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

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of advances in modeling earth systems 2017-11, Vol.9 (7), p.2583-2600
Hauptverfasser: van Kampenhout, Leonardus, Lenaerts, Jan T. M., Lipscomb, William H., Sacks, William J., Lawrence, David M., Slater, Andrew G., van den Broeke, Michiel R.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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°C above the skin temperature. Key Points Near‐surface snow density modulates heat transport and, indirectly, melt, and should thus be realistically modeled over ice sheets New snow physics and parameters show a significant improvement with respect to snow density observations, both at the surface and at depth Deep ice temperatures rise by several degrees due to the deepening of the snow pack, and the associated deeper percolation
ISSN:1942-2466
1942-2466
DOI:10.1002/2017MS000988