Ceegan Kohere and Reza Ryan Part of CW18
Within the past decade development and quality of weather phenomena in virtual environments has rapidly increased. However, there is a lack of documented framework to create a dynamic and optimized weather system suitable for real-time environment.
This research is a critical inquiry of current research and the implementation required to create such a weather system in real-time. In this research a dynamic weather model was created using different weather component generation techniques such as Particle emission, Markov chains, Cellular Automata, Tri-Planar projection and Depth mapping. The weather model was designed and tested through the design science research methodology to ensure functionality. This framework can be easily integrated into existing real-time engines.