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Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

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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...
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Precipitation Processes01:12

Precipitation Processes

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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...
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Precipitation Gravimetry01:03

Precipitation Gravimetry

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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...
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Precipitation Titration Curve: Analysis01:21

Precipitation Titration Curve: Analysis

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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,...
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Precipitation Titration: Overview01:26

Precipitation Titration: Overview

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Precipitation titration involves the reaction of a titrant and an analyte to generate an insoluble precipitate. While precipitation titration uses various precipitating agents, silver nitrate is the most common precipitating reagent; titrations involving Ag+ are called argentometric titrations. Usually, the endpoint in a precipitation titration can be detected by visual indicators.
A precipitation titration curve demonstrates the change in concentration of the titrant or analyte upon adding the...
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Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

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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...
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A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
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Scientific data from precipitation driver response model intercomparison project.

Gunnar Myhre1, Bjørn Samset2, Piers M Forster3

  • 1CICERO - Center for International Climate Research, Oslo, Norway. gunnar.myhre@cicero.oslo.no.

Scientific Data
|March 31, 2022
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Summary
This summary is machine-generated.

This study provides key data from General Circulation Model (GCM) simulations within the Precipitation Driver and Response Model Intercomparison Project (PDRMIP). The data enhances understanding of climate responses to greenhouse gases, aerosols, and solar radiation changes.

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Area of Science:

  • Climate Science
  • Atmospheric Science
  • Earth System Science

Background:

  • General Circulation Models (GCMs) are crucial for simulating climate dynamics.
  • Understanding climate sensitivity to various forcings is a key scientific challenge.
  • The Precipitation Driver and Response Model Intercomparison Project (PDRMIP) facilitates standardized GCM experiments.

Purpose of the Study:

  • To present essential scientific data from PDRMIP GCM simulations.
  • To improve the understanding of Earth's climate response to perturbations in radiative forcings.
  • To provide accessible global and annual mean results from coupled atmospheric-ocean GCMs.

Main Methods:

  • Utilized idealized perturbation experiments with coupled atmospheric-ocean GCMs.
  • Performed simulations analyzing changes in greenhouse gases, aerosols, and solar radiation.
  • Compiled and described global and annual mean results for easy data extraction.

Main Results:

  • Reported main scientific values from PDRMIP GCM simulations.
  • Provided global and annual mean temperature and precipitation changes.
  • Detailed a method for straightforward data file extraction from the dataset.

Conclusions:

  • The PDRMIP dataset offers valuable insights into complex climate model behavior.
  • This data is expected to be highly useful for analyzing future climate simulations.
  • The findings support understanding climate system responses to radiative forcing changes.