Constraining future summer austral jet stream positions in the CMIP5 ensemble by process-oriented multiple diagnostic regression

Sabrina Wenzel, Veronika Eyring, Edwin Gerber, Alexey Yu Karpechko

Research output: Contribution to journalArticle

Abstract

Stratospheric ozone recovery and increasing greenhouse gases are anticipated to have a large impact on the Southern Hemisphere extratropical circulation, shifting the jet stream and associated storm tracks. Models participating in phase 5 of the Coupled Model Intercomparison Project poorly simulate the austral jet, with a mean equatorward bias and 10° latitude spread in their historical climatologies, and project a wide range of future trends in response to anthropogenic forcing in the representative concentration pathway (RCP) scenarios. Here, the question is addressed whether the unweighted multimodel mean (uMMM) austral jet projection of the RCP4.5 scenario can be improved by applying a process-oriented multiple diagnostic ensemble regression (MDER). MDER links future projections of the jet position to processes relevant to its simulation under present-day conditions.MDERis first targeted to constrain near-term (2015-34) projections of the austral jet position and selects the historical jet position as the most important of 20 diagnostics. The method essentially recognizes the equatorward bias in the past jet position and provides a bias correction of about 1.5° latitude southward to future projections.When the target horizon is extended to midcentury (2040- 59), the method also recognizes that lower-stratospheric temperature trends over Antarctica, a proxy for the intensity of ozone depletion, provide additional information that can be used to reduce uncertainty in the ensemble mean projection. MDER does not substantially alter the uMMM long-term position in jet position but reduces the uncertainty in the ensemble mean projection. This result suggests that accurate observational constraints on upper-tropospheric and lower-stratospheric temperature trends are needed to constrain projections of the austral jet position.

Original languageEnglish (US)
Pages (from-to)673-687
Number of pages15
JournalJournal of Climate
Volume29
Issue number2
DOIs
StatePublished - 2016

Fingerprint

jet stream
multiple regression
summer
storm track
CMIP
ozone depletion
Southern Hemisphere
greenhouse gas
temperature
ozone

Keywords

  • Bayesian methods
  • Circulation/Dynamics
  • Climate variability
  • Dynamics
  • Mathematical and statistical techniques
  • Optimization
  • Regression analysis
  • Variability
  • Wind stress

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Constraining future summer austral jet stream positions in the CMIP5 ensemble by process-oriented multiple diagnostic regression. / Wenzel, Sabrina; Eyring, Veronika; Gerber, Edwin; Karpechko, Alexey Yu.

In: Journal of Climate, Vol. 29, No. 2, 2016, p. 673-687.

Research output: Contribution to journalArticle

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