EnvirVis14

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https://diglib.eg.org/handle/10.2312/7745

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Browsing EnvirVis14 by Subject "I.3.8 [Computer Graphics]"

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    Animation of Clouds Based on the Interpolation of Weather Forecast Data
    (The Eurographics Association, 2014) Hufnagel, Roland; Held, Martin; Olaf Kolditz and Karsten Rink and Gerik Scheuermann
    We present a novel algorithm for interpolating discrete cloud data of numerical weather forecasts over time. The interpolation provides a continuous natural transition of the cloud properties over time intervals of several hours. A diffusion-free advection scheme transports cloud properties through the wind field. The algorithm is designed to be embedded in a rendering loop and provides the basis for employing cloud modeling techniques for creating temporal cloud animations of the future weather.
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    An Interactive Visualization Approach to Explore Mass Variations in the Earth System
    (The Eurographics Association, 2014) Rawald, Tobias; Sips, Mike; Sasgen, Ingo; Dransch, Doris; Olaf Kolditz and Karsten Rink and Gerik Scheuermann
    We present an approach that supports the visual exploration of mass variations in the Earth system in space and time. In close collaboration with geo-scientists, we identified important requirements for our exploration tool. Using a combination of three-dimensional spheres, we enable them to compare the differences between simulated mass variations and the measured gravity field. Since these variations change over time, we developed a tool that allows to navigate the temporal scale. In addition, we supply a mechanism to dynamically activate/deactivate multiple components of the simulation model applied. These features enable scientists to better understand the impact of the individual processes on the measured Earth's gravity field. In this paper, we discuss in detail the geo-scientific requirements and how our tool addresses these requirements.
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    Simulating Urban Environments for Energy Analysis
    (The Eurographics Association, 2014) Weber, Gunther H.; Johansen, Hans; Graves, Daniel T.; Ligocki, Terry J.; Olaf Kolditz and Karsten Rink and Gerik Scheuermann
    We present new prototype tools for optimizing building solar energy impacts in urban regions, to enable better real-time control and policy decisions for energy supply and demand response. The concept is demonstrated with a prototype that estimates the amount of direct sunlight available to building surfaces in complex urban landscapes, taking into consideration local weather predictions (via cloud cover simulation). We also calculate partial shadows from visual obstructions, due to their effect on the availability of solar energy and building energy usage. The prototype has the potential to make better day-ahead predictions that can help balance energy supply and demand during peak load hours. This can lead to better strategies for control of heating, air conditioning and alternatives (such as local energy storage in batteries or co-generation) to offset peak energy demand. However, in addition it can be used as a statistical optimization tool for informing local policy decisions related to solar energy incentives and demand response programs. We apply the approach to a prototype calculation on models of a hypothetical city and a section of downtown San Francisco. We briefly discuss optimization opportunities in response to the variability and uncertainty in solar energy for individual buildings in an urban landscape.