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Physically Based and Stochastic Models for Greenland Moulin Formation, Longevity, and Spatial DistributionNearly all proglacial water discharge from the Greenland Ice Sheet is routed englacially, from the surface to the bed, via moulins. Identification of moulins in high-resolution imagery is a frequent topic of study, but the processes controlling how and where moulins form remain poorly understood. We seek to leverage information gained from the development of a physical model of moulin formation, remotely sensed ice-sheet data products, and an analytic model of ice-flow perturbations to develop a predictive stochastic model of moulin distribution across Greenland. Here we present initial results from the physical model of moulin formation and characterize the sensitivity of moulin geometry to a range of model parameters. This parameterization of moulin formation is the first step in developing a stochastic model that will be a predictive, computationally efficient representation of the englacial hydrologic system.
Document ID
20190000701
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Andrews, Lauren C.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Poinar, Kristin
(Buffalo Univ. NY, United States)
Date Acquired
February 13, 2019
Publication Date
January 31, 2019
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN65005
Meeting Information
Meeting: Program for Arctic Regional Climate Assessment (PARCA)
Location: Greenbelt, MD
Country: United States
Start Date: February 1, 2019
Sponsors: NASA Goddard Space Flight Center
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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