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相关概念视频

Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

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Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
2.2K
Adiabatic Processes for an Ideal Gas01:18

Adiabatic Processes for an Ideal Gas

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When an ideal gas is compressed adiabatically, that is, without adding heat, work is done on it, and its temperature increases. In an adiabatic expansion, the gas does work, and its temperature drops. Adiabatic compressions actually occur in the cylinders of a car, where the compressions of the gas-air mixture take place so quickly that there is no time for the mixture to exchange heat with its environment. Nevertheless, because work is done on the mixture during the compression, its...
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Pressure and Volume in an Adiabatic Process01:27

Pressure and Volume in an Adiabatic Process

2.7K
Free expansion of a gas is an adiabatic process. However, there are few differences between free expansion and adiabatic expansion. During free expansion, no work is done, and there is no change in internal energy. But, for an adiabatic expansion, work is done, and there is a change in internal energy. During an adiabatic process, the relation between the pressure and volume is obtained from the condition for the adiabatic process, that is, 
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Measurement of Air Content in Concrete01:23

Measurement of Air Content in Concrete

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Air content measurement in concrete is critical for ensuring structural integrity and durability of concrete structures, especially in environments prone to severe weather conditions. Accurate air content analysis optimizes concrete's resistance to freeze-thaw cycles and enhances its workability and strength. Several methods are standardized under ASTM guidelines to measure the air content in fresh concrete, each suitable for different concrete types and conditions.
The pressure method,...
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Isochoric and Isobaric Processes01:21

Isochoric and Isobaric Processes

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A thermodynamic process that occurs at constant volume is called an isochoric process. According to the first law of thermodynamics, heat supplied or removed from the system is partially utilized to perform work and change the internal energy of the system. However, in an isochoric process, the volume remains constant. Hence, the work done by the system is zero. Therefore, the exchange of heat changes the internal energy of the system only. 
Suppose 1000 g of water is heated from 40...
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Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer02:57

Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer

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Gas pressure is caused by force exerted by gas molecules colliding with the surfaces of objects. Although the force of each collision is very small, any surface of an appreciable area experiences a large number of collisions in a short time, which can result in high pressure.
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Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
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将大气数据压缩成其真实信息内容.

Milan Klöwer1, Miha Razinger2, Juan J Dominguez2

  • 1Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK. milan.kloewer@physics.ox.ac.uk.

Nature computational science
|January 13, 2024
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概括
此摘要是机器生成的。

天气和气候数据是高度可压缩的. 通过识别和删除多余的信息,科学家可以实现显著的数据压缩,保留预测的关键细节.

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科学领域:

  • 气象学和气候科学 气象学和气候科学
  • 信息理论 信息理论
  • 数据科学数据科学数据科学

背景情况:

  • 全球天气和气候中心每年产生大量数据 (数百倍字节).
  • 有效的数据压缩对于存储和共享这些气候数据至关重要.
  • 现有的压缩方法无法区分真实和虚假信息,因此数据的精度没有得到评估.

研究的目的:

  • 定义和量化哥白尼天文大气监测服务 (CAMS) 数据的比特级真实信息内容.
  • 为天气和气候数据开发优化的压缩策略.
  • 提出一个数据压缩图灵测试来评估可压缩性和信息丢失.

主要方法:

  • 应用信息理论来定义CAMS数据中的真实信息内容.
  • 分析时空相关性,以评估数据的可压缩性.
  • 实现了无损压缩算法,在经过非信息性比特的圆形化后.
  • 评估压缩比和信息保存.

主要成果:

  • 大多数CAMS变量每值都包含不到7位的真实信息.
  • 与64位浮动相比,实现了17×的数据压缩系数,保留了99%的真实信息.
  • 结合四维压缩,得到了超过60×的因数.
  • 绕过非信息位方便无损压缩,并编码数据不确定性.

结论:

  • 由于固有的相关性,天气和气候数据具有很高的可压缩性.
  • 一种新的数据压缩方法有效地减少了存储,同时保留了关键信息.
  • 拟议的压缩图灵测试可以指导优化用于天气和气候预报的最终用途应用.