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12 results for “Wave dissipation”
Energy transfers and reflexion of infragravity waves at a dissipative beach under storm waves.
<p>%%% Author: Xavier Bertin (xbertin@univ-lr.fr) %%%<br> %%% Date: 15/04/2020 %%% <br> %%% Purpose: This repository provides the field observations and XBeach model input %%%<br> %%% required to reproduce the results presented in paper referred below. %%%<br> %%% Reference: Bertin, X., Martins, K., de Bakker, A., Guérin, T., Chataigner, T., %%%<br> %%% Coulombier, T. et de Viron, O., 2020. Energy transfers and reflexion of %%%<br> %%% infragravity waves at a dissipative beach under storm waves. In press %%%<br> %%% to Journal of Geophysical Research-Ocean. %%%<br> %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%</p> <p>*The directory Obs includes:<br> -The wave bulk parameters computed as explained in the paper for the 10 sensores used in this<br> study: the offshore ADCP1, the intertidal PT1, PT2, ADCP2/PT3, PT4, PT5, ADV/PT6, PT7/Altus, PT8<br> and PT9. Each file has the same format and includes: the date (YYYY MM DD), the time (HH MM SS), <br> the mean water depth, the spectral significant wave height Hm0, mean wave periods Tm01 and Tm02, <br> the discrete and continuous peak periods, the energetic wave period Tm0,-2 and the spectral<br> significant height of IG waves Hm0,IG. <br> -The spectral significant height Hm0,IG+ and mean wave period Tm02,IG+ of incoming IG waves<br> separated at the ADCP2 and ADV using the method of Guza et al. (1984). The two files have the same <br> format and includes the date (YYYY MM DD), the time (HH MM SS), Hm0,IG+ and Tm02,IG+.<br> -The position of each sensore measured with a geodetic GNSS and provided in the same datum as the <br> bathymetry used in the model (Lambert93 and mean sea level). </p> <p>*The directory XBeach includes all the necessary files required to reproduce the simulations presented <br> in this study<br> -The bathymetry interpolated over a rectilinear grid, with X and Y given in Lambert93 coordinates (files<br> X_L93.grd and Y_L93.grd) and Z referred with respect to mean sea level (Z_L93.grd).<br> -The water level fluctuations measured at ADCP1 (WLevel_ADCP_201702.dat).<br> -The XBeach input file (params.txt) and a file providing the list of directional wave spectra<br> provided in the directory "Spectra_WWIII". These spectra were computed from a regional application of <br> WaveWatchIII over the North Atlantic Ocean and forced with CFSR wind fields but they were converted<br> in the format of SWAN, readable by XBeach.</p>
Wave dissipation and transformation over coastal vegetation under extreme hydrodynamic loading
<p><strong>This dataset provides raw and processed data generated in the experimental campaign: “Wave dissipation and transformation over coastal vegetation under extreme hydrodynamic loading”. The experiments were performed in the Large Wave Flume (Grosser Wellenkanal, GWK) of Forschungszentrum Küste (FZK) in Hannover, Germany. The objectives of the experiments were</strong></p> <ol> <li><strong>Quantify the role of vegetation on wave attenuation under extreme conditions that are essential for flood defence designs;</strong></li> <li><strong>Identify water depth / wave height / wave steepness thresholds that mark the transition from (a) conditions in which vegetation has a negligible effect on wave energy to (b) those regimes where vegetation significantly affects waves, to (c) those conditions that cause bed/canopy/plant ‘failure’/’breakage’;</strong></li> <li><strong>Quantify the forces and response of two species types (Elymus and Puccinellia), at the front of the vegetated section to the various depth/energy regimes;</strong></li> <li><strong>Quantify the effect of a non-vegetated marsh platform on waves, for comparison with the effects of the vegetated platform (control condition).