Premium
Multiyear satellite and surface observations of cloud fraction over China
Author(s) -
Ma Jinji,
Wu Hao,
Wang Chao,
Zhang Xin,
Li Zhengqiang,
Wang Xianhua
Publication year - 2014
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1002/2013jd021413
Subject(s) - cloud fraction , morning , moderate resolution imaging spectroradiometer , satellite , environmental science , cloud computing , atmospheric sciences , climatology , cloud top , meteorology , cloud cover , china , fraction (chemistry) , remote sensing , geography , geology , physics , chemistry , organic chemistry , astronomy , computer science , operating system , archaeology
Earth observation satellites can provide systematic and continuous monitoring of clouds. High spatial resolution (5 km) cloud fraction data are retrieved from the Moderate Resolution Imaging Spectroradiometer cloud mask products of Terra (12 years) and Aqua (9 years) over China. Long‐term trends of cloud fraction for morning and afternoon observations clearly reflected seasonal variations. We found more clouds in the afternoon than in the morning. There is a strong correlation between satellite and surface observations of the daily cloud fraction for the period of 2012, with correlation coefficients of 0.678 and 0.7 for morning and afternoon, respectively. However, the analyses of the monthly mean cloud fraction between satellite and surface observations showed a larger discrepancy in the winter. In order to investigate the differences between satellite and ground‐based cloud fraction over different underlying surfaces, a statistical test was carried out for six areas. The results indicated statistically significant increased correlations ( p < 0.0001) between satellite and ground‐based cloud fraction in northern China after removing winter data, especially in Northeastern Forest and Taklimakan Desert, while the correlation coefficients in southern China did not show significant changes.