SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data

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dc.contributor.authorPoco, Jorgeen_US
dc.contributor.authorDasgupta, Aritraen_US
dc.contributor.authorWei, Yaxingen_US
dc.contributor.authorHargrove, Williamen_US
dc.contributor.authorSchwalm, Christopheren_US
dc.contributor.authorCook, Roberten_US
dc.contributor.authorBertini, Enricoen_US
dc.contributor.authorSilva, Claudioen_US
dc.contributor.editorH. Carr, P. Rheingans, and H. Schumannen_US
dc.date.accessioned2015-03-03T12:35:37Z
dc.date.available2015-03-03T12:35:37Z
dc.date.issued2014en_US
dc.description.abstractInter-comparison and similarity analysis to gauge consensus among multiple simulation models is a critical visualization problem for understanding climate change patterns. Climate models, specifically, Terrestrial Biosphere Models (TBM) represent time and space variable ecosystem processes, like, simulations of photosynthesis and respiration, using algorithms and driving variables such as climate and land use. While it is widely accepted that interactive visualization can enable scientists to better explore model similarity from different perspectives and different granularity of space and time, currently there is a lack of such visualization tools. In this paper we present three main contributions. First, we propose a domain characterization for the TBM community by systematically defining the domain-specific intents for analyzing model similarity and characterizing the different facets of the data. Second, we define a classification scheme for combining visualization tasks and multiple facets of climate model data in one integrated framework, which can be leveraged for translating the tasks into the visualization design. Finally, we present SimilarityExplorer, an exploratory visualization tool that facilitates similarity comparison tasks across both space and time through a set of coordinated multiple views. We present two case studies from three climate scientists, who used our tool for a month for gaining scientific insights into model similarity. Their experience and results validate the effectiveness of our tool.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.doi10.1111/cgf.12390en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12390en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleSimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Dataen_US
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EuroVis14: Eurographics Conference on Visualization