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

Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

126
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
126
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

167
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
167
Density, Specific Weight, Specific Gravity and Compressibility of Fluid01:27

Density, Specific Weight, Specific Gravity and Compressibility of Fluid

736
Density, specific weight, specific gravity, and compressibility are fundamental properties of fluids. Density is the mass per unit volume, characterizing the mass of a fluid system. It influences buoyancy, pressure, flow dynamics, viscosity, thermal conductivity, and sound propagation. For instance, in pipeline design, accurate density measurements ensure that the pipeline can handle the fluid's mass.
Specific weight represents the weight per unit volume and is calculated by multiplying...
736
Density00:56

Density

15.6K
Density is an important characteristic of substances, crucial in determining whether an object sinks or floats in a fluid. Its SI unit is kg/m3, and its cgs unit is g/cm3. The density of an object helps in identifying its composition, and also reveals information about the phase of the matter and its substructure. The densities of liquids and solids are roughly comparable, consistent with the fact that their atoms are in close contact. However, gases have much lower densities than liquids and...
15.6K
Bernoulli's Equation for Flow Normal to a Streamline01:16

Bernoulli's Equation for Flow Normal to a Streamline

944
Bernoulli's equation for flow normal to a streamline explains how pressure varies across curved streamlines due to the outward centrifugal forces induced by the fluid's curvature. The pressure is higher on the inner side of the curve, near the center of curvature, and decreases outward to balance these centrifugal forces.
The pressure difference depends on the fluid's velocity and radius of curvature. The pressure variation is minimal in flows with nearly straight streamlines.
944
Plane Potential Flows01:23

Plane Potential Flows

453
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
453

You might also read

Related Articles

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

Sort by
Same author

Functional principal component analysis forsparse censored data.

Biometrika·2026
Same author

A spatiotemporal optimization engine for prescribed burning in the Southeast US.

Ecological informatics·2026
Same author

Psychotherapy and Counseling Providers' Subjective Experiences Serving Survivors of Intimate Partner Violence (IPV): A Scoping Review of Qualitative Research.

Trauma, violence & abuse·2025
Same author

Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning.

PloS one·2024
Same author

Respiratory and allergic outcomes among farmworkers exposed to pesticides in Costa Rica.

The Science of the total environment·2024
Same author

Residential Structural Racism and Prevalence of Chronic Health Conditions.

JAMA network open·2023
Same journal

Dataset of Optimized Structures of Aliphatic Chains Chemisorbed on Si(110) and Si(111) Surfaces via First-Principles Methods.

Scientific data·2026
Same journal

EURO-PROBE - Manual segmentations of the prostate and intraprostatic urethra on T2-weighted MRI.

Scientific data·2026
Same journal

Chromosome-Level Genome Assembly of Southern Africa Mozambique Tilapia (Oreochromis mossambicus) using PacBio HiFi and Omni-C sequencing.

Scientific data·2026
Same journal

Ovarian Stainology: Database of evidence-based immunohistochemical antigen expression in ovarian tumors.

Scientific data·2026
Same journal

A dataset of small protein conformational ensembles from all-atom molecular dynamics simulations.

Scientific data·2026
Same journal

A real-world Fitbit-derived dataset of activity, sleep, and heart rate with matched clinical factors in on-treatment lung cancer patients.

Scientific data·2026
See all related articles

Related Experiment Video

Updated: Sep 14, 2025

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.0K

A Complete Density Correction using Normalizing Flows (CDC-NF) for CMIP6 GCMs.

Shiqi Fang1, Reetam Majumder2, Emily Hector3

  • 1Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, NC, USA. sfang6@ncsu.edu.

Scientific Data
|July 23, 2025
PubMed
Summary
This summary is machine-generated.

A new method called Complete Density Correction using Normalizing Flows (CDC-NF) improves climate model projections by correcting biases in joint distributions. This enhances the accuracy of climate impact studies, especially for extreme weather events.

More Related Videos

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.0K
Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
09:57

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

12.1K

Related Experiment Videos

Last Updated: Sep 14, 2025

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.0K
Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.0K
Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
09:57

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

12.1K

Area of Science:

  • Climate science
  • Atmospheric science
  • Data science

Background:

  • Global Climate Models (GCMs) are crucial for climate projections but suffer from biases, limiting their use in impact assessments.
  • Existing bias correction (BC) methods like quantile mapping fail to accurately represent joint extremes and cross-variable relationships.

Purpose of the Study:

  • To introduce a novel bias correction method, Complete Density Correction using Normalizing Flows (CDC-NF), that addresses limitations of traditional approaches.
  • To improve the representation of GCMs' full joint distribution, particularly for extreme events and multivariate dependencies.

Main Methods:

  • Developed CDC-NF, a method employing invertible transformations to adjust the complete joint distribution of GCM outputs.
  • Applied CDC-NF to daily precipitation and maximum temperature data from CMIP6 GCM projections using NOAA nClimGrid-daily observations.
  • Evaluated CDC-NF against traditional BC methods using metrics like Wasserstein Distance, RMSE, and PBIAS.

Main Results:

  • CDC-NF showed significant improvements over traditional BC methods, especially for the 90th percentile extremes.
  • The method demonstrated enhanced accuracy in preserving cross-correlation structures between variables.
  • Improved performance in modeling compound extreme events was observed.

Conclusions:

  • CDC-NF offers a robust advancement in bias correction for climate model outputs.
  • This method enhances the reliability of climate projections and improves the accuracy of climate impact studies in a changing climate.