Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO

Here we present results from a long-term model simulation of the 3-D coupled ecosystem model ECOSMO II for a North Sea and Baltic Sea set-up. The model allows both multi-decadal hindcast simulation of the marine system and specific process studies under controlled environmental conditions. Model res...

Full description

Bibliographic Details
Published in:Earth System Dynamics
Main Authors: Daewel, Ute, Schrum, Corinna
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/esd-8-801-2017
https://esd.copernicus.org/articles/8/801/2017/
id ftcopernicus:oai:publications.copernicus.org:esd58256
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:esd58256 2023-05-15T17:35:29+02:00 Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO Daewel, Ute Schrum, Corinna 2018-09-27 application/pdf https://doi.org/10.5194/esd-8-801-2017 https://esd.copernicus.org/articles/8/801/2017/ eng eng doi:10.5194/esd-8-801-2017 https://esd.copernicus.org/articles/8/801/2017/ eISSN: 2190-4987 Text 2018 ftcopernicus https://doi.org/10.5194/esd-8-801-2017 2020-07-20T16:23:37Z Here we present results from a long-term model simulation of the 3-D coupled ecosystem model ECOSMO II for a North Sea and Baltic Sea set-up. The model allows both multi-decadal hindcast simulation of the marine system and specific process studies under controlled environmental conditions. Model results have been analysed with respect to long-term multi-decadal variability in both physical and biological parameters with the help of empirical orthogonal function (EOF) analysis. The analysis of a 61-year (1948–2008) hindcast reveals a quasi-decadal variation in salinity, temperature and current fields in the North Sea in addition to singular events of major changes during restricted time frames. These changes in hydrodynamic variables were found to be associated with changes in ecosystem productivity that are temporally aligned with the timing of reported regime shifts in the areas. Our results clearly indicate that for analysing ecosystem productivity, spatially explicit methods are indispensable. Especially in the North Sea, a correlation analysis between atmospheric forcing and primary production (PP) reveals significant correlations between PP and the North Atlantic Oscillation (NAO) and wind forcing for the central part of the region, while the Atlantic Multi-decadal Oscillation (AMO) and air temperature are correlated to long-term changes in PP in the southern North Sea frontal areas. Since correlations cannot serve to identify causal relationship, we performed scenario model runs perturbing the temporal variability in forcing condition to emphasize specifically the role of solar radiation, wind and eutrophication. The results revealed that, although all parameters are relevant for the magnitude of PP in the North Sea and Baltic Sea, the dominant impact on long-term variability and major shifts in ecosystem productivity was introduced by modulations of the wind fields. Text North Atlantic North Atlantic oscillation Copernicus Publications: E-Journals Earth System Dynamics 8 3 801 815
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Here we present results from a long-term model simulation of the 3-D coupled ecosystem model ECOSMO II for a North Sea and Baltic Sea set-up. The model allows both multi-decadal hindcast simulation of the marine system and specific process studies under controlled environmental conditions. Model results have been analysed with respect to long-term multi-decadal variability in both physical and biological parameters with the help of empirical orthogonal function (EOF) analysis. The analysis of a 61-year (1948–2008) hindcast reveals a quasi-decadal variation in salinity, temperature and current fields in the North Sea in addition to singular events of major changes during restricted time frames. These changes in hydrodynamic variables were found to be associated with changes in ecosystem productivity that are temporally aligned with the timing of reported regime shifts in the areas. Our results clearly indicate that for analysing ecosystem productivity, spatially explicit methods are indispensable. Especially in the North Sea, a correlation analysis between atmospheric forcing and primary production (PP) reveals significant correlations between PP and the North Atlantic Oscillation (NAO) and wind forcing for the central part of the region, while the Atlantic Multi-decadal Oscillation (AMO) and air temperature are correlated to long-term changes in PP in the southern North Sea frontal areas. Since correlations cannot serve to identify causal relationship, we performed scenario model runs perturbing the temporal variability in forcing condition to emphasize specifically the role of solar radiation, wind and eutrophication. The results revealed that, although all parameters are relevant for the magnitude of PP in the North Sea and Baltic Sea, the dominant impact on long-term variability and major shifts in ecosystem productivity was introduced by modulations of the wind fields.
format Text
author Daewel, Ute
Schrum, Corinna
spellingShingle Daewel, Ute
Schrum, Corinna
Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO
author_facet Daewel, Ute
Schrum, Corinna
author_sort Daewel, Ute
title Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO
title_short Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO
title_full Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO
title_fullStr Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO
title_full_unstemmed Low-frequency variability in North Sea and Baltic Sea identified through simulations with the 3-D coupled physical–biogeochemical model ECOSMO
title_sort low-frequency variability in north sea and baltic sea identified through simulations with the 3-d coupled physical–biogeochemical model ecosmo
publishDate 2018
url https://doi.org/10.5194/esd-8-801-2017
https://esd.copernicus.org/articles/8/801/2017/
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source eISSN: 2190-4987
op_relation doi:10.5194/esd-8-801-2017
https://esd.copernicus.org/articles/8/801/2017/
op_doi https://doi.org/10.5194/esd-8-801-2017
container_title Earth System Dynamics
container_volume 8
container_issue 3
container_start_page 801
op_container_end_page 815
_version_ 1766134662617366528