4.7 Article

Percolation blockage: A process that enables melt pond formation on first year Arctic sea ice

期刊

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
卷 122, 期 1, 页码 413-440

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2016JC011994

关键词

sea ice; melt ponds; permeability; percolation; porosity; albedo

资金

  1. Division of Polar Programs and Division of Mathematical Sciences at the U.S. National Science Foundation (NSF) [ARC-1303730, ARC-1417436, ARC-0934721, DMS-0940249, DMS-1413454]
  2. Arctic and Global Prediction Program at the Office of Naval Research (ONR) [N00014-13-10291]
  3. NSF Math Climate Research Network (MCRN)
  4. Direct For Mathematical & Physical Scien
  5. Division Of Mathematical Sciences [1413454, 0940249] Funding Source: National Science Foundation

向作者/读者索取更多资源

Melt pond formation atop Arctic sea ice is a primary control of shortwave energy balance in the Arctic Ocean. During late spring and summer, the ponds determine sea ice albedo and how much solar radiation is transmitted into the upper ocean through the sea ice. The initial formation of ponds requires that melt water be retained above sea level on the ice surface. Both theory and observations, however, show that first year sea ice is so highly porous prior to the formation of melt ponds that multiday retention of water above hydraulic equilibrium should not be possible. Here we present results of percolation experiments that identify and directly demonstrate a mechanism allowing melt pond formation. The infiltration of fresh water into the pore structure of sea ice is responsible for blocking percolation pathways with ice, sealing the ice against water percolation, and allowing water to pool above sea level. We demonstrate that this mechanism is dependent on fresh water availability, known to be predominantly from snowmelt, and ice temperature at melt onset. We argue that the blockage process has the potential to exert significant control over interannual variability in ice albedo. Finally, we suggest that incorporating the mechanism into models would enhance their physical realism. Full treatment would be complex. We provide a simple temperature threshold-based scheme that may be used to incorporate percolation blockage behavior into existing model frameworks.

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