3 papers
physics.ao-ph2025
POD-Galerkin Reduced Order Modeling of the El Nino-Southern Oscillation (ENSO)
Yusuf Aydogdu, Navaratnam Sri Namachchivaya
Reduced order modeling (ROM) aims to mitigate computational complexity by reducing the size of a high-dimensional state space. In this study, we demonstrate the efficiency, accurac…
math.DS2021
Compressed Compressor
Alyssa Novelia, Yusuf Aydogdu, Thambirajah Ravichandran +1
In this paper, we present a data-driven reduced order model of viscous Moore-Greitzer (MG) partial differential equation (PDE) by threading together ideas from principal component…
math.DS2021
Stochastic Parameterization using Compressed Sensing: Application to the Lorenz-96 Atmospheric Model
Amartya Mukherjee, Yusuf Aydogdu, Thambirajah Ravichandran +1
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…