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161 results for “Numerical Simulation”
Full-field numerical simulations of temperate ice viscoplastic deformation and dynamic recrystallization [Data set]
<p>This data set corresponds to the scientific article Llorens, M.-G., Griera, A., Bons, P.D., Gomez-Rivas, E., Weikusat, I., Prior, D., Kerch, J. and Lebensohn, R.A. Seismic anisotropy of temperate ice in polar ice sheets. Journal of Geophysical Research: Earth Surface.</p> <p>This data set contains (i) the output files with the crystal orientation and phase data of each simulation presented in the article (run using the open-source software platform ELLE; Bons et al., 2008; Piazolo et al., 2019), and (ii) a code to plot the crystallographic orientation density function (ODF) using the open-source code MTEX (Mainprice et al., 2015). For the visualization of seismic wave velocities the information contained in these output files can be loaded (in radians) to the software package AEH-EBSD Analysis Toolbox (Naus-Thijseen, 2011; Vel et al., 2016). The output files are provided for time steps 50 (shear strain of 1), 100 (shear strain of 2), 200 (shear strain of 4), 300 (shear strain of 6) and 400 (shear strain of 8).</p> <p>Each file has eight columns and multiple rows. Each row stores the output data for an unode of the model, and the model has 256x256 unodes. The first three columns correspond to the three Euler angles (<em>α</em>, <em>β</em>, <em>γ</em>) in degrees, the fourth and fifth column are the <em>x</em> and <em>y</em> coordinates of each unode, the sixth and seventh columns contain attributes not used in these simulations and column eight shows the phase number corresponding to each unode (1 for solid ice and 2 for water).</p> <p>Three simulations are presented and analyzed in this article, and thus their results stored in this data set:</p> <p>Simulation 1: purely solid ice (melt fraction <em>ϕ</em>=0)</p> <p>Simulation 2: ice including 5% water (melt fraction <em>ϕ</em>=5)</p> <p>Simulation 3: ice including 15% water (melt fraction <em>ϕ</em>=15)</p>
Falling balls in a viscous fluid with contact: Comparing numerical simulations with experimental data
<p>The full results of the numerical computations and the source code for the rigid-body ALE and rigid-body CutFEM discretisations as presented in "H. von Wahl, T. Richter, S. Frei and T. Hagemeier. ‘Falling balls in a viscous fluid with contact: Comparing numerical simulations with experimental data’. In: <em>Phys. Fluids </em>33.3, 033304 (2nd Mar. 2021). doi: <a href="http://10.1063/5.0037971">10.1063/5.0037971</a>. <a href="https://arxiv.org/abs/2011.08691">arXiv:2011.08691</a> [physics.flu-dyn]".</p>
Dataset of paper "Comparison of radiant intensity in aqueous media using experimental and numerical simulation techniques"
<p>Dataset of paper "<strong>Comparison of radiant intensity in aqueous media using experimental and numerical simulation techniques</strong>":</p><ul><li>Relative spectral intensity for each light source as recorded by ILT RAA4 spectroradiometer.</li><li>Material and optical properties of the quartz tube.</li><li>Wavelength specific refractive index and quantum yield in water.</li><li>Ray tracing data vs experimental data (FX-1 265).</li><li>Plot of peak intensity vs working distance (in air) and Comparison between radiometry and ray tracing in the presence of a quartz tube in front of the light source for FX-1 265.</li><li>Recorded peak intensity at multiple working distances using radiometry and ray tracing.</li><li>Comparison between average light loss at multiple distances in radiometry, ray tracing and transmission curve due to quartz material and Plot of percentage light loss for all wavelengths at multiple working distances due to quartz material.</li><li>Data on loss of intensity in comparison with the transmission curve.</li><li>Recorded peak intensity at multiple working distances between simulation tools.</li><li>Comparison between ray tracing, DOM and radiometry for FX-1 265, Uniformity plot obtained from radiometry, ray tracing interface and DOM.</li><li>Data on comparison between actinometry measurements and ray tracing.</li><li>Plot of intensity with wavelength between the two techniques.</li><li>Comparison between measured intensity in air and water medium for FX-1 265.</li><li>Plot of change in peak intensity as light propagates through the quartz tube within the UV fixture at multiple working distances for FX-1 265.</li><li>Simulated intensity in water at different points within the tube.</li></ul><p> </p>
Data and scripts for the submission "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models"
<p>Dataset and scripts used to generate Figures for "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models", submitted to the <strong><em>Journal of Advances in Modeling Earth Systems</em></strong> (JAMES).</p> <p>Scripts: Python and NCL</p> <p>Data: Netcdf, PNG, Python pickled objects</p>