</strong></li> </ol> <p><strong>Observations and measurements were based on a submerged vegetated platform of approximately one wave length (40 m) subjected to irregular waves of different characteristics. The tested vegetation was made up of typical north-western European species-rich middle to high elevation marsh communities. The data acquisition covered</strong></p> <ol> <li><strong>The wave characteristics in front of, over, and behind the platform;</strong></li> <li><strong>Current velocity profiles above the vegetation;</strong></li> <li><strong>Point flow velocities;</strong></li> <li><strong>Plant stem density;</strong></li> <li><strong>Soil surface profiles;</strong></li> <li><strong>Net floating organic debris, and</strong></li> <li><strong>Forces exerted on real and artificial plants mounted in front of the test platform.</strong></li> </ol> <p><strong>In addition to measurements, the plant movements and the whole experimental area were video recorded.</strong></p> <p><strong>Due to their very large sizes, video recordings cannot be placed to this repository. This data and the data from number 4 to 6 of the list above may be provided on demand. Please contact the manager of the FZK laboratory. More information about the experiments may be found in the auxiliary files (see the readme.txt file) provided here, and associated publications as follows:</strong></p> <ol> <li>Möller, I., Kudella, M., Rupprecht, F., Spencer, T., Paul, M., Wesenbeeck, B.K. van, Wolters, G., Jensen, K., Bouma, T.J., Miranda-Lange, M., Schimmels, S., 2014. Wave attenuation over coastal salt marshes under storm surge conditions. Nature Geoscience 7, ngeo2251. https://doi.org/10.1038/ngeo2251</li> <li>Rupprecht, F., Möller, I., Paul, M., Kudella, M., Spencer, T., van Wesenbeeck, B.K., Wolters, G., Jensen, K., Bouma, T.J., Miranda-Lange, M., Schimmels, S., 2017. Vegetation-wave interactions in salt marshes under storm surge conditions. Ecological Engineering 100, 301–315. https://doi.org/10.1016/j.ecoleng.2016.12.030</li> <li>Spencer, T., Möller, I., Rupprecht, F., Bouma, T.J., van Wesenbeeck, B.K., Kudella, M., Paul, M., Jensen, K., Wolters, G., Miranda-Lange, M., Schimmels, S., 2016. Salt marsh surface survives true-to-scale simulated storm surges. Earth Surf. Process. Landforms 41, 543–552. https://doi.org/10.1002/esp.3867</li> </ol>
Dissipative Solitons and Switching Waves in Dispersion-Modulated Kerr Cavities
<p>Execution tested with Matlab 2020a or newer on Windows. Unzip folder to access files.</p> <p><br> Contact miles.anderson@epfl.ch for any serious questions on the contents.<br> All matlab code remains under copyright by the authors: Miles Anderson and Tobias J. Kippenberg, and is provided solely to be used to reproduce the figures of the aforementioned paper and example simulation results pertaining to the paper.</p> <p>Figure data and generation code is found in "Figure Data\Scripts and Data". Run matlab scripts in the given folder to generate the figures. Other relevant figures containing data is found in "\Other".</p> <p>Seven example matlab simulation scripts are found in "Simulation Example Code".</p> <ul> <li>Running 'lle_cavity_v4_CW_FI_Low2' models CW Faraday Instability appearance from Figure 3, in dimensionless units.</li> <li>Running 'lle_cavity_v4_Soliton_FI_1' models a dissipative soliton with Kelly sidebands or higher-order dispersive waves in dispersion modulated cavity, from Figure 4, in dimensionless units.</li> <li>Running 'lle_cavity_v4_SW_FI_Low2' models a switching wave with FI-motivated satellites in dispersion modulated cavity, from Figure 7, in dimensionless units.</li> <li>Running 'lle_SiNcavity_v4_SW_FaradaySatellite_F9C15R6_1_1b' (or just '1') uses experimental data to reproduce the experiment for the pulse-driven switching wave according to the LLE, the results of which are shown in Figure 7(f) of the main paper, and Figure S5 of the supplementary information.