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

Precipitation Processes01:12

Precipitation Processes

3.5K
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...
3.5K
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

3.6K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
3.6K
Precipitation Gravimetry01:03

Precipitation Gravimetry

11.6K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
11.6K
Modeling and Similitude01:12

Modeling and Similitude

495
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...
495
Types of Coprecipitation01:10

Types of Coprecipitation

3.8K
Coprecipitation is the contamination of a precipitate by otherwise soluble species and occurs via different processes. In colloidal precipitates, coprecipitation occurs via surface adsorption. For instance, barium sulfate has a primary layer of adsorbed barium ions and a secondary layer of nitrate counterions. This results in contamination of the precipitate by barium nitrate.
Sometimes, ions in a crystal lattice can undergo isomorphous replacement by inclusions of similar charge and size. For...
3.8K
Precipitation Titration Curve: Analysis01:21

Precipitation Titration Curve: Analysis

1.6K
The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations.

Journal of geophysical research. Atmospheres : JGR·2021
Same author

The impact of simulated mesoscale convective systems on global precipitation: A multiscale modeling study.

Journal of advances in modeling earth systems·2020
Same author

Evaluating the Impact of Assimilating Aerosol Optical Depth Observations on Dust Forecasts Over North Africa and the East Atlantic Using Different Data Assimilation Methods.

Journal of advances in modeling earth systems·2020
See all related articles

Related Experiment Video

Updated: Dec 7, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.3K

Evaluating Precipitation Features and Rainfall Characteristics in a Multi-Scale Modeling Framework.

Jiun-Dar Chern1,2, Wei-Kuo Tao1, Stephen E Lang1,3

  • 1Mesoscale Atmospheric Processes Laboratory NASA Goddard Space Flight Center Greenbelt MD USA.

Journal of Advances in Modeling Earth Systems
|October 1, 2020
PubMed
Summary

This study compares simulated precipitation features (PFs) from a multi-scale modeling framework (MMF) against TRMM satellite data. Findings reveal model biases in PFs, offering insights into cloud and precipitation system simulation improvements.

Keywords:
SuperparameterizationTRMM precipitation featurescyclic boundarymulti‐scale modeling frameworktropical precipitationtwo‐dimensionality

More Related Videos

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
10:35

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff

Published on: April 3, 2014

21.3K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.6K

Related Experiment Videos

Last Updated: Dec 7, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.3K
A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
10:35

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff

Published on: April 3, 2014

21.3K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.6K

Area of Science:

  • Atmospheric Science
  • Climate Modeling
  • Remote Sensing

Background:

  • Accurate simulation of cloud and precipitation systems is crucial for climate research.
  • The Tropical Rainfall Measuring Mission (TRMM) provides valuable observational data for model validation.

Purpose of the Study:

  • To compare precipitation features (PFs) simulated by a multi-scale modeling framework (MMF) with TRMM observations.
  • To develop a methodology for identifying simulated PFs analogous to TRMM's Radar-defined Precipitation Features (RPFs).
  • To identify and quantify model biases in simulating PFs and their contributing mechanisms.

Main Methods:

  • A multi-scale modeling framework (MMF) with embedded two-dimensional (2D) cloud-resolving models (CRMs) was used for simulations.
  • A methodology was developed to generate simulated PFs from CRM output, mirroring TRMM RPFs.
  • Simulated PFs were compared against TRMM RPFs over the Tropics and Subtropics.

Main Results:

  • Simulated PF population distribution, structure, and geographical location showed good agreement with TRMM observations.
  • Model biases were identified and quantified, categorizing PFs into four size groups.
  • Four mechanisms, including CRM dimensionality and domain size, were linked to model biases in different PF size categories.

Conclusions:

  • The MMF shows good agreement with TRMM data for precipitation features, despite limitations of 2D CRMs.
  • Model biases are associated with specific physical mechanisms, particularly in larger PF categories.
  • Increasing CRM domain size in MMF simulations shifts PF populations toward larger sizes, impacting precipitation biases.