
Proceedings Paper
Preliminary validation of cloud amount product of FengYun-3D satelliteFormat | Member Price | Non-Member Price |
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Paper Abstract
China’s Fengyun-3D satellite (FY-3D), which can obtain global cloud amount data, was launched in November 2017. In this study, we qualitatively and quantitatively compare the cloud amount products from FY-3D and the moderate resolution imaging spectroradiometer (MODIS) AQUA in July and October,2018. The results show that the global spatial distribution characteristics of the FY-3D cloud amount products is consistent with that of MODIS. The distributions of the cloud amount of the two products are more similar in October, but theFY-3D cloud amount data are generally higher than the MODIS cloud amount data. After strict space-time matching, the matched samples are used for quantitative accuracy evaluation. In July 2018, the absolute error of the FY-3D cloud amount relative to MODIS is 4.5, the relative error is 0.11, the deviation is 1.68, the error standard deviation is 12.11, and the correlation coefficient reaches 84.8%. In October 2018, the absolute error of the FY-3D cloud amount relative to MODIS is 3.20, the relative error is 0.05, the deviation is 1.68, the error standard deviation is 6.38, and the correlation coefficient is 93.4%. The global error distribution shows that at mid-low latitudes, the quality of the two products is similar and the error ranges between -10 and 10%, while at high latitudes the error is relatively large. FY-3D cloud amount products can be used in studies of the global climate and climate change.
Paper Details
Date Published: 9 October 2019
PDF: 6 pages
Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 1115217 (9 October 2019); doi: 10.1117/12.2532795
Published in SPIE Proceedings Vol. 11152:
Remote Sensing of Clouds and the Atmosphere XXIV
Adolfo Comerón; Evgueni I. Kassianov; Klaus Schäfer; Richard H. Picard; Konradin Weber; Upendra N. Singh, Editor(s)
PDF: 6 pages
Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 1115217 (9 October 2019); doi: 10.1117/12.2532795
Show Author Affiliations
Ruixia Liu, China Meteorological Administration (China)
Xiaoqing Li, China Meteorological Administration (China)
Xiaoqing Li, China Meteorological Administration (China)
Jie Liu, China Meteorological News Press (China)
Published in SPIE Proceedings Vol. 11152:
Remote Sensing of Clouds and the Atmosphere XXIV
Adolfo Comerón; Evgueni I. Kassianov; Klaus Schäfer; Richard H. Picard; Konradin Weber; Upendra N. Singh, Editor(s)
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