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関連する概念動画

What is Weather?01:07

What is Weather?

Overview
Precipitation Titration: Overview01:26

Precipitation Titration: Overview

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...
Precipitation Gravimetry01:03

Precipitation Gravimetry

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...
Precipitation Processes01:12

Precipitation Processes

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...
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

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...
Surface Integrals of Vector Fields: Flux01:22

Surface Integrals of Vector Fields: Flux

Understanding the movement of air masses is fundamental to meteorological analysis and atmospheric modeling. A key component in this process is quantifying the total mass of air that flows into or out of a defined region over a specified period of time. This is achieved by evaluating the mass flux across a boundary surface, a conceptual tool that simplifies the complex dynamics of atmospheric systems.To begin, an imaginary boundary surface S is introduced, enclosing the region of interest. The...

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関連する実験動画

Updated: Jul 11, 2026

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

大気科学. 大気科学. アンサンブル方法による天気予報

Tilmann Gneiting1, Adrian E Raftery

  • 1Department of Statistics, University of Washington, Box 354322, Seattle, WA 98195, USA. tilmann@stat.washington.edu

Science (New York, N.Y.)
|October 15, 2005
PubMed
まとめ

アンサンブル予報は,天候を予測するために複数のコンピュータの実行を使用し,従来の方法よりもよりよい不確実性推定を提供します. アンサンブルモデリングと普及の改善は,将来の精度のための鍵です.

科学分野:

  • 気象学 気象学 気象学
  • 大気科学 大気科学
  • 気候科学 気候科学

背景:

  • 伝統的な天気予報は,初期条件に基づく単一の予測を提供する決定的モデルに依存しています.
  • 決定論的モデルは,大気システムの固有の不確実性を捉えるのに限界があります.

研究 の 目的:

  • 決定論的方法に対する進歩として,アンサンブル予測の概念を紹介し,説明する.
  • 天気予報における不確実性の定量化におけるアンサンブル予報の利点を強調する.

主な方法:

  • アンサンブル予測は,初期条件やモデルパラメータが異なる複数のシミュレーション (アンサンブル) を実行することを意味します.
  • 予測の不確実性を分析し,解釈するために,統計的テクニックは,アンサンブル出力と統合されます.

主要な成果:

  • アンサンブル予報は,毎日と季節の天気予報の不確実性についてより正確な記述を提供します.
  • このアプローチは,将来の天候の結果を確率的に理解することを可能にします.

結論:

  • アンサンブル予測は,気象学の決定論的モデリングからの大きな変化を表しています.

さらに関連する動画

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
10:28

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

関連する実験動画

Last Updated: Jul 11, 2026

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
10:28

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
14:48

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

  • アンサンブル予測の普及を最適化するために,モデリング,統計分析,視覚化におけるさらなる進歩が必要である.