Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Statistically relevant conserved quantities for truncated quasigeostrophic flow.

Rafail V Abramov1, Andrew J Majda

  • 1Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012, USA.

Proceedings of the National Academy of Sciences of the United States of America
|March 19, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification.

Entropy (Basel, Switzerland)·2020
Same author

Model Error, Information Barriers, State Estimation and Prediction in Complex Multiscale Systems.

Entropy (Basel, Switzerland)·2020
Same author

Predicting observed and hidden extreme events in complex nonlinear dynamical systems with partial observations and short training time series.

Chaos (Woodbury, N.Y.)·2020
Same author

Using machine learning to predict extreme events in complex systems.

Proceedings of the National Academy of Sciences of the United States of America·2019
Same author

Linear and nonlinear statistical response theories with prototype applications to sensitivity analysis and statistical control of complex turbulent dynamical systems.

Chaos (Woodbury, N.Y.)·2019
Same author

A theory of average response to large jump perturbations.

Chaos (Woodbury, N.Y.)·2019

Researchers identified a key conserved quantity, the integrated third power of potential vorticity, crucial for understanding large-scale geophysical flows. This finding resolves a long-standing scientific debate in statistical mechanics.

Area of Science:

  • Geophysical fluid dynamics
  • Statistical mechanics
  • Computational science

Background:

  • Assessing unresolved scales of motion is critical in science and engineering.
  • A 25-year debate exists on statistically relevant conserved quantities for large-scale equilibrium behavior.
  • Geophysical flows possess numerous conserved quantities, complicating analysis.

Purpose of the Study:

  • To determine which conserved quantities are statistically relevant for geophysical flows.
  • To address the long-standing scientific debate on conserved quantities in statistical mechanics.
  • To investigate the role of potential vorticity powers in equilibrium statistical behavior.

Main Methods:

  • Utilized discrete numerical approximations for geophysical flows.

Related Experiment Videos

  • Employed truncated geophysical flows with topography as a numerical laboratory.
  • Conducted numerical experiments to analyze conserved quantities.
  • Main Results:

    • Established the statistical relevance of the integrated third power of potential vorticity.
    • Confirmed the relevance of energy, circulation, and enstrophy (integrated second power of potential vorticity).
    • Demonstrated the statistical irrelevance of higher powers of potential vorticity ( > 3) for large scales.

    Conclusions:

    • The integrated third power of potential vorticity is a statistically relevant quantity for coarse-grained equilibrium behavior at large scales in geophysical flows.
    • Familiar constraints like energy and enstrophy remain relevant.
    • Higher-order powers of potential vorticity are not statistically relevant for the studied large-scale behaviors.