Interested in machine learning and advanced statistical methods with applications to Earth system data? Please join us at the upcoming AGU Fall Meeting 2018 for our session “Climate Informatics: Methods and Applications” (https://agu.confex.com/agu/fm18/prelim.cgi/Session/50877).
The conference runs Monday to Friday 10-14 December 2018, Washington DC, USA.
Over the last decades, the magnitude and complexity of climate and biogeochemical data from satellite sensors, stations, and climate models has substantially increased. This is starting to overwhelm the relatively simple tools and methods currently used to analyze the data. On the other hand, recent developments in machine learning have led to powerful new methods which promise to yield novel insights – if they properly cope with the particular challenges of such data. The new field of Climate Informatics could contribute to substantially enhance our understanding of the Earth system and confidence in future climate projections. This session invites contributions of new statistical and machine learning methodology including (but not limited to) causal discovery, deep learning, probabilistic and Bayesian inference, computer vision, and advanced model-data integration applied to Earth system models and observations.
The early abstract submission deadline is Wednesday 25th July 2018, and final deadline is Wednesday 1st August 2018.
Instructions and abstract submissions:
Please feel free to forward this email to any mailing lists you think may be appropriate. We hope to see you in December 2018 in Washington DC!
Jakob Runge, Veronika Eyring, Gustau Camps-Valls, Markus Reichstein
Join the movement and come to this year’s Climate Informatics Workshop in Boulder (US) from September 19-22, 2018. Jakob is chairing the programme committee this year. The abstract submission deadline is June 30th. For more information visit here.