Volume Rendering Multivariate Data to Visualize Meteorological Simulations: A Case Study

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dc.contributor.authorKniss, Joeen_US
dc.contributor.authorHansen, Charlesen_US
dc.contributor.editorD. Ebert and P. Brunet and I. Navazoen_US
dc.date.accessioned2014-01-30T06:50:44Z
dc.date.available2014-01-30T06:50:44Z
dc.date.issued2002en_US
dc.description.abstractHigh resolution computational weather models are becoming increasing complex. However, the analysis of these models has not benefited from recent advancements in volume visualization. This case study applies the ideas and techniques from multi-dimensional transfer function based volume rendering to the multivariate weather simulations. The specific goal of identifying frontal zones is addressed. By combining temperature and humidity as a multivariate field, the frontal zones are more readily identified thereby assisting the meteorologists in their analysis tasks.en_US
dc.description.seriesinformationEurographics / IEEE VGTC Symposium on Visualizationen_US
dc.identifier.isbn1-58113-536-Xen_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/VisSym02/189-194en_US
dc.publisherThe Eurographics Associationen_US
dc.titleVolume Rendering Multivariate Data to Visualize Meteorological Simulations: A Case Studyen_US
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VisSym02: Joint Eurographics - IEEE TCVG Symposium on Visualization