Supplement to the article "Simulation of marine stratocumulus using the super-droplet method: Numerical convergence and comparison to a double-moment bulk scheme"
<p>This is a supplement to the article "Simulation of marine stratocumulus using the super-droplet method: Numerical convergence and comparison to a double-moment bulk scheme".</p> <p>The time evolution of horizontal distribution of LWP:</p> <ul> <li>SDM_lwp_2d_sdm.mp4: from nine SDM runs with different grid resolutions.</li> <li>SN14_lwp_2d_sn14.mp4: from nine SN14 runs with different grid resolutions.</li> </ul> <p>The time evolution of vertical profiles:</p> <ul> <li>sdm_profile_t.mp4: from nine SDM runs with different grid resolutions.</li> <li>sn14_profile_t.mp4: from nine SN14 runs with different grid resolutions.</li> <li>sdm_incloud_t.mp4: vertical profiles in cloudy areas and cloud holes in SDM runs.</li> <li>sn14_incloud_t.mp4: vertical profiles in cloudy areas and cloud holes in SN14 runs.</li> <li>sdm_50x5_incloud_t.mp4: comparison between original SDM and SDM without sedimentation.</li> </ul>
Dataset of velocity and density fields from numerical simulations
<p>This dataset contains the outcomes of numerical simulations conducted for a research paper titled "Transformation of internal solitary waves at the edge of ice cover" with the use a non-hydrostatic model (Maderich et al., 2012) and code of the non-hydrostatic model. <br>Folder FIG3 contains a *.zip archive with data corresponding to the following parameters: x-coordinate length (m), z-coordinate depth (m) and module of horizontal velocity field (m/s). Folders FIG4 and FIG6 within the archive contain information on the following parameters: x-coordinate length (m), z-coordinate depth (m) and density field (kg/m^3).<br>Folder MODEL contains fortran source code files, input files, and a short model description.</p>
Thermal coupling mode in mantle-outer core convection predicted from an ultra-high-resolution numerical simulation of two-layer convection with a large viscosity contrast
<p>Movie of temperature and velocity fields in the highly viscous layer (HVL) and the low-viscosity layer (LVL) (left panels) and the close-up views focusing on the interior of the LVL (right panels). The viscosity contrast between the HVL and LVL is 10<sup>4</sup>.</p>
Data from: Numerical modelling of bridges in 2D shallow water flow simulations
<p>This repository includes the experimental dataset colleted in the Hydraulics Laboratory of the University of Zaragoza in 2014.</p> <p>The experiments were carried out with different bridge configurations in a straight flume for both steady and transient flow regimes.</p> <p>The data were published originally in:</p> <p>Ratia, H., Murillo, J. and García-Navarro, P. (2014), Numerical modelling of bridges in 2D shallow water flow simulations. Int. J. Numer. Meth. Fluids 75, pp. 250-272. <a href="https://doi.org/10.1002/fld.3892">https://doi.org/10.1002/fld.3892</a></p> <p>This dataset has been made available online to the research community thanks to the support of the project PID2022-137334NB-I00 funded by MCIN/AEI/10.13039/<br>501100011033 and by “ERDF/EU”.</p>
Numerical dataset for quantum trajectory simulations of a dissipative qubit under continuous measurement and feedback
<p>The data consist of numerical results obtained from quantum trajectory simulations of a dissipative qubit under continuous measurement and feedback.</p> <p>These data are used in the preprint titled <em>"Heat current and fluctuations between a dissipative qubit and a monitor under continuous measurement and feedback."</em></p> <p>We performed numerical simulations of the stochastic master equation using the supercomputer at ISSP.</p> <p>The contents are as follows:</p> <ul> <li>Numerical results for the correlation functions (<code>F*.dat</code>).</li> <li>Numerical results for the Fano factor and the power spectrum (<code>fano_factor*.dat</code>).</li> <li>Python code to calculate the Fano factor and the power spectrum from the correlation functions (<code>fano_factor_v6.py</code>).</li> <li>Figures illustrating the Fano factor and the power spectrum (<code>fig*.eps</code>).</li> </ul>
Numerical simulation of groundwater flow in backfilled open-pits for BDZ deviation performance
<p>This dataset contains simulated groundwater flow entering multiple backfilled open-pits with mine wastes (flowrate results) and some Python script to visualize the data.<br> The objective was to predict the blast damage zone (BDZ) created by mine excavation on the flowrate through the backfilled wastes.<br> Flowrates were obtained by 3D numerical simulation using PFLOTRAN finite volume code (www.pflotran.org).<br> Conceptual model of the BDZ and equivalent permeability was derived from Rousseau and Pabst (in press) and Mourzencko et al. (2012) (see https://hal.archives-ouvertes.fr/hal-01196684/file/mourzenko2012.pdf).<br> Number of cases simulated: 40500, with 40496 converged numerical simulations.<br> Calculated were performed using the High Performance Computing Ressource of Calcul Quebec (www.calculquebec.ca/) and Compute Canada (www.computecanada.ca/)</p>
