比较估算2020年12月贝加尔湖自然领土云量的方法。

IF 0.9 Q4 GEOCHEMISTRY & GEOPHYSICS
S. Podlesny, E. Devyatova, Andrey Saunkin, R. Vasilyev
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引用次数: 0

摘要

本文讨论了使用卫星和模型插值技术获得的云量数据在多大程度上适用于监测大气透明度和确定当地地球物理观测站气辉观测条件的问题。为此,我们根据数码相机将ECMWF的ERA5再分析和NOAA卫星的云量时间动态与夜间大气透明度进行了比较。2020年12月,我们在位于托利村(俄罗斯布里亚特共和国)附近贝加尔湖自然区的日地物理研究所地球物理观测站研究了所处理参数的动态。比较分析显示,ECMWF ERA5气候再分析的云量数据与相机观测到的云量基本一致。缺点是缺乏关于再分析中云量快速变化的信息,以及持续约两小时的云场动力学的正负延迟。由于卫星数据不规则、经过之间的时间间隔大以及难以估计夜间云层,我们无法就卫星数据的适用性得出可靠的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing methods to estimate cloud cover over the Baikal Natural Territory in December 2020.
The paper addresses the issue of how much cloud cover data obtained using satellite and model-interpolation techniques are suitable for monitoring the transparency of the atmosphere and determining conditions for airglow observations at a local geophysical observatory. For this purpose, we compared the temporal dynamics of cloud cover from ECMWF’s ERA5 reanalysis and NOAA satellites with the night atmosphere transparency according to a digital camera. We considered the dynamics of the addressed parameters at the Geophysical Observatory of the Institute of Solar-Terrestrial Physics, located in the Baikal Natural Territory near the village of Tory (Republic of Buryatia, Russia), during December 2020. The comparative analysis showed a generally good agreement between cloud cover data from ECMWF’s ERA5 climate reanalysis and those observed with the camera. Disadvantages are the lack of information on rapid variations in cloud cover in the reanalysis and positive and negative delays in the dynamics of cloud fields that last about two hours. Due to irregular satellite data, large time gaps between passes and difficulties in estimating cloud cover at night, we could not come to reliable conclusions concerning the applicability of satellite data.
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来源期刊
Solar-Terrestrial Physics
Solar-Terrestrial Physics GEOCHEMISTRY & GEOPHYSICS-
CiteScore
1.50
自引率
9.10%
发文量
38
审稿时长
12 weeks
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