Jove
Visualize
Contact Us

Related Concept Videos

High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

1.4K
The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
1.4K
Typical Model Studies01:30

Typical Model Studies

359
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
359
Membrane Fluidity01:23

Membrane Fluidity

152.4K
Cell membranes are composed of phospholipids, proteins, and carbohydrates loosely attached to one another through chemical interactions. Molecules are generally able to move about in the plane of the membrane, giving the membrane its flexible nature called fluidity. Two other features of the membrane contribute to membrane fluidity: the chemical structure of the phospholipids and the presence of cholesterol in the membrane.
152.4K

You might also read

Related Articles

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

Sort by
Same journal

Physical Drivers of a Massive Harmful Algal Bloom in the Northern Bering and Chukchi Seas in Summer 2022.

Journal of geophysical research. Oceans·2025
Same journal

Direct Observations of Coastally Generated Near-Inertial Waves During a Wind Event.

Journal of geophysical research. Oceans·2024
Same journal

An Improved Bio-Physical Parameterization for Ocean Radiant Heating in Conditions of Near-Surface Stratification.

Journal of geophysical research. Oceans·2024
Same journal

An Assessment of Subseasonal Prediction Skill of the Antarctic Sea Ice Edge.

Journal of geophysical research. Oceans·2024
Same journal

Feedbacks Between Estuarine Metabolism and Anthropogenic CO<sub>2</sub> Accelerate Local Rates of Ocean Acidification and Hasten Threshold Exceedances.

Journal of geophysical research. Oceans·2024
Same journal

Is the State of the Air-Sea Interface a Factor in Rapid Intensification and Rapid Decline of Tropical Cyclones?

Journal of geophysical research. Oceans·2023
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: Jul 4, 2025

Single Particle Cryo-Electron Microscopy: From Sample to Structure
11:52

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

8.5K

Sea Ice Properties in High-Resolution Sea Ice Models.

Jinlun Zhang1

  • 1Polar Science Center Applied Physics Laboratory University of Washington Seattle WA USA.

Journal of Geophysical Research. Oceans
|January 29, 2024
PubMed
Summary
This summary is machine-generated.

Higher resolution Arctic sea ice-ocean models (2-6 km) show similar large-scale sea ice properties. Model parameters may not need frequent adjustment across scales, though finer resolutions better capture sea ice leads.

Keywords:
Arctichigh‐resolution modelingsea icesea ice rheologysea ice strength parameter

More Related Videos

Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

7.0K
The Use of High-resolution Infrared Thermography HRIT for the Study of Ice Nucleation and Ice Propagation in Plants
09:36

The Use of High-resolution Infrared Thermography HRIT for the Study of Ice Nucleation and Ice Propagation in Plants

Published on: May 8, 2015

9.6K

Related Experiment Videos

Last Updated: Jul 4, 2025

Single Particle Cryo-Electron Microscopy: From Sample to Structure
11:52

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

8.5K
Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

7.0K
The Use of High-resolution Infrared Thermography HRIT for the Study of Ice Nucleation and Ice Propagation in Plants
09:36

The Use of High-resolution Infrared Thermography HRIT for the Study of Ice Nucleation and Ice Propagation in Plants

Published on: May 8, 2015

9.6K

Area of Science:

  • * Climate modeling
  • * Arctic Oceanography
  • * Sea ice physics

Background:

  • * Accurate simulation of Arctic sea ice dynamics is crucial for understanding climate change impacts.
  • * Previous studies suggest model resolution influences sea ice representation, but optimal scales remain debated.

Purpose of the Study:

  • * To investigate the impact of uniform horizontal resolution on an Arctic sea ice-ocean model.
  • * To assess whether increasing model resolution improves performance against observations.
  • * To determine the sensitivity of sea ice properties to resolution within specific scales.

Main Methods:

  • * An Arctic sea ice-ocean model was configured at three uniform horizontal resolutions: 6 km, 4 km, and 2 km.
  • * Identical sea ice and ocean model parameterizations were used, including viscous-plastic rheology, mechanical ice strength, and ridging parameterizations.
  • * The model was driven by consistent atmospheric forcing, and results were compared against NASA IceBridge ice thickness observations.

Main Results:

  • * All model resolutions produced similar spatial patterns and temporal variations in ice thickness and motion.
  • * Total ice volume, mean ice concentration, ice speed, and thickness fractions showed nearly identical seasonal evolution across resolutions.
  • * Increasing resolution from 6 km to 2 km did not significantly improve model performance compared to observations, indicating insensitivity of large-scale properties.

Conclusions:

  • * Large-scale Arctic sea ice properties simulated by this model are largely insensitive to resolution increases within the 2-10 km range.
  • * Model parameters developed for coarser resolutions may be applicable to higher or multi-scale resolutions.
  • * While mean sea ice states were similar, finer resolution (2 km) better captured the spatial and temporal distribution of sea ice leads, though not identical to observations.