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

Spherical Coordinates01:23

Spherical Coordinates

9.8K
Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
9.8K
Gauss's Law: Spherical Symmetry01:26

Gauss's Law: Spherical Symmetry

7.2K
A charge distribution has spherical symmetry if the density of charge depends only on the distance from a point in space and not on the direction. In other words, if the system is rotated, it doesn't look different. For instance, if a sphere of radius R is uniformly charged with charge density ρ0, then the distribution has spherical symmetry. On the other hand, if a sphere of radius R is charged so that the top half of the sphere has a uniform charge density ρ1 and the bottom half...
7.2K
Precipitation Processes01:12

Precipitation Processes

345
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...
345
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.3K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.3K
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

19
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
19
Magnetostatic Boundary Conditions01:28

Magnetostatic Boundary Conditions

840
An electric field suffers a discontinuity at a surface charge. Similarly, a magnetic field is discontinuous at a surface current. The perpendicular component of a magnetic field is continuous across the interface of two magnetic mediums. In contrast, its parallel component, perpendicular to the current, is discontinuous by the amount equal to the product of the vacuum permeability and the surface current. Like the scalar potential in electrostatics, the vector potential is also continuous...
840

You might also read

Related Articles

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

Sort by
Same author

Structural benefits of bisphenol S and its analogs resulting in their high sorption on carbon nanotubes and graphite.

Environmental science and pollution research international·2016
Same author

Effects of norspermidine on Pseudomonas aeruginosa biofilm formation and eradication.

MicrobiologyOpen·2016
Same author

Bio-inspired Plasmonic Nanoarchitectured Hybrid System Towards Enhanced Far Red-to-Near Infrared Solar Photocatalysis.

Scientific reports·2016
Same author

Influence of type and proportion of lyoprotectants on lyophilized ginsenoside Rg3 liposomes.

The Journal of pharmacy and pharmacology·2016
Same author

Synthesis and Properties of a Novel FRET-Based Ratiometric Fluorescent Sensor for Cu(2.).

Journal of fluorescence·2016
Same author

Diabetes-related metabolic risk factors in internal migrant workers in China: a national surveillance study.

The lancet. Diabetes & endocrinology·2016

Related Experiment Video

Updated: May 16, 2025

Bringing the Visible Universe into Focus with Robo-AO
10:35

Bringing the Visible Universe into Focus with Robo-AO

Published on: February 12, 2013

19.3K

Spherical multigrid neural operator for improving autoregressive global weather forecasting.

Yifan Hu1,2, Fukang Yin3, Weimin Zhang4

  • 1College of Computer Science and Technology, National University of Defense Technology, Changsha, 410073, People's Republic of China.

Scientific Reports
|April 3, 2025
PubMed
Summary
This summary is machine-generated.

A new spherical multigrid neural operator (SMgNO) improves global weather forecasting accuracy and reduces computational costs. This data-driven approach enhances predictions by addressing spherical distortions more efficiently than previous methods.

Keywords:
Autoregressive forecastsGlobal weather forecastingMultigrid neural operatorSpherical convolutionSpherical shallow water equations

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

10.6K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.5K

Related Experiment Videos

Last Updated: May 16, 2025

Bringing the Visible Universe into Focus with Robo-AO
10:35

Bringing the Visible Universe into Focus with Robo-AO

Published on: February 12, 2013

19.3K
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

10.6K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.5K

Area of Science:

  • * Meteorology and Atmospheric Science
  • * Artificial Intelligence and Machine Learning
  • * Computational Science

Background:

  • * Data-driven global weather forecasting models show promise but face challenges with spherical distortions, impacting forecast stability.
  • * Conventional architectures and existing methods like spherical Fourier neural operator (SFNO) struggle with computational efficiency due to spherical harmonic convolution.
  • * High computational costs limit the practical application of advanced neural operators in weather prediction.

Purpose of the Study:

  • * To introduce a novel spherical multigrid neural operator (SMgNO) designed to overcome the limitations of existing weather forecasting models.
  • * To enhance the accuracy and stability of autoregressive forecasts on a spherical domain.
  • * To significantly reduce the computational resources required for global weather forecasting.

Main Methods:

  • * Integration of spherical harmonic convolution with a low-resolution spherical Fourier neural operator (SFNO) within a multigrid framework.
  • * Development of the spherical multigrid neural operator (SMgNO) to effectively mitigate spherical data distortions.
  • * Experimental validation using spherical shallow water equations and medium-range global weather forecasting.

Main Results:

  • * SMgNO demonstrated superior performance in medium-range global weather forecasting, showing a 9.31% improvement in anomaly correlation coefficient over IFS T42 for 500 hPa geopotential height (7-day lead time).
  • * SMgNO achieved a 6.83% improvement in anomaly correlation coefficient over SFNO for the same forecasting task.
  • * The proposed SMgNO requires only 10% of the floating-point operations of SFNO for forward propagation and 30.90% less GPU memory during training, indicating significant computational savings.

Conclusions:

  • * SMgNO effectively alleviates data distortions inherent in spherical forecasting architectures.
  • * The model offers a computationally efficient and robust solution for data-driven global weather forecasting.
  • * SMgNO represents a significant advancement in applying neural operators to complex atmospheric prediction problems.