Abstract
This article contains the set-up and input files of the implementation of Delft3D model to determine extreme hydrodynamic forces performed in Rueda-Bayona et al. [1]. The model was configured with a multidomain grid using double-way communication between the hydrodynamic and wave module. The multidomain grids solve faster than single and nested grids because require less grid points to calculate. Also, the double-way communication between the hydrodynamic and wave modules allows to consider the non-linear interactions of wind, waves, tides and currents. Because there are no modelling examples related to multidomain grids in the open access official web site of Delft3d model, this data contributes to increase the availability information of this necessity. Finally, the files of this article are ready to be run in the Delft3D model to perform a sensitivity test recommended in Rueda-Bayona et al. [1].
Keywords: Numerical modelling, Simulation, Hydrodynamic, Delft3D, Waves, Wind, Tides, Currents
Specifications Table
| Subject | Engineering |
| Specific subject area | Ocean engineering |
| Type of data | Set-up and input files to run the Delft3D model. |
| How data were acquired | Implementation and numerical simulation in a Windows Core i7 computer with x64 bits. |
| Data format | Raw |
| Parameters for data collection | The considered conditions for using the input and set-up files are described in Rueda-Bayona et al. [1,2]. |
| Description of data collection | The set-up files where configured, implemented and run considering numerical restrictions and know-how of the Delft3D model [3,4]. |
| Data source location | The study area is limited by the following coordinates: X1 = −72.585997° W, Y1 = 12.5° N X2 = −72.213488, Y2 = 12.065316° N X3 = −72.585997° W, Y3 = 12.065316° N X4 = −72.213488° W, Y4 = 12.5° N |
| Data accessibility | Supplementary material alongside the online version of this data article. |
| Related research article | J.. Rueda-Bayona, A. Osorio-Arias, A. Guzmán, G. Rivillas-Ospina, Alternative Method to Determine Extreme Hydrodynamic Forces with Data Limitations for Offshore Engineering, J. Waterw. Port, Coastal, Ocean Eng. 145 (2018) 05018010. https://doi.org/10.1061/(asceww.1943-5460.0000499) [1]. |
Value of Data
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1. Data
The dataset gathers the input and set-up files of a study case modelled through the Delft3D model. The data allows to model a multidomain grid with double-way communication in an offshore location of the Guajira – Colombia (Fig. 1). Also, this data can be considered as a reference to implement multidomain grid modelling for others study cases.
Fig. 1.
Study area and Outer Grid of the multidomain model (black polygon).
The input data contains information of atmosphere (relative humidity, air temperature, cloud coverage, solar radiation, wind) extracted from NARR-NOAA database [5], water levels calculated through the GRENOBLE model [6], bathymetry from ETOPO database [7], surface salinity and temperature of the study area derived from World Ocean Atlas database (www.nodc.noaa.gov) [8]. The set-up files contain model parameters that specify the boundary conditions, grid geometry, govern equations to be solve, and the coordinates of the monitoring observation points. The wave data utilized as input information was extracted from the database provided by Oceanicos-UNAL et al. [9] and related to the research of A.F. Osorio et al. [10].
The data is gathered and stored within a compressed folder named as Multi_domain_2004_all_forces.zip. The Multi_domain_2004_all_forces folder contains the input and setup files of the Delf3d model mentioned above; the guajira.ddb file allows to connect the outer and inner grid. The dataset can be downloaded directly from the online version of this data article.
2. Experimental design, materials, and methods
The study area of the multidomain modelling [1] is shown in Fig. 1, where the black square, red rhomboid and yellow triangle symbols, indicate the temperature-salinity input data, waves input data and numerical monitoring point respectively (Fig. 2 of [1]).
The study area is considered as strategic (Fig. 1) because there were identified the highest wind speed and wind power density potential in Colombia according to the results revealed in Rueda-Bayona et al. [11].
The dataset of this article is in ASCII file format, and is organized and described as follows:
2.1. Input data
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Outer bathymetry: outside.dep.
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Inner bathymetry: inside.dep.
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Boundary definition file (Flow module): 2004.bnd
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Time-series flow conditions (Flow module): 2004.bct.
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Transport conditions (Flow module): 2004.bcc.
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Bottom roughness file (Flow module): Chezy_5_60.rgh
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Heat flux model data (Flow module): 2004.tem.
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Wind data (Flow module): 2004.wnd.
