The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21070933

Guarneri, Henrique; Verlaan, M. (Martin); D. C. (Cornelis) Slobbe; Zijl, Firmijn; Klees, R. (Roland) et. al. (2022): Tide-surge, tide and surge simulations output of 2D DCSM-FM v7 from 1980 to 2020 at Euro platform. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21070933.v1

Dataset

• Oceanography

Dutch Continental Shelf Model v7, Europlatform, North Sea, tide-surge interaction, Tides, Water Level

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1980-2020

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Henrique Guarneri , M. (Martin) Verlaan , D. C. (Cornelis) Slobbe , Firmijn Zijl , R. (Roland) Klees , J.D. (Julie) Pietrzak , M. (Mirjam) Snellen , Lennart Keyzer , Yosra Afrasteh

This dataset includes results of hydrodynamic simulations for Euro platform, an offshore structure located in the southern North Sea that serves as a beacon for shipping and a measurement platform for the location.

The results were generated with the 2D Dutch Continental Shelf Model - Flexible Mesh (DCSM, [Zijl and Groenenboom, 2019]), the successor of the version in Zijl et al. [2013,2015]. The model describes the tide-surge water level variability for the northwest European continental shelf between 15◦W to 13◦E and 43◦N to 64◦N by solving the depth-integrated shallow-water equations for hydrodynamic modeling of free-surface flows [Leendertse, 1967, Stelling, 1984].

Water level conditions are applied at the northern, western, and southern open boundaries. When modeling the tide-surge water levels, they are composed of the sum of the astronomical water levels and the surge. The tides are obtained from a harmonic expansion of 32 tidal constituents retrieved from the global ocean tide model FES2012 [Carr`ere et al., 2013] supplemented with the solar annual Sa constituent obtained from an earlier version of the model. The surge at the open boundaries is approximated by the time- and space-dependent inverse barometer correction. A smaller part of the tides is generated from the tidal potential within the model domain. When included, time- and space-varying atmospheric wind and pressure forcings are obtained from the ECMWF’s ERA5 reanalysis dataset [Hersbach et al., 2020].

In our simulations, we force the model by i) both tidal and meteorological (i.e., atmospheric wind and pressure) forcing, ii) tidal forcing only, and iii) meteorological forcing only. This enumeration also relates to the files included and described below. 

The files included are:

 i. 2D_DCSM-FM_A03_FES2014_GTSM_H1H2_1980-2020_EURPFM_complete.pkl

ii. 2D_DCSM-FM_A03_FES2014_GTSM_H1H2_1980-2020_astro_EURPFM_complete.pkl

iii. 2D_DCSM-FM_A03_FES2014_GTSM_H1H2_1980-2020_noTide_noTGF_EURPFM_complete.pkl

References:

F. Zijl and J. Groenenboom. Development of a sixth-generation model for the NW European Shelf (DCSM-FM 0.5nm). Technical report, Deltares, 2019. Available online at: https: //publications.deltares.nl/11203715_004.pdf (accessed July 18, 2022).

F. Zijl, M. Verlaan, and H. Gerritsen. Improved water-level forecasting for the northwest european shelf and north sea through direct modeling of tide, surge and non-linear interaction. Ocean Dynam., 63(7):823–847, 2013. ISSN 1616-7228. doi: 10.1007/s10236-013-0624-2.

F. Zijl, J. Sumihar, and M. Verlaan. Application of data assimilation for improved operational water level forecasting on the northwest European shelf and north sea. Ocean Dynam., 65(12): 1699–1716, 2015. ISSN 1616-7228. doi: 10.1007/s10236-015-0898-7.

L. Carr`ere, F. Lyard, M. Cancet, A. Guillot, and L. Roblou. FES2012: A New Global Tidal Model Taking Advantage of Nearly 20 Years of Altimetry. In L. Ouwehand, editor, 20 Years of Progress in Radar Altimetry, volume 710 of ESA Special Publication, page 13, Sept. 2013.

H. Hersbach, B. Bell, P. Berrisford, S. Hirahara, A. Hor ́anyi, J. Mu ̃noz-Sabater, J. Nicolas, C. Peubey, R. Radu, D. Schepers, et al. The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730):1999–2049, 2020. doi: 10.1002/qj.3803.

J. J. Leendertse. Aspects of a Computational Model for Long-period Water-wave Propagation. Rand Corporation for the United States Air Force Project Rand, 1967. LEGOS/CNRS/CLS. Dynamic atmospheric correction, 1992. URL https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/dynamic-atmospheric-correction.html.

G. S. Stelling. On the construction of computational methods for shallow water flow problems. PhD thesis, Delft University of Technology, Delft, 1984. Rijkswaterstaat Communications 35.

• 2022-09-21 first online, published, posted

4TU.ResearchData

ZIP, python pickle, pandas dataframe.

• NWO - Versatile Hydrodynamics

Deltares, Delft, The Netherlands

TU Delft, Faculty of Electrical Engineering, Mathematics & Computer Science (EEMCS), Delft Institute of Applied Mathematics, Department of Mathematical Physics