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

Introduction. Stochastic physics and climate modelling.

T N Palmer1, P D Williams

  • 1European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 1, 2008
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

Response to Comment on: A liberalized diet does not improve caloric intake during neutropenia in patients undergoing hematopoietic stem cell transplants: A prospective randomized controlled trial.

Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition·2025
Same author

Number Formats, Error Mitigation, and Scope for 16-Bit Arithmetics in Weather and Climate Modeling Analyzed With a Shallow Water Model.

Journal of advances in modeling earth systems·2020
Same author

Experimental Non-Violation of the Bell Inequality.

Entropy (Basel, Switzerland)·2020
Same author

Discretization of the Bloch sphere, fractal invariant sets and Bell's theorem.

Proceedings. Mathematical, physical, and engineering sciences·2020
Same author

The Impact of a Stochastic Parameterization Scheme on Climate Sensitivity in EC-Earth.

Journal of geophysical research. Atmospheres : JGR·2020
Same author

The physics of numerical analysis: a climate modelling case study.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2020
Same journal

Inverse FIP effect plasma in the solar atmosphere: a synthesis of current understanding and new insights from AR 11967.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Signs of sulfur fractionation under high magnetic field strength.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

First ionization potential fractionation of sulfur observed with spectral imaging of the coronal environment.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Chromospheric dynamics and turbulence regulate the solar FIP effect.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Exploring the link between wave activity in the photospheric velocity driver and the FIP bias in the solar corona.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Radiative hydrodynamic simulations of first ionization potential fractionation in solar flares.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
See all related articles

Stochastic physics in climate models improves simulations by better representing small-scale processes. This innovative approach overcomes limitations of traditional methods for more accurate climate projections.

Area of Science:

  • Climate Science
  • Atmospheric Physics
  • Oceanography

Background:

  • Global climate simulations are limited by finite computing resources, restricting spatial resolution to hundreds of kilometers.
  • Small-scale atmospheric and oceanic processes like convection, clouds, and eddies are inadequately represented in current models.
  • Climate simulation outcomes are sensitive to how these unresolved processes are parameterized using bulk formulas.

Discussion:

  • Stochastic physics schemes offer a novel approach to modeling the dynamical impacts of unresolved scales.
  • These schemes have the potential to surpass the capabilities of conventional bulk-formula representations.
  • The integration of stochastic physics is a key area of advancement in climate modeling.

Key Insights:

  • Stochastic physics can more accurately represent sub-grid scale processes than traditional methods.

Related Experiment Videos

  • This advancement is crucial for improving the reliability of climate simulations.
  • The application of stochastic physics represents a significant innovation in climate modeling.

    • Outlook:

    • Further research and application of stochastic physics are expected to enhance climate model performance.
    • This innovative technique holds promise for more accurate climate change predictions.
    • Continued development in stochastic modeling is vital for addressing the challenges of climate simulation.