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Titel |
Assimilating GlobColour ocean colour data into a pre-operational physical-biogeochemical model |
VerfasserIn |
D. A. Ford, K. P. Edwards, D. Lea, R. M. Barciela, M. J. Martin, J. Demaria |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1812-0784
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Digitales Dokument |
URL |
Erschienen |
In: Ocean Science ; 8, no. 5 ; Nr. 8, no. 5 (2012-09-05), S.751-771 |
Datensatznummer |
250005867
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Publikation (Nr.) |
copernicus.org/os-8-751-2012.pdf |
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Zusammenfassung |
As part of the GlobColour project, daily chlorophyll a observations,
derived using remotely sensed ocean colour data from the MERIS, MODIS and
SeaWiFS sensors, are produced. The ability of these products to be
assimilated into a pre-operational global coupled physical-biogeochemical
model has been tested, on both a hindcast and near-real-time basis, and the
impact on the system assessed. The assimilation was found to immediately and
considerably improve the bias, root mean square error and correlation of
modelled surface chlorophyll concentration compared to the GlobColour
observations, an improvement which was sustained throughout the year and in
every ocean basin. Errors against independent in situ chlorophyll
observations were also reduced, both at and beneath the ocean surface.
However, the model fit to in situ observations was not consistently better
than that of climatology, due to errors in the underlying model. The
assimilation scheme used is multivariate, updating all biogeochemical model
state variables at all depths. The other variables were not degraded by the
assimilation, with annual mean surface fields of nutrients, alkalinity and
carbon variables remaining of similar quality compared to climatology. There
was evidence of improved representation of zooplankton concentration, and
reduced errors were seen against in situ observations of nitrate and
pCO2, but too few observations were available to conclude about global
model skill. The near-real-time GlobColour products were found to be
sufficiently reliable for operational purposes, and of benefit to both
operational-style systems and reanalyses. |
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