Lorenz 96

The Lorenz-96 dataset is a benchmark used to evaluate the forecasting capabilities of algorithms for chaotic systems, specifically in the context of spatiotemporal dynamics.

Papers using Lorenz 96 (3)

Kolmogorov-Arnold Networks for Time Series Granger Causality Inference2025Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection2024 · 2 citesBackpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics2019