The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis
Canada has the longest coastline in the world and includes diverse ocean environments, from the frozen waters of the Canadian Arctic Archipelago to the confluence region of Labrador and Gulf Stream waters on the east coast. There is a strong need for a pan-Canadian operational regional ocean predict...
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2021
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Online Access: | https://doi.org/10.5194/gmd-14-1445-2021 https://doaj.org/article/73f2d1e4f6d0423ca4fcd3420ff97688 |
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ftdoajarticles:oai:doaj.org/article:73f2d1e4f6d0423ca4fcd3420ff97688 2023-05-15T14:28:58+02:00 The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis G. C. Smith Y. Liu M. Benkiran K. Chikhar D. Surcel Colan A.-A. Gauthier C.-E. Testut F. Dupont J. Lei F. Roy J.-F. Lemieux F. Davidson 2021-03-01T00:00:00Z https://doi.org/10.5194/gmd-14-1445-2021 https://doaj.org/article/73f2d1e4f6d0423ca4fcd3420ff97688 EN eng Copernicus Publications https://gmd.copernicus.org/articles/14/1445/2021/gmd-14-1445-2021.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-14-1445-2021 1991-959X 1991-9603 https://doaj.org/article/73f2d1e4f6d0423ca4fcd3420ff97688 Geoscientific Model Development, Vol 14, Pp 1445-1467 (2021) Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.5194/gmd-14-1445-2021 2022-12-31T05:49:10Z Canada has the longest coastline in the world and includes diverse ocean environments, from the frozen waters of the Canadian Arctic Archipelago to the confluence region of Labrador and Gulf Stream waters on the east coast. There is a strong need for a pan-Canadian operational regional ocean prediction capacity covering all Canadian coastal areas in support of marine activities including emergency response, search and rescue, and safe navigation in ice-infested waters. Here we present the first pan-Canadian operational regional ocean analysis system developed as part of the Regional Ice Ocean Prediction System version 2 (RIOPSv2) running in operations at the Canadian Centre for Meteorological and Environmental Prediction (CCMEP). The RIOPSv2 domain extends from 26 ∘ N in the Atlantic Ocean through the Arctic Ocean to 44 ∘ N in the Pacific Ocean, with a model grid resolution that varies between 3 and 8 km. RIOPSv2 includes a multivariate data assimilation system based on a reduced-order extended Kalman filter together with a 3D-Var bias correction system for water mass properties. The analysis system assimilates satellite observations of sea level anomaly and sea surface temperature, as well as in situ temperature and salinity measurements. Background model error is specified in terms of seasonally varying model anomalies from a 10-year forced model integration, allowing inhomogeneous anisotropic multivariate error covariances. A novel online tidal harmonic analysis method is introduced that uses a sliding-window approach to reduce numerical costs and allow for the time-varying harmonic constants necessary in seasonally ice-infested waters. Compared to the Global Ice Ocean Prediction System (GIOPS) running at CCMEP, RIOPSv2 also includes a spatial filtering of model fields as part of the observation operator for sea surface temperature (SST). In addition to the tidal harmonic analysis, the observation operator for sea level anomaly (SLA) is also modified to remove the inverse barometer effect due to the ... Article in Journal/Newspaper Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Canadian Arctic Archipelago Canada Pacific Geoscientific Model Development 14 3 1445 1467 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 G. C. Smith Y. Liu M. Benkiran K. Chikhar D. Surcel Colan A.-A. Gauthier C.-E. Testut F. Dupont J. Lei F. Roy J.-F. Lemieux F. Davidson The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis |
topic_facet |
Geology QE1-996.5 |
description |
Canada has the longest coastline in the world and includes diverse ocean environments, from the frozen waters of the Canadian Arctic Archipelago to the confluence region of Labrador and Gulf Stream waters on the east coast. There is a strong need for a pan-Canadian operational regional ocean prediction capacity covering all Canadian coastal areas in support of marine activities including emergency response, search and rescue, and safe navigation in ice-infested waters. Here we present the first pan-Canadian operational regional ocean analysis system developed as part of the Regional Ice Ocean Prediction System version 2 (RIOPSv2) running in operations at the Canadian Centre for Meteorological and Environmental Prediction (CCMEP). The RIOPSv2 domain extends from 26 ∘ N in the Atlantic Ocean through the Arctic Ocean to 44 ∘ N in the Pacific Ocean, with a model grid resolution that varies between 3 and 8 km. RIOPSv2 includes a multivariate data assimilation system based on a reduced-order extended Kalman filter together with a 3D-Var bias correction system for water mass properties. The analysis system assimilates satellite observations of sea level anomaly and sea surface temperature, as well as in situ temperature and salinity measurements. Background model error is specified in terms of seasonally varying model anomalies from a 10-year forced model integration, allowing inhomogeneous anisotropic multivariate error covariances. A novel online tidal harmonic analysis method is introduced that uses a sliding-window approach to reduce numerical costs and allow for the time-varying harmonic constants necessary in seasonally ice-infested waters. Compared to the Global Ice Ocean Prediction System (GIOPS) running at CCMEP, RIOPSv2 also includes a spatial filtering of model fields as part of the observation operator for sea surface temperature (SST). In addition to the tidal harmonic analysis, the observation operator for sea level anomaly (SLA) is also modified to remove the inverse barometer effect due to the ... |
format |
Article in Journal/Newspaper |
author |
G. C. Smith Y. Liu M. Benkiran K. Chikhar D. Surcel Colan A.-A. Gauthier C.-E. Testut F. Dupont J. Lei F. Roy J.-F. Lemieux F. Davidson |
author_facet |
G. C. Smith Y. Liu M. Benkiran K. Chikhar D. Surcel Colan A.-A. Gauthier C.-E. Testut F. Dupont J. Lei F. Roy J.-F. Lemieux F. Davidson |
author_sort |
G. C. Smith |
title |
The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis |
title_short |
The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis |
title_full |
The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis |
title_fullStr |
The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis |
title_full_unstemmed |
The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis |
title_sort |
regional ice ocean prediction system v2: a pan-canadian ocean analysis system using an online tidal harmonic analysis |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/gmd-14-1445-2021 https://doaj.org/article/73f2d1e4f6d0423ca4fcd3420ff97688 |
geographic |
Arctic Arctic Ocean Canadian Arctic Archipelago Canada Pacific |
geographic_facet |
Arctic Arctic Ocean Canadian Arctic Archipelago Canada Pacific |
genre |
Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago |
genre_facet |
Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago |
op_source |
Geoscientific Model Development, Vol 14, Pp 1445-1467 (2021) |
op_relation |
https://gmd.copernicus.org/articles/14/1445/2021/gmd-14-1445-2021.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-14-1445-2021 1991-959X 1991-9603 https://doaj.org/article/73f2d1e4f6d0423ca4fcd3420ff97688 |
op_doi |
https://doi.org/10.5194/gmd-14-1445-2021 |
container_title |
Geoscientific Model Development |
container_volume |
14 |
container_issue |
3 |
container_start_page |
1445 |
op_container_end_page |
1467 |
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1766303085038141440 |