Wavelet-based observables are eigenfunctions of the Koopman semigroup, yielding closed-form expressions and the cWDMD algorithm that extends EDMD for numerical approximation, validated on two examples.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
math.NA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Kernel EDMD plus residual pseudospectral analysis extracts 19 robust modes from ERA5 and HadISST SST anomalies that reconstruct Nino3.4 variance and yield skillful ENSO forecasts at extended leads.
citing papers explorer
-
Wavelet-Based Observables for Koopman Analysis: An Extended Dynamic Mode Decomposition Framework
Wavelet-based observables are eigenfunctions of the Koopman semigroup, yielding closed-form expressions and the cWDMD algorithm that extends EDMD for numerical approximation, validated on two examples.
-
Residual Pseudospectra Reveal a Physics-Informed Koopman Backbone for Tropical Pacific Variability and ENSO Prediction
Kernel EDMD plus residual pseudospectral analysis extracts 19 robust modes from ERA5 and HadISST SST anomalies that reconstruct Nino3.4 variance and yield skillful ENSO forecasts at extended leads.