Skip to main navigation Skip to search Skip to main content

Atlantic multidecadal variability and north atlantic jet: A multimodel view from the decadal climate prediction project

  • Paolo Ruggieri
  • , Alessio Bellucci
  • , Dario Nicolí
  • , Panos J. Athanasiadis
  • , Silvio Gualdi
  • , Christophe Cassou
  • , Fred Castruccio
  • , Gokhan Danabasoglu
  • , Paolo Davini
  • , Nick Dunstone
  • , Rosemary Eade
  • , Guillaume Gastineau
  • , Ben Harvey
  • , Leon Hermanson
  • , Saïd Qasmi
  • , Yohan Ruprich-Robert
  • , Emilia Sanchez-Gomez
  • , Doug Smith
  • , Simon Wild
  • , Matteo Zampieri
  • University of Bologna
  • Euro Mediterranean Center on Climage Change
  • Istituto Nazionale di Geofisica e Vulcanologia (INGV)
  • Université Paul Sabatier
  • National Center for Atmospheric Research
  • Ev-K2-CNR Committee
  • Now at Met Office Hadley Centre
  • Sorbonne Université
  • University of Reading
  • Earth Sciences
  • European Commission Joint Research Centre

Research output: Contribution to journalArticlepeer-review

Abstract

The influence of the Atlantic multidecadal variability (AMV) on the North Atlantic storm track and eddy-driven jet in the winter season is assessed via a coordinated analysis of idealized simulations with state-of-the-art coupled models. Data used are obtained from a multimodel ensemble of AMV6 experiments conducted in the framework of the Decadal Climate Prediction Project component C. These experiments are performed by nudging the surface of the Atlantic Ocean to states defined by the superimposition of observed AMV6 anomalies onto the model climatology. A robust extratropical response is found in the form of a wave train extending from the Pacific to the Nordic seas. In the warm phase of the AMV compared to the cold phase, the Atlantic storm track is typically contracted and less extended poleward and the low-level jet is shifted toward the equator in the eastern Atlantic. Despite some robust features, the picture of an uncertain and model-dependent response of the Atlantic jet emerges and we demonstrate a link between model bias and the character of the jet response.

Original languageEnglish
Pages (from-to)347-360
Number of pages14
JournalJournal of Climate
Volume34
Issue number1
DOIs
Publication statusPublished - 1 Jan 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Atmosphere-ocean interaction
  • Multidecadal variability
  • Storm tracks

Fingerprint

Dive into the research topics of 'Atlantic multidecadal variability and north atlantic jet: A multimodel view from the decadal climate prediction project'. Together they form a unique fingerprint.

Cite this