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| Titel |
Climate-induced interannual variability of marine primary and export production in three global coupled climate carbon cycle models |
| VerfasserIn |
B. Schneider, L. Bopp, M. Gehlen, J. Segschneider, T. L. Frölicher, P. Cadule, P. Friedlingstein, S. C. Doney, M. J. Behrenfeld, F. Joos |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 5, no. 2 ; Nr. 5, no. 2 (2008-04-23), S.597-614 |
| Datensatznummer |
250002389
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| Publikation (Nr.) |
 copernicus.org/bg-5-597-2008.pdf |
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| Zusammenfassung |
| Fully coupled climate carbon cycle models are sophisticated tools that
are used to predict future climate change and its impact on the land
and ocean carbon cycles. These models should be able to adequately
represent natural variability, requiring model validation by
observations. The present study focuses on the ocean carbon cycle
component, in particular the spatial and temporal variability in net
primary productivity (PP) and export production (EP) of particulate
organic carbon (POC). Results from three coupled climate carbon cycle
models (IPSL, MPIM, NCAR) are compared with observation-based
estimates derived from satellite measurements of ocean colour and
results from inverse modelling (data assimilation). Satellite
observations of ocean colour have shown that temporal variability of
PP on the global scale is largely dominated by the permanently
stratified, low-latitude ocean (Behrenfeld et al.,
2006) with stronger stratification (higher sea
surface temperature; SST) being associated with negative PP
anomalies. Results from all three coupled models confirm the role of
the low-latitude, permanently stratified ocean for anomalies in
globally integrated PP, but only one model (IPSL) also reproduces the
inverse relationship between stratification (SST) and PP. An adequate
representation of iron and macronutrient co-limitation of
phytoplankton growth in the tropical ocean has shown to be the crucial
mechanism determining the capability of the models to reproduce
observed interactions between climate and PP. |
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