2020
DOI: 10.1088/1674-4527/20/6/81
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Long-term analysis of clear nights using satellite data considering astronomical sites in western China

Abstract: A large ground-based optical/infrared telescope is being planned for a world-class astronomical site in China. The cloud-free night percentage is the primary meteorological element for evaluation of the sites. The data from satellites GMS, NOAA, and MODIS were used in this research, covering the period from 1996 to 2015. Our data analysis benefits from overlapping results from different independent teams as well as a uniform analysis of selected sites using GMS+NOAA data. Although significant ground-based moni… Show more

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Cited by 15 publications
(12 citation statements)
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“…We also applied our method to two astronomical sites in China, Ali-A and Daocheng. The average fractions of observable nights of Ali-A and Daocheng derived from our method agree with the results from Cao et al (2020) and Feng et al (2020). Moreover, we calculated the average distribution of the FONs above China from 2008 to 2019.…”
Section: Discussionsupporting
confidence: 81%
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“…We also applied our method to two astronomical sites in China, Ali-A and Daocheng. The average fractions of observable nights of Ali-A and Daocheng derived from our method agree with the results from Cao et al (2020) and Feng et al (2020). Moreover, we calculated the average distribution of the FONs above China from 2008 to 2019.…”
Section: Discussionsupporting
confidence: 81%
“…Cao et al (2020) used meteorological data from the satellite of National Oceanic and Atmospheric Administration (NOAA) and GMS to analyze cloud coverage and employed data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on 5. For Ali-A and Daocheng, 89% of the absolute differences between the results from our work and from Cao et al (2020) and Feng et al (2020) are less than 10%, which indicates good agreements. The yearly FONs of these two sites are presented in Figure 3.…”
Section: Comparative Analysis and Discussionmentioning
confidence: 99%
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