Two hundred marine-terminating Greenland outlet glaciers
deliver more than half of the annually accumulated ice into the ocean and
have
played an important role in the Greenland ice sheet mass loss observed since
the mid-1990s. Submarine melt may play a crucial role in the mass balance and
position of the grounding line of these outlet glaciers. As the ocean warms,
it is expected that submarine melt will increase, potentially driving outlet
glaciers retreat and contributing to sea level rise. Projections of the
future contribution of outlet glaciers to sea level rise are hampered by the
necessity to use models with extremely high resolution of the order of a few
hundred meters. That requirement in not only demanded when modeling outlet
glaciers as a stand alone model but also when coupling them with high-resolution 3-D ocean models. In addition, fjord bathymetry data are mostly
missing or inaccurate (errors of several hundreds of meters), which questions
the benefit of using computationally expensive 3-D models for future
predictions. Here we propose an alternative approach built on the use of a
computationally efficient simple model of submarine melt based on turbulent
plume theory. We show that such a simple model is in reasonable agreement with
several available modeling studies. We performed a suite of experiments to
analyze sensitivity of these simple models to model parameters and climate
characteristics. We found that the computationally cheap plume model
demonstrates qualitatively similar behavior as 3-D general circulation
models. To match results of the 3-D models in a quantitative manner, a scaling
factor of the order of 1 is needed for the plume models. We applied this
approach to model submarine melt for six representative Greenland glaciers
and found that the application of a line plume can produce submarine melt
compatible with observational data. Our results show that the line plume
model is more appropriate than the cone plume model for simulating the
average submarine melting of real glaciers in Greenland
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