IEDA
Dataset Information
Crane Glacier centerline observations and modeling results
Data DOI:
https://doi.org/10.15784/601617
Cite as
Aberle, R., Enderlin, E., Kopera, M., Marshall, H., & Meehan, T. (2022) "Crane Glacier centerline observations and modeling results " U.S. Antarctic Program (USAP) Data Center. doi: https://doi.org/10.15784/601617.
AMD - DIF Record(s)
Abstract
This dataset contains observed and modeled conditions along the Crane Glacier centerline for ~1994—2100. Observations include centerline (cl) coordinates, downscaled RACMO climate variables (runoff, snowfall, snowmelt, and surface mass balance), bed elevations (b), surface elevations (h), glacier width (W), calving front positions (xcf), and surface speeds (U) when available for the 1994—2019 period. Modeling results include glacier centerline geometry, speed, glacier mass discharge (Q_gl), and calving front and grounding line positions (x_cf and x_gl) under different future climate scenarios with varying surface mass balance (SMB), ocean thermal forcing (FT), SMB with potential feedbacks associated with enhanced surface melt water discharge and plume strengthening (SMB_enh), and concurrent SMB_enh and FT perturbations (SMB_enh_FT). Data are in “.mat” format, which can be read using MATLAB’s “load” function or using Python with the Scipy “scipy.io.loadmat” function.
Creator(s):
Aberle, Rainey; Enderlin, Ellyn; Marshall, Hans-Peter; Kopera, Michal; Meehan, Tate
Date Created:
2022-10-24
Repository:
USAP-DC (current)
Spatial Extent(s)
West: -63.1, East: -62, South: -65.6, North: -65.2
Temporal Extent(s)
Start: 1994-01-01 - End: 2100-01-01
Award(s)
Version:
1
References
  1. Aberle, R., Enderlin, E., Marshall, H.P., Kopera, M., and Meehan, T. (in review). "Assessing controls on ice dynamics at Crane Glacier, Antarctic Peninsula using a numerical ice flow model." Journal of Glaciology.
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README_601617.txt
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MD5 Checksum: ac9fd35314e5f27f2a5b5c845aa580ca File Type: Adobe Portable Document Format (PDF); MatLab

This dataset has been downloaded 2 times since March 2017 (based on unique date-IP combinations)