</li> <li>Running 'lle_SiNcavity_v4_SW_FaradaySatellite_F2C15R5_2_3' (and also '3_1') uses experimental data to reproduce the experiment for the pulse-driven switching wave according to the LLE, the results of which are shown in Figure 8 and 9 of the main paper, and Figure S6 of the supplementary information.</li> <li>Running 'lle_SiNcavity_v4_SolitonHDW_F1C16R6TM_5_s2' uses experimental data to reproduce the experiment as seen in Figure 6 for the pulse-driven soliton according to the LLE, results of which are shown in Figure S9 of the supplementary information.</li> </ul> <p>The script parameters may be modified to find results under different driving conditions and over different time periods and sampling rates as required.</p> <p>M. Anderson apologises in advance for the complexity, readability, and optimisation of the script.</p> <p>This work was supported by Contract No. D18AC00032 (DRINQS) from the Defense Advanced Research Projects Agency (DARPA). This material is based upon work supported by the Air Force Office of Scientific Research under Grant No. FA9550-19-1-0250. This work was further supported by the European Union’s Horizon 2020 Program for Research and Innovation under Grant No. 812818 (Marie Skłodowska-Curie ETN MICROCOMB) and by the Swiss National Science Foundation under Grant Agreement No. 192293.</p>
Data for "Wave dispersion and dissipation in landfast ice: comparison of observations against models"
<p>Data to replicate Figures 2, 3 and 7 in the manuscript: Wave dispersion and dissipation in landfast ice: comparison of observations against models. Article submitted for review to The Cryosphere (https://doi.org/10.5194/tc-2021-210)</p>
Cross-shore distribution of the wave-induced circulation over a dissipative beach under storm wave conditions: the dataset
<p>###</p> <p>Author: Marc Pezerat (marc.pezerat@univ-lr.fr or pezeratm@gmail.com)</p> <p>Date: 19/01/2022</p> <p>Purpose: This repository provides the field observations presented in the paper referred below</p> <p>Reference: Pezerat, M., Bertin, X., Martins, K. and Lavaud, L. (2022) Cross-shore distribution of the wave-induced circulation over a dissipative beach under storm wave conditions. Submitted to Journal of Geophysical Research-Ocean</p> <p>###</p> <p>* The directory Obs includes :</p> <p>(1) Wave bulk parameters, computed as described in the paper for the 7 sensors used in this study (.dat files) : the offshore AWAC and ADCP 600 kHz, the intertidal ADCP2MHz, PT2, PT3, ADV and PT5. For the three ADCP and the ADV, the average velocity measurements within the fixed wave cell of both horizontal components of the current in the ENU frame are provided ("uwcell" and "vwcell"). The field "wdepth" corresponds to the water depth above the seabed (i.e. corrected from sensor's elevation). The fields "fmin" and "fc" are the boundaries for the wave energy frequency spectra integration performed to compute the wave bulk parameters.</p> <p>(2) The vertical velocity profiles of the three components of the current in the ENU frame (u,v,w and hv, which corresponds to the norm of the horizonal current) for the three ADCP, provided in netCDF files in which the coordinate "z" corresponds to the height above the seabed.</p> <p>* The file sensors_loc.dat gathers the coordinates and the elevation above the seabed of each sensor.</p> <p>* The file "SaintTrojan_bathy_topo_ST2021.gr3" corresponds to the grid with the bathymetry used for this study in a format compliant with SCHISM-WWM.</p> <p>* The file "ww3.bnds_SaintTrojan_0.2d_ZWND14m_20210110_20210301_spec.nc" contains wave energy spectra issued from a North Atlantic application of Wavewatch III model that are used to force WWM at the offshore boundary.</p>
Wave dissipation and mean circulation on a shore platform under storm wave conditions: the dataset
