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

Quantifying Heat02:46

Quantifying Heat

54.7K
Thermal Energy Microscopically, thermal energy is the kinetic energy associated with the random motion of atoms and molecules. Temperature is a quantitative measure of “hot” or “cold”, which depends on the amount of thermal energy. When the atoms and molecules in an object are moving or vibrating quickly, they have a higher average kinetic energy (KE) (or higher thermal energy), and the object is perceived as “hot”, or it is described as being at a...
54.7K
Heat Capacity: Problem-Solving01:17

Heat Capacity: Problem-Solving

542
The heat capacity of a gas is the amount of heat energy required to raise the temperature of a unit mass of gas by one degree Celsius. It is an important thermodynamic property of gases, and its determination is essential in many industrial and scientific applications. Here are the steps to solve problems related to the heat capacities of gases:
Determine the type of gas: The heat capacity of a gas depends on its molecular structure and the degree of freedom of its molecules. Different types of...
542
Global Climate Change01:50

Global Climate Change

24.5K
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.
24.5K
Heat Flow and Specific Heat01:12

Heat Flow and Specific Heat

5.5K
Heat is a type of energy transfer that is caused by a temperature difference, and it can change the temperature of an object. Since heat is a form of energy, its SI unit is the joule (J). Another common unit of energy often used for heat is the calorie (cal), which is defined as the energy needed to change the temperature of 1 g of water by 1 °C, specifically between 14.5 °C and 15.5 °C, since the energy needed shows a slight temperature dependence. Another commonly used unit is...
5.5K
Thermal Stress01:09

Thermal Stress

2.5K
If the temperature of an object is changed while it is prevented from expanding or contracting, the object is subjected to stress. The stress is compressive if the object expands in the absence of constraint and tensile if it contracts. This stress resulting from temperature change is known as thermal stress. It can be quite large and can cause damage. To avoid this stress, engineers may design components so they can expand and contract freely. For instance, on highways, gaps are deliberately...
2.5K
Mechanisms of Heat Transfer II01:20

Mechanisms of Heat Transfer II

3.3K
In convection, thermal energy is carried by the large-scale flow of matter. Ocean currents and large-scale atmospheric circulation, which result from the buoyancy of warm air and water, transfer hot air from the tropics toward the poles and cold air from the poles toward the tropics. The Earth’s rotation interacts with those flows, causing the observed eastward flow of air in the temperate zones. Convection dominates heat transfer by air, and the amount of available space for the airflow...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Inequality in human development amplifies climate-related disaster risk.

Nature communications·2026
Same author

Physics-based models outperform AI weather forecasts of record-breaking extremes.

Science advances·2026
Same author

Uncertain dynamic response of mid-latitude winter precipitation.

Nature·2026
Same author

Moderate global warming does not rule out extreme global climate outcomes.

Nature·2026
Same author

Tracking country-level mitigation progress using NGHGI-consistent carbon budgets.

Nature communications·2026
Same author

Detecting anthropogenically induced changes in extreme and seasonal evapotranspiration observations.

Nature communications·2026

Related Experiment Video

Updated: Jul 18, 2025

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

994

Storylines for unprecedented heatwaves based on ensemble boosting.

E M Fischer1, U Beyerle2, L Bloin-Wibe2

  • 1Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland. erich.fischer@env.ethz.ch.

Nature Communications
|August 22, 2023
PubMed
Summary
This summary is machine-generated.

Climate models can forecast extreme heatwaves, even those hotter than previously observed. This research shows how to generate plausible heatwave scenarios to better prepare for future climate extremes.

More Related Videos

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K

Related Experiment Videos

Last Updated: Jul 18, 2025

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

994
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K

Area of Science:

  • Climate Science
  • Extreme Weather Events
  • Climate Modeling

Background:

  • Recent extreme temperature events have surpassed historical records, raising questions about predictability.
  • The intensity of events like the 2021 Pacific Northwest heatwave seemed previously inconceivable.
  • Assessing the potential for such unprecedented events using existing climate models is a critical scientific challenge.

Purpose of the Study:

  • To investigate whether climate model information could have predicted the intensity of extreme heatwaves.
  • To determine if the scientific community could quantify the potential intensity of unprecedented heat events.
  • To develop methods for generating and validating physically plausible extreme heatwave scenarios.

Main Methods:

  • Utilized an ensemble boosting approach to generate climate model-driven heatwave storylines.
  • Applied the methodology to simulate heatwave scenarios exceeding observed intensities.
  • Focused on regions including the Pacific Northwest, Greater Chicago, and Paris.

Main Results:

  • Demonstrated the capability of an ensemble boosting approach to create physically plausible heatwave storylines.
  • Generated scenarios of heatwaves significantly hotter than those historically observed in the Pacific Northwest.
  • Identified the potential for much greater heatwave intensities in regions like Greater Chicago and Paris.

Conclusions:

  • Climate models, when analyzed with advanced techniques, can provide insights into the potential for unprecedented extreme heat events.
  • The development of robust and actionable information on 'black swan'-type climate events requires combining multiple lines of evidence and process understanding.
  • Stakeholders can be better informed for climate adaptation and mitigation through improved predictability of extreme weather.