Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing

arXiv:2406.03061 · cs.LG, nlin.CD, physics.ao-ph, stat.ML · Submitted 2024-06-05 · Read on arXiv

cs.LG, nlin.CD, physics.ao-ph, stat.ML

Submitted: 2024-06-05

Updated: 2024-06-05

Journal ref: Chaos 36, 083115 (2026)

DOI: 10.1063/5.0324305

Code: https://github.com/ToyotaCRDL/climate_data

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 9× in this paper · explained in 1 episode
• Echo State Network — 8× in this paper
• Activation Function — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Leakly Integrator — 2× in this paper
• Cooperation — 1× in this paper · explained in 2 episodes
• Cross-ministerial Strategic Innovation Promotion Program — 1× in this paper
• Leakly Integrator Echo State Network — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
• Machine learning prediction of the MJO extends beyond one month

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