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  • 1
    Publication Date: 2020-02-06
    Description: Greenland's bed topography is a primary control on ice flow, grounding line migration, calving dynamics, and subglacial drainage. Moreover, fjord bathymetry regulates the penetration of warm Atlantic water (AW) that rapidly melts and undercuts Greenland's marine-terminating glaciers. Here we present a new compilation of Greenland bed topography that assimilates seafloor bathymetry and ice thickness data through a mass conservation approach. A new 150 m horizontal resolution bed topography/bathymetric map of Greenland is constructed with seamless transitions at the ice/ocean interface, yielding major improvements over previous data sets, particularly in the marine-terminating sectors of northwest and southeast Greenland. Our map reveals that the total sea level potential of the Greenland ice sheet is 7.42 ± 0.05 m, which is 7 cm greater than previous estimates. Furthermore, it explains recent calving front response of numerous outlet glaciers and reveals new pathways by which AW can access glaciers with marine-based basins, thereby highlighting sectors of Greenland that are most vulnerable to future oceanic forcing.
    Type: Article , PeerReviewed
    Format: text
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  • 2
    Publication Date: 2019-02-01
    Description: Marine-terminating glaciers play a critical role in controlling Greenland's ice sheet mass balance. Their frontal margins interact vigorously with the ocean, but our understanding of this interaction is limited, in part, by a lack of bathymetry data. Here we present a multibeam echo sounding survey of 14 glacial fjords in the Uummannaq and Vaigat fjords, west Greenland, which extends from the continental shelf to the glacier fronts. The data reveal valleys with shallow sills, overdeepenings (〉 1300 m) from glacial erosion, and seafloor depths 100-1000 m deeper than in existing charts. Where fjords are deep enough, we detect the pervasive presence of warm, salty Atlantic Water (AW) (〉 2.5 degrees C) with high melt potential, but we also find numerous glaciers grounded on shallow (〈 200 m) sills, standing in cold (〈 1 degrees C) waters in otherwise deep fjords, i.e., with reduced melt potential. Bathymetric observations extending to the glacier fronts are critical to understand the glacier evolution.
    Type: Article , PeerReviewed
    Format: text
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  • 3
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-07-03
    Description: Over the last two decades, sea level across the Beaufort Sea has been rising an order of magnitude faster than its global mean. This rapid regional sea level rise is mainly a halosteric change, reflecting an increase in freshwater content comparable to the Great Salinity Anomaly. Here we provide a new perspective of these variations using a global data-constrained ocean and sea ice model of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium. Causal relationships are quantified using the model’s adjoint and controlling processes are identified analyzing property budgets. The study reveals wind stress and sea ice melt jointly driving the multi-decadal variation. Strengthening anticyclonic winds surrounding the Beaufort Sea intensify lateral Ekman convergence of relatively fresh near-surface water. The strengthening winds also enhance convergence of sea ice and ocean heat that increase the region’s sea ice melt. A growing disparity between where sea ice forms and where it melts results in this rare example of melting floating ice causing large-scale sea level rise. ECCO is implementing a novel “point-and-click” interface for analyzing its model, such as conducted here. We encourage and invite exploration of these tools which will be demoed (https://ecco-group.org).
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 4
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-07-06
    Description: The “Estimating the Circulation and Climate of the Ocean” (ECCO) Consortium has a 20-year legacy of supporting fundamental climate research through the sustained production of innovative, global multi-decadal geophysical ocean state estimates. ECCO estimates are free-running solutions to state-of-the-art numerical general circulation models that are constrained with diverse, heterogenous, and sparse satellite and in-situ measurements in a least-squares sense. In recent years the ECCO project has sought to better represent the drivers of global and regional sea level rise, including the contributions from ocean-driven melting of the Greenland and Antarctic Ice Sheets. This talk describes some of the challenges and benefits of expanding the scope of ECCO's original "ocean-only" state estimation system to include useful representations of ocean/cryosphere interaction in general and ocean/ice-sheet interaction in particular.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 5
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-07-06
    Description: Approximately 90% of Earth’s energy imbalance is absorbed by the oceans. Therefore, Ocean Heat Content (OHC) and its time-derivative, Ocean Heat Uptake (OHU), are key parameters for monitoring planetary energy imbalance. Several approaches for estimating OHC and OHU have been proposed, each employing a different combination of in-situ and remote observations and models. Published estimates of OHU for the satellite oceanography era range between ~0.5 and ~1.0 Wm-2 with corresponding uncertainties of a few tenths of Wm-2. Although the range of OHU estimates has narrowed, the spread remains large relative to its absolute value due to persistent, potentially incompletely known, observational uncertainties or derived products. Here we report on new OHU estimates for 1992-2022 from the latest global ocean state estimate from the Estimating the Circulation and Climate of the Ocean (ECCO) Consortium. ECCO estimates are dynamically self-consistent and strictly obey the mass, energy, and momentum conservation principles over the full estimation period. The ECCO estimate is constrained in a least-squares sense to in-situ data, including Argo profiles, and remote ocean and marine-ice observations, including sea-level from altimetry and ocean mass from GRACE(-FO). We find time-mean OHU of 0.59 Wm-2 for the upper 2000 m and 0.60 Wm-2 for the full-depth ocean, with significant seasonal and interannual variability. Although sea-level and energy budgets are closed in ECCO estimates, the model does not (and cannot) reproduce all observational data. We describe model-data differences and their consequences in the context of other (often larger) OHU estimates derived from geodetic and other approaches.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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