Estimates of Decadal Climate Predictability From an Interactive Ensemble Model

Wei Zhang, Ben Kirtman

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Decadal climate predictability has received considerable scientific interest in recent years, yet the limits and mechanisms for decadal predictability are currently not well known. It is widely accepted that noise due to internal atmospheric dynamics at the air-sea interface influences predictability. The purpose of this paper is to use the interactive ensemble (IE) coupling strategy to quantify how internal atmospheric noise at the air-sea interface impacts decadal predictability. The IE technique can significantly reduce internal atmospheric noise and has proven useful in assessing seasonal-to-interannual variability and predictability. Here we focus on decadal timescales and apply the nonlinear local Lyapunov exponent method to the Community Climate System Model comparing control simulations with IE simulations. This is the first time the nonlinear local Lyapunov exponent has been applied to the state-of-the-art coupled models. The global patterns of decadal predictability are discussed from the perspective of internal atmospheric noise and ocean dynamics.

Original languageEnglish (US)
Pages (from-to)3387-3397
Number of pages11
JournalGeophysical Research Letters
Issue number6
StatePublished - Mar 28 2019

ASJC Scopus subject areas

  • Geophysics
  • Earth and Planetary Sciences(all)


Dive into the research topics of 'Estimates of Decadal Climate Predictability From an Interactive Ensemble Model'. Together they form a unique fingerprint.

Cite this