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Hieronymus, Magnus
Publications (7 of 7) Show all publications
Hieronymus, M. (2019). An update on the thermosteric sea level rise commitment to global warming. Environmental Research Letters, 14(5), Article ID 054018.
Open this publication in new window or tab >>An update on the thermosteric sea level rise commitment to global warming
2019 (English)In: Environmental Research Letters, ISSN 1748-9326, E-ISSN 1748-9326, Vol. 14, no 5, article id 054018Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-5214 (URN)10.1088/1748-9326/ab1c31 (DOI)000468328300001 ()
Available from: 2019-06-12 Created: 2019-06-12 Last updated: 2019-06-12Bibliographically 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
Hieronymus, M., Nycander, J., Nilsson, J., Doos, K. & Hallberg, R. (2019). Oceanic Overturning and Heat Transport: The Role of Background Diffusivity. Journal of Climate, 32(3), 701-716
Open this publication in new window or tab >>Oceanic Overturning and Heat Transport: The Role of Background Diffusivity
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2019 (English)In: Journal of Climate, ISSN 0894-8755, E-ISSN 1520-0442, Vol. 32, no 3, p. 701-716Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-5147 (URN)10.1175/JCLI-D-18-0438.1 (DOI)000455005000002 ()
Available from: 2019-01-22 Created: 2019-01-22 Last updated: 2019-01-22Bibliographically approved
Hieronymus, M., Hieronymus, J. & Hieronymus, F. (2019). On the Application of Machine Learning Techniques to Regression Problems in Sea Level Studies. Journal of Atmospheric and Oceanic Technology, 36(9), 1889-1902
Open this publication in new window or tab >>On the Application of Machine Learning Techniques to Regression Problems in Sea Level Studies
2019 (English)In: Journal of Atmospheric and Oceanic Technology, ISSN 0739-0572, E-ISSN 1520-0426, Vol. 36, no 9, p. 1889-1902Article in journal (Refereed) Published
Abstract [en]

Long sea level records with high temporal resolution are of paramount importance for future coastal protection and adaptation plans. Here we discuss the application of machine learning techniques to some regression problems commonly encountered when analyzing such time series. The performance of artificial neural networks is compared with that of multiple linear regression models on sea level data from the Swedish coast. The neural networks are found to be superior when local sea level forcing is used together with remote sea level forcing and meteorological forcing, whereas the linear models and the neural networks show similar performance when local sea level forcing is excluded. The overall performance of the machine learning algorithms is good, often surpassing that of the much more computationally costly numerical ocean models used at our institute.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-5442 (URN)10.1175/JTECH-D-19-0033.1 (DOI)000486481100001 ()
Available from: 2019-10-14 Created: 2019-10-14 Last updated: 2019-10-14Bibliographically approved
Hieronymus, J., Eilola, K., Hieronymus, M., Meier, M., Saraiva, S. & Karlson, B. (2018). Causes of simulated long-term changes in phytoplankton biomass in the Baltic proper: a wavelet analysis. Biogeosciences, 15(16), 5113-5129
Open this publication in new window or tab >>Causes of simulated long-term changes in phytoplankton biomass in the Baltic proper: a wavelet analysis
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2018 (English)In: Biogeosciences, ISSN 1726-4170, E-ISSN 1726-4189, Vol. 15, no 16, p. 5113-5129Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-4957 (URN)10.5194/bg-15-5113-2018 (DOI)000442738300003 ()
Available from: 2018-09-05 Created: 2018-09-05 Last updated: 2018-09-05Bibliographically approved
Hieronymus, M., Dieterich, C., Andersson, H. & Hordoir, R. (2018). The effects of mean sea level rise and strengthened winds on extreme sea levels in the Baltic Sea. Theoretical and Applied Mechanics Letters, 8(6), 366-371
Open this publication in new window or tab >>The effects of mean sea level rise and strengthened winds on extreme sea levels in the Baltic Sea
2018 (English)In: Theoretical and Applied Mechanics Letters, ISSN 2095-0349, Vol. 8, no 6, p. 366-371Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-5161 (URN)10.1016/j.taml.2018.06.008 (DOI)000456384400002 ()
Available from: 2019-02-05 Created: 2019-02-05 Last updated: 2019-02-05Bibliographically approved
Hieronymus, M., Hieronymus, J. & Arneborg, L. (2017). Sea level modelling in the Baltic and the North Sea: The respective role of different parts of the forcing. Ocean Modelling, 118, 59-72
Open this publication in new window or tab >>Sea level modelling in the Baltic and the North Sea: The respective role of different parts of the forcing
2017 (English)In: Ocean Modelling, ISSN 1463-5003, E-ISSN 1463-5011, Vol. 118, p. 59-72Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
urn:nbn:se:smhi:diva-4315 (URN)10.1016/j.ocemod.2017.08.007 (DOI)000411466900005 ()
Available from: 2017-11-13 Created: 2017-11-13 Last updated: 2018-01-13Bibliographically approved
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