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Planetary and Space Science, 1992
Abstract The photochemistry of NO, N(2D) and N(4S) and results of recent space measurements of their density distribution are discussed. In particular, the role of the reaction between metastable N(2D) atoms and O2 as a source of O(1D) is discussed in the light of laboratory and aeronomical observations.
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Abstract The photochemistry of NO, N(2D) and N(4S) and results of recent space measurements of their density distribution are discussed. In particular, the role of the reaction between metastable N(2D) atoms and O2 as a source of O(1D) is discussed in the light of laboratory and aeronomical observations.
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Theoretical thermosphere models
Advances in Space Research, 1985Abstract The major solar and geomagnetic energy and momentum inputs which drive the thermosphere have been incorporated in theoretical and numerical three-dimensional and time-dependent models of the thermosphere. Data from recent satellites and from ground-based facilities have been used to test these numerical simulations.
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Planetary and Space Science, 1992
Abstract The Earth's mesosphere and lower thermosphere are the least explored regions of the Earth's atmosphere. The observations that have been made in this region, however, indicate that it is a dynamically active region, especially the polar lower thermosphere where most of the auroral energy that impacts the Earth's atmosphere is deposited.
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Abstract The Earth's mesosphere and lower thermosphere are the least explored regions of the Earth's atmosphere. The observations that have been made in this region, however, indicate that it is a dynamically active region, especially the polar lower thermosphere where most of the auroral energy that impacts the Earth's atmosphere is deposited.
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Ground state of the thermosphere and substorm time thermospheric response
The thermospheric composition (O/N2 ratio and NO) condition represents the state of the thermosphere. Significant changes in thermospheric composition and neutral wind are often observed during non-storm time (e.g. a weak substorm on May 29, 2023) due to continous energy and momentum input from solar wind to the geospace.  It is challenging toYongliang Zhang +4 more
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如果您有任何问题,欢迎您联系第一作者。(电子邮件:panqian@whu.edu.cn) 本文重点介绍了使用62列特征参数作为MLP和BiLSTM积分获得的模型的输入来预测热层质量密度。只有 Swarm 卫星数据用于模型的训练、验证和测试。 一、数据集 或者,您可以创建自己的数据集,该数据集由 62 列输入参数和 1 列输出参数(热层质量密度)组成,如文中所述,所有参数的分辨率线性插值为 10 秒均匀。总体时间范围为2014.02.01-2020.09.30。我们也提供生成的数据集,但由于数据集较大,因此将其拆分为多个文件(subset_i),使用时可以自行合并。 二、守则 模型框架在“模型framework.bmp”中进行了描述,有关详细说明,请参阅本文的模型构造部分,有关具体代码 ...
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