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相关概念视频

What is Weather?01:07

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Global Climate Change01:50

Global Climate Change

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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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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...
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Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
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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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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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相关实验视频

Updated: Sep 14, 2025

Using Generative Art to Convey Past and Future Climate Transitions
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一个用于全球天气数据预测机器学习系统.

Xiuyu Sun1, Xiaohui Zhong2, Xiaoze Xu1,3,4

  • 1Shanghai Academy of Artificial Intelligence for Science, Shanghai, China.

Nature communications
|July 19, 2025
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概括

新的机器学习系统FuXi Weather使用更少的数据提供可靠的10天天气预报. 这种先进的系统可以改善数据稀缺地区的预测,优于传统方法.

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科学领域:

  • 气象学 天气学
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 传统的数字天气预报 (NWP) 面临着计算和分辨率的局限性.
  • 机器学习 (ML) 提供了一个替代方案,但通常依赖于NWP输出.
  • 在当前的预测系统中,庞大的观测数据集仍未得到充分利用.

研究的目的:

  • 介绍Fuxi天气,一个基于ML的全球预报系统.
  • 证明其对循环数据同化 (DA) 和预测的能力.
  • 突出其在观察稀疏地区的表现.

主要方法:

  • 开发了一个基于机器学习的全球预测系统 (FuXi天气).
  • 集成的多卫星数据同化 (DA) 具有循环能力.
  • 利用背景预测来限制DA期间的分析.

主要成果:

  • 福西天气以0.25°分辨率生成可靠的10天天气预报.
  • 与传统的NWP相比,该系统需要较少的观测.
  • 在像中非这样的观察稀疏的地区,超过了ECMWF预测的第一天.

结论:

  • 基于机器学习的系统,如FuXi天气,可以提高全球天气预报的准确性.
  • 证明了ML在同化多卫星数据方面的有效性.
  • 在数据有限的地区,显示了改善天气预报的巨大潜力.