@inproceedings{d3b8287e9c524155a8b0df665b6f24b9,
title = "Rendering and modeling of stratus cloud using weather forecast data",
abstract = "This paper presents a method for physically plausible modeling and real-time rendering of large scale cloud scene from weather forecast data which includes stratus clouds and cumulus clouds. Our method uses particles as primitives, but differs from existing methods, the particles are generated from the data using a new optical model, and then are splatted onto multi-resolution axis-aligned slices for rendering at interactive frame rates. In the cloud optics model, multiple light sources are used and multiple anisotropic Mie scattering and Rayleigh scattering are employed according to the particle optical depth. After particles are generated from weather forecast data, multi-resolution axis-aligned slices are generated. The rendering process can use these slices and be easily implemented on graphics hardware. The experiment results show that realistic cloud can be modeled and rendered at interactive frame rates.",
keywords = "Axis-aligned Slicing, Cloud simulation, Splatting, WRF data visualizing",
author = "Xiangxin Xu and Chunqiang Yuan and Xiaohui Liang and Xukun Shen",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Conference on Virtual Reality and Visualization, ICVRV 2015 ; Conference date: 17-10-2015 Through 18-10-2015",
year = "2016",
month = may,
day = "9",
doi = "10.1109/ICVRV.2015.10",
language = "英语",
series = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "246--252",
editor = "Zhong Zhou and Weiliang Meng and Junfeng Yao and Xiaopeng Zhang and Xun Luo",
booktitle = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",
address = "美国",
}