OS022
Innovation and Exploration in Observed and Model Oceanographic Data Using Interpretable Machine Learning I

Thursday, 10 December 2020: 04:00-05:00
Virtual
Primary Convener:  Maike Sonnewald, Princeton University, Princeton, NJ, United States
Conveners:  V. Balaji, Princeton University, Princeton, NJ, United States, Redouane Lguensat, Institut des Géosciences de l'Environnement, CNRS/Univ. Grenoble Alpes/G-INP/IRD, Grenoble, France and Julien Brajard, Nansen Environmental and Remote Sensing Center, Bergen, Norway; Sorbonne Université, Sorbonne, France
Primary Liaison:  Maike Sonnewald, Princeton University, Princeton, NJ, United States
Chairs:  Maike Sonnewald, Harvard University, Earth and Planetary Sciences, Cambridge, MA, United States, Redouane Lguensat, Institut des Géosciences de l'Environnement, CNRS/Univ. Grenoble Alpes/G-INP/IRD, Grenoble, France, Julien Brajard, Sorbonne Université, Sorbonne, France and V. Balaji, Princeton University, Princeton, NJ, United States
OSPA Liaison:  V. Balaji, Princeton University, Princeton, NJ, United States
04:00
OS022-01
A Performance Metric for Objective Discovery of Leading-Order Dynamics through Unsupervised Machine Learning (746298)
Bryan Kaiser, Juan A Saenz and Daniel Livescu, Los Alamos National Laboratory, Los Alamos, NM, United States
04:04
OS022-02
Data Driven Parameterization of Mesoscale Eddies and Comparison with Kinetic Energy Backscatter Parameterizations in NEMO Ocean Model (756391)
Pavel Perezhogin, Institute of Numerical Mathematics RAS, Moscow, Russia
04:08
OS022-03
DINCAE: multivariate convolutional neural network with error estimates to reconstruct gridded and along-track satellite observations (727568)
Alexander Barth1, Aida Alvera-Azcarate1, Charles Troupin2 and Jean-Marie Beckers1, (1)Université de Liège, AGO-GHER, Liège, Belgium, (2)Université de Liège, AGO-GHER, Liege, Belgium
04:12
OS022-04
Strengthening our knowledge on regional sea level rise through proxy data and machine learning. (694728)
Veronica Nieves1, Cristina Radin2 and Gustau Camps-Valls2, (1)University of Valencia, Image Processing Laboratory, Burjassot, Spain, (2)University of Valencia, Image Processing Laboratory, Valencia, Spain
04:16
OS022-05
Exploring different iron regimes in the global ocean by an unsupervised clustering technique (681165)
Anh Pham, Georgia Institute of Technology Main Campus, School of Earth and Atmospheric Sciences, Atlanta, GA, United States, Takamitsu Ito, Georgia Institute of Technology, Atlanta, GA, United States and Dan Jones, NERC British Antarctic Survey, Cambridge, United Kingdom
04:20
OS022-06
Exploring biogeographical provinces with machine learning and Argo float data (748395)
Rosalind Echols1, Gabrielle Rocap2 and Stephen Riser2, (1)University of Washington Seattle, School of Oceanography, Seattle, WA, United States, (2)University of Washington, School of Oceanography, Seattle, WA, United States
04:24
OS022-07
The Antarctic Slope Front Position Estimated from Hydrography (721847)
Etienne Pauthenet1, Jean-baptiste Sallee1, Sunke Schmidtko2 and David Nerini3, (1)Sorbonne Université, LOCEAN‐IPSL, CNRS/IRD/MNHN, Paris, France, (2)GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany, (3)Aix Marseille Université, CNRS/INSU,IRD, Mediterranean Institute of Oceanography (MIO), UM 110, 13288, Marseille, France
04:28
OS022-08
Identifying Southern Ocean fronts using unsupervised classification and edge detection (730541)
Simon Donald Alistair Thomas1,2, Dan Jones2, Anita Faul2, Erik Mackie3 and Etienne Pauthenet4, (1)University of Cambridge, Department of Physics, Cambridge, United Kingdom, (2)NERC British Antarctic Survey, Cambridge, United Kingdom, (3)University of Cambridge, Cambridge Zero, Cambridge, United Kingdom, (4)Sorbonne Université, LOCEAN‐IPSL, CNRS/IRD/MNHN, Paris, France
04:32
Discussion
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