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相关概念视频

Random Error01:04

Random Error

843
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
843
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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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...
2.1K
Gauss's Law01:07

Gauss's Law

7.1K
If a closed surface does not have any charge inside where an electric field line can terminate, then the electric field line entering the surface at one point must necessarily exit at some other point of the surface. Therefore, if a closed surface does not have any charges inside the enclosed volume, then the electric flux through the surface is zero. What happens to the electric flux if there are some charges inside the enclosed volume? Gauss's law gives a quantitative answer to this question.
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Probability Distributions01:32

Probability Distributions

6.8K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
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Probability Histograms01:17

Probability Histograms

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A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
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相关实验视频

Updated: Jun 11, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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使用客观高斯概率密度函数进行全球大气状况分析.

Toshiyuki Ishibashi1

  • 1Meteorological Research Institute, Japan Meteorological Agency, Nagamine 1-1, Tsukuba, Ibaraki, Japan. ishibasi@mri-jma.go.jp.

Scientific reports
|September 27, 2024
PubMed
概括
此摘要是机器生成的。

这项研究通过客观估计概率密度函数 (PDF) 来改进大气状况分析,从而实现更准确的天气预报和热带气旋预测.

更多相关视频

Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

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相关实验视频

Last Updated: Jun 11, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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科学领域:

  • 大气科学 大气科学
  • 数据同化数据同化
  • 气象学 天气学

背景情况:

  • 由于大气的混乱性质,大气状态分析具有挑战性.
  • 目前的数据同化依赖于经验调整的概率密度函数 (PDF),限制了准确性和理论一致性.
  • PDF文件中的不确定性会影响大气状况分析和相关科学领域的可靠性.

研究的目的:

  • 构建一个理论上一致和高度准确的大气状态分析.
  • 在高斯近似下客观地估计PDF用于预测和观测.
  • 提高天气预报和热带气旋轨道预测的准确性.

主要方法:

  • 使用了192个数据同化组合与四维变量方法.
  • 采用了Desroziers的方法来获得对客观高斯PDF估计的样本统计数据.
  • 进行了数值实验,将客观PDF与传统的经验PDF进行比较.

主要成果:

  • 客观高斯式PDF显示了较小的误差差异 (34%的减少) 和更强的观测误差相关性,用于卫星辐射 (>0.8).
  • 分析的大气状态显示有系统的差异,包括在特定地区更冷,更湿的低热层.
  • 理论一致性得到了显著的改善,基于二次的测试显示,从16%上升到95%.

结论:

  • 目标PDF估计提高了大气状态分析的准确性和理论一致性.
  • 改进的分析导致全球预报准确度显著提高 (高达9%) 和增强的热带气旋轨道预测 (约. 20%). 这是一个很好的方法.
  • 这种方法为大气科学提供了更强大的框架,超越了经验限制.