Regular network model for the sea ice-albedo feedback in the Arctic

The Arctic Ocean and sea ice form a feedback system that plays an important role in the global climate. The complexity of highly parameterized global circulation (climate) models makes it very difficult to assess feedback processes in climate without the concurrent use of simple models where the phy...

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Bibliographic Details
Published in:Chaos: An Interdisciplinary Journal of Nonlinear Science
Main Authors: Müller-Stoffels, Marc, Wackerbauer, Renate
Other Authors: National Science Foundation
Format: Article in Journal/Newspaper
Language:English
Published: AIP Publishing 2011
Subjects:
Online Access:http://dx.doi.org/10.1063/1.3555835
https://pubs.aip.org/aip/cha/article-pdf/doi/10.1063/1.3555835/14602428/013111_1_online.pdf
Description
Summary:The Arctic Ocean and sea ice form a feedback system that plays an important role in the global climate. The complexity of highly parameterized global circulation (climate) models makes it very difficult to assess feedback processes in climate without the concurrent use of simple models where the physics is understood. We introduce a two-dimensional energy-based regular network model to investigate feedback processes in an Arctic ice-ocean layer. The model includes the nonlinear aspect of the ice-water phase transition, a nonlinear diffusive energy transport within a heterogeneous ice-ocean lattice, and spatiotemporal atmospheric and oceanic forcing at the surfaces. First results for a horizontally homogeneous ice-ocean layer show bistability and related hysteresis between perennial ice and perennial open water for varying atmospheric heat influx. Seasonal ice cover exists as a transient phenomenon. We also find that ocean heat fluxes are more efficient than atmospheric heat fluxes to melt Arctic sea ice.