Stochastic Parameterization Using Compressed Sensing: Application to the Lorenz-96 Atmospheric Model
Authors
Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1
Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1
Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1
Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1
DOI: https://doi.org/10.16993/tellusa.42 | Journal eISSN: 3035-9554
Language: English
Page range: 300 - 317
Submitted on: Feb 21, 2022
Accepted on: Feb 21, 2022
Published on: Apr 26, 2022
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2022 A. Mukherjee, Y. Aydogdu, T. Ravichandran, N. Sri Namachchivaya, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.