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

Global Climate Change01:50

Global Climate Change

29.7K
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.
29.7K
What is Climate?01:16

What is Climate?

21.4K
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.
21.4K
Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

4.4K
Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
4.4K
Precipitation Processes01:12

Precipitation Processes

6.5K
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
6.5K
Microbes and Climate Change01:27

Microbes and Climate Change

52
Microorganisms are pivotal agents in Earth's biogeochemical cycles, significantly influencing climate dynamics through their metabolic activities. These microbes modulate the levels of key greenhouse gases by both contributing to and helping mitigate climate change.Microbial Contributions to Greenhouse Gas EmissionsRising global temperatures accelerate microbial metabolism, which, in turn, speeds up the decomposition of organic matter. This process releases carbon dioxide (CO₂) through...
52
Forced Oscillations01:06

Forced Oscillations

8.2K
When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.
8.2K

You might also read

Related Articles

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

Sort by
Same author

Metastability and teleconnection of atmospheric circulation via hidden Markov models and network modularity.

Scientific reports·2025
Same author

Alternative Cancer Therapeutics: Unpatentable Compounds and Their Potential in Oncology.

Pharmaceutics·2024
Same author

Isolation and Genetic Characterization of a Novel Adenovirus Associated with Mass Mortality in Great Cormorants (<i>Phalacrocorax carbo</i>).

Avian diseases·2024
Same author

Editorial: Dissertation Award in Statistical and Nonlinear Physics of APS for Dr. Adrian van Kan.

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

Estimating predictability of a dynamical system from multiple samples of its evolution.

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

Revealing recurrent regimes of mid-latitude atmospheric variability using novel machine learning method.

Chaos (Woodbury, N.Y.)·2022

Related Experiment Video

Updated: Mar 31, 2026

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

1.6K

Principal nonlinear dynamical modes of climate variability.

Dmitry Mukhin1, Andrey Gavrilov1, Alexander Feigin1

  • 1Institute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, Russia.

Scientific Reports
|October 23, 2015
PubMed
Summary

This study introduces a new nonlinear method to analyze climate data, revealing key patterns in sea surface temperature (SST). The technique identifies dominant modes driving climate variability, including the annual cycle and El Niño-Southern Oscillation (ENSO).

More Related Videos

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

4.0K
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
10:28

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

6.4K

Related Experiment Videos

Last Updated: Mar 31, 2026

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

1.6K
Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

4.0K
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
10:28

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

6.4K

Area of Science:

  • Climate Science
  • Data Analysis
  • Time Series Analysis

Background:

  • Analyzing complex, space-distributed observational time series is challenging.
  • Understanding the underlying drivers of multivariate climate dynamics is crucial.

Purpose of the Study:

  • To develop a novel nonlinear expansion for analyzing observational time series.
  • To identify and characterize the principal nonlinear manifolds and internal modes driving climate variability.

Main Methods:

  • A new nonlinear expansion technique is proposed.
  • Bayesian optimality is employed to select the optimal nonlinear structure and characteristic time scale.
  • The method is applied to 33 years of global monthly sea surface temperature (SST) data.

Main Results:

  • Three dominant nonlinear modes were extracted from the SST time series.
  • The first mode captures the annual cycle, the second represents El Niño-Southern Oscillation (ENSO) variability.
  • Combined modes explain significant Pacific and Atlantic climate dynamics and relate to decadal variability, including the recent global warming hiatus.

Conclusions:

  • The proposed nonlinear expansion effectively extracts dominant modes from complex climate data.
  • The identified modes provide insights into annual, ENSO, and decadal climate variability.
  • This method aids in understanding climate dynamics and phenomena like the global warming hiatus.