Skip to main navigation Skip to search Skip to main content

Learning Machine Learning with Lorenz-96

  • Dhruv Balwada
  • , Ryan Abernathey
  • , Shantanu Acharya
  • , Alistair Adcroft
  • , Judith Berner
  • , V. Balaji
  • , Mahamed Aziz Bhouri
  • , Joan Bruna
  • , Mitchell Bushuk
  • , Will Chapman
  • , Alex Connolly
  • , Julie Deshayes
  • , Carlos Fernandez-Granda
  • , Pierre Gentine
  • , Anastasiia Gorbunova
  • , William Gregory
  • , Arthur Guillaumin
  • , Shubham Gupta
  • , Marika Holland
  • , J Emmanuel Johnsson
  • Julien Le Sommer, Ziwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon G. Reichl, Andrew C. Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna
  • University of Washington
  • Columbia University
  • University of New York
  • Princeton University
  • National Oceanic and Atmospheric Administration
  • Geophysical Fluid Dynamics Lab.
  • University Corporation for Atmospheric Research
  • University Corporation For Atmospheric Res
  • University of California at Berkeley
  • CNRS
  • Université Grenoble Alpes
  • University of Colorado Boulder
  • University of Wisconsin-Madison
  • Peking University
  • Cooperative Institute for Modeling the Earth System
  • University of Rhode Island
  • Johns Hopkins University
  • National Center for Atmospheric Research
  • Euro-Mediterranean Center on Climate Change
  • University of Oxford

Research output: Contribution to journalArticlepeer-review

Original languageAmerican English
JournalJournal of Open Source Education
StatePublished - 2024

Fingerprint

Dive into the research topics of 'Learning Machine Learning with Lorenz-96'. Together they form a unique fingerprint.

Cite this