Model constraints on the anthropogenic carbon budget of the Arctic Ocean
The Arctic Ocean is projected to experience not only amplified climate change but also amplified ocean acidification. Modeling future acidification depends on our ability to simulate baseline conditions and changes over the industrial era. Such centennial-scale changes require a global model to acco...
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ftdoajarticles:oai:doaj.org/article:f7df6da52ef24749b9406a72af30b907 2023-05-15T14:37:37+02:00 Model constraints on the anthropogenic carbon budget of the Arctic Ocean J. Terhaar J. C. Orr M. Gehlen C. Ethé L. Bopp 2019-06-01T00:00:00Z https://doi.org/10.5194/bg-16-2343-2019 https://doaj.org/article/f7df6da52ef24749b9406a72af30b907 EN eng Copernicus Publications https://www.biogeosciences.net/16/2343/2019/bg-16-2343-2019.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-16-2343-2019 1726-4170 1726-4189 https://doaj.org/article/f7df6da52ef24749b9406a72af30b907 Biogeosciences, Vol 16, Pp 2343-2367 (2019) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.5194/bg-16-2343-2019 2022-12-31T10:09:19Z The Arctic Ocean is projected to experience not only amplified climate change but also amplified ocean acidification. Modeling future acidification depends on our ability to simulate baseline conditions and changes over the industrial era. Such centennial-scale changes require a global model to account for exchange between the Arctic and surrounding regions. Yet the coarse resolution of typical global models may poorly resolve that exchange as well as critical features of Arctic Ocean circulation. Here we assess how simulations of Arctic Ocean storage of anthropogenic carbon ( C ant ), the main driver of open-ocean acidification, differ when moving from coarse to eddy-admitting resolution in a global ocean-circulation–biogeochemistry model (Nucleus for European Modeling of the Ocean, NEMO; Pelagic Interactions Scheme for Carbon and Ecosystem Studies, PISCES). The Arctic's regional storage of C ant is enhanced as model resolution increases. While the coarse-resolution model configuration ORCA2 (2 ∘ ) stores 2.0 Pg C in the Arctic Ocean between 1765 and 2005, the eddy-admitting versions ORCA05 and ORCA025 ( 1∕2 ∘ and 1∕4 ∘ ) store 2.4 and 2.6 Pg C. The difference in inventory between model resolutions that is accounted for is only from their divergence after 1958, when ORCA2 and ORCA025 were initialized with output from the intermediate-resolution configuration (ORCA05). The difference would have been larger had all model resolutions been initialized in 1765 as was ORCA05. The ORCA025 Arctic C ant storage estimate of 2.6 Pg C should be considered a lower limit because that model generally underestimates observed CFC-12 concentrations. It reinforces the lower limit from a previous data-based approach (2.5 to 3.3 Pg C). Independent of model resolution, there was roughly 3 times as much C ant that entered the Arctic Ocean through lateral transport than via the flux of CO 2 across the air–sea interface. Wider comparison to nine earth system models that participated in the Coupled Model Intercomparison Project Phase 5 ... Article in Journal/Newspaper Arctic Arctic Ocean Climate change Ocean acidification Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Biogeosciences 16 11 2343 2367 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
spellingShingle |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 J. Terhaar J. C. Orr M. Gehlen C. Ethé L. Bopp Model constraints on the anthropogenic carbon budget of the Arctic Ocean |
topic_facet |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
description |
The Arctic Ocean is projected to experience not only amplified climate change but also amplified ocean acidification. Modeling future acidification depends on our ability to simulate baseline conditions and changes over the industrial era. Such centennial-scale changes require a global model to account for exchange between the Arctic and surrounding regions. Yet the coarse resolution of typical global models may poorly resolve that exchange as well as critical features of Arctic Ocean circulation. Here we assess how simulations of Arctic Ocean storage of anthropogenic carbon ( C ant ), the main driver of open-ocean acidification, differ when moving from coarse to eddy-admitting resolution in a global ocean-circulation–biogeochemistry model (Nucleus for European Modeling of the Ocean, NEMO; Pelagic Interactions Scheme for Carbon and Ecosystem Studies, PISCES). The Arctic's regional storage of C ant is enhanced as model resolution increases. While the coarse-resolution model configuration ORCA2 (2 ∘ ) stores 2.0 Pg C in the Arctic Ocean between 1765 and 2005, the eddy-admitting versions ORCA05 and ORCA025 ( 1∕2 ∘ and 1∕4 ∘ ) store 2.4 and 2.6 Pg C. The difference in inventory between model resolutions that is accounted for is only from their divergence after 1958, when ORCA2 and ORCA025 were initialized with output from the intermediate-resolution configuration (ORCA05). The difference would have been larger had all model resolutions been initialized in 1765 as was ORCA05. The ORCA025 Arctic C ant storage estimate of 2.6 Pg C should be considered a lower limit because that model generally underestimates observed CFC-12 concentrations. It reinforces the lower limit from a previous data-based approach (2.5 to 3.3 Pg C). Independent of model resolution, there was roughly 3 times as much C ant that entered the Arctic Ocean through lateral transport than via the flux of CO 2 across the air–sea interface. Wider comparison to nine earth system models that participated in the Coupled Model Intercomparison Project Phase 5 ... |
format |
Article in Journal/Newspaper |
author |
J. Terhaar J. C. Orr M. Gehlen C. Ethé L. Bopp |
author_facet |
J. Terhaar J. C. Orr M. Gehlen C. Ethé L. Bopp |
author_sort |
J. Terhaar |
title |
Model constraints on the anthropogenic carbon budget of the Arctic Ocean |
title_short |
Model constraints on the anthropogenic carbon budget of the Arctic Ocean |
title_full |
Model constraints on the anthropogenic carbon budget of the Arctic Ocean |
title_fullStr |
Model constraints on the anthropogenic carbon budget of the Arctic Ocean |
title_full_unstemmed |
Model constraints on the anthropogenic carbon budget of the Arctic Ocean |
title_sort |
model constraints on the anthropogenic carbon budget of the arctic ocean |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/bg-16-2343-2019 https://doaj.org/article/f7df6da52ef24749b9406a72af30b907 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Climate change Ocean acidification |
genre_facet |
Arctic Arctic Ocean Climate change Ocean acidification |
op_source |
Biogeosciences, Vol 16, Pp 2343-2367 (2019) |
op_relation |
https://www.biogeosciences.net/16/2343/2019/bg-16-2343-2019.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-16-2343-2019 1726-4170 1726-4189 https://doaj.org/article/f7df6da52ef24749b9406a72af30b907 |
op_doi |
https://doi.org/10.5194/bg-16-2343-2019 |
container_title |
Biogeosciences |
container_volume |
16 |
container_issue |
11 |
container_start_page |
2343 |
op_container_end_page |
2367 |
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1766309836622921728 |