Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM

4 code implementations • 20 Jun 2019 • Ashesh Chattopadhyay, Pedram Hassanzadeh, Devika Subramanian

This Lorenz 96 system has three tiers of nonlinearly interacting variables representing slow/large-scale ($X$), intermediate ($Y$), and fast/small-scale ($Z$) processes.