English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A first intercomparison of the simulated LGM Carbon results within PMIP-Carbon: role of the ocean boundary conditions

Lhardy, F., Bouttes, N., Roche, D., Abe-Ouchi, A., Chase, Z., Crichton, K., et al. (2021). A first intercomparison of the simulated LGM Carbon results within PMIP-Carbon: role of the ocean boundary conditions. Paleoceanography and Paleoclimatology, 36: e2021PA004302. doi:10.1029/2021PA004302.

Item is

Files

show Files
hide Files
:
2021PA004302.pdf (Publisher version), 2MB
Name:
2021PA004302.pdf
Description:
-
OA-Status:
Green
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
2021
Copyright Info:
© AGU
License:
-

Locators

show

Creators

show
hide
 Creators:
Lhardy, F., Author
Bouttes, N., Author
Roche, D.M., Author
Abe-Ouchi, A., Author
Chase, Z., Author
Crichton, K.A., Author
Ilyina, Tatiana1, Author                 
Ivanovic, R., Author
Jochum, M., Author
Kageyama, M., Author
Kobayashi, H., Author
Liu, B., Author
Menviel, L., Author
Muglia, J., Author
Nuterman, R., Author
Oka, A., Author
Vettoretti, G., Author
Yamamoto, A., Author
Affiliations:
1Ocean Biogeochemistry, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, ou_913556              

Content

show
hide
Free keywords: biogeochemical cycle; boundary condition; carbon cycle; Last Glacial Maximum; Last Glacial-Interglacial; simulation
 Abstract: Model intercomparison studies of coupled carbon-climate simulations have the potential to improve our understanding of the processes explaining the (Formula presented.) 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 (Formula presented.) GtC effect of an alkalinity adjustment on carbon sequestration in the ocean. Finally, we observe that PMIP-carbon models with a freely evolving (Formula presented.) and no additional glacial mechanisms do not simulate the (Formula presented.) 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. © 2021. American Geophysical Union. All Rights Reserved.

Details

show
hide
Language(s): eng - English
 Dates: 2021-102021-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1029/2021PA004302
BibTex Citekey: LhardyBouttesEtAl2021
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Paleoceanography and Paleoclimatology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: John Wiley and Sons Inc
Pages: - Volume / Issue: 36 Sequence Number: e2021PA004302 Start / End Page: - Identifier: ISSN: 25724517