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26 results for “wave breaking”
Data to generate the figures of: "Symmetry breaking of azimuthal waves: Slow-flow dynamics on the Bloch sphere"
<p>The folder contains the data and scripts to generate all the figures of the paper, with detailed instructions.</p> <p>No experimental data was used for this article.</p>
Hydrodynamic and turbulence under breaking waves at the CIEM flume, Hydralab +
<p>Processed phase-averaged experimental data of the bichromatic wave condition as reported in:</p> <ul> <li>van der Zanden, J., van der A, D.A., Cáceres, I., Eltard Larsen, B., Fromant, G., Petrotta, C., Scandura, P., Li, M. (2019). Spatial and temporal distributions of turbulence under bichromatic breaking waves. Coastal Engineering, 146, 65–80. https://doi.org/10.1016/j.coastaleng.2019.01.006</li> <li>Larsen, B.E., van der A, D.A., van der Zanden, J., Ruessink, G., Fuhrman, D.R. (2020). Stabilized RANS simulation of surf zone kinematics and boundary layer processes beneath large-scale plunging waves on a breaker bar, Ocean Modelling, 155, 101705. https://doi.org/10.1016/j.ocemod.2020.101705</li> </ul>
Sea ice and wave breaking patterns during the Terra Nova Bay Polynya event on September 19, 2019, based on very high resolution satellite imagery
<p>Results of the WorldView-2 (WV2) panchromatic image analysis, described in Herman and Bradtke 2023 "Fetch-limited, strongly forced wind waves in waters with frazil and grease ice — spectral modelling and satellite observations in an Antarctic coastal polynya". The image, which cover part of the polynya in Terra Nova Bay, was taken on September 19, 2019 at 21:22 UTC. The spatial resolution of source data is 0.5 m.</p> <p>The zip file contains:</p> <ol> <li> “AOI” folder with the analyzed area outline in SHAPEFILE format</li> <li>“whitecaps” folder with breaking wave signatures (polygons) in SHAPEFILE format</li> <li>Sea ice (1) - water (2) mask in GeoTIFF format (0 means NoData)</li> </ol> <p>Data are provided in WGS 1984 / UTM Zone 58S projection (EPSG:32758)</p>
The multilayer volume-of-fluid method for multiphase flows across scales: breaking waves, microfluidics, and membrane-less electrolyzers
<p>Supplementary movies to PhD thesis <a href="https://doi.org/10.3929/ethz-b-000547518">10.3929/ethz-b-000547518</a></p>
The dataset for the submitted paper " Time Series Analysis of Normal Mode Energetics for Rossby Wave Breaking and Saturation using a Simple Barotropic Model".
<p>These files are the data of the result in the submitted paper, titled "Time Series Analysis of Normal Mode Energetics for Rossby Wave Breaking and Saturation using a Simple Barotropic Model".</p> <ul> <li>File Description</li> </ul> <p>pv13.data : Exp. 1<br> pv17.data : Exp. 2</p> <p>The raw potential vorticity (PV) data for the Exp.1 and Exp.2, respectively, used in drawing the Fig.1, 2, and the supplemental movie 1 and 2.<br> These are the grid point value files, 72 levels for the zonal direction, 30 levels for meridional direction. More details are described in the next ctl files.</p> <p> </p> <p>pv13.ctl<br> pv17.ctl</p> <p>Description files for pv13.data and pv17.data. This will be called from grads_pv13.gs and grads_pv17.data, respectively.</p> <p>grads_pv13.gs<br> grads_pv17.gs</p> <p>GrADS script for mapping the PV.</p> <p> </p> <p>energy17.txt : Exp.2</p> <p>The time series table of energy values for exp.2.<br> One raw is identified by combination of the TIME in the experiment and zonal wave number N.</p>
The statistical data of bubbles during the rising stage in plunging wave breaking, along with the associated processing programs
<p>During plunging wave breaking, a significant number of multi-scale bubbles emerge, which can persist for extended periods. These bubbles are accurately captured and tracked by a bubble-droplet detection program. The dataset provides detailed statistics on bubble properties, including size, velocity, and spatial distributions during the entire rising stage for three different wave slopes. </p>
The statistical data of bubbles during the rising stage in plunging wave breaking, along with the associated processing programs
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Idealized wave data in support of Directional Breaking Kinematics Observations from 3D Stereo Reconstruction of Ocean Waves
<p>You will find the WaveWatchIII data output from idealized solutions of Romero 2019, ST4 and ST6</p> <p>Data are in Netcdf format and include metadata.</p> <p>Each file corresponds to a duration-limited solution with constant wind speed of 13 m/s</p>
FOCI model output used in the study by Ivanciu et al. - On the ridging of the South Atlantic Anticyclone over South Africa: the impact of Rossby wave breaking and of climate change
<p>This dataset contains the model output used in the analysis presented in the study by Ivanciu et al., 2022 - On the ridging of the South Atlantic Anticyclone over South Africa: the impact of Rossby wave breaking and of climate change. Four ensembles of three simulations each were performed with the global coupled climate model FOCI (Flexible Ocean and Climate Infrastructure, Matthes et al., 2020). Details about the ensembles can be found in the above-mentioned publication. The files containing "past" in their name belong to the ensemble "PAST", the files containing "future" in their name belong to the ensemble "FUTURE", the files containing "future_GHG" in their name belong to the ensemble "GHG" and the files containing "future_Ozone" in their name belong to the ensemble "OZONE" from the publication.</p>
