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相关概念视频

Global Climate Change01:50

Global Climate Change

24.0K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
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What is Climate?01:16

What is Climate?

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Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
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Radiation: Applications01:17

Radiation: Applications

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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.
The average...
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Mechanisms of Heat Transfer II01:20

Mechanisms of Heat Transfer II

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In convection, thermal energy is carried by the large-scale flow of matter. Ocean currents and large-scale atmospheric circulation, which result from the buoyancy of warm air and water, transfer hot air from the tropics toward the poles and cold air from the poles toward the tropics. The Earth’s rotation interacts with those flows, causing the observed eastward flow of air in the temperate zones. Convection dominates heat transfer by air, and the amount of available space for the airflow...
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Conduction, Convection and Radiation: Problem Solving01:20

Conduction, Convection and Radiation: Problem Solving

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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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What is Weather?01:07

What is Weather?

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Overview
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相关实验视频

Updated: May 15, 2025

Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

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转移气候变化的物理知识.

Francesco Immorlano1,2,3, Veronika Eyring4,5, Thomas le Monnier de Gouville6,7

  • 1Centro Euro-Mediterraneo sui Cambiamenti Climatici Foundation - Euro-Mediterranean Center on Climate Change, Lecce 73100, Italy.

Proceedings of the National Academy of Sciences of the United States of America
|April 8, 2025
PubMed
概括
此摘要是机器生成的。

使用转移学习方法的机器学习,通过将地球系统模型数据与历史观测数据合并,显著降低了21世纪全球表面空气温度预测的不确定性. 这种方法改善了区域模式,缩小了预测,帮助了气候适应努力.

关键词:
在CMIP6中,CMIP6是CMIP6.机器学习 机器学习预测 预测 预测 预测温度的温度的温度的温度的温度不确定性是一种不确定性.

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Simulating Temperature in a Soil Incubation Experiment
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Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
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Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

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Simulating Temperature in a Soil Incubation Experiment
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科学领域:

  • 气候科学 气候科学
  • 机器学习应用 机器学习应用
  • 地球系统建模模型

背景情况:

  • 可靠的气候预测对于适应和减缓战略至关重要.
  • 当前的地球系统模型具有显著的不确定性,限制了投影的准确性.
  • 现有的方法难以捕捉气候系统的非线性复杂性.

研究的目的:

  • 为了减少21世纪全球表面空气温度预测中的不确定性.
  • 利用机器学习优化地球系统模型模拟和历史观测的合并.
  • 改善气候预测中的区域温度模式准确性.

主要方法:

  • 在机器学习中使用转移学习方法.
  • 通过地球系统模型模拟的全球温度地图的综合知识.
  • 纳入观察到的历史温度数据来训练模型.

主要成果:

  • 与最先进的方法相比,实现了超过50%的不确定性降低.
  • 在预测中证明了区域温度模式的改善.
  • 提供更狭窄的预测,不确定性对气候适应至关重要.

结论:

  • 机器学习,特别是转移学习,提供了一个强大的工具,以提高气候预测的可靠性.
  • 开发的方法有效地减少了不确定性,并改善了温度预测中的区域细节.
  • 这种方法对于为有效的气候适应和减缓规划提供信息至关重要.