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Hybrid Glacier Inventory, Gravimetry and Altimetry (HIGA) Mass Balance Product for Greenland and the Canadian ArcticWe present a novel inversion algorithm that generates a mass balance field that is simultaneously consistent with independent observations of glacier inventory derived from optical imagery, cryosphere-attributed mass trends derived from satellite gravimetry, and ice surface elevation trends derived from airborne and satellite altimetry. We use this algorithm to assess mass balance across Greenland and the Canadian Arctic over the Sep-2003 to Oct- 2009 period at 26 kilometers resolution. We evaluate local algorithm-inferred mass balance against forty in situ point observations. This evaluation yields a root mean squared error (RMSE) of 0.15 mWE/a ( 0.15 meters (water equivalent) per annum), and highlights a paucity of in situ observations from regions of high dynamic mass loss and peripheral glaciers. We assess mass losses of 212 plus or minus 67 Gigatons per annum to the Greenland ice sheet proper, 38 Gigatons per annum to peripheral glaciers in Greenland, and 42 Gigatons per annum to glaciers in the Canadian Arctic. These magnitudes of mass loss are dependent on the gravimetry-derived spherical harmonic mass trend we invert. We spatially partition the transient glacier continuity equation by differencing algorithm inferred mass balance from modeled surface mass balance, in order to solve the horizontal divergence of ice flux as a residual. This residual ice dynamic field infers flux divergence (or submergent flow) in the ice sheet accumulation area and at tidewater margins, and flux convergence (or emergent flow) in land-terminating ablation areas, which is consistent with continuum mechanics theory.
Document ID
20150023404
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
External Source(s)
Authors
William Colgan
(Geological Survey of Denmark and Greeland Copenhagen, Denmark)
Waleed Abdalati
(University of Colorado Boulder Boulder, Colorado, United States)
Michele Citterio
(Geological Survey of Denmark and Greeland Copenhagen, Denmark)
Beata Csatho
(University at Buffalo, State University of New York Buffalo, New York, United States)
Xavier Fettweis ORCID
(University of Liège Liège, Belgium)
Scott Luthcke
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Geir Moholdt
(University of California, San Diego San Diego, California, United States)
Sebastian B Simonsen
(Technical University of Denmark Kongens Lyngby, Hovedstaden, Denmark)
Manfred Stober
(Stuttgart University of Applied Sciences Stuttgart, Germany)
Date Acquired
December 18, 2015
Publication Date
July 7, 2015
Publication Information
Publication: Remote Sensing of Environment
Publisher: Elsevier
Volume: 168
Issue Publication Date: October 1, 2015
ISSN: 0034-4257
Subject Category
Meteorology And Climatology
Earth Resources And Remote Sensing
Geophysics
Report/Patent Number
GSFC-E-DAA-TN28106
Report Number: GSFC-E-DAA-TN28106
ISSN: 0034-4257
Funding Number(s)
CONTRACT_GRANT: NSF-CNS-0821794
CONTRACT_GRANT: Denmark-DFF-FNU-11-115166
CONTRACT_GRANT: NNX10AR76G
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
Altimetry
Gravimetry
Glacier
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