Evaluating the ocean biogeochemical components of Earth system models using atmospheric potential oxygen and ocean color data

The observed seasonal cycles in atmospheric potential oxygen (APO) at a range of mid- to high-latitude surface monitoring sites are compared to those inferred from the output of six Earth system models (ESMs) participating in the fifth phase of the Coupled Model Intercomparison Project phase 5 (CMIP...

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Main Authors: C. D. Nevison, M. Manizza, R. F. Keeling, M. Kahru, L. Bopp, J. Dunne, J. Tiputra, T. Ilyina, B. G. Mitchell
Format: Article
Language:English
Published: Copernicus Publications 2015-01-01
Series:Biogeosciences
Online Access:http://www.biogeosciences.net/12/193/2015/bg-12-193-2015.pdf
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spelling doaj-dc95be9fe1b24ff4847ab735818e1dd02020-11-24T21:27:53ZengCopernicus PublicationsBiogeosciences1726-41701726-41892015-01-0112119320810.5194/bg-12-193-2015Evaluating the ocean biogeochemical components of Earth system models using atmospheric potential oxygen and ocean color dataC. D. Nevison0M. Manizza1R. F. Keeling2M. Kahru3L. Bopp4J. Dunne5J. Tiputra6T. Ilyina7B. G. Mitchell8University of Colorado, Boulder, Institute for Arctic and Alpine Research, Boulder, Colorado, USAScripps Institution of Oceanography, La Jolla, California, USAScripps Institution of Oceanography, La Jolla, California, USAScripps Institution of Oceanography, La Jolla, California, USAIPSL/LSCE, UMR8212, CNRS-CEA-UVSQ, Gif sur Yvette, FranceNational Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USAUni Climate, Uni Research and Bjerknes Centre for Climate Research, Bergen, NorwayMax Planck Institute for Meteorology, Hamburg, GermanyScripps Institution of Oceanography, La Jolla, California, USAThe observed seasonal cycles in atmospheric potential oxygen (APO) at a range of mid- to high-latitude surface monitoring sites are compared to those inferred from the output of six Earth system models (ESMs) participating in the fifth phase of the Coupled Model Intercomparison Project phase 5 (CMIP5). The simulated air–sea O<sub>2</sub> fluxes are translated into APO seasonal cycles using a matrix method that takes into account atmospheric transport model (ATM) uncertainty among 13 different ATMs. Three of the ocean biogeochemistry models tested are able to reproduce the observed APO cycles at most sites, to within the large TransCom3-era ATM uncertainty used here, while the other three generally are not. Net primary production (NPP) and net community production (NCP), as estimated from satellite ocean color data, provide additional constraints, albeit more with respect to the seasonal phasing of ocean model productivity than overall magnitude. The present analysis suggests that, of the tested ocean biogeochemistry models, the community ecosystem model (CESM) and the Geophysical Fluid Dynamics Laboratory (GFDL) ESM2M are best able to capture the observed APO seasonal cycle at both northern and southern hemispheric sites. In most models, discrepancies with observed APO can be attributed to the underestimation of NPP, deep ventilation or both in the northern oceans.http://www.biogeosciences.net/12/193/2015/bg-12-193-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author C. D. Nevison
M. Manizza
R. F. Keeling
M. Kahru
L. Bopp
J. Dunne
J. Tiputra
T. Ilyina
B. G. Mitchell
spellingShingle C. D. Nevison
M. Manizza
R. F. Keeling
M. Kahru
L. Bopp
J. Dunne
J. Tiputra
T. Ilyina
B. G. Mitchell
Evaluating the ocean biogeochemical components of Earth system models using atmospheric potential oxygen and ocean color data
Biogeosciences
author_facet C. D. Nevison
M. Manizza
R. F. Keeling
M. Kahru
L. Bopp
J. Dunne
J. Tiputra
T. Ilyina
B. G. Mitchell
author_sort C. D. Nevison
title Evaluating the ocean biogeochemical components of Earth system models using atmospheric potential oxygen and ocean color data
title_short Evaluating the ocean biogeochemical components of Earth system models using atmospheric potential oxygen and ocean color data
title_full Evaluating the ocean biogeochemical components of Earth system models using atmospheric potential oxygen and ocean color data
title_fullStr Evaluating the ocean biogeochemical components of Earth system models using atmospheric potential oxygen and ocean color data
title_full_unstemmed Evaluating the ocean biogeochemical components of Earth system models using atmospheric potential oxygen and ocean color data
title_sort evaluating the ocean biogeochemical components of earth system models using atmospheric potential oxygen and ocean color data
publisher Copernicus Publications
series Biogeosciences
issn 1726-4170
1726-4189
publishDate 2015-01-01
description The observed seasonal cycles in atmospheric potential oxygen (APO) at a range of mid- to high-latitude surface monitoring sites are compared to those inferred from the output of six Earth system models (ESMs) participating in the fifth phase of the Coupled Model Intercomparison Project phase 5 (CMIP5). The simulated air–sea O<sub>2</sub> fluxes are translated into APO seasonal cycles using a matrix method that takes into account atmospheric transport model (ATM) uncertainty among 13 different ATMs. Three of the ocean biogeochemistry models tested are able to reproduce the observed APO cycles at most sites, to within the large TransCom3-era ATM uncertainty used here, while the other three generally are not. Net primary production (NPP) and net community production (NCP), as estimated from satellite ocean color data, provide additional constraints, albeit more with respect to the seasonal phasing of ocean model productivity than overall magnitude. The present analysis suggests that, of the tested ocean biogeochemistry models, the community ecosystem model (CESM) and the Geophysical Fluid Dynamics Laboratory (GFDL) ESM2M are best able to capture the observed APO seasonal cycle at both northern and southern hemispheric sites. In most models, discrepancies with observed APO can be attributed to the underestimation of NPP, deep ventilation or both in the northern oceans.
url http://www.biogeosciences.net/12/193/2015/bg-12-193-2015.pdf
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