Data from : Measuring nearshore waves at break point in 4D with Stereo-GoPro photogrammetry
<p>This dataset was collected with a stereophotogrammetric method, using a cost-effective stereo system composed of two GoProTM (Hero 7) video cameras.</p> <p>The result is a geotiff DEM time series, with a resolution of 0.2 m, focusing on close-range measurements of nearshore waves at break point.</p> <p>Data collected in the framework of the WEST project (Natural Breaking WavEs and Sediment Transport during beach recovery - ANR-20-CE01-009) granted by the Agence Nationale pour la Recherche (ANR).</p>
Outputs of numerical simulation of irregular waves propagating over an idealized shoal under non-breaking conditions
<p>This dataset contains bathymetry files (.txt) and outputs files (.mat) of numerical simulation of irregular waves propagating over an idealized shoal under non-breaking conditions, conducted with SWASH model. The spatial and temporal resolution are 0.5 m and 0.1 s, respectively.</p>
Simulation datasets for: Intense surface winds from gravity wave breaking in simulations of a destructive macroburst
<p>Shortly after 0600 UTC (midnight local time) 9 June 2020, a convective line produced severe winds across parts of northeast Colorado that caused extensive damage, especially in the town of Akron. High-resolution observations showed gusts exceeding 50 m s<sup>−1</sup>, accompanied by extremely large pressure fluctuations, including a 5-hPa pressure surge in 19 s immediately following the strongest winds and a 15-hPa pressure drop in the following 3 min. Numerical simulations of this event (using the WRF Model) and with horizontally homogeneous initial conditions (using Cloud Model 1) reveal that the severe winds in this event were associated with gravity wave dynamics. In a very stable postfrontal environment, elevated convection initiated and led to a long-lived gravity wave. Strong low-level vertical wind shear supported the amplification and eventual breaking of this wave, resulting in at least two sequential strong downbursts. This wave-breaking mechanism is different from the usual downburst mechanism associated with negative buoyancy resulting from latent cooling. The model output reproduces key features of the high-resolution observations, including similar convective structures, large temperature and pressure fluctuations, and intense near-surface wind speeds. The findings of this study reveal a series of previously unexplored mesoscale and storm-scale processes that can result in destructive winds.</p> <p><strong>Significance Statement </strong></p> <p>Downbursts of intense wind can produce significant damage, as was the case on 9 June 2020 in Akron, Colorado. Past research on downbursts has shown that they occur when raindrops, graupel, and hail in thunderstorms evaporate and melt, cooling the air and causing it to sink rapidly. In this research, we used numerical models of the atmosphere, along with high-resolution observations, to show that the Akron downburst was different. Unlike typical lines of thunderstorms, those responsible for the Akron macroburst produced a wave in the atmosphere, which broke, resulting in rapidly sinking air and severe surface winds.</p>
Dataset and supporting materials of "Numerical simulation of orographic gravity waves observed over Syowa Station. Part 1: Wave propagation and breaking in the troposphere and lower stratosphere" by Kohma et al.
<p>Dataset and supporting materials of "Numerical simulation of orographic gravity waves observed over Syowa Station. Part 1: Wave propagation and breaking in the troposphere and lower stratosphere" by Kohma, M., K. Sato, D. C. Fritts, & T. S. Lund.</p>
Simulation datasets for: Intense surface winds from gravity wave breaking in simulations of a destructive macroburst
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Statistics of bubble plumes generated by breaking surface waves
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Beat the heat: Movements of a cold-adapted ungulate during a record-breaking heat wave
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Record-Breaking Precipitation in Indonesia's Capital Jakarta in January 2020 Linked to the Northerly Surge, Equatorial Waves, and MJO
<p>Collection of the dataset used in "Record-Breaking Precipitation in Indonesia's capital Jakarta in January 2020 Linked to the Northerly Surge, Equatorial Waves, and MJO" research letter [<a href="https://doi.org/10.1029/2022GL101513">https://doi.org/10.1029/2022GL101513</a>]. The file consisted of rain gauges, radar reflectivity, atmospheric reanalysis model, blackbody temperature of clouds, bandpass filtered data, HYSPLIT backward trajectory data, and other supplement data.</p>
Additional data for "Record-Breaking Precipitation in Indonesia's Capital of Jakarta in Early January 2020 Linked to the Northerly Surge, Equatorial Waves, and MJO" containing Cross Equatorial Northerly Surge record data
<p>Data containing the record of the daily amplitude of active Cross Equatorial Northerly Surge events on December, January, and February of 1979 to 2021. This amplitude was calculated based on the ERA5 reanalysis dataset. The rules for recording an event with the next event separated by a minimum of 1 day interval of amplitude below the threeshold.</p>
Draft-Laboratory observation of turbulence and wave shear stresses under large scale breaking waves over a mild slope
<p>figures with PNG format and dataset for generation of plots</p>
Break Wave(TM) Extracorporeal Lithotripter First-in-Human Study
ClinicalTrials.gov study NCT03811171. IPD Sharing: NO. Countries: 2. Publications: 5.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.