根据地基网络和航空摄影数据分析夜光云场

Pub Date : 2024-07-02 DOI:10.1134/s0001433824700191
N. N. Pertsev, P. A. Dalin, V. I. Perminov, N. K. Gusev, E. Yu. Tsimerinov, A. A. Solodovnik, A. M. Zadorozhny, D. V. Korotyshkin, G. S. Bordonskiy
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引用次数: 0

摘要

摘要 本文分析了 2021 年 6 月的两个晚上,通过地面相机网络和飞机摄影记录的俄罗斯联邦领土上空的夜光云(NLCs)区域。结果表明,飞机摄影可显著提高夜光云可能出现的区域覆盖率。将 NLC 区域与卫星测量温度和水汽混合比得出的水汽凝结模型区域进行了比较。提出了发展飞机观测近地流的实际步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of Noctilucent Cloud Fields According to Ground-Based Network and Airborne Photography Data

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Analysis of Noctilucent Cloud Fields According to Ground-Based Network and Airborne Photography Data

Abstract

This article analyzes fields of noctilucent clouds (NLCs) over the territory of the Russian Federation recorded by a ground-based network of cameras and by aircraft photography over two nights in June 2021. It is demonstrated that aircraft photography can significantly improve the coverage of the territory of probable appearance of NLCs. The NLC fields are compared with model regions of water vapor condensation derived from satellite measurements of temperature and water vapor mixing ratio. Practical steps are proposed for the development of aircraft observations of NLCs.

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