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 Concept Videos

Multimachine Stability01:25

Multimachine Stability

589
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
589
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

3.3K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
3.3K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

341
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
341
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

5.0K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
5.0K
Entropy and Solvation02:05

Entropy and Solvation

8.6K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
8.6K
Electrostatic Boundary Conditions01:16

Electrostatic Boundary Conditions

1.0K
Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
The surface integral of an electric field is given by Gauss's law in integral form and is related to...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Climate network reveals cross-seasonal teleconnections between heatwaves and cold waves.

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

Global patterns of extreme temperature teleconnections using climate network analysis.

Chaos (Woodbury, N.Y.)·2025
Same author

Global emergence of regional heatwave hotspots outpaces climate model simulations.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

Order parameter dynamics in complex systems: From models to data.

Chaos (Woodbury, N.Y.)·2024
Same author

Exploring the intensity, distribution and evolution of teleconnections using climate network analysis.

Chaos (Woodbury, N.Y.)·2023
Same author

Non-negative matrix factorization for overlapping community detection in directed weighted networks with sparse constraints.

Chaos (Woodbury, N.Y.)·2023
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

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

State estimation in spatiotemporal chaos via low-rank StatFEM.

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

Universal response functions in driven dissipative tunneling dynamics.

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

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

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

Data-driven soliton manifold approximations for dark and bright waves: Some prototypical 1D case examples.

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

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

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

Related Experiment Video

Updated: Feb 22, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K

Predicting ENSO dynamics with network and complexity analyses.

Josef Ludescher1, Jun Meng2, Jingfang Fan3

  • 1Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, 14412 Potsdam, Germany.

Chaos (Woodbury, N.Y.)
|February 20, 2026
PubMed
Summary
This summary is machine-generated.

Forecasting El Niño Southern Oscillation (ENSO) events is now possible a year in advance using climate network and complexity-based approaches. These methods, including the Oceanic Niño Index, enable probabilistic predictions for El Niño, La Niña, and neutral events.

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.8K

Related Experiment Videos

Last Updated: Feb 22, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.8K

Area of Science:

  • Climate Science
  • Oceanography
  • Meteorology

Background:

  • The El Niño Southern Oscillation (ENSO) comprises El Niño, La Niña, and neutral phases.
  • Accurate forecasting of ENSO phases is crucial for predicting global climate patterns.

Purpose of the Study:

  • To develop advanced methods for forecasting ENSO events, including their onset and magnitude.
  • To enable probabilistic forecasting for all three ENSO phases (El Niño, La Niña, neutral).

Main Methods:

  • Utilized a climate network approach for forecasting El Niño onset.
  • Employed a complexity-based approach for predicting El Niño onset and magnitude.
  • Introduced the interannual Oceanic Niño Index relationship as a predictor for La Niña and neutral events.

Main Results:

  • Successfully forecasted the absence of an El Niño event in 2025 with 91.4% probability.
  • Predicted a neutral ENSO event as the most likely outcome for 2025 with 69.6% probability.
  • Anticipated a temporary decrease in global mean temperature due to the forecasted ENSO conditions.

Conclusions:

  • The combination of climate network, complexity-based, and Oceanic Niño Index approaches provides a robust framework for probabilistic ENSO forecasting.
  • These integrated methods enhance the ability to predict all ENSO phases a year in advance.
  • Accurate ENSO predictions aid in anticipating associated global temperature variations.