A First Intercomparison of the Simulated LGM Carbon Results Within PMIP‐Carbon: Role of the Ocean Boundary Conditions
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- F. Lhardy
- Laboratoire des Sciences du Climat et de l'Environnement CEA‐CNRS‐UVSQ Gif‐sur‐Yvette France
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- N. Bouttes
- Laboratoire des Sciences du Climat et de l'Environnement CEA‐CNRS‐UVSQ Gif‐sur‐Yvette France
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- D. M. Roche
- Laboratoire des Sciences du Climat et de l'Environnement CEA‐CNRS‐UVSQ Gif‐sur‐Yvette France
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- A. Abe‐Ouchi
- Atmosphere and Ocean Research Institute The University of Tokyo Kashiwa Japan
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- Z. Chase
- University of Tasmania Hobart Australia
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- K. A. Crichton
- School of Geography Exeter University Exeter UK
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- T. Ilyina
- Max Planck Institute for Meteorology Hamburg Germany
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- R. Ivanovic
- University of Leeds Leeds UK
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- M. Jochum
- Niels Bohr Institute University of Copenhagen Copenhagen Denmark
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- M. Kageyama
- Laboratoire des Sciences du Climat et de l'Environnement CEA‐CNRS‐UVSQ Gif‐sur‐Yvette France
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- H. Kobayashi
- Atmosphere and Ocean Research Institute The University of Tokyo Kashiwa Japan
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- B. Liu
- Max Planck Institute for Meteorology Hamburg Germany
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- L. Menviel
- Climate Change Research Centre The University of New South Wales Sydney Australia
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- J. Muglia
- Centro para el Estudio de los Sistemas Marinos CONICET Puerto Madryn Argentina
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- R. Nuterman
- Niels Bohr Institute University of Copenhagen Copenhagen Denmark
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- A. Oka
- Atmosphere and Ocean Research Institute The University of Tokyo Kashiwa Japan
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- G. Vettoretti
- Niels Bohr Institute University of Copenhagen Copenhagen Denmark
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- A. Yamamoto
- Japan Agency for Marine‐Earth Science and Technology Yokohama Japan
説明
<jats:title>Abstract</jats:title><jats:p>Model intercomparison studies of coupled carbon‐climate simulations have the potential to improve our understanding of the processes explaining the <jats:inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="graphic/palo21089-math-0001.png" xlink:title="urn:x-wiley:25724517:media:palo21089:palo21089-math-0001" /> drawdown at the Last Glacial Maximum (LGM) and to identify related model biases. Models participating in the Paleoclimate Modeling Intercomparison Project (PMIP) now frequently include the carbon cycle. The ongoing PMIP‐carbon project provides the first opportunity to conduct multimodel comparisons of simulated carbon content for the LGM time window. However, such a study remains challenging due to differing implementation of ocean boundary conditions (e.g., bathymetry and coastlines reflecting the low sea level) and to various associated adjustments of biogeochemical variables (i.e., alkalinity, nutrients, dissolved inorganic carbon). After assessing the ocean volume of PMIP models at the pre‐industrial and LGM, we investigate the impact of these modeling choices on the simulated carbon at the global scale, using both PMIP‐carbon model outputs and sensitivity tests with the iLOVECLIM model. We show that the carbon distribution in reservoirs is significantly affected by the choice of ocean boundary conditions in iLOVECLIM. In particular, our simulations demonstrate a <jats:inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="graphic/palo21089-math-0002.png" xlink:title="urn:x-wiley:25724517:media:palo21089:palo21089-math-0002" /> GtC effect of an alkalinity adjustment on carbon sequestration in the ocean. Finally, we observe that PMIP‐carbon models with a freely evolving <jats:inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="graphic/palo21089-math-0003.png" xlink:title="urn:x-wiley:25724517:media:palo21089:palo21089-math-0003" /> and no additional glacial mechanisms do not simulate the <jats:inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="graphic/palo21089-math-0004.png" xlink:title="urn:x-wiley:25724517:media:palo21089:palo21089-math-0004" /> drawdown at the LGM (with concentrations as high as 313, 331, and 315 ppm), especially if they use a low ocean volume. Our findings suggest that great care should be taken on accounting for large bathymetry changes in models including the carbon cycle.</jats:p>
収録刊行物
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- Paleoceanography and Paleoclimatology
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Paleoceanography and Paleoclimatology 36 (10), 2021-09-29
American Geophysical Union (AGU)
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詳細情報 詳細情報について
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- CRID
- 1360857593651960192
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- ISSN
- 25724525
- 25724517
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- データソース種別
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- Crossref
- KAKEN