Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment
Estimates of ocean CO2 uptake from global ocean biogeochemistry models and pCO2-based data products differ substantially, especially in high latitudes and in the trend of the CO2 uptake since 2000. Here, we assess the effect of data sparsity on two pCO2-based estimates by subsampling output from a g...
Published in: | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
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Online Access: | https://epic.awi.de/id/eprint/57781/ https://epic.awi.de/id/eprint/57781/1/Hauck2023.pdf https://hdl.handle.net/10013/epic.02beec5a-96e1-4693-b36a-ccf90eecbd36 |
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ftawi:oai:epic.awi.de:57781 2024-09-15T18:37:01+00:00 Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment Hauck, Judith Nissen, Cara Landschützer, Peter Rödenbeck, Christian Bushinsky, Seth Olsen, Are 2023-05-08 application/pdf https://epic.awi.de/id/eprint/57781/ https://epic.awi.de/id/eprint/57781/1/Hauck2023.pdf https://hdl.handle.net/10013/epic.02beec5a-96e1-4693-b36a-ccf90eecbd36 unknown The Royal Society https://epic.awi.de/id/eprint/57781/1/Hauck2023.pdf Hauck, J. orcid:0000-0003-4723-9652 , Nissen, C. , Landschützer, P. , Rödenbeck, C. , Bushinsky, S. and Olsen, A. (2023) Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment , Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 381 (2249), p. 20220063 . doi:10.1098/rsta.2022.0063 <https://doi.org/10.1098/rsta.2022.0063> , hdl:10013/epic.02beec5a-96e1-4693-b36a-ccf90eecbd36 EPIC3Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, The Royal Society, 381(2249), pp. 20220063-20220063, ISSN: 1364-503X Article isiRev 2023 ftawi https://doi.org/10.1098/rsta.2022.0063 2024-08-26T14:07:25Z Estimates of ocean CO2 uptake from global ocean biogeochemistry models and pCO2-based data products differ substantially, especially in high latitudes and in the trend of the CO2 uptake since 2000. Here, we assess the effect of data sparsity on two pCO2-based estimates by subsampling output from a global ocean biogeochemistry model. The estimates of the ocean CO2 uptake are improved from a sampling scheme that mimics present-day sampling to an ideal sampling scheme with 1000 evenly distributed sites. In particular, insufficient sampling has given rise to strong biases in the trend of the ocean carbon sink in the pCO2 products. The overestimation of the CO2 flux trend by 20-35% globally and 50-130% in the Southern Ocean with the present-day sampling is reduced to less than 15% with the ideal sampling scheme. A substantial overestimation of the decadal variability of the Southern Ocean carbon sink occurs in one product and appears related to a skewed data distribution in pCO2 space. With the ideal sampling, the bias in the mean CO2 flux is reduced from 9-12% to 2-9% globally and from 14-26% to 5-17% in the Southern Ocean. On top of that, discrepancies of about 0.4 PgC yr-1 (15%) persist due to uncertainties in the gas-exchange calculation. This article is part of a discussion meeting issue 'Heat and carbon uptake in the Southern Ocean: the state of the art and future priorities'. Article in Journal/Newspaper Southern Ocean Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 381 2249 |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
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description |
Estimates of ocean CO2 uptake from global ocean biogeochemistry models and pCO2-based data products differ substantially, especially in high latitudes and in the trend of the CO2 uptake since 2000. Here, we assess the effect of data sparsity on two pCO2-based estimates by subsampling output from a global ocean biogeochemistry model. The estimates of the ocean CO2 uptake are improved from a sampling scheme that mimics present-day sampling to an ideal sampling scheme with 1000 evenly distributed sites. In particular, insufficient sampling has given rise to strong biases in the trend of the ocean carbon sink in the pCO2 products. The overestimation of the CO2 flux trend by 20-35% globally and 50-130% in the Southern Ocean with the present-day sampling is reduced to less than 15% with the ideal sampling scheme. A substantial overestimation of the decadal variability of the Southern Ocean carbon sink occurs in one product and appears related to a skewed data distribution in pCO2 space. With the ideal sampling, the bias in the mean CO2 flux is reduced from 9-12% to 2-9% globally and from 14-26% to 5-17% in the Southern Ocean. On top of that, discrepancies of about 0.4 PgC yr-1 (15%) persist due to uncertainties in the gas-exchange calculation. This article is part of a discussion meeting issue 'Heat and carbon uptake in the Southern Ocean: the state of the art and future priorities'. |
format |
Article in Journal/Newspaper |
author |
Hauck, Judith Nissen, Cara Landschützer, Peter Rödenbeck, Christian Bushinsky, Seth Olsen, Are |
spellingShingle |
Hauck, Judith Nissen, Cara Landschützer, Peter Rödenbeck, Christian Bushinsky, Seth Olsen, Are Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment |
author_facet |
Hauck, Judith Nissen, Cara Landschützer, Peter Rödenbeck, Christian Bushinsky, Seth Olsen, Are |
author_sort |
Hauck, Judith |
title |
Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment |
title_short |
Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment |
title_full |
Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment |
title_fullStr |
Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment |
title_full_unstemmed |
Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment |
title_sort |
sparse observations induce large biases in estimates of the global ocean co2 sink: an ocean model subsampling experiment |
publisher |
The Royal Society |
publishDate |
2023 |
url |
https://epic.awi.de/id/eprint/57781/ https://epic.awi.de/id/eprint/57781/1/Hauck2023.pdf https://hdl.handle.net/10013/epic.02beec5a-96e1-4693-b36a-ccf90eecbd36 |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
EPIC3Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, The Royal Society, 381(2249), pp. 20220063-20220063, ISSN: 1364-503X |
op_relation |
https://epic.awi.de/id/eprint/57781/1/Hauck2023.pdf Hauck, J. orcid:0000-0003-4723-9652 , Nissen, C. , Landschützer, P. , Rödenbeck, C. , Bushinsky, S. and Olsen, A. (2023) Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment , Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 381 (2249), p. 20220063 . doi:10.1098/rsta.2022.0063 <https://doi.org/10.1098/rsta.2022.0063> , hdl:10013/epic.02beec5a-96e1-4693-b36a-ccf90eecbd36 |
op_doi |
https://doi.org/10.1098/rsta.2022.0063 |
container_title |
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
container_volume |
381 |
container_issue |
2249 |
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1810481070716485632 |