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UV-CDAT: Analyzing Climate Datasets from a User's Perspective
Jan.-Feb. 2013 (vol. 15 no. 1)
pp. 94-103
| ASCII Text | x | ||
| Emanuele Santos, Jorge Poco, Yaxing Wei, Shishi Liu, Bob Cook, Dean N. Williams, Cláudio T. Silva, "UV-CDAT: Analyzing Climate Datasets from a User's Perspective," Computing in Science and Engineering, vol. 15, no. 1, pp. 94-103, Jan.-Feb., 2013. | |||
| BibTex | x | ||
| @article{ 10.1109/MCSE.2013.15, author = {Emanuele Santos and Jorge Poco and Yaxing Wei and Shishi Liu and Bob Cook and Dean N. Williams and Cláudio T. Silva}, title = {UV-CDAT: Analyzing Climate Datasets from a User's Perspective}, journal ={Computing in Science and Engineering}, volume = {15}, number = {1}, issn = {1521-9615}, year = {2013}, pages = {94-103}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2013.15}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - UV-CDAT: Analyzing Climate Datasets from a User's Perspective IS - 1 SN - 1521-9615 SP94 EP103 EPD - 94-103 A1 - Emanuele Santos, A1 - Jorge Poco, A1 - Yaxing Wei, A1 - Shishi Liu, A1 - Bob Cook, A1 - Dean N. Williams, A1 - Cláudio T. Silva, PY - 2013 KW - UV-CDAT KW - climate data KW - visualization KW - scientific computing KW - Ultra-scale Visualization Climate Data Analysis Tools VL - 15 JA - Computing in Science and Engineering ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2013.15
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.
Index Terms:
UV-CDAT,climate data,visualization,scientific computing,Ultra-scale Visualization Climate Data Analysis Tools
Citation:
Emanuele Santos, Jorge Poco, Yaxing Wei, Shishi Liu, Bob Cook, Dean N. Williams, Cláudio T. Silva, "UV-CDAT: Analyzing Climate Datasets from a User's Perspective," Computing in Science and Engineering, vol. 15, no. 1, pp. 94-103, Jan.-Feb. 2013, doi:10.1109/MCSE.2013.15
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