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The 50th Anniversary of the Metaphorical Butterfly Effect since Lorenz (1972): Multistability, Multiscale Predictability, and Sensitivity in Numerical Models



Details

  • Journal Title:
    Atmosphere
  • Personal Author:
    Shen, Bo-Wen ORCID ICON IMG ; Pielke, Roger A. ; Zeng, Xubin ORCID ICON IMG
  • NOAA Program & Office:
    CIRES (Cooperative Institute for Research in Environmental Sciences)
  • Description:
    Lorenz rediscovered the butterfly effect, which is defined as the sensitive dependence on initial conditions (SDIC), in 1963. In 1972, he used the term “butterfly” as a metaphor to illustrate how a small perturbation can lead to a tornado with a complex structure. The metaphorical butterfly effect, which celebrated its 50th anniversary in 2022, is not precisely the same as the original butterfly effect with SDIC. To commemorate the 50th anniversary, a Special Issue was launched and invited the submission of research and review articles that can help to enhance our understanding of both the original and metaphorical butterfly effects. The Special Issue also sought recent developments in idealized Lorenz models and real-world models that address multistability, multiscale predictability, and sensitivity. The call for papers was opened 15 months prior to the completion of the Special Issue and features nine selected papers. This editorial provides a brief review of Lorenz models, introduces the published papers, and summarizes each one of them.
  • Source:
    Atmosphere, 14(8), 1279
  • DOI:
    https://doi.org/10.3390/atmos14081279
  • ISSN:
    2073-4433
  • Format:
    pdf
  • Publisher:
    MDPI AG
  • Document Type:
    Journal Article
  • License:
    https://creativecommons.org/licenses/by/4.0/
  • Rights Information:
    CC BY
  • Compliance:
    Library
  • Download URL:
    https://repository.library.noaa.gov/view/noaa/69596/noaa_69596_DS1.pdf
  • File Type:
    Filetype[PDF - 1.69 MB]
  • Collection(s):
    NOAA Cooperative Institutes
  • Main Document Checksum:
    urn:sha-512:241c0b52e0882478b82db4736ade9c804ac2e774afc69022f2093555e8cb59647d4fb7e16db02cbf3eb96f550264189a61656aa75a3e599d17517dce7b50ff6c
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