2020
DOI: 10.1145/3414685.3417801
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Stormscapes

Abstract: The complex interplay of a number of physical and meteorological phenomena makes simulating clouds a challenging and open research problem. We explore a physically accurate model for simulating clouds and the dynamics of their transitions. We propose first-principle formulations for computing buoyancy and air pressure that allow us to simulate the variations of atmospheric density and varying temperature gradients. Our simulation allows us to model various cloud types, such as cumulus, stratus, and stratoscumu… Show more

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Cited by 21 publications
(7 citation statements)
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“…However, the animation pattern of such generated clouds is not entirely realistic. Hädrich et al (2020) have recently simulated a variety of clouds using a set of lightweight higher level primitives. Vimont et al (2020) have employed a similar concept in Eulerian settings instead of the Lagrangian framework.…”
Section: Figurementioning
confidence: 99%
“…However, the animation pattern of such generated clouds is not entirely realistic. Hädrich et al (2020) have recently simulated a variety of clouds using a set of lightweight higher level primitives. Vimont et al (2020) have employed a similar concept in Eulerian settings instead of the Lagrangian framework.…”
Section: Figurementioning
confidence: 99%
“…However, path tracing of atmospheres is a lengthy process, and moreover, the models do not directly support the rendering of clouds and overcast skies. For that, one would render fully volumetric clouds from a simulation [HMP*20, HHP*21] with expensive volumetric path tracing, or use machine learning [KMM*17] for improved efficiency.…”
Section: Related Workmentioning
confidence: 99%
“…Simulating clouds is also widely investigated in the literature, for example, Dobashi et al [21], Harris and Lastra [22], and Dobashi et al [23]. Recently, the complex nature of cloud formation was investigated by Hädrich et al [24] who developed a novel framework to simulate physically accurate clouds. This led to plausible cloud dynamics in 3D, but it is computationally expensive and furthermore needs to be coupled with expensive light transport simulation to produce realistic imagery.…”
Section: B Cloud Modelingmentioning
confidence: 99%
“…This faces the challenge that changes to cloud shape and position have to be smooth and coherent over hundreds of frames, while simultaneously predicting correct illumination. We also have to predict clouds moving at different speeds, due to factors such as different wind strengths for clouds at different altitudes [24]. While cloud evolution at these timescales can be predicted by physics-based models such as simulating fluid dynamics in the atmosphere, we operate in image space as this removes the need for complicated and expensive cloud, terrain, and atmospheric models.…”
Section: Multi-timescale Sky Appearance Predictionmentioning
confidence: 99%