Stochastic dynamic analysis of polar sea ice variability

Lemke, Peter; Trinkl, E. W.; Hasselmann, Klaus

doi:10.1175/1520-0485(1980)010<2100:SDAOPS>2.0.CO;2

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Previous Next of 11462

Released

Journal Article

Stochastic dynamic analysis of polar sea ice variability

MPS-Authors

Lemke, Peter
MPI for Meteorology, Max Planck Society;

Trinkl, E. W.
MPI for Meteorology, Max Planck Society;

/persons/resource/persons37172

Hasselmann, Klaus
MPI for Meteorology, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

1520-0485(1980)010_2100_sdaops_2.0.co
(Publisher version), 2MB

Supplementary Material (public)

There is no public supplementary material available

Citation

Lemke, P., Trinkl, E. W., & Hasselmann, K. (1980). Stochastic dynamic analysis of polar sea ice variability. Journal of Physical Oceanography, 10, 2100-2120. doi:10.1175/1520-0485(1980)010<2100:SDAOPS>2.0.CO;2.

Cite as: https://hdl.handle.net/21.11116/0000-0006-04E0-8

Abstract

The analysis of Arctic (1966–76) and Antarctic (1973–79) sea ice data is presented, and a dynamical model based on white noise atmospheric forcing, local stabilizing relaxation and lateral diffusion and advection is constructed to explain the observations. Longitudinal dependent forcing. feedback, lateral diffusion and advection parameters are derived by fitting the model to the observed cross-spectral matrix of the sea ice anomaly fields. It is inferred that diffusion and advection of sea ice anomalies play an important role in sea ice dynamics. The model advection patterns agree reasonably well with the observed ocean surface circulation in the Arctic Ocean and around Antarctica.