The University of Southampton
University of Southampton Institutional Repository

Decadal variability in biogeochemical models: comparison with a 50?year ocean colour dataset

Decadal variability in biogeochemical models: comparison with a 50?year ocean colour dataset
Decadal variability in biogeochemical models: comparison with a 50?year ocean colour dataset
Assessing the skill of biogeochemical models to hindcast past variability is challenging, yet vital in order to assess their ability to predict biogeochemical change. However, the validation of decadal variability is limited by the sparsity of consistent, long?term biological datasets. The Phytoplankton Colour Index (PCI) product from the Continuous Plankton Recorder survey, which has been sampling the North Atlantic since 1948, is an example of such a dataset. Converting the PCI to chlorophyll values using SeaWiFS data allows a direct comparison with model output. Here we validate decadal variability in chlorophyll from the GFDL TOPAZ model. The model demonstrates skill at reproducing interannual variability, but cannot simulate the regime shifts evident in the PCI data. Comparison of the model output, data and climate indices highlights under?represented processes that it may be necessary to include in future biogeochemical models in order to accurately simulate decadal variability in ocean ecosystems.
0094-8276
L21601
Henson, Stephanie A.
d6532e17-a65b-4d7b-9ee3-755ecb565c19
Raitsos, Dionysios
8f32e513-72a6-4aa4-b744-478937483dcc
Dunne, John P.
508bf510-9fcb-4bf8-998f-f1a0e3f471a7
McQuatters‐Gollop, Abigail
e23dd1df-58e2-46c8-bb87-0496c4860e1c
Henson, Stephanie A.
d6532e17-a65b-4d7b-9ee3-755ecb565c19
Raitsos, Dionysios
8f32e513-72a6-4aa4-b744-478937483dcc
Dunne, John P.
508bf510-9fcb-4bf8-998f-f1a0e3f471a7
McQuatters‐Gollop, Abigail
e23dd1df-58e2-46c8-bb87-0496c4860e1c

Henson, Stephanie A., Raitsos, Dionysios, Dunne, John P. and McQuatters‐Gollop, Abigail (2009) Decadal variability in biogeochemical models: comparison with a 50?year ocean colour dataset. Geophysical Research Letters, 36 (11), L21601. (doi:10.1029/2009GL040874).

Record type: Article

Abstract

Assessing the skill of biogeochemical models to hindcast past variability is challenging, yet vital in order to assess their ability to predict biogeochemical change. However, the validation of decadal variability is limited by the sparsity of consistent, long?term biological datasets. The Phytoplankton Colour Index (PCI) product from the Continuous Plankton Recorder survey, which has been sampling the North Atlantic since 1948, is an example of such a dataset. Converting the PCI to chlorophyll values using SeaWiFS data allows a direct comparison with model output. Here we validate decadal variability in chlorophyll from the GFDL TOPAZ model. The model demonstrates skill at reproducing interannual variability, but cannot simulate the regime shifts evident in the PCI data. Comparison of the model output, data and climate indices highlights under?represented processes that it may be necessary to include in future biogeochemical models in order to accurately simulate decadal variability in ocean ecosystems.

This record has no associated files available for download.

More information

Published date: 16 November 2009
Organisations: National Oceanography Centre,Southampton

Identifiers

Local EPrints ID: 71934
URI: http://eprints.soton.ac.uk/id/eprint/71934
ISSN: 0094-8276
PURE UUID: eec6924b-4e49-4990-a68b-d099ea9ec26f

Catalogue record

Date deposited: 11 Jan 2010
Last modified: 13 Mar 2024 20:49

Export record

Altmetrics

Contributors

Author: Dionysios Raitsos
Author: John P. Dunne
Author: Abigail McQuatters‐Gollop

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×