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相关概念视频

Absorption of Radiation01:05

Absorption of Radiation

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The rate of heat transfer by emitted radiation is described by the Stefan-Boltzmann law of radiation:
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Radiation Pressure: Problem Solving01:09

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The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
The average value of the rate of momentum transfer divided by the absorbing area represents the average force...
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Maxwell-Boltzmann Distribution: Problem Solving01:20

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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).
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Radiation: Applications01:17

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The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
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Differential Form of Maxwell's Equations01:17

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James Clerk Maxwell (1831–1879) was one of the significant contributors to physics in the nineteenth century. He is probably best known for having combined existing knowledge of the laws of electricity and the laws of magnetism with his insights to form a complete overarching electromagnetic theory, represented by Maxwell's equations. The four basic laws of electricity and magnetism were discovered experimentally through the work of physicists such as Oersted, Coulomb, Gauss, and...
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There are three methods by which heat transfer can take place: conduction, convection, and radiation. Each method has unique and interesting characteristics, but all three have two things in common: they transfer heat solely because of a temperature difference; and the greater the temperature difference, the faster the heat transfer.
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物理约束 基于深度学习的辐射转移模型

Quanhua Liu, XingMing Liang

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    此摘要是机器生成的。

    我们开发了一种物理限制的深度学习辐射传输模型,用于海洋. 这个模型准确地捕捉了辐射灵敏度,克服了先前深度学习方法在地物理参数检索方面的局限性.

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    科学领域:

    • 大气科学 大气科学
    • 海洋学 海洋学 海洋学
    • 遥感 遥感 遥感 遥感

    背景情况:

    • 像TensorFlow,Keras和PyTorch这样的深度学习 (DL) 模型在前向建模应用程序中取得了成功.
    • 现有的DL辐射转移模型用于晴天海洋条件,难以准确地导出诸如雅可比式的物理性质.
    • 雅科比仪对于计算辐射灵敏度对地球物理参数至关重要,对于卫星数据同化和环境数据检索至关重要.

    研究的目的:

    • 开发一个物理限制的深度学习辐射传输模型,用于晴朗的海洋条件.
    • 解决从DL前模型准确预测物理性质的挑战,特别是雅可比式.
    • 为了确保衍生的DL模型保留正确的物理原理.

    主要方法:

    • 在深度学习培训过程中为辐射转移模型实施了物理约束.
    • 使用开源的深度学习库 (例如TensorFlow,Keras,PyTorch).
    • 专注于海洋上的晴天条件.

    主要成果:

    • 物理限制的DL模型成功捕捉了辐射灵敏度 (雅可比式).
    • 该模型克服了多个解决方案在培训期间适应前模型结果的问题.
    • 实现了对卫星辐射同化所需的物理性质的准确预测.

    结论:

    • 在DL训练中引入物理约束使得物理上一致的辐射传递模型的推导成为可能.
    • 开发的DL模型准确地捕捉了Jacobian,提高了其用于卫星数据同化和地球物理参数检索的实用性.
    • 这种方法提高了深度学习在地球观测辐射转移建模中的可靠性和适用性.