Machine learning related to GEOS-Chem

All users interested in the use of Machine Learning within the GEOS-Chem community are encouraged to subscribe to the machine learning email list (click on the link in the contact information section below).

Machine Learning in GEOS-Chem support	Mat Evans Christoph Keller
Oxidants and Chemistry Working Group email list	geos-chem-oxidants [at] g.harvard.edu
To subscribe to email list	Either Send an email to geos-chem-oxidants+subscribe [at] g.harvard.edu Or Go to the GEOS-Chem Oxidants and Chemistry Click on Subscribe to this group
To unsubscribe from email list	Either Send an email to geos-chem-oxidants+unsubscribe [at] g.harvard.edu Or Go to the GEOS-Chem Oxidants and Chemistry Click on the My Settings button Click on Leave this group

GEOS-Chem Machine Learning Publications

Contact Persons	Paper	Date Added
Christoph Keller Mat Evans	Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10	14th May 2019
Sam Silva Colette Heald	A Deep Learning Parameterization for Ozone Dry Deposition Velocities	14th May 2019
Tomas Sherwen Mat Evans	A machine learning based global sea-surface iodide distribution	14th May 2019

Current GEOS-Chem Machine Learning Projects

User Group	Description	Contact Person	Date Added
University of York	Post processing bias corrector	Peter Ivatt Mat Evans	14th May 2019
Duke University	Ozone metrics predictor	Prasad Ka Kasibhatla	14th May 2019

Useful resources

Resource	Description
Wikipedia Page	Default Wikipedia ML launch page
https://www.tensorflow.org Google Tensor Flow]	Google's Machine Learning package

Upcoming conferences / workshops

Conference	Date
Machine Learning for Weather and Climate Modelling 2019	2-5th Sept 2019
AGU Fall 2019	9-13th Dec 2019