Cumulus cloud synthesis with similarity solution and particle/voxel modeling

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Abstract

Abstract A realistic yet simple 3D cloud synthesis method is examined in this work. Our synthesis framework consists of two main components. First, by introducing a similarity approach for physics-based cumulus cloud simulation to reduce the computational complexity, we introduce a particle system for cloud modeling. Second, we adopt a voxel-based scheme to model the water phase transition effect and the cloud fractal structure. It is demonstrated by computer simulation that the proposed synthesis algorithm generates realistic 3D cumulus clouds with high computational efficiency and enables flexible cloud shape control and incorporation of the wind effect. © Springer-Verlag Berlin Heidelberg 2008.

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APA

Wang, B., Peng, J., & Jay Kuo, C. C. (2008). Cumulus cloud synthesis with similarity solution and particle/voxel modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5358 LNCS, pp. 65–74). https://doi.org/10.1007/978-3-540-89639-5_7

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