Climate Informatics

The Geoscience Papers of the Future (GPF) is an initiative to encourage geoscientists to publish papers together with the associated digital products of their research.
See http://www.ontosoft.org/gpf/ for information on upcoming training sessions and a special section of the AGU Earth and Space Science journal that will highlight GPFs..

Machine Learning and Data Mining Approaches to Climate Science
Selected papers from the 4th International Workshop on Climate Informatics (CI 2014)
Website: To order/download click here.
Academic prices (Sept 1, 2015): eBook (in color): free. (Softcover - caution: black&white): $25).
(Academic prices are available when going to the above site from a university with springer subscription.)

Columbia University's Data Science Institute and Lamont-Doherty Earth Observatory seek a postdoctoral investigator interested in studying oceanic sub-mesoscale processes and the spatial heterogeneity of marine phytoplankton visible in satellite imagery. This cross-disciplinary research project will apply Bayesian machine learning techniques to satellite observations in order to infer unknown physical and ecosystem parameters, with tlhe goal of improving understanding of submesoscale physics and biology. The position will be jointly supervised by Profs.

When: Saturday, September 26th, all day
Where: National Center for Atmospheric Research, NCAR Mesa Lab, Boulder, Colorado
Website with all details: https://www2.cisl.ucar.edu/events/ci2015/ci2015-hackathon
Read on for more details below.

Title: A New Look at Climate Diagnosis and Modeling in the Era of Climate Informatics

Update (6-16-2015): Abstract submission is NOW OPEN for this session!
Submission deadline: August 5, 2015.

Official weblink at AGU: https://agu.confex.com/agu/fm15/preliminaryview.cgi/Session7924

What: Climate Informatics Hackathon
Date: June 16, 2015
Location: Université Paris-Saclay (Paris, France)
Data: TAS data simulated by the CCSM4 model.
Task: Predict the temperature at surface (TAS) in the El Niño 3.4 region six months ahead.
This event was coordinated by Balázs Kégl (CNRS), Claire Monteleoni (GWU), Mahesh Mohan (GWU), Timothy DelSole (COLA), Kathleen Pegion (COLA), Julie Leloup (UPMC), Alex Gramfort (LTCI).

Video Tutorial -- Climate Change: Challenges for Machine Learning
Speakers: Arindam Banerjee and Claire Monteleoni
Conference: NIPS 2014 (Neural Information Processing Systems)
Great intro to machine learning applications in climate science (2 hour length).
Links: Video
Video Duration: 2 hours

CALL FOR PAPERS
Computing in Science & Engineering Magazine
Special Issue on Computing in Climate: Challenges and Opportunities
Deadline for white paper: March 31, 2015