  6. Bullet  M. Ghafarianzadeh and C. Monteleoni, “Climate Prediction via Matrix Completion,” in Workshop for Women in Machine Learning (WiML), collocated with NIPS 2013.  Poster presentation by Ghafarianzadeh.

  7. Bullet  “Climate Informatics: Recent Advances and Challenge Problems for Machine Learning in Climate Science,” Invited talk, Discovery Informatics: AI Takes a Science-Centered View on Big Data, AAAI Fall Symposium
    Series, 2013. Oral presentation by Monteleoni.

  8. Bullet  C. Monteleoni, G. A. Schmidt, and S. McQuade, “Climate Informatics: Accelerating Discovery in Climate Science with Machine Learning,” IEEE Computing in Science and Engineering (CISE) Magazine, Special Issue on Machine Learning. Sept.–Oct. 2013 (vol. 15 no. 5) pp. 32–40, 2013. Invited.

  9. Bullet  “Machine Learning Techniques for Combining Multi-Model Climate Projections,” Invited talk, The Third International Workshop on Climate Informatics, The National Center for Atmospheric Research, 2013. Oral presentation by Monteleoni.

  10. Bullet  S. McQuade and C. Monteleoni, “MRF-Based Spatial Expert Tracking of the Multi-Model Ensemble,“ The Third International Workshop on Climate Informatics, The National Center for Atmospheric Research, 2013. Poster presentation by McQuade.

  11. Bullet  M. Ghafarianzadeh and C. Monteleoni, “Climate Prediction via Matrix Completion,” The Third International Workshop on Climate Informatics, The National Center for Atmospheric Research, 2013. Poster presentation by Ghafarianzadeh.

  12. Bullet  M. Ghafarianzadeh and C. Monteleoni, “Climate Prediction via Matrix Completion” to appear in the Late-Breaking Papers Track, at the Twenty-Seventh Conference on Artificial Intelligence (AAAI), lightning oral and poster presentation by Ghafarianzadeh, Bellevue, WA, July 2013.

  13. Bullet  C. Monteleoni, G.A. Schmidt, F. Alexander, A. Niculescu-Mizil, K. Steinhaeuser, M. Tippett, A. Banerjee, M.B. Blumenthal, A.R. Ganguly, J.E. Smerdon, and M. Tedesco, “Climate Informatics,” to appear in Computational Intelligent Data Analysis for Sustainable Development; Data Mining and Knowledge Discovery Series. Yu, T., Chawla, N., and Simoff, S. (Eds.), CRC Press, Taylor & Francis Group. Chapter 4, pp. 81–126, 2013. Invited.

  14. Bullet  S. McQuade and C. Monteleoni, “Global Climate Model Tracking using Geospatial Neighborhoods,” In The Second International Workshop on Climate Informatics, The National Center for Atmospheric Research, 2012. Poster and spotlight oral presentation by McQuade.

  15. Bullet  S. McQuade and C. Monteleoni, “Global Climate Model Tracking using Geospatial Neighborhoods,” in the Computational Sustainability and AI Special Track, at the Twenty-Sixth Conference on Artificial Intelligence (AAAI), oral and poster presentation by McQuade, Toronto, July 2012.

  16. Bullet  S. McQuade and C. Monteleoni, “Global Climate Model Tracking using Geospatial Neighborhoods,” in poster presentation by McQuade, The Learning Workshop (Snowbird), April 2012. 

  17. Bullet  “Climate Informatics,” Invited talk, Workshop on Machine Learning for Sustainability, oral presentation by Monteleoni, NIPS 2011.

  18. Bullet  C. Monteleoni, G. Schmidt, S. Saroha, and E. Asplund, “Tracking Climate Models” in Journal of Statistical Analysis and Data Mining: Special Issue on Best of CIDU 2010, Volume 4, Issue 4, pp. 72–392, August 2011. Invited.

  19. Bullet  “Tracking Climate Models:  Advances in Climate Informatics,” Invited talk, The Second IEEE ICDMWorkshop on Knowledge Discovery from Climate Data: Prediction, Extremes, and Impacts, The 10th IEEE International Conference on Data Mining (ICDM), oral presentation by Monteleoni, Sydney, Australia , December 2010.

  20. Bullet  C. Monteleoni, G. Schmidt, and S. Saroha, “Tracking Climate Models”  In NASA Conference on Intelligent Data Understanding (CIDU), oral presentation by Monteleoni, October 2010.  Awarded Best Application Paper.

  21. Bullet  C. Monteleoni, S. Saroha, and G. Schmidt, “Tracking Climate Models”  In The Learning Workshop, oral presentation by Monteleoni, Snowbird, April 2010.

  22. Bullet  C. Monteleoni, S. Saroha, and G. Schmidt, “Can machine learning techniques improve forecasts?”  In Intergovernmental Panel on Climate Change (IPCC) Expert Meeting on Assessing and Combining Multi Model Climate Projections, poster presentation by Schmidt, Boulder, January 2010.

  23. Bullet  C. Monteleoni, S. Saroha, and G. Schmidt, “Tracking Climate Models”  In Temporal Segmentation: Perspectives from Statistics, Machine Learning, and Signal Processing, Workshop at Neural Information Processing Systems, poster presentation by Saroha, Vancouver, December 2009.              


Sponsors (past and present):

  1. Bullet  National Science Foundation (multiple grants linked here).

  2. Bullet  The Earth Institute, Columbia University

  3. Bullet  LDEO/GISS Climate Center

  4. Bullet  Information Science and Technology Center, Los Alamos National Laboratory

  5. Bullet  Department of Statistics, Columbia University

  6. Bullet  The New York Academy of Sciences

  7. Bullet  NEC Labs America

  8. Bullet  Yahoo! Research

  9. Bullet  National Center for Atmospheric Research (NCAR)

  10. Bullet  The Climate Corporation

  11. Bullet  Cray Inc.