New book - Selected papers from CI 2014

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.)

Postdoctoral position in climate informatics

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.

Climate Informatics Hackathon - Sept 26, 2015

When: Saturday, September 26th, all day
Where: National Center for Atmospheric Research, NCAR Mesa Lab, Boulder, Colorado
Website with all details:
Read on for more details below.

Special Session at AGU 2015 Fall meeting

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:

Recent CI Hackathon

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).

Tutorial on Climate Informatics

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

Collection of Climate datasets

A collection of several different data sets from climate data, ready to be used for machine learning.
Courtesy of Yan Liu's research group at USC.

This is part of the collection of data sets on this site (see the "Data sets" menu item on the left).

Call for papers - Special issue on "Computing in Climate: Challenges,and Opportunities"

Computing in Science & Engineering Magazine
Special Issue on Computing in Climate: Challenges and Opportunities

Deadline for white paper: March 31, 2015

Data sets from Climate Informatics Wiki

The Climate Informatics Wiki contains materials on Machine Learning, Climate Science, climate data sets and descriptions, and challenge problems:
Materials Section of Climate Informatics Wiki

To go directly to the data sets and challenge problems, click here:
Data Sets and Challenge Problems

Collection is courtesy of Claire Monteleoni.


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