Stable water isotopes in the MITgcm
We present the first results of the implementation of stable water isotopes in the Massachusetts Institute of Technology general circulation model (MITgcm). The model is forced with the isotopic content of precipitation and water vapor from an atmospheric general circulation model (NCAR IsoCAM), whi...
Published in: | Geoscientific Model Development |
---|---|
Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2017
|
Subjects: | |
Online Access: | https://doi.org/10.5194/gmd-10-3125-2017 https://doaj.org/article/70b4644c16454ff19be2bcac5a34352b |
id |
ftdoajarticles:oai:doaj.org/article:70b4644c16454ff19be2bcac5a34352b |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:70b4644c16454ff19be2bcac5a34352b 2023-05-15T15:09:50+02:00 Stable water isotopes in the MITgcm R. Völpel A. Paul A. Krandick S. Mulitza M. Schulz 2017-08-01T00:00:00Z https://doi.org/10.5194/gmd-10-3125-2017 https://doaj.org/article/70b4644c16454ff19be2bcac5a34352b EN eng Copernicus Publications https://www.geosci-model-dev.net/10/3125/2017/gmd-10-3125-2017.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-10-3125-2017 1991-959X 1991-9603 https://doaj.org/article/70b4644c16454ff19be2bcac5a34352b Geoscientific Model Development, Vol 10, Pp 3125-3144 (2017) Geology QE1-996.5 article 2017 ftdoajarticles https://doi.org/10.5194/gmd-10-3125-2017 2022-12-31T14:22:58Z We present the first results of the implementation of stable water isotopes in the Massachusetts Institute of Technology general circulation model (MITgcm). The model is forced with the isotopic content of precipitation and water vapor from an atmospheric general circulation model (NCAR IsoCAM), while the fractionation during evaporation is treated explicitly in the MITgcm. Results of the equilibrium simulation under pre-industrial conditions are compared to observational data and measurements of plankton tow records (the oxygen isotopic composition of planktic foraminiferal calcite). The broad patterns and magnitude of the stable water isotopes in annual mean seawater are well captured in the model, both at the sea surface as well as in the deep ocean. However, the surface water in the Arctic Ocean is not depleted enough, due to the absence of highly depleted precipitation and snowfall. A model–data mismatch is also recognizable in the isotopic composition of the seawater–salinity relationship in midlatitudes that is mainly caused by the coarse grid resolution. Deep-ocean characteristics of the vertical water mass distribution in the Atlantic Ocean closely resemble observational data. The reconstructed δ 18 O c at the sea surface shows a good agreement with measurements. However, the model–data fit is weaker when individual species are considered and deviations are most likely attributable to the habitat depth of the foraminifera. Overall, the newly developed stable water isotope package opens wide prospects for long-term simulations in a paleoclimatic context. Article in Journal/Newspaper Arctic Arctic Ocean Foraminifera* Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Geoscientific Model Development 10 8 3125 3144 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 R. Völpel A. Paul A. Krandick S. Mulitza M. Schulz Stable water isotopes in the MITgcm |
topic_facet |
Geology QE1-996.5 |
description |
We present the first results of the implementation of stable water isotopes in the Massachusetts Institute of Technology general circulation model (MITgcm). The model is forced with the isotopic content of precipitation and water vapor from an atmospheric general circulation model (NCAR IsoCAM), while the fractionation during evaporation is treated explicitly in the MITgcm. Results of the equilibrium simulation under pre-industrial conditions are compared to observational data and measurements of plankton tow records (the oxygen isotopic composition of planktic foraminiferal calcite). The broad patterns and magnitude of the stable water isotopes in annual mean seawater are well captured in the model, both at the sea surface as well as in the deep ocean. However, the surface water in the Arctic Ocean is not depleted enough, due to the absence of highly depleted precipitation and snowfall. A model–data mismatch is also recognizable in the isotopic composition of the seawater–salinity relationship in midlatitudes that is mainly caused by the coarse grid resolution. Deep-ocean characteristics of the vertical water mass distribution in the Atlantic Ocean closely resemble observational data. The reconstructed δ 18 O c at the sea surface shows a good agreement with measurements. However, the model–data fit is weaker when individual species are considered and deviations are most likely attributable to the habitat depth of the foraminifera. Overall, the newly developed stable water isotope package opens wide prospects for long-term simulations in a paleoclimatic context. |
format |
Article in Journal/Newspaper |
author |
R. Völpel A. Paul A. Krandick S. Mulitza M. Schulz |
author_facet |
R. Völpel A. Paul A. Krandick S. Mulitza M. Schulz |
author_sort |
R. Völpel |
title |
Stable water isotopes in the MITgcm |
title_short |
Stable water isotopes in the MITgcm |
title_full |
Stable water isotopes in the MITgcm |
title_fullStr |
Stable water isotopes in the MITgcm |
title_full_unstemmed |
Stable water isotopes in the MITgcm |
title_sort |
stable water isotopes in the mitgcm |
publisher |
Copernicus Publications |
publishDate |
2017 |
url |
https://doi.org/10.5194/gmd-10-3125-2017 https://doaj.org/article/70b4644c16454ff19be2bcac5a34352b |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Foraminifera* |
genre_facet |
Arctic Arctic Ocean Foraminifera* |
op_source |
Geoscientific Model Development, Vol 10, Pp 3125-3144 (2017) |
op_relation |
https://www.geosci-model-dev.net/10/3125/2017/gmd-10-3125-2017.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-10-3125-2017 1991-959X 1991-9603 https://doaj.org/article/70b4644c16454ff19be2bcac5a34352b |
op_doi |
https://doi.org/10.5194/gmd-10-3125-2017 |
container_title |
Geoscientific Model Development |
container_volume |
10 |
container_issue |
8 |
container_start_page |
3125 |
op_container_end_page |
3144 |
_version_ |
1766340937908224000 |