Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Interannual Enso diversity, transitions, and projected changes in observations and climate models

Bibliographic Data

ID15547792
AuthorsMandy Freund (0000-0002-8839-5494, Commonwealth Scientific and Industrial Research Organisation, corresponding author), Josephine R Brown (0000-0002-1100-7457, The University of Melbourne), Andrew G Marshall (0000-0003-4902-1462, Bureau of Meteorology), Carly R Tozer (0000-0001-8605-5907, CSIRO Oceans and Atmosphere), Benjamin J Henley (0000-0003-3940-1963, The University of Melbourne), James S Risbey (0000-0003-3202-9142, CSIRO Oceans and Atmosphere), Nandini Ramesh (0000-0002-9538-2042, Commonwealth Scientific and Industrial Research Organisation), Ruby Lieber (0000-0003-3196-3080, The University of Melbourne), S Sharmila (0000-0001-8102-2356, Bureau of Meteorology)
Year2024
Volume19
Issue11
Pages114005-114005
Publication date2024-09-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ad78db
OpenAlexW4402394307
LanguageEN
References cited76

Diverse characteristics of El Niño Southern Oscillation (ENSO) events challenge the traditional view of tropical coupled ocean-atmosphere systems. The probability of a transition from one type of event to another is influenced by multiple factors of which many are projected to change. Here we assess the likelihood of ENSO transitions in observations and climate models, including a distinction between events that peak in the Eastern Pacific (EP) and Central Pacific (CP). We find that the initial ENSO state influences the likelihood of certain transitions and that some transitions are not physically possible or stochastically likely. For example, transitions to CP events are more likely than EP events except from a neutral state. We also find that El Niños tend to occur as singular events compared to La Niñas. While consecutive El Niño and La Niña events of EP type are possible, opposing EP events do not occur in succession. We identify several transitions likely driven by internal dynamical processes including neutral conditions to El Niño, CP El Niño to another El Niño, EP El Niño to CP La Niña, CP La Niña to CP El Niño and La Niña, and EP La Niña to neutral and CP El Niño. Projections of future transitions show an increased probability of transitions to CP El Niño events while transitions to EP La Niña events become less frequent under a high-emissions scenario. Accordingly, transitions to these events become more and less likely, respectively. We also find changes in the likelihood of specific transitions in a warming world: consecutive CP El Niño events become more likely while EP El Niño events become less likely to transition into CP La Niña events. These changes are expected to occur as early as 2050 with some changes to be accelerated by the end of the 21st century

Atmosphere (unit · Atmospheric sciences · Biology · Climate change · Climatology · Ecological succession · El Niño Southern Oscillation · La Niña · Meteorology · Multivariate ENSO index · Physics · Atmospheric and Environmental Gas Dynamics · Atmospheric Ozone and Climate · Climate variability and models · Environmental Science · Ecology · Geology · Oceanography

  • Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

    Open Access•Veronika Eyring, Sandrine Bony et al.•Geoscientific Model Development•2016

  • Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century

    Open Access•Nick A Rayner, D E Parker et al.•Journal of Geophysical Research:…•2003

  • The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500

    Open Access•Malte Meinshausen, Zebedee Nicholls et al.•Geoscientific Model Development•2020

  • A fluctuation in surface temperature in historical context

    Open Access•James S Risbey, Lewandowsky et al.•Environmental Research Letters•2018

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae