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相关概念视频

What is Weather?01:07

What is Weather?

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Overview
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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 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 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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End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

229
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
229
Types of Coprecipitation01:10

Types of Coprecipitation

537
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...
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Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
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端到端数据驱动的天气预报

Anna Allen1, Stratis Markou2, Will Tebbutt3,4

  • 1Department of Computer Science and Technology, University of Cambridge, Cambridge, UK. av555@cam.ac.uk.

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|March 20, 2025
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概括
此摘要是机器生成的。

Aardvark Weather是一个全新的端到端机器学习系统,取代了传统的数值天气预测 (NWP) 系统. 这种以数据为导向的方法可以实现准确的全球和本地天气预报,超过现有方法.

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科学领域:

  • 人工智能
  • 大气科学
  • 计算科学

背景情况:

  • 准确的天气预报对于许多行业和公共安全至关重要.
  • 机器学习 (ML) 已经增强了数值天气预测 (NWP),但通常仍然依赖NWP组件.
  • 现有的ML模型由于依赖NWP而面临速度和精度的限制.

研究的目的:

  • 开发和评估一个端到端,数据驱动的机器学习系统用于天气预测.
  • 证明一个单一的ML模型可以取代整个NWP管道.
  • 根据已建立的NWP基线评估该系统的性能.

主要方法:

  • 开发了一个端到端的数据驱动系统,
  • 使用ML模型生成全球网格预报和本地站预报.
  • 通过对比Aardvark天气预报与运行NWP基线和最先进的系统.

主要成果:

  • 对于多个变量和预测时间, Aardvark 天气的全球预测超过了NWP的操作基线.
  • 当地站的预测显示了长达10天的技能,与后处理的NWP和人类辅助系统相竞争.
  • 端到端调整进一步提高了当地预测的准确性.

结论:

  • 在部署时不依赖NWP即可实现熟练的天气预报.
  • 数据驱动的端到端机器模型提供了显著的速度和精度优势.
  • 它代表了一代新的天气预测模型,