Development of adjoint-based ocean state estimation for the Amundsen and Bellingshausen seas and ice shelf cavities using MITgcm-ECCO (66j)
The Antarctic coastal ocean impacts sea level rise, deep-ocean circulation, marine ecosystems, and the global carbon cycle. To better describe and understand these processes and their variability, it is necessary to combine the sparse available observations with the best-possible numerical descripti...
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fthokunivhus:oai:eprints.lib.hokudai.ac.jp:2115/82662 2023-05-15T13:24:16+02:00 Development of adjoint-based ocean state estimation for the Amundsen and Bellingshausen seas and ice shelf cavities using MITgcm-ECCO (66j) Nakayama, Yoshihiro Menemenlis, Dimitris Wang, Ou Zhang, Hong Fenty, Ian Nguyen, An T. http://hdl.handle.net/2115/82662 https://doi.org/10.5194/gmd-14-4909-2021 eng eng Copernicus Publications http://hdl.handle.net/2115/82662 Geoscientific model development, 14(8): 4909-4924 http://dx.doi.org/10.5194/gmd-14-4909-2021 450 article fthokunivhus https://doi.org/10.5194/gmd-14-4909-2021 2022-11-18T01:06:36Z The Antarctic coastal ocean impacts sea level rise, deep-ocean circulation, marine ecosystems, and the global carbon cycle. To better describe and understand these processes and their variability, it is necessary to combine the sparse available observations with the best-possible numerical descriptions of ocean circulation. In particular, high ice shelf melting rates in the Amundsen Sea have attracted many observational campaigns, and we now have some limited oceanographic data that capture seasonal and interannual variability during the past decade. One method to combine observations with numerical models that can maximize the information extracted from the sparse observations is the adjoint method, a.k.a. 4D-Var (4-dimensional variational assimilation), as developed and implemented for global ocean state estimation by the Estimating the Circulation and Climate of the Ocean (ECCO) project. Here, for the first time, we apply the adjoint-model estimation method to a regional configuration of the Amundsen and Bellings-shausen seas, Antarctica, including explicit representation of sub-ice-shelf cavities. We utilize observations available during 2010-2014, including ship-based and seal-tagged CTD measurements, moorings, and satellite sea-ice concentration estimates. After 20 iterations of the adjoint-method minimization algorithm, the cost function, here defined as a sum of the weighted model-data difference, is reduced by 65% relative to the baseline simulation by adjusting initial conditions, atmospheric forcing, and vertical diffusivity. The seaice and ocean components of the cost function are reduced by 59% and 70 %, respectively. Major improvements include better representations of (1) WinterWater (WW) characteristics and (2) intrusions of modified Circumpolar Deep Water (mCDW) towards the Pine Island Glacier. Sensitivity experiments show that similar to 40% and similar to 10% of improvements in sea ice and ocean state, respectively, can be attributed to the adjustment of air temperature and wind. This study is ... Article in Journal/Newspaper Amundsen Sea Antarc* Antarctic Antarctica Ice Shelf Pine Island Pine Island Glacier Sea ice Hokkaido University Collection of Scholarly and Academic Papers (HUSCAP) Antarctic The Antarctic Amundsen Sea Pine Island Glacier ENVELOPE(-101.000,-101.000,-75.000,-75.000) Geoscientific Model Development 14 8 4909 4924 |
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Open Polar |
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Hokkaido University Collection of Scholarly and Academic Papers (HUSCAP) |
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fthokunivhus |
language |
English |
topic |
450 |
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450 Nakayama, Yoshihiro Menemenlis, Dimitris Wang, Ou Zhang, Hong Fenty, Ian Nguyen, An T. Development of adjoint-based ocean state estimation for the Amundsen and Bellingshausen seas and ice shelf cavities using MITgcm-ECCO (66j) |
topic_facet |
450 |
description |
