A028:
Combining Physical Simulation and Machine Learning across Geophysical Sciences





Session ID#: 26710

Session Description:
Simulation of physical processes through solution of differential equations, or mechanistic models, serves as a core tool of geophysical studies.  In contrast to this cause and effect-driven Physical Simulation (PS), Machine Learning (ML) models instantiate pattern recognition techniques and often operate as a black box.  A key question is how to combine PS and ML solutions to advance understanding of the physical system and improve the PS.  This session is seeking cross-disciplinary presentations that demonstrate applied combinations of PS and ML.  Examples may include data assimilation (where ML may drive the design of PS), using ML to filter PS outputs, use of PS to develop training data sets for ML and ML approaches to classification of large scale PS outputs.  Demonstrations of practical applications are strongly encouraged.
Primary Convener:  Sean A McKenna, IBM Ireland, Dublin, Ireland
Conveners:  Ronni Grapenthin, New Mexico Institute of Mining and Technology, Socorro, NM, United States, Anna Michalak, Carnegie Institution for Science, Global Ecology, Washington, United States and Markus Reichstein, Max-Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany
Co-Organized with:
Atmospheric Sciences, Biogeosciences, Hydrology, and Seismology

Cross-Listed:
  • B - Biogeosciences
  • H - Hydrology
  • S - Seismology

Abstracts Submitted to this Session:

Jeremy McGibbon, University of Washington Seattle Campus, Department of Atmospheric Sciences, Seattle, WA, United States and Christopher Stephen Bretherton, Univ Washington, Seattle, WA, United States
Chelsea Leigh Johnson, Georgia Institute of Technology Main Campus, Atlanta, GA, United States
Phoebe Robinson DeVries, T Ben Thompson and Brendan J. Meade, Harvard University, Cambridge, MA, United States
Mathew J Evans, University of York, Department of Chemistry, York, United Kingdom; National Centre for Atmospheric Science, York, United Kingdom and Christoph Andrea Keller, Global Modeling and Assimilation Office, Greenbelt, MD, United States
Alberto Arribas, Jacob Tomlinson, Rachel Prudden and Niall Robinson, Met Office, Informatics Lab, Exeter, United Kingdom
Shivam Tripathi, Indian Institute of Technology Kanpur, Civil Engineering, Kanpur, India and Pankaj Kumar Rai, Indian Institute of Technology Kanpur, Civil Engineering, Kanpur, India
Jon Jeffrey Starn, USGS Connecticut Water Science Center, East Hartford, CT, United States, Kenneth Belitz, USGS, San Diego, CA, United States, Leon Jay Kauffman, USGS New Jersey Water Science Center, West Trenton, NJ, United States and Carl Carlson, USGS New England Water Science Center - Massachusetts Office, Northborough, MA, United States
Diego G Loyola, German Aerospace Center DLR Oberpfaffenhofen, Oberpfaffenhofen, Germany
Yun Xu, Lawrence Berkeley National Laboratory, Berkeley, CA, United States, Andrew D Jones, Lawrence Berkeley Lab, Berkeley, CA, United States and Alan Rhoades, University of California - Davis, Davis, CA, United States
Duanfeng Gao1, Yawen Zhang1, Zhen Qu2, Kira Sadighi3, Evan Coffey4, Qi LIU1, Michael Hannigan4, Daven K Henze5, Robert Dick6, Li Shang1 and Qin Lv1, (1)University of Colorado Boulder, Boulder, CO, United States, (2)University of Colorado, Mechanical Engineering, Boulder, CO, United States, (3)University of Colorado-Boulder, Boulder, CO, United States, (4)University of Colorado at Boulder, Boulder, CO, United States, (5)Department of Mechanical Engineering, University of Colorado, Boulder, CO, United States, (6)Madison, AL, United States
Sean A McKenna1, Albert Akhriev2, Carlos Alzate2 and Sergiy Zhuk2, (1)IBM Ireland, Dublin, Ireland, (2)IBM Research Ireland, Dublin, Ireland
Sihan Li1, David E Rupp2, Linnia Hawkins2, Philip Mote2, Doug J McNeall3, Sparrow Sarah4, David Wallom5 and Richard A. Betts3, (1)University of Oxford, Oxford, United Kingdom, (2)Oregon Climate Change Research Institute, Corvallis, OR, United States, (3)Met Office Hadley Centre, Exeter, United Kingdom, (4)Oxford e-Research Centre, Oxford University, Oxford, United Kingdom, (5)OeRC, University of Oxford, United Kingdom
Derek J Posselt1, Hai Nguyen1, Berlin Chen1, Longtao Wu2, Hui Su2 and Amy J Braverman1, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Lab, Pasadena, CA, United States
Gustau Camps-Valls1, Jochem Verrelst2, Luca Martino2 and Jorge Vicent2, (1)Paterna (Valencia), Spain, (2)University of Valencia, Valencia, Spain
Anuj Karpatne, University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, MN, United States and Vipin Kumar, University of Minnesota Twin Cities, Minneapolis, MN, United States
Bryan J Travis, Planetary Science Institute, Tucson, AZ, United States, Jeremy Sauer, National Center for Atmospheric Research, Boulder, CO, United States and Manvendra Krishna Dubey, Los Alamos National Laboratory, Los Alamos, NM, United States
Justin Le1, Hesham Mohamed El-Askary2 and Mohamed Allai1, (1)Chapman University, Orange, CA, United States, (2)Alexandria University, Department of Environmental Science, Faculty of Science, Alexandria, Egypt