相关实验视频
Updated: May 28, 2025

07:28
Evolution of Staircase Structures in Diffusive Convection
Published on: September 5, 2018
6.4K
不是那么随机:稳定的动态控制浅层对流云
Ilan Koren1, Tom Dror1, Elizabeth-Ruth Shehter1
1Department of Earth and Planetary Sciences, Weizmann Institute of Sciences, Rehovot, Israel.
概括
海洋层积云看起来稀疏,但是在有组织的,连续的对流细胞网中形成的. 这种底层结构独立于可见云层而运作,在看似随机的云层中揭示了一个隐藏的组织.
科学领域:
- 大气科学 大气科学
- 云物理 云物理
- 海洋学 海洋学 海洋学
背景情况:
- 浅,稀疏,没有沉的海洋对流云通常被视为无组织的.
- 它们的形成与随机局部扰动有关,产生浮动粒子.
- 这种稀疏性表明云与云之间的相互作用是最小的.
研究的目的:
- 研究稀疏海洋对流云的基础组织和形成机制.
- 挑战人们对这些云的看法,认为这些云是高度混乱的.
- 为了识别独立于可见云形成的连续对流过程.
主要方法:
- 分析卫星图像和大气数据.
- 对流模型和模拟.
- 对海洋边界层动态的观测数据分析.
主要成果:
- 稀疏的海洋云形成在一个稳定,密集的网状连续运行的对流细胞.
- 这种底层的对流结构存在,无论可见的云层形成如何.
- 电流细胞表现出高度的组织性和稳定性.
结论:
- 海洋层积云,尽管它们看起来稀疏,但起源于一个强大而有组织的底层对流系统.
- 流细胞的连续运行挑战了关于它们的形成和相互作用的先前假设.
- 了解这个隐藏的组织对于准确的气候和天气建模至关重要.
相关概念视频
Boundary Layer Characteristics
28
When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
28
Static, Stagnation, Dynamic and Total Pressure
194
The concept of static, stagnation, dynamic, and total pressure is fundamental in fluid dynamics, often explained using Bernoulli's equation:
194
Precipitation Processes
408
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...
408
Pole and System Stability
239
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
239
Stability of Equilibrium Configuration
426
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
426
Influence of Earth's Curvature and Atmospheric Refraction on Leveling
50
During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance.
50

