Numerical models and long term monitoring - How can numerical models be used to support in situ sampling and survey design for long term hydrographic monitoring in standard sections?

As a part of regular monitoring of the marine environment, IMR conducts 10 fixed transects on a multiannual basis during which hydrographical, chemical and plankton data are collected at the same positions several times a year. The transect data sets, which in some cases span up to seven decades, ha...

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Main Authors: Cannaby, Heather Anne, Albretsen, Jon, Ingvaldsen, Randi Brunvær, Lien, Vidar Surén, Mork, Kjell Arne
Format: Report
Language:English
Published: Havforskningsinstituttet 2024
Subjects:
Online Access:https://hdl.handle.net/11250/3131665
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spelling ftimr:oai:imr.brage.unit.no:11250/3131665 2024-06-23T07:50:51+00:00 Numerical models and long term monitoring - How can numerical models be used to support in situ sampling and survey design for long term hydrographic monitoring in standard sections? Cannaby, Heather Anne Albretsen, Jon Ingvaldsen, Randi Brunvær Lien, Vidar Surén Mork, Kjell Arne 2024 application/pdf https://hdl.handle.net/11250/3131665 eng eng Havforskningsinstituttet Rapport fra havforskningen Rapport fra havforskningen;2024 - 18 https://www.hi.no/hi/nettrapporter/rapport-fra-havforskningen-en-2024-18 Havforskningsinstituttet: 15977-06 https://hdl.handle.net/11250/3131665 cristin:2271087 48 2024 - 18 Research report 2024 ftimr 2024-06-04T14:23:36Z As a part of regular monitoring of the marine environment, IMR conducts 10 fixed transects on a multiannual basis during which hydrographical, chemical and plankton data are collected at the same positions several times a year. The transect data sets, which in some cases span up to seven decades, have been vital to the understanding of long-term variability and trends in environmental and climate conditions. As an alternative approach to assemble physical data, numerical circulation models are widely used. There is a large variety of model data archives available, both internally at the IMR and from publicly open data portals, but it is difficult to consider the precision of the different models as they have different properties, resolution, coverage area etc. This report assesses how well existing model products developed and/or intensively used by the Oceanography and Climate Research Group can be utilised to assess and support the shipboard monitoring on the transects. Main focus is on TOPAZ, which is the only fully operational model with a model domain covering all the transects considered here. The results show that TOPAZ reproduces interannual variability and multiannual trends well. However, temperature, salinity and current velocity values, as well as seasonal variability and extreme conditions are less well represented. The operational (internal) Norkyst model show the best skill reproducing current velocities, but do not cover all transects. Using TOPAZ to assess how well the present sampling strategy captures the spatial variability in hydrographic variables suggests that the current sampling strategy is well designed in terms of the horizontal spacing of the fixed transects, although the sections in the northern Norwegian Sea and southern Barents Sea show a significant co-variability of Atlantic Water towards the Arctic Ocean. Assessing the impact of sampling frequency on long-term monitoring efforts in one of the transects, suggests a minimum sampling frequency of 3-4 transects per year to prevent ... Report Arctic Arctic Ocean Barents Sea Norwegian Sea Institute for Marine Research: Brage IMR Arctic Arctic Ocean Barents Sea Norwegian Sea
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id ftimr
language English
description As a part of regular monitoring of the marine environment, IMR conducts 10 fixed transects on a multiannual basis during which hydrographical, chemical and plankton data are collected at the same positions several times a year. The transect data sets, which in some cases span up to seven decades, have been vital to the understanding of long-term variability and trends in environmental and climate conditions. As an alternative approach to assemble physical data, numerical circulation models are widely used. There is a large variety of model data archives available, both internally at the IMR and from publicly open data portals, but it is difficult to consider the precision of the different models as they have different properties, resolution, coverage area etc. This report assesses how well existing model products developed and/or intensively used by the Oceanography and Climate Research Group can be utilised to assess and support the shipboard monitoring on the transects. Main focus is on TOPAZ, which is the only fully operational model with a model domain covering all the transects considered here. The results show that TOPAZ reproduces interannual variability and multiannual trends well. However, temperature, salinity and current velocity values, as well as seasonal variability and extreme conditions are less well represented. The operational (internal) Norkyst model show the best skill reproducing current velocities, but do not cover all transects. Using TOPAZ to assess how well the present sampling strategy captures the spatial variability in hydrographic variables suggests that the current sampling strategy is well designed in terms of the horizontal spacing of the fixed transects, although the sections in the northern Norwegian Sea and southern Barents Sea show a significant co-variability of Atlantic Water towards the Arctic Ocean. Assessing the impact of sampling frequency on long-term monitoring efforts in one of the transects, suggests a minimum sampling frequency of 3-4 transects per year to prevent ...
format Report
author Cannaby, Heather Anne
Albretsen, Jon
Ingvaldsen, Randi Brunvær
Lien, Vidar Surén
Mork, Kjell Arne
spellingShingle Cannaby, Heather Anne
Albretsen, Jon
Ingvaldsen, Randi Brunvær
Lien, Vidar Surén
Mork, Kjell Arne
Numerical models and long term monitoring - How can numerical models be used to support in situ sampling and survey design for long term hydrographic monitoring in standard sections?
author_facet Cannaby, Heather Anne
Albretsen, Jon
Ingvaldsen, Randi Brunvær
Lien, Vidar Surén
Mork, Kjell Arne
author_sort Cannaby, Heather Anne
title Numerical models and long term monitoring - How can numerical models be used to support in situ sampling and survey design for long term hydrographic monitoring in standard sections?
title_short Numerical models and long term monitoring - How can numerical models be used to support in situ sampling and survey design for long term hydrographic monitoring in standard sections?
title_full Numerical models and long term monitoring - How can numerical models be used to support in situ sampling and survey design for long term hydrographic monitoring in standard sections?
title_fullStr Numerical models and long term monitoring - How can numerical models be used to support in situ sampling and survey design for long term hydrographic monitoring in standard sections?
title_full_unstemmed Numerical models and long term monitoring - How can numerical models be used to support in situ sampling and survey design for long term hydrographic monitoring in standard sections?
title_sort numerical models and long term monitoring - how can numerical models be used to support in situ sampling and survey design for long term hydrographic monitoring in standard sections?
publisher Havforskningsinstituttet
publishDate 2024
url https://hdl.handle.net/11250/3131665
geographic Arctic
Arctic Ocean
Barents Sea
Norwegian Sea
geographic_facet Arctic
Arctic Ocean
Barents Sea
Norwegian Sea
genre Arctic
Arctic Ocean
Barents Sea
Norwegian Sea
genre_facet Arctic
Arctic Ocean
Barents Sea
Norwegian Sea
op_source 48
2024 - 18
op_relation Rapport fra havforskningen
Rapport fra havforskningen;2024 - 18
https://www.hi.no/hi/nettrapporter/rapport-fra-havforskningen-en-2024-18
Havforskningsinstituttet: 15977-06
https://hdl.handle.net/11250/3131665
cristin:2271087
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