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Issue No.01 - Jan.-Feb. (2013 vol.15)
pp: 94-103
The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT) is a new tool for analyzing and visualizing climate data. Here we provide some pointers, background information, and examples to show how the system works.
Data visualization, Meteorology, Biological system modeling, Data models, Data analysis, Graphical user interfaces, UV-CDAT, climate data, visualization, scientific computing, Ultra-scale Visualization Climate Data Analysis Tools
E. Santos, J. Poco, Yaxing Wei, Shishi Liu, B. Cook, D.N. Williams, C.T. Silva, "UV-CDAT: Analyzing Climate Datasets from a User's Perspective", Computing in Science & Engineering, vol.15, no. 1, pp. 94-103, Jan.-Feb. 2013, doi:10.1109/MCSE.2013.15
1. D.J. Hayes et al., “Reconciling Estimates of the Contemporary North American Carbon Balance among Terrestrial Biosphere Models, Atmospheric Inversions and a New Approach for Estimating Net Ecosystem Exchange from Inventory-Based Data,” Global Change Biology, vol. 18, no. 4, 2012; doi:10.1111/j.1365-2486.2011.02627.x.
2. D. Huntzinger et al., “North American Carbon Project (NACP) Regional Interim Synthesis: Terrestrial Biospheric Model Intercomparison,” Ecological Modeling, vol. 232, 2012, pp. 144–157; doi:10.1016/j.ecolmodel.2012.02.004.
3. J. Freire et al., “VisTrails,” The Architecture of Open Source Applications: Elegance, Evolution, and a Few Fearless Hacks, A. Brown, and G. Wilson eds.,, 2011, pp. 377–394.
4. J. Van Wijk, “The Value of Visualization,” Proc. IEEE Visualization, IEEE, 2005, pp. 79–86.
5. J. Freire et al., “Provenance for Computational Tasks: A Survey,” Computing in Science & Eng., vol. 10, no. 3, 2008, pp. 11–21.
6. K.E. Taylor, “Summarizing Multiple Aspects of Model Performance in a Single Diagram,” J. Geophys. Research, vol. 106, no. D7, 2001, pp. 7183–7192; .
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