IN053:
Recent Advances in Deep Learning and Data Analytics in Earth, Atmospheric, and Planetary Sciences





Session ID#: 25606

Session Description:
Machine learning methods have revolutionized many aspects of our daily life and are poised to revolutionize far more. Some areas of Earth and space science have long established histories of use, but most have seen only limited application. As Deep Learning and Deep Belief emerge as potentially benefiting areas such as hydrometerological prediction, they also gain more visibility in other fields (and even TV programs). The incorporation of uncertainty, physics and domain knowledge, and space-time dependence in highly scalable Deep Learning architectures may provide a base to model and learn abstract representations of complex earth science datasets. This session seeks papers in theory, adoptions, practice, anecdotal experiences, use cases, and lessons learned in applying machine learning, deep learning and deep belief in Earth and space science.
Primary Convener:  Jens F Klump, CSIRO Earth Science Resource Engineering, Perth, Australia
Conveners:  Michael M Little, NASA Headquarters, Earth Science Technology Office, Washington, DC, United States, Youzuo Lin, Los Alamos National Laboratory, Los Alamos, NM, United States and Udit Bhatia, Northeastern University, Boston, MA, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • EP - Earth and Planetary Surface Processes
  • H - Hydrology
  • S - Seismology
Index Terms:

Abstracts Submitted to this Session:

Victor Pankratius1, Justin D Li1, Cody Millard Rude1, Michael Gowanlock1 and Thomas Herring2, (1)MIT Haystack Observatory, Westford, MA, United States, (2)MIT, Department of Earth, Atmospheric and Planetary Sciences, Cambridge, MA, United States
John Malone Beck, Susan Bridges, Charles Collins, John Rushing and Sara J Graves, University of Alabama in Huntsville, Huntsville, AL, United States
Manil Maskey1, Rahul Ramachandran1 and Jeffrey Miller2, (1)NASA Marshall Space Flight Center, Huntsville, AL, United States, (2)Zelo Buon Persico, Italy
Phuong Nguyen, David Frankel and Milton Halem, University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States
Youzuo Lin, Dylan R Harp, Bailian Chen and Rajesh Pawar, Los Alamos National Laboratory, Los Alamos, NM, United States
Jeffrey Miller1, Manil Maskey2 and Todd Berendes1, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)NASA Marshall Space Flight Center, Huntsville, AL, United States
Bailian Chen1, Dylan R Harp2, Youzuo Lin1, Elizabeth H Keating1 and Rajesh Pawar1, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, Earth and Environmental Sciences Division, Los Alamos, NM, United States
Jens F Klump and Francky Fouedjio, CSIRO Mineral Resources, Perth, WA, Australia
Xinyue Su, Tsinghua University, Beijing, China
Junxiao Wang1,2, Xingong Li3, Shenglu Zhou1 and Jing Tang1, (1)Nanjing University, Geographic and Oceanographic Sciences, Nanjing, China, (2)University of Kansas, Department of Geography and Atmospheric Science Events, Lawrence, KS, United States, (3)University of Kansas, Department of Geography and Atmospheric Science, Lawrence, KS, United States
Paul A Johnson1, Bertrand Rouet-Leduc2, Claudia Hulbert2, Chris Marone3 and Robert A Guyer2, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, Earth and Environmental Sciences, Los Alamos, NM, United States, (3)Penn State University, Department of Geosciences, University Park, PA, United States
Matthew Hancher, Google, Mountain View, CA, United States and The Google Earth Engine Team
Amine Mohammed Azzaoui1, Manare Adnani2, Hicham Elbelrhiti3, Brahim El Khalil Chaouki4 and Lhoussaine Masmoudi1, (1)Mohammed V University, Laboratoire d’Electronique et de Traitement du Signal/ Géomatique (LETS/Géomat), Rabat, Morocco, (2)Mohammed V University, Rabat, Morocco, (3)Institut Agronomique et Vétérinaire Hassan II, Département des Sciences Fondamentales et Appliquées, Rabat, Morocco, (4)Ecole Nationale des Sciences Appliquées d'Agadir, Computer science, Agadir, Morocco
Alan Sheng Xi Li1, Ved Chirayath1, Michal Segal-Rosenhaimer2 and Kamalika Das3, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)BAERI/NASA Ames Research Center, Moffett Field, CA, United States, (3)NASA - Ames Research Center, Mountain View, CA, United States
Shaunak De1, Avik Bhattacharya2 and Ritesh Gautam1, (1)Indian Institute of Technology Bombay, Mumbai, India, (2)Indian Institute of Technology Bombay, Center of Studies in Resources Engineering, Mumbai, India
Ankur Mahesh1, Travis Allen O'Brien2, Mr Prabhat3, William Drew Collins4 and Yunjie Liu1, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Lab, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, (3)Lawrence Berkeley National Laboratory, National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, United States, (4)Berkeley Lab and UC Berkeley, Berkeley, CA, United States
Siri-Jodha S Khalsa1, Ruth Duerr2, Chris A Mattmann3, Nithin Krishna Ottilingam4, Karanjeet Singh5 and Luis Alberto Lopez2, (1)University of Colorado at Boulder, Boulder, CO, United States, (2)National Snow and Ice Data Center, Boulder, CO, United States, (3)NASA Jet Propulsion Laboratory, Instrument and Data Systems Section, Pasadena, CA, United States, (4)University of Southern California, Los Angeles, CA, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Kunlun Qi, China University of Geosciences Wuhan, Wuhan, China and Guan Qingfeng, China University of Geosciences Wuhan, Faculty of Information Engineerring, Wuhan, China
Kwo-Sen Kuo1,2, Michael Lee Rilee1 and Amidu Oloso1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Bayesics, LLC, Bowie, MD, United States