Machine learning related to GEOS-Chem: Difference between revisions

From Geos-chem
Jump to navigation Jump to search
(Page to describe machine learning activities within GEOS-Chem)
 
No edit summary
Line 2: Line 2:
{| border=1 cellspacing=0 cellpadding=5
{| border=1 cellspacing=0 cellpadding=5
|- bgcolor="#cccccc"
|- bgcolor="#cccccc"
!width="200px"|Contact Persons
!width="150px"|Contact Persons
!width="600px"|Paper
!width="600px"|Paper
!width="100px"|Date Added
!width="100px"|Date Added
|-
|-
|[mailto:christoph.a.keller@nasa.gov Christoph Keller]
|[mailto:christoph.a.keller@nasa.gov Christoph Keller] <br> [mailto:mat.evans@york.ac.uk Mat Evans]
  [mailto:mat.evans@york.ac.uk Mat Evans]
|[https://www.geosci-model-dev.net/12/1209/2019/gmd-12-1209-2019.html Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10]
|[https://www.geosci-model-dev.net/12/1209/2019/gmd-12-1209-2019.html Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10]
|14th May 2019
|14th May 2019
|-
|-
|[mailto:samsilva@mit.edu Sam Silva]
|[mailto:samsilva@mit.edu Sam Silva] <br> [mailto:heald@mit.edu Colette Heald]
|[https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018GL081049 A Deep Learning Parameterization for Ozone Dry Deposition Velocities]
|[https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018GL081049 A Deep Learning Parameterization for Ozone Dry Deposition Velocities]
|14th May 2019}
|14th May 2019
|-}

Revision as of 09:22, 14 May 2019