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| Titel |
iMarNet: an ocean biogeochemistry model intercomparison project within a common physical ocean modelling framework |
| VerfasserIn |
L. Kwiatkowski, A. Yool, J. I. Allen, T. R. Anderson, R. Barciela, E. T. Buitenhuis, M. Butenschön, C. Enright, P. R. Halloran, C. Le Quere, L. de Mora, M.-F. Racault, B. Sinha, I. J. Totterdell, P. M. Cox |
| 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 ; 11, no. 24 ; Nr. 11, no. 24 (2014-12-19), S.7291-7304 |
| Datensatznummer |
250117749
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| Publikation (Nr.) |
 copernicus.org/bg-11-7291-2014.pdf |
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| Zusammenfassung |
| Ocean biogeochemistry (OBGC) models span a wide variety of complexities, including
highly simplified nutrient-restoring schemes, nutrient–phytoplankton–zooplankton–detritus (NPZD) models that crudely
represent the marine biota, models that represent a broader
trophic structure by grouping organisms as plankton functional types (PFTs)
based on their biogeochemical role (dynamic green ocean models) and
ecosystem models that group organisms by ecological function and trait.
OBGC models are now integral components of Earth system models (ESMs), but
they compete for computing resources with higher resolution dynamical setups
and with other components such as atmospheric chemistry and terrestrial
vegetation schemes. As such, the choice of OBGC in ESMs needs to balance
model complexity and realism alongside relative computing cost. Here we
present an intercomparison of six OBGC models that were candidates for
implementation within the next UK Earth system model (UKESM1). The models
cover a large range of biological complexity (from 7 to 57 tracers) but all
include representations of at least the nitrogen, carbon, alkalinity and
oxygen cycles. Each OBGC model was coupled to the ocean general circulation model Nucleus for European
Modelling of the Ocean (NEMO) and
results from physically identical hindcast simulations were compared. Model
skill was evaluated for biogeochemical metrics of global-scale bulk
properties using conventional statistical techniques. The computing cost of
each model was also measured in standardised tests run at two resource
levels. No model is shown to consistently outperform all other models across
all metrics. Nonetheless, the simpler models are broadly closer to
observations across a number of fields and thus offer a high-efficiency
option for ESMs that prioritise high-resolution climate dynamics. However,
simpler models provide limited insight into more complex marine
biogeochemical processes and ecosystem pathways, and a parallel approach of
low-resolution climate dynamics and high-complexity biogeochemistry is
desirable in order to provide additional insights into biogeochemistry–climate interactions. |
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