Difference between revisions of "Machine learning related to GEOS-Chem"
From Geos-chem
(→Current GEOS-Chem Machine Learning Projects) |
(→Useful resources) |
||
Line 83: | Line 83: | ||
|https://www.tensorflow.org Google Tensor Flow] | |https://www.tensorflow.org Google Tensor Flow] | ||
|Google's Machine Learning package | |Google's Machine Learning package | ||
+ | |- | ||
+ | |https://scikit-learn.org/stable/ Scikit-Learn] | ||
+ | |Scikit-Learn package for machine learning in Python. | ||
|} | |} | ||
− | |||
== Upcoming conferences / workshops == | == Upcoming conferences / workshops == |
Revision as of 11:41, 14 May 2019
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 | |
---|---|
Oxidants and Chemistry Working Group email list | geos-chem-oxidants [at] g.harvard.edu |
To subscribe to email list | Either
Or
|
To unsubscribe from email list | Either
Or
|
Contents
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 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 |
https://scikit-learn.org/stable/ Scikit-Learn] | Scikit-Learn package for machine learning in Python. |
Upcoming conferences / workshops
Conference | Date |
---|---|
Machine Learning for Weather and Climate Modelling 2019 | 2-5th Sept 2019 |
AGU Fall 2019 | 9-13th Dec 2019 |