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Wave boundary condition: TPAR.bnd.
2.2. Set-up data
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Outer Grid (Flow module): outside_Guajira_2004.grd.
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Inner Grid (Flow module): inside_Guajira_2004.grd.
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Wave module grid: outside_swan.grd.
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Outer enclosure grid: outside_Guajira_2004.enc.
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Inner enclosure grid: inside_Guajira_2004.enc.
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Outer grid observation points: outside_puntos.obs.
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Inner grid observation points: windmill.obs.
The data related to the atmosphere information (2004.tem, 2004.wnd) were processed through MATLAB (www.mathworks.com) language with the same methodology recommended in the data article of Rueda-Bayona et al. [12]. The bathymetry, geometry and monitoring point information (outside.dep., inside.dep, Chezy_5_60.rgh, outside_Guajira_2004.grd., inside_Guajira_2004.grd., outside_Guajira_2004.enc., inside_Guajira_2004.enc., outside_puntos.obs., windmill.obs.) were created through the RGFGRID and QUICKIN tools of the Delft3D model. The Boundary definition, Time-series flow conditions, Transport conditions, were generated with the graphical user interface (GUI) of the flow module and verified though EXCEL spreadsheets. Finally, the Wave boundary condition data (TPAR.bnd.) was processed in MATLAB.
Acknowledgments
Authors thank to Universidad Militar Nueva Granada and Universidad del Norte for the financial support through the research project INV-ING-2985 and to Universidad Nacional de Colombia by the academic support offered by the research groups OCEANICOS (Universidad Nacional de Colombia, Sede Medellín).
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.dib.2019.104921.
Conflict of Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Appendix A. Supplementary data
The following is the Supplementary data to this article:
References
- 1.Rueda-Bayona J., Osorio-Arias A., Guzmán A., Rivillas-Ospina G. Alternative method to determine extreme hydrodynamic forces with data limitations for offshore engineering. J. Waterw. Port, Coast. Ocean Eng. 2018;145 [Google Scholar]
- 2.Rueda-bayona J.G. [Caracterización hidromecánica de plataformas marinas en aguas intermedias sometidas a cargas de oleaje y corriente mediante modelación nu]. 2017. Hydro mechanical characterization of marine platforms at intermediate waters under wave and current loads through ... [Google Scholar]
- 3.Deltares, Delft3D-WAVE . 2014. Simulation of short-crested waves with SWAN - User Manual. [Google Scholar]
- 4.Deltares, Delft3D-FLOW . 2014. Simulation of multi-Dimensional Hydrodynamic Flows and Transport phenomena, including sediments - User Manual. [Google Scholar]
- 5.NOAA . 2016. NCEP North American Regional Reanalysis: NARR. [Google Scholar]
- 6.Le Provost C., Genco M.L., Lyard F., Vincent P., Canceil P. Spectroscopy of the world ocean tides from a finite element hydrodynamic model. J. Geophys. Res. Ocean. 1994;99:24777–24797. [Google Scholar]
- 7.NOAA ETOPO1 global relief model. 2018. https://www.ngdc.noaa.gov/mgg/global/ ETOPO1 Glob. Reli. Model.
- 8.NODC-NOAA . 2018. World Ocean Atlas 2013.https://www.nodc.noaa.gov/OC5/woa13/ [Google Scholar]
- 9.Oceanicos-UNAL, Gici-UdeM Uninorte. 2015. Generación de regímenes de oleaje medios y extr_emales en el caribe colombiano, Santa Marta. [Google Scholar]
- 10.Osorio A.F., Montoya R.D., Ortiz J.C., Peláez D. Construction of synthetic ocean wave series along the Colombian Caribbean Coast: a wave climate analysis. Appl. Ocean Res. 2016;56:119–131. [Google Scholar]
- 11.Rueda-Bayona J.G., Guzmán A., Eras J.J.C., Silva-Casarín R., Bastidas-Arteaga E., Horrillo-Caraballo J. Renewables energies in Colombia and the opportunity for the offshore wind technology. J. Clean. Prod. 2019;220:529–543. [Google Scholar]
- 12.Rueda-Bayona J.G., Guzmán A., Eras J.J.C. Wind and power density data of strategic offshore locations in the Colombian Caribbean coast. Data Brief. 2019;27 doi: 10.1016/j.dib.2019.104720. 0–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
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