Skip to main content

Realistic natural atmospheric phenomena and weather effects for interactive virtual environments.

McLoughlin, L., 2012. Realistic natural atmospheric phenomena and weather effects for interactive virtual environments. Doctoral Thesis (Doctoral). Bournemouth University.

Full text available as:

McLOUGHLIN, Leigh_Ph.D._2012.pdf



Clouds and the weather are important aspects of any natural outdoor scene, but existing dynamic techniques within computer graphics only offer the simplest of cloud representations. The problem that this work looks to address is how to provide a means of simulating clouds and weather features such as precipitation, that are suitable for virtual environments. Techniques for cloud simulation are available within the area of meteorology, but numerical weather prediction systems are computationally expensive, give more numerical accuracy than we require for graphics and are restricted to the laws of physics. Within computer graphics, we often need to direct and adjust physical features or to bend reality to meet artistic goals, which is a key difference between the subjects of computer graphics and physical science. Pure physicallybased simulations, however, evolve their solutions according to pre-set rules and are notoriously difficult to control. The challenge then is for the solution to be computationally lightweight and able to be directed in some measure while at the same time producing believable results. This work presents a lightweight physically-based cloud simulation scheme that simulates the dynamic properties of cloud formation and weather effects. The system simulates water vapour, cloud water, cloud ice, rain, snow and hail. The water model incorporates control parameters and the cloud model uses an arbitrary vertical temperature profile, with a tool described to allow the user to define this. The result of this work is that clouds can now be simulated in near real-time complete with precipitation. The temperature profile and tool then provide a means of directing the resulting formation.

Item Type:Thesis (Doctoral)
Additional Information:If you feel that this work infringes your copyright please contact the BURO Manager.
Group:Faculty of Media & Communication
ID Code:20990
Deposited By: Symplectic RT2
Deposited On:27 Nov 2013 10:58
Last Modified:09 Aug 2022 16:03


Downloads per month over past year

More statistics for this item...
Repository Staff Only -