| Literature DB >> 28193900 |
Abhishekh Srivastava1, Timothy DelSole2,3.
Abstract
This paper shows that the most predictable components of internal variability in coupled atmosphere-ocean models are remarkably similar to the most predictable components of climate models without interactive ocean dynamics (i.e., models whose ocean is represented by a 50-m-deep slab ocean mixed layer with no interactive currents). Furthermore, a linear regression model derived solely from dynamical model output can skillfully predict observed anomalies in these components at least a year or two in advance, indicating that these model-derived components and associated linear dynamics are realistic. These results suggest that interactive ocean circulation is not essential for the existence of multiyear predictability previously identified in coupled models and observations.Entities:
Keywords: CMIP; average predictability time; decadal predictability; decadal prediction
Year: 2017 PMID: 28193900 PMCID: PMC5338527 DOI: 10.1073/pnas.1614085114
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205