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Statistical Characteristics of Cloud Cover in the Mediterranean-Black Sea Region from Satellite Data

机译:卫星数据中地中海地区云盖的统计特征

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An archive of cloud amount in the Mediterranean-Black Sea region in 1984-2009 has been formed using satellite data from the Meteosat satellites. The procedures for decoding satellite images and automatical identifying of the cloud amount from single-channel satellite shots made by the Meteosat satellite in the infrared range were used. The procedure based on the analysis of the time series of radiation temperature at fixed "points" on the earth has shown an advantage over the results obtained using the simple threshold filter. To assess the uniformity and quality of the data of the generated archive, annual and monthly mean cloud amounts were compared with the satellite data archives of the ISCCP and ground-based observations of SYNOP. For a qualitative comparison of all the archives, annual mean values of the cloud amount, standard deviations and correlation coefficients between them were calculated. Correlation coefficients for monthly mean cloud numbers between the archives were 0.71-0.95 at the level of 99% confidence, and standard deviations in winter over the sea were 0.7 and over the land up to 0.9. The cloud amount error was determined by the gradations (score) and was performed for two satellite archives and the archive of ground-based observations. The errors that arise when assessing the quality of the cloud data from satellite and ground-based observations depend on the features of their detection, observation, and the processing techniques. The obtained data array showed that the zone of the maximum cloud amount over the Black Sea in winter indicates the active stage of the Black Sea depression, with its typical stationary atmospheric front. The results of the Fourier analysis showed the presence of a quasi-two-year harmonic, with the largest amplitude of oscillations occurring in winter and spring, and the smallest in summer.
机译:1984 - 黑海地区1984 - 2009年中云金额的档案已经使用来自Meteosat卫星的卫星数据形成。使用了在红外范围内的Meteosat卫星由Meteosat卫星在红外范围内的单通道卫星射击进行解码卫星图像和自动识别云量的程序。基于地球上固定“点”的辐射温度的时间序列分析的过程已经显示出使用简单阈值滤波器获得的结果的优点。为了评估生成的存档数据的均匀性和质量,与ISCCP的卫星数据档案和Synop的地面观察相比,将年度和月度平均云量进行比较。对于所有档案的定性比较,计算了云量的年平均值,标准偏差和它们之间的相关系数。档案之间的月平均云数的相关系数为0.71-0.95,达到99%的信心水平,海洋冬季标准偏差为0.7且超过土地,高达0.9。云量误差由渐变(得分)确定,并对两个卫星档案和基于地面观察的存档进行。评估卫星和地面观测的云数据质量时出现的错误取决于其检测,观察和处理技术的特征。所获得的数据阵列表明,冬季黑海上最大云量的区域表明了黑海凹陷的活动阶段,其典型的固定性大气前部。傅立叶分析的结果显示了冬季和春季发生的最大振荡振荡振幅,夏季最小的谐波。

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