Response of high resolution coupled sea ice/ocean model to the assimilation of ice motion fields derived from microwave satellite imagery
Abstract
Motivated by abundant sources of data and the need
to improve weather prediction capabilities, data
assimilation has a long history in atmospheric modeling.
Data assimilation applied to sea-ice models, on the
other hand, is in its infancy. Most of the investigations
over the past twenty years falls into one of three
categories: (1) the statistical interpolation of data into
gridded fields (Thorndike and Colony, 1983), (2)
advanced assimilation methods applied to simplified
“box” style sea-ice models (Thomas and Rothrock,
1989), and (3) the non-statistical assimilation of ice data
(Maslanik and Maybee, 1994). While the work of
Maslanik and Maybee comes closest, no one had
tackled the problem of statistically assimilating data into
a full-featured sea-ice model. This situation changed
with the work of Meier et al. (2000). They assimilated ice
motions derived from passive microwave imagery into a
fully dynamic-thermodynamic sea-ice model using
optimal interpolation, a statistical interpolation
technique. Their success motivated this project.
Rights
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