Jove
Visualize
Contact Us

Related Concept Videos

Eddy Currents01:25

Eddy Currents

2.7K
Since eddy currents occur only in conductors, magnets can separate metals from other materials. For example, in a recycling center, trash is dumped in batches down a ramp, beneath which lies a powerful magnet. Conductors in the trash are slowed by eddy currents, while nonmetals in the trash move on, separating from the metals. This works for all metals, not just ferromagnetic ones.
Other major applications of eddy currents appear in metal detectors and the braking systems of trains and roller...
2.7K
Global Climate Change01:50

Global Climate Change

29.1K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
29.1K
What is Climate?01:16

What is Climate?

21.0K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
21.0K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.2K
VSEPR Theory for Determination of Electron Pair Geometries
46.2K
Prediction Intervals01:03

Prediction Intervals

3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.4K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Effects of grid spacing on high-frequency precipitation variance in coupled high-resolution global ocean-atmosphere models.

Climate dynamics·2022
Same author

El Niño in a changing climate.

Nature·2009
Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exact computation of Lyapunov exponents via system parameters in multi-triangle chaotic maps: Bifurcation analysis and circuit realization.

Chaos (Woodbury, N.Y.)·2026
Same journal

Integrating score-based generative modeling and neural ODEs for accurate representation of multiscale chaotic dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A data-driven tuberculosis model with behavioral changes and saturated treatment: Optimal control and cost-effectiveness study.

Chaos (Woodbury, N.Y.)·2026
Same journal

Breathers, rational solutions, and their exact physical spectra in F = 1 spinor Bose-Einstein condensates.

Chaos (Woodbury, N.Y.)·2026
Same journal

Finite invariant sets with bridging points in logistic IFS.

Chaos (Woodbury, N.Y.)·2026
See all related articles
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 Video

Updated: Feb 16, 2026

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.5K

Ocean eddies and climate predictability.

Ben P Kirtman1, Natalie Perlin1, Leo Siqueira1

  • 1Department of Atmospheric Sciences, University of Miami - Rosenstiel School for Marine and Atmospheric Science, Miami, Florida 33149-1098, USA.

Chaos (Woodbury, N.Y.)
|January 1, 2018
PubMed
Summary
This summary is machine-generated.

Mesoscale ocean features significantly boost sea surface temperature variance and enhance climate predictability. These ocean dynamics improve the connection between sea surface temperature signals and weather noise, crucial for understanding climate variability.

More Related Videos

Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors
06:17

Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors

Published on: January 16, 2020

6.2K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

1.5K

Related Experiment Videos

Last Updated: Feb 16, 2026

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.5K
Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors
06:17

Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors

Published on: January 16, 2020

6.2K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

1.5K

Area of Science:

  • Climate Science
  • Oceanography
  • Atmospheric Science

Background:

  • Mesoscale ocean features play a role in climate variability and air-sea interactions.
  • Understanding these interactions is key to improving climate predictability.
  • Coupled climate models are essential tools for studying these phenomena.

Purpose of the Study:

  • To investigate the impact of resolved mesoscale ocean features on climate variability, air-sea interactions, and predictability.
  • To amplify the role of oceanic mesoscale fields and air-sea feedbacks using an interactive ensemble coupling strategy.
  • To diagnose the influence of atmospheric noise on variability and predictability using signal-to-noise ratios.

Main Methods:

  • Utilized coupled climate model simulations and experiments, including control and interactive ensemble coupling simulations.
  • Assessed climate variability through sea surface temperature (SST) variance ratios.
  • Analyzed air-sea coupling changes using convective rainfall-SST and convective rainfall-SST tendency correlations.
  • Employed signal-to-noise ratios to diagnose the relationship between SST-forced signals and weather noise.

Main Results:

  • Mesoscale ocean variability significantly increases SST variance.
  • The presence of mesoscale ocean features further enhances SST variance in interactive ensemble simulations.
  • Oceanic mesoscale features alter the local association between convective rainfall and SST.
  • Mesoscale ocean features significantly strengthen the link between SST-forced signals and weather noise, especially in eddy-rich regions.

Conclusions:

  • Mesoscale ocean activity enhances model-estimated predictability for convective precipitation and upper tropospheric circulation.
  • Resolved mesoscale ocean features are critical components influencing climate variability and predictability.
  • The interactive ensemble coupling strategy effectively highlights the impact of oceanic mesoscale fields on air-sea feedbacks.