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An Integrated View of Greenland Ice Sheet Mass Changes Based on Models and Satellite Observations

Mottram, Ruth, B. Simonsen, Sebastian, Høyer Svendsen, Synne, Barletta, Valentina R., Sandberg Sørensen, Louise, Nagler, Thomas, Wuite, Jan, Groh, Andreas, Horwath, Martin, Rosier, Job, Solgaard, Anne, Hvidberg, Christine S., and Forsberg, Rene, 2019. An Integrated View of Greenland Ice Sheet Mass Changes Based on Models and Satellite Observations. Remote Sensing, 11(12):1407, doi:10.3390/rs11121407.

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@ARTICLE{2019RemS...11.1407M,
       author = {{Mottram}, Ruth and {B. Simonsen}, Sebastian and {H{\o}yer Svendsen}, Synne and {Barletta}, Valentina R. and {Sandberg S{\o}rensen}, Louise and {Nagler}, Thomas and {Wuite}, Jan and {Groh}, Andreas and {Horwath}, Martin and {Rosier}, Job and {Solgaard}, Anne and {Hvidberg}, Christine S. and {Forsberg}, Rene},
        title = "{An Integrated View of Greenland Ice Sheet Mass Changes Based on Models and Satellite Observations}",
      journal = {Remote Sensing},
     keywords = {Climate Change Initiative (CCI), Greenland ice sheet, mass budget, cryosphere, sea level rise, altimetry, mass balance, ice sheet modelling},
         year = 2019,
        month = jun,
       volume = {11},
       number = {12},
          eid = {1407},
        pages = {1407},
     abstract = "{The Greenland ice sheet is a major contributor to sea level rise, adding
        on average 0.47 {\ensuremath{\pm}} 0.23 mm year-1 to global mean
        sea level between 1991 and 2015. The cryosphere as a whole has
        contributed around 45\% of observed global sea level rise since
        1993. Understanding the present-day state of the Greenland ice
        sheet is therefore vital for understanding the processes
        controlling the modern-day rates of sea level change and for
        making projections of sea level rise into the future. Here, we
        provide an overview of the current state of the mass budget of
        Greenland based on a diverse range of remote sensing
        observations to produce the essential climate variables (ECVs)
        of ice velocity, surface elevation change, grounding line
        location, calving front location, and gravimetric mass balance
        as well as numerical modelling that together build a consistent
        picture of a shrinking ice sheet. We also combine these
        observations with output from a regional climate model and from
        an ice sheet model to gain insight into existing biases in ice
        sheet dynamics and surface mass balance processes. Observations
        show surface lowering across virtually all regions of the ice
        sheet and at some locations up to -2.65 m year-1 between 1995
        and 2017 based on radar altimetry analysis. In addition, calving
        fronts at 28 study sites, representing a sample of typical
        glaciers, have retreated all around Greenland since the 1990s
        and in only two out of 28 study locations have they remained
        stable. During the same period, two of five floating ice shelves
        have collapsed while the locations of grounding lines at the
        remaining three floating ice shelves have remained stable over
        the observation period. In a detailed case study with a fracture
        model at Petermann glacier, we demonstrate the potential
        sensitivity of these floating ice shelves to future warming.
        GRACE gravimetrically-derived mass balance (GMB) data shows that
        overall Greenland has lost 255 {\ensuremath{\pm}} 15 Gt year-1
        of ice over the period 2003 to 2016, consistent with that shown
        by IMBIE and a marked increase compared to a rate of loss of 83
        {\ensuremath{\pm}} 63 Gt year-1 in the 1993-2003 period.
        Regional climate model and ice sheet model simulations show that
        surface mass processes dominate the Greenland ice sheet mass
        budget over most of the interior. However, in areas of high ice
        velocity there is a significant contribution to mass loss by ice
        dynamical processes. Marked differences between models and
        observations indicate that not all processes are captured
        accurately within models, indicating areas for future research.}",
          doi = {10.3390/rs11121407},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2019RemS...11.1407M},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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