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John Wettlaufer

John Wettlaufer

· A.M. Bateman Prof Geophysics, Mathematics & Physics

Yale University · Department of Earth and Planetary Sciences

Active 1985–2025

h-index64
Citations15.7k
Papers626139 last 5y
Funding$968k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

John Wettlaufer is the A.M. Bateman Professor in the Department of Earth & Planetary Sciences at Yale University. He is trained in statistical physics and studies stochastic processes, asymptotic analysis, and other approaches and methods from modern applied mathematics and physics. His research includes numerical simulations to probe a broad range of problems such as the microscopic theory of melting, the mechanisms underlying cosmogony, climate dynamics, information theory, and turbulence.

Research topics

  • Physics
  • Computer Science
  • Artificial Intelligence
  • Psychology
  • Climatology
  • Atmospheric sciences
  • Geography
  • Mathematics
  • Geology
  • Mechanics

Selected publications

  • Wavier jet streams driven by zonally asymmetric surface thermal forcing

    Proceedings of the National Academy of Sciences · 2022 · 42 citations

    Senior authorCorresponding

    -plane effect and dry static stability, the flow field exhibits a dramatic transition from a response confined near the surface to one reaching the upper atmosphere. As global warming enhances polar amplification, the midlatitude jet stream intensity is suppressed. The confluence of these effects leads to wavier jet streams.

  • Stochastic paleoclimatology: Modeling the EPICA ice core climate records

    Chaos An Interdisciplinary Journal of Nonlinear Science · 2023-09-01 · 9 citations

    articleOpen accessSenior author

    We analyze and model the stochastic behavior of paleoclimate time series and assess the implications for the coupling of climate variables during the Pleistocene glacial cycles. We examine 800 kiloyears of carbon dioxide, methane, nitrous oxide, and temperature proxy data from the European Project for Ice Coring in Antarctica (EPICA) Dome-C ice core, which are characterized by 100 ky glacial cycles overlain by fluctuations across a wide range of timescales. We quantify this behavior through mult…

  • Thermodynamic cost of erasing information in finite time

    Physical Review Research · 2023-05-09 · 9 citations

    articleOpen accessSenior author

    The Landauer principle sets a fundamental thermodynamic constraint on the minimum amount of heat that must be dissipated to erase one logical bit of information through a quasistatically slow protocol. For finite time information erasure, the thermodynamic costs depend on the specific physical realization of the logical memory and how the information is erased. Here we treat the problem within the paradigm of a Brownian particle in a symmetric double-well potential. The two minima represent the…

  • Soft matter physics of the ground beneath our feet

    Soft Matter · 2024-01-01 · 8 citations

    reviewOpen access

    The soft part of the Earth's surface - the ground beneath our feet - constitutes the basis for life and natural resources, yet a general physical understanding of the ground is still lacking. In this critical time of climate change, cross-pollination of scientific approaches is urgently needed to better understand the behavior of our planet's surface. The major topics in current research in this area cross different disciplines, spanning geosciences, and various aspects of engineering, material…

  • Seasonal Evolution of the Arctic Sea Ice Thickness Distribution

    Journal of Geophysical Research Oceans · 2023-05-01 · 5 citations

    articleOpen accessSenior authorCorresponding

    Abstract The Thorndike et al. (1975, https://doi.org/10.1029/jc080i033p04501 ) theory of the ice thickness distribution, g ( h ), treats the dynamic and thermodynamic aggregate properties of the ice pack in a novel and physically self‐consistent manner. Therefore, it has provided the conceptual basis of the treatment of sea‐ice thickness categories in climate models. The approach, however, is not mathematically closed due to the treatment of mechanical deformation using the redistribution functi…

Recent grants

Frequent coauthors

  • Woosok Moon

    189 shared
  • L. T. Giorgini

    97 shared
  • Sahil Agarwal

    Christ University

    87 shared
  • Srikanth Toppaladoddi

    75 shared
  • Robert W. Style

    69 shared
  • Eric R. Dufresne

    49 shared
  • Andrew Wells

    University of Oxford

    48 shared
  • Andong He

    Yale University

    41 shared

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