Querying for Feature Extraction and Visualization in Climate Modeling (2009)
C. Ryan Johnson, Markus Glatter, Wesley Kendall, Jian Huang, Forrest Hoffman
Abstract. The ultimate goal of data visualization is to clearly portray features relevant to the problem being studied. This goal can be realized only if users can effectively communicate to the...
Robert Sisneros, Markus Glatter, On Langley, Jian Huang, Forrest Hoffman, David J. Erickson
doi:10.1088/1742-6596/125/1/012093 Time-varying multivariate visualization for understanding terrestrial biogeochemistry
Time-Varying Multivariate Visualization for Understanding Terrestrial (2009)
Robert Sisneros, Markus Glatter, On Langley, Jian Huang, Forrest Hoffman, David J
Abstract. Petascale computing has brought forth a transformational way of science. To the global effort on studying climate change, this shift has enabled not only tools more functional and more...
Visualizing Temporal Patterns in Large Multivariate Data using Textual Pattern Matching (2009)
Markus Glatter, Student Member, Jian Huang, Sean Ahern, Jamison Daniel, Aidong Lu
Abstract — Extracting and visualizing temporal patterns in large scientific data is an open problem in visualization research. First, there are few proven methods to flexibly and concisely define...
Wesley Kendall, Markus Glatter, Jian Huang, Forrest Hoffman, David E. Bernholdt
The recent advances in high performance computing, storage and networking technologies have enabled fundamental changes in current climate research. While sharing datasets and results is already...
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