2 papers
nlin.CD2026
Data-driven characterization of spatiotemporal chaos using ensemble reservoir computing
Xiaoqi Lei, Zixiang Yan, Jian Gao +2
Spatiotemporal chaotic systems are difficult to characterize in a model-free manner because of their high dimensionality, strong nonlinearity, and sensitivity to initial conditions…
physics.ao-ph2026
Long-term prediction of ENSO with physics-guided Deep Echo State Networks
Zejing Zhang, Jun Meng, Zhongpu Qiu +9
The El Niño-Southern Oscillation (ENSO) is a dominant mode of interannual climate variability, yet the mechanisms limiting its long-lead predictability remain unclear. Here we dev…