Ice Crystal Fabric and Texture Data for Polar Ice Sheet Simulation

University of Washington and Ohio University researchers conducted a collaborative project to study ice fabric and texture evolution. The work involved computer simulations and analysis of existing ice core data to model micro-structure interactions with deformation. No new observational data were collected under the University of Washington's contribution to NSF-OPP0136047.

Use Cases

• Modeling fabric evolution from initial c-axis orientation data using numerical simulations.
• Constraining deformation models with texture features like grain size and shape from ice core analysis.
• Analyzing near-surface fabric data to assess initial conditions for ice sheet flow calculations.
• Studying dynamic recrystallization processes using fabric and texture characteristics from thin sections.
• Investigating layer disturbance mechanisms by correlating anisotropic crystal data with stratigraphic disruptions.

Strengths

• Project involved collaboration between two major research institutions, University of Washington and Ohio University.
• Analysis leverages an automatic fabric analyzer (AFA) providing high-precision c-axis orientation measurements.

Limitations

• No new observational data were collected under the described University of Washington project component.
• Specific dataset size, row count, and column details are unknown from the provided description.
• Temporal and geographic coverage of the referenced existing ice core data is unspecified.

Provenance

Source

Collaborative research project NSF-OPP0136047 led by Ohio University with contribution from University of Washington.

Collection Method

Computer simulations of fabric evolution and analysis of existing ice core fabric and texture data.

Geography

Polar ice sheets, likely referencing Greenland ice cores (GRIP, GISP2).