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17 results for “coastal waves”
SBC LTER: Daily averages of modeled significant wave height (Hs) and peak wave period (Tp) in the Santa Barbara Coastal area from the Coastal Data Information Program - Monitoring and Prediction System (CDIP MOP)
From http://cdip.ucsb.edu: The Coastal Data Information Program (CDIP) is a research group at Scripps Institution of Oceanography that monitors coastal waves and nearshore sand levels on regional scales. CDIP maintains a network of optimally-placed, directional wave buoys from San Diego to Eureka. The buoy measurements are used to initialize a high spatial resolution (100m x 100m) linear spectral wave propagation model. The resulting hourly hindcasts and nowcasts of CA coastal wave conditions have a level of accuracy that is not possible with more traditional wind-wave generation models that are initialized with modeled wind fields.
Data used in the manuscript: "Influence of coastal vegetation on the 2004 tsunami wave impact in west Aceh"
<p>The data set presented accompanies the study by Laso Bayas et al. (2011) “Influence of coastal vegetation on the 2004 tsunami wave impact in west Aceh”. The data set contains all the observed (not transformed) variables used in the above mentioned study. The accompanying text file describes each of the variables included. A total of 180 transects were employed for the Laso Bayas et al (2011) study. The variables were further standardized and simplified to use them into the statistical models described in the paper.</p>
Observations of Diurnal Coastal-Trapped Waves with a Thermocline-Intensified Velocity Field
<p>Repository for the data presented in the JPO 2019 article: "Observations of Diurnal Coastal-Trapped Waves with a Thermocline-Intensified Velocity Field". Observations were compared against output from Ken Brink's model. The model is available from: <a href="https://darchive.mblwhoilibrary.org/handle/1912/10527">https://darchive.mblwhoilibrary.org/handle/1912/10527</a>.</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>
Wave Dynamics and Fluid Stresses in Vegetated and Unvegetated Coastal Lagoons in Virginia, 2010-2011
Wave, turbulence and wind measurements were performed within a Zostra marina seagrass (eelgrass) meadow in South Bay, Virginia, USA a coastal bay within the Virginia Coast Reserve where ongoing seagrass restoration efforts are being performed, and in adjacent areas without seagrass. These datasets were published in: Hansen J.C.R. and Reidenbach M.A., 2013, Seasonal growth and senescence of a Zostera marina seagrass meadow alters wave-dominated flow and sediment suspension within a coastal bay, Estuaries and Coasts, 36, 1099-1114.
Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - Simuation results and observed data
<p>This data set contains the simulation results and observed data at NDBC buoy locations.</p> <ul> <li>wave_data.pickle <ul> <li>File containing python data objects which store: station ID data, observed data, model data, and model output dates. Requires python 3.8.</li> </ul> </li> <li>data_access.py <ul> <li>Example python script which reads in a prints the data from wave_data.pickle. It also demonstrates how to access data from the objects stored in the pickle file.</li> </ul> </li> </ul>
Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - 2 degree WaveWatchIII configuration files
<p>This dataset contains the mesh and model configuration information for a WaveWatchIII run using a 2 degree structured grid.</p> <ul> <li>glo_2d.bot <ul> <li>Bottom depth file for 2 degree structured grid</li> </ul> </li> <li>glo_2d.mask <ul> <li>Mask file for 2 degree structured grid</li> </ul> </li> <li>obstructions_local.glo_2d.in <ul> <li>local obstructions file for use with UOST source term switch</li> </ul> </li> <li>obstructions_shadow.glo_2d.in <ul> <li>shadow obstructions file for use with UOST source term switch</li> </ul> </li> <li>ww3_grid.inp <ul> <li>Input file for the ww3_grid pre-processing program. This file specifies many of the model configuration settings.</li> </ul> </li> <li>ww3_shel.inp <ul> <li>Input file for the ww3_shel program.</li> </ul> </li> </ul>
Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - unstructured (2 degree to 1/2 degree) WaveWatchIII configuration files
