The analysis of univariate or multivariate time series provides crucial information to describe,
understand, and predict climatic variability. The discovery and implementation of a number …

The climate is a forced, dissipative, nonlinear, complex, and heterogeneous system that is
out of thermodynamic equilibrium. The system exhibits natural variability on many scales of …

We present a new technique for isolating climate signals in time series with a characteristic
'red'noise background which arises from temporal persistence. This background is estimated …

The term singular spectrum comes from the spectral (eigenvalue) decomposition of a matrix
A into its set (spectrum) of eigenvalues. These eigenvalues, A, are the numbers that make …

It is commonly understood that a potential for skillful climate prediction resides in the ocean.
It nevertheless remains unresolved to what extent variable ocean heat is imprinted on the …

This study aims at a global description of climatic phenomena that exhibit some regularity
during the twentieth century. Multi-channel singular spectrum analysis is used to extract long …

This completely updated new edition of Weather Cycles: Real or Imaginary? explores in
detail the unresolved debate on the existence of weather cycles. The book examines the …

The observed global-warming rate has been nonuniform, and the cause of each episode of
slowing in the expected warming rate is the subject of intense debate. To explain this …

THE recognition of natural modes of climate variability is essential for a better understanding
of the factors that govern climate change. Recent models suggest that interdecadal (roughly …

Oceanic variability on interannual, interdecadal, and longer timescales plays a key role in
climate variability and climate change. Paleoclimatic records suggest major changes in the …