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Axell, Lars
Publications (10 of 21) Show all publications
Amir-Heidari, P., Arneborg, L., Lindgren, J. F., Lindhe, A., Rosen, L., Raie, M., . . . Hassellov, I.-M. (2019). A state-of-the-art model for spatial and stochastic oil spill risk assessment: A case study of oil spill from a shipwreck. Environment International, 126, 309-320
Open this publication in new window or tab >>A state-of-the-art model for spatial and stochastic oil spill risk assessment: A case study of oil spill from a shipwreck
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2019 (English)In: Environment International, ISSN 0160-4120, E-ISSN 1873-6750, Vol. 126, p. 309-320Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-5188 (URN)10.1016/j.envint.2019.02.037 (DOI)000462597500037 ()30825750 (PubMedID)
Available from: 2019-04-16 Created: 2019-04-16 Last updated: 2019-04-16Bibliographically approved
Nilsson, E., Rutgersson, A., Dingwell, A., Bjorkqvist, J.-V., Pettersson, H., Axell, L., . . . Stromstedt, E. (2019). Characterization of Wave Energy Potential for the Baltic Sea with Focus on the Swedish Exclusive Economic Zone. Energies, 12(5), Article ID 793.
Open this publication in new window or tab >>Characterization of Wave Energy Potential for the Baltic Sea with Focus on the Swedish Exclusive Economic Zone
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2019 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 12, no 5, article id 793Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-5191 (URN)10.3390/en12050793 (DOI)000462646700026 ()
Available from: 2019-04-16 Created: 2019-04-16 Last updated: 2019-04-16Bibliographically approved
Hordoir, R., Axell, L., Höglund, A., Dieterich, C., Fransner, F., Groger, M., . . . Haapala, J. (2019). Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas - research and operational applications. Geoscientific Model Development, 12(1), 363-386
Open this publication in new window or tab >>Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas - research and operational applications
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2019 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 12, no 1, p. 363-386Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Identifiers
urn:nbn:se:smhi:diva-5159 (URN)10.5194/gmd-12-363-2019 (DOI)000456302000003 ()
Available from: 2019-02-05 Created: 2019-02-05 Last updated: 2019-02-05Bibliographically approved
Dieterich, C., Wang, S., Schimanke, S., Groger, M., Klein, B., Hordoir, R., . . . Meier, M. (2019). Surface Heat Budget over the North Sea in Climate Change Simulations. Atmosphere, 10(5), Article ID 272.
Open this publication in new window or tab >>Surface Heat Budget over the North Sea in Climate Change Simulations
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2019 (English)In: Atmosphere, ISSN 2073-4433, E-ISSN 2073-4433, Vol. 10, no 5, article id 272Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-5253 (URN)10.3390/atmos10050272 (DOI)000472677600046 ()
Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2019-07-29Bibliographically approved
Arneborg, L., Höglund, A., Axell, L., Lensu, M., Ljungman, O. & Mattsson, J. (2017). Oil drift modeling in pack ice - Sensitivity to oil-in-ice parameters. Ocean Engineering, 144, 340-350
Open this publication in new window or tab >>Oil drift modeling in pack ice - Sensitivity to oil-in-ice parameters
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2017 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 144, p. 340-350Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-4440 (URN)10.1016/j.oceaneng.2017.09.041 (DOI)000415392300028 ()
Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2018-01-13Bibliographically approved
Pemberton, P., Löptien, U., Hordoir, R., Höglund, A., Schimanke, S., Axell, L. & Haapala, J. (2017). Sea-ice evaluation of NEMO-Nordic 1.0: a NEMO-LIM3.6-based ocean-sea-ice model setup for the North Sea and Baltic Sea. Geoscientific Model Development, 10(8), 3105-3123
Open this publication in new window or tab >>Sea-ice evaluation of NEMO-Nordic 1.0: a NEMO-LIM3.6-based ocean-sea-ice model setup for the North Sea and Baltic Sea
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2017 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 10, no 8, p. 3105-3123Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-4289 (URN)10.5194/gmd-10-3105-2017 (DOI)000408100200001 ()
Available from: 2017-09-06 Created: 2017-09-06 Last updated: 2018-01-13Bibliographically approved
von Schuckmann, K., Le Traon, P.-Y., Alvarez-Fanjul, E., Axell, L., Balmaseda, M., Breivik, L.-A., . . . Verbrugge, N. (2017). The Copernicus Marine Environment Monitoring Service Ocean State Report. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology, 9(Sup.2), 235-320
Open this publication in new window or tab >>The Copernicus Marine Environment Monitoring Service Ocean State Report
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2017 (English)In: Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology, ISSN 1755-876X, E-ISSN 1755-8778, Vol. 9, no Sup.2, p. 235-320Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Institute of Marine Engineering, Science and Technology, 2017
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-4052 (URN)10.1080/1755876X.2016.1273446 (DOI)
Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2018-01-13Bibliographically approved
Axell, L. & Liu, Y. (2016). Application of 3-D ensemble variational data assimilation to a Baltic Sea reanalysis 1989-2013. Tellus. Series A, Dynamic meteorology and oceanography, 68, Article ID 24220.
Open this publication in new window or tab >>Application of 3-D ensemble variational data assimilation to a Baltic Sea reanalysis 1989-2013
2016 (English)In: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 68, article id 24220Article in journal (Refereed) Published
Abstract [en]

