model–data comparison and data assimilation of mid-holocene arctic sea ice concentration
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2014
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Abstract
The consistency between new quantitative reconstructions of Arctic sea ice
concentration based on dinocyst assemblages and the results of climate models
has been investigated for the mid-Holocene. The response of the models
mainly follows the increase in summer insolation, modulated to a limited
extent by changes in atmospheric circulation. This leads to differences
between regions in the models that are smaller than in the reconstruction. It
is, however, impossible to precisely assess the models' skills because the
sea ice concentration changes at the mid-Holocene are small in both the
reconstructions and the models and of the same order of magnitude as the
reconstruction uncertainty. Performing simulations with data assimilation
using the model LOVECLIM amplifies the regional differences and improves the
model–data agreement as expected. This is mainly achieved through a
reduction of the southward winds in the Barents Sea and an increase in the
westerly winds in the Canadian Basin, inducing an increase in the ice
concentration in the Barents and Chukchi seas. This underlines the potential
role of atmospheric circulation in explaining the reconstructed changes
during the Holocene.
| Reference Key |
klein2014climatemodeldata
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|---|---|
| Authors | ;F. Klein;H. Goosse;A. Mairesse;A. de Vernal |
| Journal | proceedings - 16th ieee/acis international conference on computer and information science, icis 2017 |
| Year | 2014 |
| DOI |
10.5194/cp-10-1145-2014
|
| URL | |
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