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| Titel |
Climate Change impact on Polar motion excitation in a comparison of Coupled General Circulation Models |
| VerfasserIn |
N. Schoen, M. Kniebusch, U. Ulbrich, G. C. Leckebusch, P. Névir, M. Thomas, F. Seitz |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250070270
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| Zusammenfassung |
| Earth orientation parameters (EOPs) are strongly influenced by atmospheric and oceanic mass and
motion variations, and therefore may help provide an independent measure of climate variability.
Coupled Atmosphere-Ocean General Circulation Models (GCMs) simulate the variations in the
atmosphere and the ocean in a physically consistent way. Thus, the GCMs can be inter-compared with
respect to the derived EOP variations.
Global warming has been shown to exert a major effect on Length-of-Day, caused by an enhancement
in atmospheric motion. However, a comprehensive assessment of the impact of climate change on polar
motion excitation has not yet been presented.
In this paper, an inter-model comparison of a Climate Change signal (A1B – 20C) in Polar Motion is
provided for a set of model runs from the WCRP CMIP-3 campaign. The models used in the
comparison are the ECHAM5/OM1, GFDL CM2, NCAR CCSM3, and UK MetOffice HadCM3. As an
additional fifth model, we use tidal and non-tidal runs from the ECOCTH model, which consists of the
ECHAM5/OM1 with a tidal coupler.
First, a basic consistency check was performed for multi-century control runs of the models. The twodimensional
excitation fields for atmospheric mass and motion, as well as oceanic mass and motion are
compared. Also, the globally integrated EOPs are analysed both in time and spectral domain.
The comparison yields, e.g., for the atmospheric mass component of polar motion excitation, very good
agreement between the models with respect to the annual cycle. In the Taylor diagrams comparing the
main EOFs from the two-dimensional excitation fields calculated from the atmospheric mass
distribution, we also obtain good agreement. All five main EOFs show correlations in the range of 0.75
to 0.98 in the inter-model comparison.
In a second step, the impact of climate change signal, i.e. the difference between two 30-year periods
from the beginning and the end of the A1B run, is analysed. |
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