Jove
Visualize
Contact Us

Related Concept Videos

Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

2.0K
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...
2.0K
Precipitation Processes01:12

Precipitation Processes

578
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...
578
Precipitation Gravimetry01:03

Precipitation Gravimetry

7.3K
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...
7.3K
Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

2.0K
In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
2.0K
Types of Coprecipitation01:10

Types of Coprecipitation

844
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...
844
Errors in Global Positioning System01:26

Errors in Global Positioning System

106
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
106

You might also read

Related Articles

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

Sort by
Same author

On the speed of conscious perception: how soon is now?

The Behavioral and brain sciences·2026
Same author

The Climate Hazards Center Infrared Precipitation with Stations, Version 3.

Scientific data·2026
Same author

Embedded point of care stratified block randomization: demonstration of the point of care randomization (POCR) engine with an electronic health record pragmatic clinical trial.

medRxiv : the preprint server for health sciences·2026
Same author

Intrapartum care for transgender and gender-diverse individuals: an Obstetric Anaesthetists Association (OAA) members' perspective survey (2025).

International journal of obstetric anesthesia·2026
Same author

Ambient AI Scribes in Clinical Practice: A Randomized Trial.

NEJM AI·2026
Same author

Does humidity matter? Prenatal heat and child health in South Asia.

Science advances·2025
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: Sep 6, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.9K

Advancing early warning capabilities with CHIRPS-compatible NCEP GEFS precipitation forecasts.

Laura Harrison1, Martin Landsfeld2, Greg Husak2

  • 1University of California Santa Barbara, Climate Hazards Center and Department of Geography, Santa Barbara, USA. harrison@geog.ucsb.edu.

Scientific Data
|June 30, 2022
PubMed
Summary

The CHIRPS-GEFS dataset offers bias-corrected precipitation forecasts compatible with CHIRPS data. This enhances drought monitoring and early warning systems by improving forecast accuracy and local climatology representation.

More Related Videos

In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.5K
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

8.6K

Related Experiment Videos

Last Updated: Sep 6, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

7.9K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.5K
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

8.6K

Area of Science:

  • Earth and Environmental Science
  • Atmospheric Science
  • Climate Science

Background:

  • The Climate Hazards center InfraRed Precipitation with Stations (CHIRPS) dataset is vital for drought monitoring and impact assessments.
  • The National Centers for Environmental Prediction (NCEP) Global Ensemble Forecast System version 12 (GEFS v12) provides precipitation forecasts.
  • A need exists to bridge the gap between observational data and numerical weather prediction for improved climate analysis.

Purpose of the Study:

  • To introduce CHIRPS-GEFS, an operational dataset providing bias-corrected precipitation forecasts.
  • To enhance the compatibility of GEFS forecasts with CHIRPS data characteristics.
  • To improve the accuracy and local relevance of medium-range precipitation forecasts.

Main Methods:

  • Utilizing NCEP GEFS v12 precipitation forecasts.
  • Applying a rank-based quantile matching procedure to align GEFS forecasts with CHIRPS data.
  • Transforming GEFS reforecast and real-time ensemble means to match CHIRPS spatial-temporal attributes.

Main Results:

  • CHIRPS-GEFS provides daily bias-corrected precipitation forecasts from 1 to 15 days at 0.05-degree resolution.
  • The quantile matching procedure improves the reflection of local climatology in forecasts.
  • Forecasts exhibit reduced moderate-to-large errors, enhancing reliability.

Conclusions:

  • CHIRPS-GEFS effectively integrates observational data with weather predictions.
  • The dataset enables rapid assessment of current forecasts within a local historical context.
  • CHIRPS-GEFS increases the value of both monitoring resources and interoperable forecasts.