<p>###</p> <p>Author: Laura Lavaud (laura.lavaud@univ-lr.fr or llavaud@orange.fr)</p> <p>Date: 11/02/2022</p> <p>Purpose: This repository provides the field observations presented in the paper referred below</p> <p>Reference: Lavaud, L., Bertin, X., Martins, K., Pezerat, M., Coulombier, T., Dausse, D. (2022). Wave dissipation and mean circulation on a shore platform under storm wave conditions. Submitted to Journal of Geophysical Research-Earth Surface</p> <p>###</p> <p>* The directory storm_conditions is relative to the field campaign conducted in storm conditions, it includes:</p> <p>(1) Wave bulk parameters, computed as described in the paper for the 8 sensors used in this study: (SENSOR_Date_WDepth_Hm0_Tm02_Tpc_Fmin_Fmax.dat files) : the offshore ADCP 600 kHz and PT2, the intertidal PT4, 5, 6, 8, 9 and 10. The field "WDepth" in the title of each file corresponds to the mean water depth above the seabed (i.e. corrected from sensor's elevation above the bed), Hm0 is the significant wave height, Tm02 the mean wave period and Tpc the continuous peak period. The fields "Fmin" and "Fmax" are the boundaries for the integration of the wave energy frequency spectra performed to compute the wave bulk parameters.</p> <p>(2) The file ADV7_Date_WDepth_horizontal_current_ENU_20minburst.dat contains the WDepth and the horizontal components of the velocity at the ADV in the ENU frame, averaged over bursts of 20 minutes. </p> <p>(3) The file sensors_coordinates_storm_cond.dat gathers the coordinates and the NGF (IGN69) elevation of the seabed at the location of each sensor.</p> <p>* The directory fair_weather_conditions is relative to the field campaign conducted in fair weather conditions, it includes:</p> <p>(1) Wave bulk parameters, computed for the 6 sensors used in this study (SENSOR_Date_WDepth_Hm0_Tm02_Tp_Fmin0pt04_Fmax0pt25.dat files) : the intertidal ADCP 2MHz, PT0, PT1, ADV, PT2 and PT3.</p> <p>(2) The file sensors_coordinates_fairweather_cond.dat gathers the coordinates of each sensor.</p> <p>* The directory model_input_files includes the files used to run the simulations presented in this study:</p> <p>(1) The SCHISM and WWM input files (param.nml and wwminput.nml) and the vertical grid (vgrid.in)</p> <p>(2) The file "ww3.bnd_spec_20200120_20200229.nc" which corresponds to directional wave energy spectra used to force WWM at the open boundary of the computational grid. These spectra were computed from a North Atlantic application of Wavewatch III model forced by CFSR wind fields. </p>
Observed and Simulated Surface Wave and Roller Dissipation with Ground Truth Data at the West Coast of Sylt on Sep 27 - Oct 2, 2016
<p>This dataset contains post-processed Doppler marine radar observations and numerical simulations of surface wave and roller dissipation as well as wave energy flux across the surf zone of a double-barred sandy beach at the island of Sylt, Germany.</p> <p>The methodology to obtain dissipation from coherent marine radar data is described in the following article:</p> <p>Streßer, M., Horstmann J., Baschek, B. (2022): Surface Wave and Roller Dissipation Observed with Shore-based Doppler Marine Radar. Manuscript in preparation.</p> <p>The simulations were realized with with the <a href="https://github.com/mstresser/SimpleWaves1D">SimpleWaves1D</a> model using the <a href="https://linkinghub.elsevier.com/retrieve/pii/S0378383907000580">Janssen and Battjes (2007)</a> wave breaking parameterization. The wave buoy data used to force the model was recorded as part of the <a href="https://codm.hzg.de/codm/">COSYNA</a> observation system. The bathymetry transect was generated using the echosounder data of <a href="https://doi.pangaea.de/10.1594/PANGAEA.898407">Cysewski et al. (2019)</a></p> <p>Radar data and and simulation results are re-gridded to a common hourly time grid using nearest neighbor interpolation with the dimension [time x range].