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

What is Climate?01:16

What is Climate?

21.3K
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.
21.3K
Global Climate Change01:50

Global Climate Change

29.6K
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.
29.6K
Microbes and Climate Change01:27

Microbes and Climate Change

1
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...
1
Modeling and Similitude01:12

Modeling and Similitude

705
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
705
The Carbon Cycle01:14

The Carbon Cycle

45.4K
Carbon is the basis of all organic matter on Earth, and is recycled through the ecosystem in two primary processes: one in which carbon is exchanged among living organisms, and one in which carbon is cycled over long periods of time through fossilized organic remains, weathering of rocks, and volcanic activity. Human activities, including increased agricultural practices and the burning of fossil fuels, has greatly affected the balance of the natural carbon cycle.
45.4K
Steps in the Modeling Process01:14

Steps in the Modeling Process

789
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
789

You might also read

Related Articles

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

Sort by
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 author

On the use of programmable hardware and reduced numerical precision in earth-system modeling.

Journal of advances in modeling earth systems·2016
Same journal

Computational modelling distinguishes diverse contributors to aneurysmal progression in the Marfan aorta.

Proceedings. Mathematical, physical, and engineering sciences·2025
Same journal

Inferring the shape of data: a probabilistic framework for analysing experiments in the natural sciences.

Proceedings. Mathematical, physical, and engineering sciences·2023
Same journal

The Elbert range of magnetostrophic convection. I. Linear theory.

Proceedings. Mathematical, physical, and engineering sciences·2022
Same journal

Soft wetting with (a)symmetric Shuttleworth effect.

Proceedings. Mathematical, physical, and engineering sciences·2022
Same journal

The quantum theory of time: a calculus for q-numbers.

Proceedings. Mathematical, physical, and engineering sciences·2022
Same journal

Integrable nonlinear evolution equations in three spatial dimensions.

Proceedings. Mathematical, physical, and engineering sciences·2022
See all related articles

Related Experiment Video

Updated: Mar 19, 2026

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
13:27

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

Published on: June 8, 2015

9.3K

A personal perspective on modelling the climate system.

T N Palmer1

  • 1Department of Physics , University of Oxford , Oxford, UK.

Proceedings. Mathematical, Physical, and Engineering Sciences
|June 9, 2016
PubMed
Summary
This summary is machine-generated.

Climate scientists need to accelerate the development of accurate climate models. This involves leveraging mathematical and physics talent, integrating weather and climate predictions, and establishing a European program for extreme climate computing.

Keywords:
International Bureau of Meteorologyclimate predictioncloud-resolved modellingseamless predictionsystematic error

More Related Videos

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
Measurement of Greenhouse Gas Flux from Agricultural Soils Using Static Chambers
11:50

Measurement of Greenhouse Gas Flux from Agricultural Soils Using Static Chambers

Published on: August 3, 2014

42.7K

Related Experiment Videos

Last Updated: Mar 19, 2026

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
13:27

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

Published on: June 8, 2015

9.3K
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
Measurement of Greenhouse Gas Flux from Agricultural Soils Using Static Chambers
11:50

Measurement of Greenhouse Gas Flux from Agricultural Soils Using Static Chambers

Published on: August 3, 2014

42.7K

Area of Science:

  • Climate Science
  • Computational Science
  • Environmental Modeling

Background:

  • Climate models are crucial for societal understanding and decision-making.
  • Current model development lacks sufficient urgency within the climate science community.

Purpose of the Study:

  • To propose strategies for accelerating the development of error-free *ab initio* climate models.
  • To enhance the simulation of climate extremes and their drivers.

Main Methods:

  • Leveraging post-PhD talent in mathematics and physics for next-generation climate models.
  • Developing integrated modeling systems for seamless weather and climate prediction.
  • Proposing a European Programme on Extreme Computing and Climate.

Main Results:

  • A call for increased urgency in developing advanced climate models.
  • Identification of key areas for improvement in climate modeling techniques.
  • A proposed goal of a 1km global climate system model on exascale supercomputers.

Conclusions:

  • Enhanced collaboration with mathematicians and physicists is essential.
  • Seamless integration of weather and climate prediction systems is vital.
  • A dedicated European program can significantly advance climate extreme simulation capabilities.