Learning Machine Learning with Lorenz-96

Published December 25, 2024 | Version v4

Software Open

1. Columbia University
2. Earthmover PBC
3. NVIDIA
4. New York University
5. Princeton Univsersity and NOAA/GFDL
6. National Center for Atmospheric Research
7. Schmidt Futures
8. University of Pennsylvania
9. Earth and Environmental Engineering, Columbia University
10. Courant Institute of Mathematical Sciences, New York Universit
11. Center for Data Science, New York University
12. NOAA-GFDL
13. Sorbonne Universités, LOCEAN Laboratory, Paris, France
14. Courant Institute of Mathematical Sciences, New York University
15. Columbia Climate School, Columbia University
16. Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, INRAE, IGE, 38000 Grenoble, France
17. Program in Atmospheric and Oceanic Sciences, Princeton University
18. Queen Mary University of London
19. Tandon School of Engineering, New York University
20. IGE/CNRS
21. [C]Worthy
22. UCAR
23. NOAA Geophysical Fluid Dynamics Laboratory
24. Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology
25. Princeton/GFDL
26. European Centre for Medium-Range Weather Forecasts
27. Ocean Modeling and Data Assimilation Division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici - CMCC
28. Princeton University

Had to add DOIs to citations, now this version should be final.

Files

Name	Size	Download all
m2lines:L96_demo-v1.0.4.zip md5:cecba7548f6f6faf7c1349dd4510324f	37.4 MB	Preview Download

Is supplement to: Software: https://github.com/m2lines/L96_demo/tree/v1.0.3 (URL)