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Self-consistent Ice Dynamics, Accumulation, Delta-age, and Interpolation of Sparse Age Data using an Inverse Approach
Entry ID:
waddington_0636997
Summary
Abstract:
We provide a the synthetic, sparse depth-age data generated using a 1-d ice-flow model. The age data include red noise to simulate real depth-age data.
The inferred depth-age data profile are included. This data set provides the necessary information for model inter-comparison purposes. Purpose: The intellectual merit of this project is that to develop new interpolation methods that calculate layer thinning over time due to ice-flow mechanics. Accurate interpolation also requires a spatial and temporal accumulation history. These three issues are coupled through accumulation patterns and ice-core dates. This project will develop an integrated inversion procedure to solve all three problems simultaneously. The new method will incorporate ice-penetrating radar profile data and ice-core data, and will find self-consistent: spatial/temporal accumulation patterns; delta-age profiles for ice cores; and reliably interpolated depth-age profiles.
Related URL
Location Keywords
Science Keywords
ISO Topic Category
Project
Ancillary Keywords
Data Center
Personnel
Role:
DIF AUTHOR
Phone:
301-405-7093
Fax:
301-314-9658
Email:
markc at umiacs.umd.edu
Contact Address:
3332 A.V. Williams Bldg
University of Maryland
City:
College Park
Province or State:
MD
Postal Code:
20742
Country:
USA
Creation and Review Dates
DIF Creation Date:
2001-10-10
Last DIF Revision Date:
2008-06-11
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