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  4. Modelling Arctic Sea Ice : On the Relationship between Ice Thickness Distributions and the Ice Strength
 
Zitierlink URN
https://nbn-resolving.de/urn:nbn:de:gbv:46-00106414-11

Modelling Arctic Sea Ice : On the Relationship between Ice Thickness Distributions and the Ice Strength

Veröffentlichungsdatum
2017-12-01
Autoren
Ungermann, Mischa  
Betreuer
Losch, Martin  
Gutachter
Haas, Christian  
Zusammenfassung
The effects of anthropogenic climate change are most drastic in the Arctic. This amplification of climate change signals is strongly connected to the sea ice in the Arctic Ocean. This thesis presents an analysis of the sea ice cover in numerical ocean a sea ice models with a focus on two different parameterizations: an active ice thickness distribution and an ice strength parameterization that is based on this additional thickness information. The research questions are: (1) can the parameterizations improve the reproduction of Arctic-wide sea ice observations? (2) Do the parameterizations actually reproduce physically observed behavior? (3) How can the parameterizations and their use in basin-scale models be improved further? In a first step, model quality is assessed by a quantitative measure of the reproduction of satellite observations of sea ice concentration, thickness and drift. Including a full ice thickness distribution in each grid cell instead of only two ice categories clearly improves the model results. At the same time, a strength parameterization based on a two-category approach produces better model results than a multi-category strength parameterization. In a next step, the two parameterizations are evaluated in more detail. The ice thickness distribution parameterization reproduces local observations in the Arctic to a large degree and simulates faithfully regional and seasonal differences found in observed distributions. The poor performance of the multi-category ice strength parameterization is explained by the physical assumptions that were made in its original derivation and that do not agree with the current understanding of the ice cover. In conclusion, using an ice thickness distribution improves model performance, but a multi-category parameterization of the ice strength should be avoided. In future work, a new ice strength parameterization could be derived from the physical properties of the ice pack that are demonstrated in this work.
Schlagwörter
MITgcm

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cost function

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Green's function approach
Institution
Universität Bremen  
Fachbereich
Fachbereich 01: Physik/Elektrotechnik (FB 01)  
Dokumenttyp
Dissertation
Zweitveröffentlichung
Nein
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

00106414-1.pdf

Size

7.21 MB

Format

Adobe PDF

Checksum

(MD5):fe1b502fa44e13c5cf7870689a7c3258

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