A 3-D ensemble variational (3DEnVar) data assimilation method has been implemented and tested for oceanographic data assimilation of sea surface temperature (SST), sea surface salinity (SSS), sea ice concentration (SIC), and salinity and temperature profiles. To damp spurious long-range correlations in the ensemble statistics, horizontal and vertical localisation was implemented using empirical orthogonal functions. The results show that the 3DEnVar method is indeed possible to use in oceanographic data assimilation. So far, only a seasonally dependent ensemble has been used, based on historical model simulations. Near-surface experiments showed that the ensemble statistics gave inhomogeneous and anisotropic horizontal structure functions, and assimilation of real SST and SIC fields gave smooth, realistic increment fields. The implementation was multivariate, and results showed that the cross-correlations between variables work in an intuitive way, for example, decreasing SST where SIC was increased and vice versa. The profile data assimilation also gave good results. The results from a 25-year reanalysis showed that the vertical salinity and temperature structure were significantly improved, compared to both dependent and independent data.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-2031 (URN)10.3402/tellusa.v68.24220 (DOI)000372203600001 ()
Available from: 2016-05-03 Created: 2016-05-02 Last updated: 2018-01-10Bibliographically approved
Kuznetsov, I., Eilola, K., Dieterich, C., Hordoir, R., Axell, L., Höglund, A. & Schimanke, S. (2016). Model study on the variability of ecosystem parameters in the Skagerrak-Kattegat area, effect of load reduction in the North Sea and possible effect of BSAP on Skagerrak-Kattegat area.
Open this publication in new window or tab >>Model study on the variability of ecosystem parameters in the Skagerrak-Kattegat area, effect of load reduction in the North Sea and possible effect of BSAP on Skagerrak-Kattegat area
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2016 (English)Report (Other academic)
Abstract [en]

Newly developed ecosystem model NEMO-Nordic-SCOBI was applied to Skagerrak - Kattegat area to investigate the variability of some indicators of the ecosystem. Also, two sensitivity runs were performed to investigate possible effect of the Baltic Sea Action Plan (BSAP) and a river loads reduction scenario on the Skagerrak - Kattegat area. The performed investigation could be used “to provide a basis to assist with the interpretation of measurement data before the Intermediate Assessments Eutrophication status assessment”. Comparison of simulation results with observations indicates acceptable model performance. Modeled sea surface salinity, temperature and dissolved inorganic phosphate (DIP) are in good agreement with observations. At the same time, the model has a bias in certain areas of the investigated region for dissolved inorganic nitrogen (DIN) and dissolved silicate during the winter season. However, the model in its current state shows good enough results for the performed investigation. Results of the two sensitivity studies show a decrease of sea surface nutrients concentrations during winter period in both regions. In the Skagerrak area the decrease is due to reduction in river nutrient loads in North Sea. In the Kattegat area there is a decrease of dissolved phosphate due to the implementation of BSAP. At the same time, in both scenarios, no significant changes were obtained for near bottom oxygen or surface layer Chl-a.

