A model for the estimation of cloud cover from satellite data

N. Pratummasoot, S. Buntoung, S. Janjai
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Abstract

In this study, an empirical model for estimating cloud cover from satellite data was developed. The skyviews were installed at 4 stations located in Chiang Mai (18.78°N, 98.98°E), Ubon Ratchathani (15.25°N, 104.87°E), Nakhon Pathom (13.82°N, 100.04°E) and Songkhla (7.20°N, 100.60°E) in order to record the images of the sky. A three - year period (2009-2011) of the cloud cover data derived from the sky images and cloud index derived from MTSAT - 1R satellite data were prepared. Based on these data, a model relating cloud cover to cloud index was formulated. To validate its performance, the model was used to calculate cloud cover at the four stations during a two - year period (2012-2013). It was found that measured and calculated cloud cover were in reasonable agreement, with root mean square differences (RMSD) and mean bias difference (MBD) of 14.9% and -3.4%, respectively.
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用卫星资料估计云量的模式
本文建立了基于卫星数据估算云量的经验模型。在清迈(18.78°N, 98.98°E)、乌汶拉查他尼(15.25°N, 104.87°E)、那空梧桐岛(13.82°N, 100.04°E)和宋卡(7.20°N, 100.60°E) 4个站点安装了天象图,以记录天空图像。利用MTSAT - 1R卫星数据编制了3年(2009-2011年)的云量数据和云量指数。在此基础上,建立了云量与云指数的关系模型。为了验证该模型的有效性,利用该模型计算了4个站点2012-2013年2年的云量。结果表明,实测云量与计算云量基本一致,均方根差(RMSD)和平均偏置差(MBD)分别为14.9%和-3.4%。
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