<p>This dataset contains the mesh and model configuration information for a WaveWatchIII run using a global ustructured grid.</p> <ul> <li>mesh.msh <ul> <li>Unstructured mesh file in gmsh format. The unstructured mesh has 2 degree resolution globally with 1/2 degree resolution around the U.S. coastlines. The transition in resolution occurs at 4000m depth with a 10% resolution grading.</li> </ul> </li> <li>obstructions_local.glo_unst.in <ul> <li>local obstructions file for use with UOST source term switch</li> </ul> </li> <li>obstructions_shadow.glo_unst.in <ul> <li>shadow obstructions file for use with UOST source term switch</li> </ul> </li> <li>ww3_grid.inp <ul> <li>Input file for the ww3_grid pre-processing program. This file specifies many of the model configuration settings.</li> </ul> </li> <li>ww3_shel.inp <ul> <li>Input file for the ww3_shel program.</li> </ul> </li> </ul>
Wave setup and wave-induced flooding dataset for "Coastal flooding and sea-level rise allowances in atoll island"
<p>This dataset contains the wave setup and wave-induced flooding from the simulations in a profile of a coral reef island. The complete description of the simulations can be found in "Coastal flooding and sea-level rise allowances in atoll island". The wave setup and flooding values correspond to the median values of the 3 simulations performed for each parameter combination. A measure of the dispersion of the three simulation is also given as the standard deviation of the three simulations.</p>
Compact RINEX dataset of: Optimizing simultaneous water level and wave measurements from multi-GNSS interferometric reflectometry over one year at an exposed coastal site
<p>Compact-RINEX files (Hatanaka-compressed format) for each day of the deployment. Sampling frequency is 1 Hz.</p>
Datatset from "Coastal flooding in the Maldives induced by mean sea-level rise and wind-waves: from global to local coastal modelling"
<p>Resulting downscaled wave fields from the WaveWatch III simulations for the four main wave directions identified and six return periods (10, 20, 50, 100, 500, and 1000 years).</p>
Positioning GNSS data of "Optimizing simultaneous water level and wave measurements from multi-GNSS interferometric reflectometry over one year at an exposed coastal site"
<p>These files show the position of the GNSS antenna used in the experiment. Files are obtained for DOY 53 and 242 in 2020.</p> <p> </p>
In situ observational data for "Typhoon-associated short-term marine heat waves in the northern South China Sea coastal waters"
<p>The in situ observational data for "Typhoon-associated short-term marine heat waves in the northern South China Sea coastal waters", which will be submitted to the Journal of GRL</p>
Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - 1/2 degree WaveWatchIII configuration files
<p>This dataset contains the mesh and model configuration information for a WaveWatchIII run using a 1/2 degree structured grid.</p> <ul> <li>glo_30m.bot <ul> <li>Bottom depth file for a 1/2 degree structured grid</li> </ul> </li> <li>glo_30m.mask <ul> <li>Mask file for a 1/2 degree structured grid</li> </ul> </li> <li>obstructions_local.glo_30m.in <ul> <li>local obstructions file for use with UOST source term switch</li> </ul> </li> <li>obstructions_shadow.glo_30m.in <ul> <li>shadow obstructions file for use with UOST source term switch</li> </ul> </li> <li>ww3_grid.inp <ul> <li>Input file for the ww3_grid pre-processing program. This file specifies many of the model configuration settings.</li> </ul> </li> <li>ww3_shel.inp <ul> <li>Input file for the ww3_shel program.</li> </ul> </li> </ul>
Movies for the manuscript titled as "Analyses of sea level variations, coastal trapped waves and volume transports during the 2023 earthquake in the Eastern Mediterranean Sea".
Open the record for dataset details and reuse information.
Data from: A boulder beach formed by waves from a calving glacier revisited: multidecadal -tsunami- controlled coastal changes in front of Eqip Sermia
<div>This study is a contribution to the National Science Centre project ‘GLAVE’ (Award No. UMO-2020/38/E/ST10/00042)</div> <div> </div>
Compact RINEX dataset of: Optimizing simultaneous water level and wave measurements from multi-GNSS interferometric reflectometry over one year at an exposed coastal site
<p>Compact-RINEX files (Hatanaka-compressed format) for each day of the deployment. Sampling frequency is 1 Hz.</p>
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