4.6 Article

Improving the Representation of Polar Snow and Firn in the Community Earth System Model

Journal

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
Volume 9, Issue 7, Pages 2583-2600

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2017MS000988

Keywords

-

Funding

  1. Utrecht University through its strategic theme Sustainability, subtheme Water, Climate Ecosystems
  2. Dutch Ministry of Education, Culture and Science (OCW)
  3. NWO ALW through a Veni postdoctoral grant [863.14.009]
  4. Regional and Global Climate Modeling and Earth System Modeling programs of the Office of Biological and Environmental Research within the US Department of Energy's Office of Science
  5. National Center for Atmospheric Research, Boulder, CO (NCAR/CISL)
  6. National Science Foundation

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In Earth system models, terrestrial snow is usually modeled by the land surface component. In most cases, these snow models have been developed with an emphasis on seasonal snow. Questions about future sea level rise, however, prompt the need for a realistic representation of perennial snow, as snow processes play a key role in the mass balance of glaciers and ice sheets. Here we enhance realism of modeled polar snow in the Community Land Model (CLM), the land component of the Community Earth System Model (CESM), by implementing (1) new parametrizations for fresh snow density, destructive metamorphism, and compaction by overburden pressure, (2) by allowing for deeper snow packs, and (3) by introducing drifting snow compaction, with a focus on the ice sheet interior. Comparison with Greenlandic and Antarctic snow density observations show that the new physics improve model skill in predicting firn and near-surface density in the absence of melt. Moreover, compensating biases are removed and spurious subsurface melt rates at ice sheets are eliminated. The deeper snow pack enhances refreezing and allows for deeper percolation, raising ice temperatures up to 15 degrees C above the skin temperature.

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