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Cumulus cloud scene simulation modeling using fractals and physics

机译:模糊云场景模拟建模使用分形和物理学

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ort the development of electro/optical sensor systems under the Smart Weapons Operability Enhancement (SWOE) Program. TASC has developed a four-dimensional (3 spatial and 1 temporal) cloud model for use in radiometric computations and scene simulation. The cloud scene simulation model employs a multi-step process to generate the density fields beginning with the rescale and add fractional Brownian motion algorithm to simulate the horizontal distribution of cloud elements within the user-defined cloud domain. Knowledge of structures of stratiform and cirriform cloud types is used to specify the vertical extent of individual clouds. Internal variability is then generated within each cloud using a three-dimensional version of the rescale and add model. A physics-based scheme that models clouds as the sum of a large number of individual Lagrangian 'parcels' is used to simulate cumulus cloud growth and convection based on environmental conditions. In this paper we present a description of the cloud scene simulation modeling process. In particular, we emphasize the cumulus model which marries fractal field generation and convection dynamics to result in a computationally efficient method to generate cloud fields that are both physically derived and visually realistic.
机译:智能武器可操作性增强(SWOE)程序下的电气/光学传感器系统的开发。 Tasc开发了一种用于辐射计算和场景仿真的四维(3个空间和1个时间)云模型。云场景仿真模型采用多步骤过程来生成与Rescale开始开头的密度字段,并添加分数布朗运动算法以模拟用户定义的云域内的云元素的水平分布。利用层状和岩体云类型的结构知识来指定各个云的垂直程度。然后使用Rescale的三维版本和添加模型在每个云中生成内部变异性。基于物理的方案,模型云作为大量单独拉格朗日'PARCELS的总和用于模拟基于环境条件的积云云的生长和对流。在本文中,我们展示了云场景模拟建模过程的描述。特别是,我们强调了与分形场生成和对流动态结合的积云模型,以导致计算有效的方法来生成物理衍生和视觉上的云字段。

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