Abstract [sv]

Den nyligen utvecklade ekosystemmodellen NEMO-Nordic-SCOBI användes för att studera variabiliteten av några indikatorer för ekosystemet i Skagerrak- kattegatt området. Även två känslighetsstudier gjordes för att undersöka möjliga effekter av Baltic Sea Action Plan (BSAP) och en reduktion scenario av närsaltstillförsel på Skagerrak-Kattegatt området. Den utförda studien kan användas som underlag och stöd vid tolkningen av observationsdata inför utvärderingen ”Intermediate Assessments Eutrophication status assessment”. Jämförelsen mellan modelldata och observationer indikerar att modellens resultat är acceptabla. Modellerade ytvärden av salthalt, temperatur och löst fosfat (DIP) visar god överenskommelse med observerade värden. Samtidigt har modellresultaten avvikelser i vissa delområden vad gäller löst oorganiskt kväve (DIN) och löst kisel under vitertid. Dock visar modellen i sitt nuvarande tillstånd tillräckligt goda resultat för den aktuella studien. Resultaten från de två känslighetsstudierna visar en minskning av näringskoncentrationer i ytan under vintern i båda havsområdena. I Skagerrak är minskningen orsakad av reducerad närsaltstillförsel i Nordsjön. I Kattegatt minskar lösta fosfatet på grund av genomförandet av BSAP. Ingen av scenarierna visade någon signifikant påverkan på syre vid havsbotten eller på ytkoncentratiner av Chl-a.

Publisher
p. 60
Series
Oceanography, ISSN 0283-7714 ; 119
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-2153 (URN)
Available from: 2016-05-11 Created: 2016-05-11 Last updated: 2018-01-10Bibliographically approved
Hordoir, R., Axell, L., Löptien, U., Dietze, H. & Kuznetsov, I. (2015). Influence of sea level rise on the dynamics of salt inflows in the Baltic Sea. Journal of Geophysical Research - Oceans, 120(10), 6653-6668
Open this publication in new window or tab >>Influence of sea level rise on the dynamics of salt inflows in the Baltic Sea
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2015 (English)In: Journal of Geophysical Research - Oceans, ISSN 2169-9275, E-ISSN 2169-9291, Vol. 120, no 10, p. 6653-6668Article in journal (Refereed) Published
Abstract [en]

The Baltic Sea is a marginal sea, located in a highly industrialized region in Central Northern Europe. Saltwater inflows from the North Sea and associated ventilation of the deep exert crucial control on the entire Baltic Sea ecosystem. This study explores the impact of anticipated sea level changes on the dynamics of those inflows. We use a numerical oceanic general circulation model covering both the Baltic and the North Sea. The model successfully retraces the essential ventilation dynamics throughout the period 1961-2007. A suite of idealized experiments suggests that rising sea level is associated with intensified ventilation as saltwater inflows become stronger, longer, and more frequent. Expressed quantitatively as a salinity increase in the deep central Baltic Sea, we find that a sea level rise of 1 m triggers a saltening of more than 1 PSU. This substantial increase in ventilation is the consequence of the increasing cross section in the Danish Straits amplified by a reduction of vertical mixing.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-1940 (URN)10.1002/2014JC010642 (DOI)000365539700004 ()
Available from: 2016-04-29 Created: 2016-03-03 Last updated: 2018-01-10Bibliographically approved
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