Cited by 209Climate variability and modelsMeteorological Phenomena and SimulationsOceanographic and Atmospheric Processes

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Four Theories of the Madden‐Julian Oscillation

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Zhang, C., Adames, Á. F., Khouider, B., Wang, B., Yang, D.·2020·Reviews of Geophysics

Abstract

Studies of the Madden‐Julian Oscillation (MJO) have progressed considerably during the past decades in observations, numerical modeling, and theoretical understanding. Many theoretical attempts have been made to identify the most essential processes responsible for the existence of the MJO. Criteria are proposed to separate a hypothesis from a theory (based on the first principles with quantitative and testable assumptions, able to predict quantitatively the fundamental scales and eastward propagation of the MJO). Four MJO theories are selected to be summarized and compared in this article: the skeleton theory, moisture‐mode theory, gravity‐wave theory, and trio‐interaction theory of the MJO. These four MJO theories are distinct from each other in their key assumptions, parameterized processes, and, particularly, selection mechanisms for the zonal spatial scale, time scale, and eastward propagation of the MJO. The comparison of the four theories and more recent development in MJO dynamical approaches lead to a realization that theoretical thinking of the MJO is diverse and understanding of MJO dynamics needs to be further advanced.

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  • Work on predictions of compound extremes is still in its infancy.

    “While AI research has examined individual extreme events (Section 2), work on predictions of compound extremes is still in its infancy (Zhang et al., 2020).”

    From Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives (2024) · cites this paper as Zhang et al., 2020

    The Introduction discusses the prediction of the Madden–Julian Oscillation and a gap between its current prediction skill and predictability limit. Searches for compound extremes, compound extreme events, and extreme-weather predictability found no passage assessing whether prediction research on compound extremes is in its infancy. (LLM, conf=0.77)

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Metadata

Authors
Zhang, C., Adames, Á. F., Khouider, B., Wang, B., & Yang, D.
Affiliations
  • NOAA Pacific Marine Environmental Laboratory (US)
  • University of Michigan (US)
  • University of Victoria (CA)
  • University of Hawaiʻi at Mānoa (US)
  • Lawrence Berkeley National Laboratory (US)
Corresponding author
Zhang, C.
Venue
Reviews of Geophysics
Published
2020-07-21
Volume
58
Issue
3
Pages
e2019RG000685-e2019RG000685
ISSN
  • 0096-1043 (ISSN-L)
  • 8755-1209
  • 1944-9208
OpenAlex
W3021121438
Cited by
209
References
256
Citations by year
2026: 17 · 2025: 34 · 2024: 31 · 2023: 30 · 2022: 28 · 2021: 39 · 2020: 11
FWCI
1.48
Type
journal article
Language
en
Open access
Locations
  • Reviews of Geophysics (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • Deep Blue (University of Michigan) (submittedVersion)
  • UVic’s Research and Learning Repository (University of Victoria) (submittedVersion)
  • NOAA Institutional Repository (submittedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Funders
  • U.S. Department of Energy (DE‐AC02‐05CH11231)
  • National Science Foundation (AGS‐1540783, AGS‐1841559)
  • Office of Naval Research (PISTON)
  • National Oceanic and Atmospheric Administration (NA13OAR310161, NA15OAR4310099)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
Keywords
Madden-Julian Oscillation, eastward propagation, time scales, tropical intraseasonal variability

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