Stochastic Parameterization Using Compressed Sensing: Application to the Lorenz-96 Atmospheric Model

Growing set of optimization and regression techniques, based upon sparse representations of signals, to build models from data sets has received widespread attention recently with the advent of compressed sensing. This paper deals with the parameterization of the Lorenz-96 (Lorenz, 1995) model with...

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Bibliographic Details
Main Authors: A. Mukherjee, Y. Aydogdu, T. Ravichandran, N. Sri Namachchivaya
Format: Article
Language:English
Published: Stockholm University Press 2022-04-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
Online Access:https://a.tellusjournals.se/articles/42