</p> <p>Structure of radar observations:</p> <pre><code>CMRgridded = struct with fields: t: [109×1 double] time as Matlab datenum r: [435×1 double] range, i.e. distance from radar antenna [m] cg: [435×109 double] wave group velocity [m/s] cp: [435×109 double] wave phase velocity [m/s] d: [435×109 double] local water depth [m] H_rms_roller: [435×109 double] energy wave height estimated using the roller concept [m] k: [435×109 double] local wave number [rad/m] w: [435×109 double] wave frequency [rad/s] Dr: [435×109 double] roller dissipation [W/m^2] Er: [435×109 double] roller energy [Nm/m^2] Fr: [435×109 double] flux of roller energy [W/m] Dw: [435×109 double] wave dissipation [W/m^2]</code></pre> <p>Structure of the simulation results:</p> <pre><code>SWgridded = struct with fields: t: [109×1 double] timestamp as Matlab datenum r: [435×1 double] range, i.e. distance from radar antenna [m] cg: [435×109 double] wave group velocity [m/s] cp: [435×109 double] wave phase velocity [m/s] d: [435×109 double] local water depth [m] H_rms: [435×109 double] energy wave height [m] E: [435×109 double] wave energy [Nm/m^2] Dr: [435×109 double] roller dissipation [W/m^2] Dw: [435×109 double] wave dissipation [W/m^2] Er: [435×109 double] roller energy [Nm/m^2] Qb: [435×109 double] fraction of breaking waves [-]</code></pre> <p> </p> <p>Ground truth data is available from two bottom mounted pressure wave gauges (PG) located at r=127.5 m (PG<sub>A</sub>) and r=180 m (PG<sub>B</sub>) and a wave rider buoy located at r=1100 m. </p> <p>Structure of the ground truth data;</p> <pre><code>PG = struct with fields: t: [209×1 double] timestamp as Matlab datenum Hs_pg_A: [209×1 double] significant wave height at the pressure gauge A Hs_pg_B: [209×1 double] significant wave height at the pressure gauge B WR = struct with fields: t: [1344×1 double] timestamp as Matlab datenum Hs: [1344×1 double] significant wave height [m] Dirp: [1344×1 double] wave direction at the peak frequency [°] Tp: [1344×1 double] peak period [s] Tmean: [1344×1 double] mean period, or Tm(0,1) [s] Tcross: [1344×1 double] zero-upcross period [s] Sprp: [1344×1 double] directional spread at the peak frequency [°] </code></pre> <p> </p> <p>The data is stored in Matlab<sup>®</sup> v7.3 format. Timestamps are given as Matlab<sup>®</sup> datenum, i.e. whole and fractional number of days from January 0, 0000.</p> <p> </p>
Ion friction and quantification of the geomagnetic influence on gravity wave propagation and dissipation in the thermosphere-ionosphere
<p>Data supporting figures 2, 3 and 4 of the manuscript doi:10.1002/2017JA024785<br> </p> <p> </p>
Data associated with a manuscript submitted to Journal of Geophysical Research - Oceans (Wave generation, dissipation, and disequilibrium in an embayment with complex bathymetry
<p>Observations and Model setup associated with a manuscript submitted to Journal of Geophysical Research - Oceans (Wave generation, dissipation, and disequilibrium in an embayment with complex bathymetry</p>
Data Supporting Dissipation Scaled Internal Wave Drag in a Global Heterogeneously Coupled Internal/External Mode Total Water Level Model
Open the record for dataset details and reuse information.
Modified Frequency Distribution Function in Wave Breaking Dissipation
<p>Code and data supporting manuscript "Modified Frequency Distribution Function in Wave Breaking Dissipation" submitted to JGR Oceans</p>
Supplementary data to 'Do beach profiles under non-breaking waves minimize energy dissipation?'
<p>This repository contains the following files:</p> <p>1. 'data_for_tables.xlsx' summarises the results of using the codes in doi:10.5281/zenodo.3725621 for all profiles considered in this associated paper. These data feed into the tables of the paper. Additional notes can be found in the spreadsheet.</p> <p>2. Three files with extension *.sfit are sessions for the 'cftool' toolbox of Matlab (version 2017b) that give the results of the best-fits to the measured profiles.</p>
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