Climate Informatics

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.  A research abstract and a list of recent presentations appears here.

For more information, or to get involved, please contact us.

Dr. Monteleoni and co-authors win Best Application Paper Award at CIDU 2010

 

CCLS researcher, Claire Monteleoni, and her co-authors, Gavin Schmidt, and Shailesh Saroha, were awarded Best Application Paper at the NASA Conference on Intelligent Data Understanding (CIDU) 2010, for their paper, "Tracking Climate Models," which uses machine learning to combine the predictions of 20 global climate models.

 

 

Dr. Monteleoni awarded Earth Institute funding for research on Climate Informatics

 

CCLS researcher, Claire Monteleoni, and her collaborator Gavin Schmidt, were awarded funding by Columbia University's Earth Institute, for their research on Climate Informatics.  The funding will support an undergraduate research assistant on the project.

 

 

 

 

CCLS research to inform the Intergovernmental Panel on Climate Change (IPCC)

CCLS researcher Dr. Claire Monteleoni and student Shailesh Saroha are collaborating with NASA climate modeler Dr. Gavin Schmidt, on a project that Dr. Schmidt will present this month at the IPCC Expert Meeting on Assessing and Combining Multi Model Climate Projections. The IPCC, established by the United Nations in 1988, received the Nobel Peace Prize in 2007, shared with Al Gore.

Goal: 
Forge collaborations between machine learning and climate science, in order to accelerate progress in answering pressing questions in climate science.
Project Twiki link: 
https://power.ldeo.columbia.edu/twiki/bin/view/Main/ClimateInformatics
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