Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation
High-resolution regional hindcasting of ocean and sea ice plays an important role in the assessment of shipping and operational risks in the Arctic Ocean. The ice–ocean model NEMO-LIM3 was modified to improve its simulation quality for appropriate spatio-temporal resolutions. A multigrid model setup...
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ftpubman:oai:pure.mpg.de:item_3155023 2023-08-27T04:07:20+02:00 Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation Hvatov, A. Nikitin, N. Kalyuzhnaya, A. Kosukhin, S. 2019-09 application/pdf http://hdl.handle.net/21.11116/0000-0004-845D-F http://hdl.handle.net/21.11116/0000-0004-B873-B eng eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2019.101427 http://hdl.handle.net/21.11116/0000-0004-845D-F http://hdl.handle.net/21.11116/0000-0004-B873-B Ocean Modelling info:eu-repo/semantics/article 2019 ftpubman https://doi.org/10.1016/j.ocemod.2019.101427 2023-08-02T00:03:28Z High-resolution regional hindcasting of ocean and sea ice plays an important role in the assessment of shipping and operational risks in the Arctic Ocean. The ice–ocean model NEMO-LIM3 was modified to improve its simulation quality for appropriate spatio-temporal resolutions. A multigrid model setup with connected coarse- (14 km) and fine-resolution (5 km) model configurations was devised. These two configurations were implemented and run separately. The resulting computational cost was lower when compared to that of the built-in AGRIF nesting system. Ice and tracer boundary-condition schemes were modified to achieve the correct interaction between coarse- and fine grids through a long ice-covered open boundary. An ice-restoring scheme was implemented to reduce spin-up time. The NEMO-LIM3 configuration described in this article provides more flexible and customisable tools for high-resolution regional Arctic simulations. © 2019 Elsevier Ltd Article in Journal/Newspaper Arctic Arctic Ocean Sea ice Max Planck Society: MPG.PuRe Arctic Arctic Ocean Ocean Modelling 141 101427 |
institution |
Open Polar |
collection |
Max Planck Society: MPG.PuRe |
op_collection_id |
ftpubman |
language |
English |
description |
High-resolution regional hindcasting of ocean and sea ice plays an important role in the assessment of shipping and operational risks in the Arctic Ocean. The ice–ocean model NEMO-LIM3 was modified to improve its simulation quality for appropriate spatio-temporal resolutions. A multigrid model setup with connected coarse- (14 km) and fine-resolution (5 km) model configurations was devised. These two configurations were implemented and run separately. The resulting computational cost was lower when compared to that of the built-in AGRIF nesting system. Ice and tracer boundary-condition schemes were modified to achieve the correct interaction between coarse- and fine grids through a long ice-covered open boundary. An ice-restoring scheme was implemented to reduce spin-up time. The NEMO-LIM3 configuration described in this article provides more flexible and customisable tools for high-resolution regional Arctic simulations. © 2019 Elsevier Ltd |
format |
Article in Journal/Newspaper |
author |
Hvatov, A. Nikitin, N. Kalyuzhnaya, A. Kosukhin, S. |
spellingShingle |
Hvatov, A. Nikitin, N. Kalyuzhnaya, A. Kosukhin, S. Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation |
author_facet |
Hvatov, A. Nikitin, N. Kalyuzhnaya, A. Kosukhin, S. |
author_sort |
Hvatov, A. |
title |
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation |
title_short |
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation |
title_full |
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation |
title_fullStr |
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation |
title_full_unstemmed |
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation |
title_sort |
adaptation of nemo-lim3 model for multigrid high resolution arctic simulation |
publishDate |
2019 |
url |
http://hdl.handle.net/21.11116/0000-0004-845D-F http://hdl.handle.net/21.11116/0000-0004-B873-B |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Ocean Sea ice |
op_source |
Ocean Modelling |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2019.101427 http://hdl.handle.net/21.11116/0000-0004-845D-F http://hdl.handle.net/21.11116/0000-0004-B873-B |
op_doi |
https://doi.org/10.1016/j.ocemod.2019.101427 |
container_title |
Ocean Modelling |
container_volume |
141 |
container_start_page |
101427 |
_version_ |
1775348113927569408 |