Integrating Instrumental Data Provides the Full Science in 3D
Abstract
Looking at data sparks questions, discussion and insights. By integrating multiple data sets we deepen our understanding of how cryosphere processes operate. Field collected data provide measurements from multiple instruments supporting rapid insights. Icepod provides a platform focused on the integration of multiple instruments. Over the last three seasons, the ROSETTA-Ice project has deployed Icepod to comprehensively map the Ross Ice Shelf, Antarctica. This integrative data collection along with new methods of data visualization allows us to answer questions about ice shelf structure and evolution that arise during data processing and review. While data are vetted and archived in the field to confirm instruments are operating, upon return to the lab data are again reviewed for accuracy before full analysis. Recent review of shallow ice radar data from the Beardmore Glacier, an outlet glacier into the Ross Ice Shelf, presented an abrupt discontinuity in the ice surface. This sharp 8m surface elevation drop was originally interpreted as a processing error. Data were reexamined, integrating the simultaneously collected shallow and deep ice radar with lidar data. All the data sources showed the surface discontinuity, confirming the abrupt 8m drop in surface elevation. Examining high resolution WorldView satellite imagery revealed a persistent source for these elevation drops. The satellite imagery showed that this tear in the ice surface was only one piece of a larger pattern of "chatter marks" in ice that flows at a rate of 300 m/yr. The markings are buried over a distance of 30 km or after 100 years of travel down Beardmore Glacier towards the front of the Ross Ice Shelf. Using Icepod's lidar and cameras we map this chatter mark feature in 3D to reveal its full structure. We use digital elevation models from WorldView to map the other along flow chatter marks. In order to investigate the relationship between these surface features and basal crevasses, the deep ice radar enables a 3D model of the base of the ice shelf. Both the high resolution imagery and radar echograms along with a VR experience of our 3D models, allows viewers to fully explore the dataset and gain insight into the processes producing these features.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2017
- Bibcode:
- 2017AGUFM.C14B..05T
- Keywords:
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- 0702 Permafrost;
- CRYOSPHERE;
- 0720 Glaciers;
- CRYOSPHERE;
- 0736 Snow;
- CRYOSPHERE;
- 0750 Sea ice;
- CRYOSPHERE