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| Titel |
A 1-D modelling study of Arctic sea-ice salinity |
| VerfasserIn |
P. J. Griewank, D. Notz |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 9, no. 1 ; Nr. 9, no. 1 (2015-02-11), S.305-329 |
| Datensatznummer |
250116752
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| Publikation (Nr.) |
 copernicus.org/tc-9-305-2015.pdf |
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| Zusammenfassung |
| We use a 1-D model to study how salinity evolves in Arctic sea ice. To do so,
we first explore how sea-ice surface melt and flooding can be incorporated
into the 1-D thermodynamic Semi-Adaptive
Multi-phase Sea-Ice Model (SAMSIM) presented by
Griewank and Notz (2013). We introduce flooding and a flushing parametrization
which treats sea ice as a hydraulic network of horizontal and vertical
fluxes. Forcing SAMSIM with 36 years of ERA-interim atmospheric reanalysis
data, we obtain a modelled Arctic sea-ice salinity that agrees well with
ice-core measurements. The simulations thus allow us to identify the main
drivers of the observed mean salinity profile in Arctic sea ice. Our results
show a 1.5–4 g kg−1 decrease of bulk salinity via gravity drainage after ice
growth has ceased and before flushing sets in, which hinders approximating
bulk salinity from ice thickness beyond the first growth season. In our
simulations, salinity interannual variability of first-year ice is mostly
restricted to the top 20 cm. We find that ice thickness, thermal resistivity,
freshwater column, and stored energy change by less than 5% on average when
the full salinity parametrization is replaced with a prescribed salinity
profile. |
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