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 Phytoplan...

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Published in:Geophysical Research Letters
Main Authors: Henson, Stephanie A., Raitsos, Dionysios, Dunne, John P., McQuatters‐Gollop, Abigail
Format: Article in Journal/Newspaper
Language:unknown
Published: 2009
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/171934/
http://www.agu.org/pubs/crossref/2009/2009GL040874.shtml
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spelling ftnerc:oai:nora.nerc.ac.uk:171934 2023-05-15T17:32:22+02:00 Decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset Henson, Stephanie A. Raitsos, Dionysios Dunne, John P. McQuatters‐Gollop, Abigail 2009-11-16 http://nora.nerc.ac.uk/id/eprint/171934/ http://www.agu.org/pubs/crossref/2009/2009GL040874.shtml unknown Henson, Stephanie A. orcid:0000-0002-3875-6802 Raitsos, Dionysios; Dunne, John P.; McQuatters‐Gollop, Abigail. 2009 Decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset. Geophysical Research Letters, 36 (11). L21601. https://doi.org/10.1029/2009GL040874 <https://doi.org/10.1029/2009GL040874> Publication - Article PeerReviewed 2009 ftnerc https://doi.org/10.1029/2009GL040874 2023-02-04T19:35:33Z 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. Article in Journal/Newspaper North Atlantic Natural Environment Research Council: NERC Open Research Archive Geophysical Research Letters 36 21
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language unknown
description 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.
format Article in Journal/Newspaper
author Henson, Stephanie A.
Raitsos, Dionysios
Dunne, John P.
McQuatters‐Gollop, Abigail
spellingShingle Henson, Stephanie A.
Raitsos, Dionysios
Dunne, John P.
McQuatters‐Gollop, Abigail
Decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset
author_facet Henson, Stephanie A.
Raitsos, Dionysios
Dunne, John P.
McQuatters‐Gollop, Abigail
author_sort Henson, Stephanie A.
title Decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset
title_short Decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset
title_full Decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset
title_fullStr Decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset
title_full_unstemmed Decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset
title_sort decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset
publishDate 2009
url http://nora.nerc.ac.uk/id/eprint/171934/
http://www.agu.org/pubs/crossref/2009/2009GL040874.shtml
genre North Atlantic
genre_facet North Atlantic
op_relation Henson, Stephanie A. orcid:0000-0002-3875-6802
Raitsos, Dionysios; Dunne, John P.; McQuatters‐Gollop, Abigail. 2009 Decadal variability in biogeochemical models: comparison with a 50‐year ocean colour dataset. Geophysical Research Letters, 36 (11). L21601. https://doi.org/10.1029/2009GL040874 <https://doi.org/10.1029/2009GL040874>
op_doi https://doi.org/10.1029/2009GL040874
container_title Geophysical Research Letters
container_volume 36
container_issue 21
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