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Short term cloud coverage prediction using ground-based all sky imaging

机译:使用基于地面的全天候成像进行短期云覆盖预测

摘要

A method for predicting short-term cloud coverage includes a computer calculating an estimated cloud velocity field at a current time value based on sky images. The computer determines a segmented cloud model based on the sky images, a future sun location corresponding to a future time value, and sun pixel locations at the future time value based on the future sun location. Next, the computer applies a back-propagation algorithm to the sun pixel locations using the estimated cloud velocity field to yield propagated sun pixel locations corresponding to a previous time value. Then, the computer predicts cloud coverage for the future sun location based on the propagated sun pixel locations and the segmented cloud model.
机译:一种用于预测短期云覆盖的方法,该方法包括计算机基于天空图像在当前时间值计算估计的云速度场。计算机基于天空图像,对应于未来时间值的未来太阳位置以及基于未来太阳位置的未来时间值的太阳像素位置来确定分段的云模型。接下来,计算机使用估计的云速度场将反向传播算法应用于太阳像素位置,以产生与先前时间值相对应的传播太阳像素位置。然后,计算机根据传播的太阳像素位置和分段的云模型预测未来太阳位置的云量。

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