Climate Informatics

Below are reports and videos from a RECENT workshop highly relevant to this community:
Big Data and the Earth Sciences: Grand Challenges Workshop
May 31 - June 2, 2017 @ UC San Diego

The Faculty of Arts and Science at the University of Toronto invites applications for a joint tenure-stream appointment in the Department of Computer Science (51%) and the School of the Environment (49%) in the area of Sustainability and Climate Informatics. The appointment will be at the rank of Assistant Professor and will begin on July 1, 2018.

Job posting and application material: https://academicjobsonline.org/ajo/jobs/9630
Review of applications will begin after November 30, 2017.

Large-Scale Machine Learning in the Earth Sciences (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Editors: Ashok N. Srivastava, Ramakrishna Nemani, Karsten Steinhaeuser
Short description:
Compilation of recent research in machine learning applied to earth sciences. 9 chapters, each written by experts in the field.

19th Annual Conference of the International Association for Mathematical Geosciences (IAMG2018)
(50th anniversary of the Association)

4-8 September 2018, Olomouc, Czech Republic
http://www.iamg2018.org/

Research Fellowship in Computer Vision for Palaeoceanography, U. Southampton, UK
Location: National Oceanography Centre Southampton
Closing Date: Thursday 19 October 2017
Interview Date: Tuesday 07 November 2017

For more information and to apply, go to https://jobs.soton.ac.uk/Vacancy.aspx?ref=890017HN-R

1) Environmetrics - SPECIAL ISSUE on CLIMATE INFORMATICS
Guest co-editors: Sam Shen (SDSU), Vyacheslav Lyubchich (UMCES), Andrew Rhines (UW)
Submission deadline: 15 January 2018
For questions contact Slava Lyubchich, lyubchich@umces.edu

1) Pangeo Data: https://pangeo-data.github.io/
A community effort for big data geoscience:
Our mission is to cultivate an ecosystem in which the next generation of open-source analysis tools for ocean, atmosphere and climate science can be developed, distributed, and sustained.

2) Remote Sensing Code Library (RSCL): https://rscl-grss.org/
Free online registry of software codes of interest to remote sensing scientists and engineers
IEEE Geoscience and Remote Sensing Society

New Journal of interest to the CI Community:
Dynamics and Statistics of the Climate System - An Interdisciplinary Journal
https://academic.oup.com/climatesystem

Nature news: How machine learning could help to improve climate forecasts
Published: Aug 23, 2017
http://www.nature.com/news/how-machine-learning-could-help-to-improve-cl...

This year's AGU Fall meeting will host several special sessions of interest to the CI community.

ID#: 24753
Intelligent Systems for Geosciences: Accelerating Discovery and Building Community
Conveners: Mariana Güereque, Sai Ravela, Deana D Pennington and Anuj Karpatne

ID#: 23549
Applications of Machine Learning, Deep Learning, Data Mining, and Informatics in Climate, Weather, and the Geosciences.
Conveners: David Matthew Hall, Matthew R Norman.