Use 4-Dimensional Visual Delivery of Big Climate Data to Explore Climate Dynamics
This presentation will demonstrate how to use the 4-Dimensional Visual Delivery (4DVD) technology www.4dvd.org to explore climate dynamics, such as the weakening trade wind under the El Niño condition. 4DVD was developed at the Climate Informatics Lab, San Diego State University. The system visualizes and delivers netCDF climate data in a 4-dimensional space-time domain. It allows users to quickly visualize the data before making a download for further analysis. Users can zoom in-and-out or other graphics options to help identify desired climate dynamics patterns. Data can eventually be downloaded for a spatial map of a given time and a historical climate time series of a given location after the map and time series are identified to be useful. In this way, the 4DVD database software enables a user to quickly reach the core interested climate features without downloading the entire dataset in advance. This not only saves time and storage space, but also helps quickly explore the climate dynamics from observed data or climate model output. As a demo, we will show three datasets: NOAA’s 20th Century Reanalysis model data, NASA’s Global Precipitation Climatology Project data, and NOAAGlobalTemp data.
Sam Shen is Distinguished Professor of Mathematics and Statistics at San Diego State University (SDSU), and Visiting Research Mathematician of Scripps Institution of Oceanography, UCSD. He was SDSU Mathematics and Statistics Department Chair from 2006 to 2011. Before joining SDSU in 2006, Dr. Shen was McCalla Professor of Mathematical and Statistical Sciences at the University of Alberta, Canada, and formerly President of the Canadian Applied and Industrial Mathematics Society.
Dr. Shen received his B.Sc. in Engineering Mechanics in 1982 from East China Engineering Institute, and Ph.D. in Applied Mathematics from the University of Wisconsin-Madison in 1987.
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