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| Titel |
The efficient global primitive equation climate model SPEEDO V2.0 |
| VerfasserIn |
C. A. Severijns, W. Hazeleger |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 3, no. 1 ; Nr. 3, no. 1 (2010-02-10), S.105-122 |
| Datensatznummer |
250000797
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| Publikation (Nr.) |
 copernicus.org/gmd-3-105-2010.pdf |
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| Zusammenfassung |
| The efficient primitive-equation coupled atmosphere-ocean model SPEEDO V2.0
is presented. The model includes an interactive sea-ice and land component.
SPEEDO is a global earth system model of intermediate complexity. It has a
horizontal resolution of T30 (triangular truncation at wave number 30) and 8
vertical layers in the atmosphere, and a horizontal resolution of 2 degrees
and 20 levels in the ocean. The parameterisations in SPEEDO are developed in
such a way that it is a fast model suitable for large ensembles or long runs
(of O(104) years) on a typical current workstation. The model has no flux
correction. We compare the mean state and inter-annual variability of the
model with observational fields of the atmosphere and ocean. In particular
the atmospheric circulation, the mid-latitude patterns of variability and
teleconnections from the tropics are well simulated. To show the capabilities
of the model, we performed a long control run and an ensemble experiment with
enhanced greenhouse gases. The long control run shows that the model is
stable. CO2 doubling and future climate change scenario experiments show a
climate sensitivity of 1.84 K W-1 m2, which is within the range
of state-of-the-art climate models. The spatial response patterns are
comparable to state-of-the-art, higher resolution models. However, for very
high greenhouse gas concentrations the parameterisations are not valid. We
conclude that the model is suitable for past, current and future climate
simulations and for exploring wide parameter ranges and mechanisms of
variability. However, as with any model, users should be careful when using
the model beyond the range of physical realism of the parameterisations and
model setup. |
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