Seaglider Data Visualization
Professor
University of North Carolina
University of North Carolina
Dr. Bingham received his Ph.D. from the University of California, San Diego in Oceanography. His research interests include global distributions of sea surface salinity and large scale regional physical oceanography in the Kuroshio, the western North and Equatorial Pacific, and Onslow Bay, North Carolina.
Webinar Clip
This clip highlights the mechanisms by which a seaglider, a popular type of oceanographic research equipment, moves throughout the ocean and how it is able to collect and transmit data to satellites in space. Also included in this clip are data visualizations that have been generated from a research expedition to the mid-Atlantic ocean as part of a larger project known as SPURS (Salinity Processes in the Upper Ocean Regional Study). Full webinar: Follow that Salt! Results and the Future of Salinity Exploration
Click here for a transcript of this clip (PDF, 37.1 KB). |
Resources
Applicable Science Standards
Analyzing and Interpreting Data. Scientific investigations produce data that must be analyzed in order to derive meaning. Because data patterns and trends are not always obvious, scientists use a range of tools - including tabulation, graphical interpretation, visualization, and statistical analysis - to identify the significant features and patterns in the data. Scientists identify sources of error in the investigations and calculate the degree of certainty in the results. Modern technology makes the collection of large data sets much easier, providing secondary sources for analysis.
Using Mathematics and Computational Thinking. In both science and engineering, mathematics and computation are fundamental tools for representing physical variables and their relationships. They are used for a range of tasks such as constructing simulations; solving equations exactly or approximately; and recognizing, expressing, and applying quantitative relationships.