The Antarctic coastal ocean impacts sea level rise, deep-ocean circulation, marine ecosystems, and the global carbon cycle. To better describe and understand these processes and their variability, it is necessary to combine the sparse available observations with the best-possible numerical descriptions of ocean circulation. In particular, high ice shelf melting rates in the Amundsen Sea have attracted many observational campaigns, and we now have some limited oceanographic data that capture seasonal and interannual variability during the past decade. One method to combine observations with numerical models that can maximize the information extracted from the sparse observations is the adjoint method, a.k.a. 4D-Var (4-dimensional variational assimilation), as developed and implemented for global ocean state estimation by the Estimating the Circulation and Climate of the Ocean (ECCO) project. Here, for the first time, we apply the adjoint-model estimation method to a regional configuration of the Amundsen and Bellings-shausen seas, Antarctica, including explicit representation of sub-ice-shelf cavities. We utilize observations available during 2010-2014, including ship-based and seal-tagged CTD measurements, moorings, and satellite sea-ice concentration estimates. After 20 iterations of the adjoint-method minimization algorithm, the cost function, here defined as a sum of the weighted model-data difference, is reduced by 65% relative to the baseline simulation by adjusting initial conditions, atmospheric forcing, and vertical diffusivity. The seaice and ocean components of the cost function are reduced by 59% and 70 %, respectively. Major improvements include better representations of (1) WinterWater (WW) characteristics and (2) intrusions of modified Circumpolar Deep Water (mCDW) towards the Pine Island Glacier. Sensitivity experiments show that similar to 40% and similar to 10% of improvements in sea ice and ocean state, respectively, can be attributed to the adjustment of air temperature and wind. This study is ... |
format |
Article in Journal/Newspaper |
author |
Nakayama, Yoshihiro Menemenlis, Dimitris Wang, Ou Zhang, Hong Fenty, Ian Nguyen, An T. |
author_facet |
Nakayama, Yoshihiro Menemenlis, Dimitris Wang, Ou Zhang, Hong Fenty, Ian Nguyen, An T. |
author_sort |
Nakayama, Yoshihiro |
title |
Development of adjoint-based ocean state estimation for the Amundsen and Bellingshausen seas and ice shelf cavities using MITgcm-ECCO (66j) |
title_short |
Development of adjoint-based ocean state estimation for the Amundsen and Bellingshausen seas and ice shelf cavities using MITgcm-ECCO (66j) |
title_full |
Development of adjoint-based ocean state estimation for the Amundsen and Bellingshausen seas and ice shelf cavities using MITgcm-ECCO (66j) |
title_fullStr |
Development of adjoint-based ocean state estimation for the Amundsen and Bellingshausen seas and ice shelf cavities using MITgcm-ECCO (66j) |
title_full_unstemmed |
Development of adjoint-based ocean state estimation for the Amundsen and Bellingshausen seas and ice shelf cavities using MITgcm-ECCO (66j) |
title_sort |
development of adjoint-based ocean state estimation for the amundsen and bellingshausen seas and ice shelf cavities using mitgcm-ecco (66j) |
publisher |
Copernicus Publications |
url |
http://hdl.handle.net/2115/82662 https://doi.org/10.5194/gmd-14-4909-2021 |
long_lat |
ENVELOPE(-101.000,-101.000,-75.000,-75.000) |
geographic |
Antarctic The Antarctic Amundsen Sea Pine Island Glacier |
geographic_facet |
Antarctic The Antarctic Amundsen Sea Pine Island Glacier |
genre |
Amundsen Sea Antarc* Antarctic Antarctica Ice Shelf Pine Island Pine Island Glacier Sea ice |
genre_facet |
Amundsen Sea Antarc* Antarctic Antarctica Ice Shelf Pine Island Pine Island Glacier Sea ice |
op_relation |
http://hdl.handle.net/2115/82662 Geoscientific model development, 14(8): 4909-4924 http://dx.doi.org/10.5194/gmd-14-4909-2021 |
op_doi |
https://doi.org/10.5194/gmd-14-4909-2021 |
container_title |
Geoscientific Model Development |
container_volume |
14 |
container_issue |
8 |
container_start_page |
4909 |
op_container_end_page |
4924 |
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1766378385363173376 |