Numerical simulations of singular radiative fields in scattering media with refraction
<p>Monte-Carlo radiative transport simulation results along with the source code and auxiliary software</p>
Numerical simulations of Apollo S-IVB artificial impacts on the Moon
<p>Data set used in producing plots and data analysis in the paper Numerical simulations of Apollo S-IVB artificial impacts on the Moon, submitted to the ESS.</p> <p>Includes also input files for running simulations described in the paper.</p>
Dataset for "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange"
<p>This dataset contains the sediment models, DNS flow field data, subsurface path data, and calculated transit time distributions for both the regular- and random-interface cases used in the paper: "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange" by Guangchen Shen, Junlin Yuan, and Mantha S. Phanikumar (Submitted to Water Resources Research). <br> Detailed introduction of each data file is as follows.</p> <p>1. DNS flow field data</p> <p>Flowfield_Reg.h5 and Flowfield_Ran.h5 contains the following fields for the regular and random cases, respectively. 'ni', 'nj', 'nk' are the numbers of grid points along x, y, and z directions. 'xc', 'yc', 'zc' are the cell center locations. 'u3d','v3d','w3d' are the three-dimensional time-averaged velocities at each grid point. 'vof' is the volume-of-fluid field used by the immersed-boundary method to prescribe the fluid-solid interface (vof=1 in fluid and 0 in solid), at each grid point. 'vof' contains the information of sediment grain distribution and bed roughness geometry. Only the subsurface data (those below the sediment crest) are shared due to dataset size limit.</p> <p>2. Particle-tracked subsurface flow paths and corresponding transit time distributions</p> <p>The mat files “xxx_pathline” store the (x,y,z) location of each point (saved as 'StrX', 'StrY, 'StrZ') along the subsurface paths, discretized by uniform steps of travel time (with time intervals of 0.1 for 'A' and 0.01 for 'MD' cases, normalized by channel height and friction velocity). The files “xxx_TT” store the array of transit times corresponding to the tracked paths, where the 1d array T is the transit time. 'A' denotes calculations based on time-mean advection only, while 'MD' denotes calculations accounting for additional molecular diffusion. 'Interface' and '3DiameterBelow' indicate that the particles were released at the interface and -3 D below the interface, respectively.</p>
Core-mantle boundary topography data from numerical simulation of instantaneous mantle flow
<p>Calculated CMB topography data for models (a) H0, (b) H0D1, (c) H4, (d) H4P3, (e) H4P6, (f) H4P3D1, (g) H4P3W, and (h) H4P3D1W. Negative (positive) values indicate topographic depression (elevation). See Figure 2 of Yoshida (2008).</p>
Code for APJAS publication - Numerical errors in ice microphysics parameterizations and their effects on simulated regional climate
<p>In this repository, we include the source codes for WRF microphysics parameterization used in the APJAS publication "Numerical errors in ice microphysics parameterizations and their effects on simulated regional climate"</p> <p>There are three WDM6 codes for simulations. The original WDM6 code (ORG) using parameter defined by Hong et al (2004), the revised WDM6 code (NEW) those revised by removing the numerical errors, and the additional WDM6 code (SEN) for sensitivity experiment adopting the column-shaped parameters.</p> <p>In supplement, several cloud-ice characteristics presented in the paper were induced in detail and compared with Hong et al (2004) and this study.</p>
Numerical simulation results of debris flow under different condition in Chutou gully
<p>We release four datasets that reflect the numerical simulation results of debris flow with a recurrence period of 100 years under different check dam conditions, including with and without check dams and the check dam breakage. The simulation parameters and topography were taken from the Chutou gully, Miansi Town, Wenchuan County, Sichuan Province, Southwestern China. The first dataset indicates the final flow depth distribution under the check dam breakage. The second dataset indicates the final flow depth distribution with check dams. The third dataset indicates the final flow depth distribution without check dams. The fourth dataset indicates the flow velocity evolution at different locations, columns A, E, I and M refer to different times, the rest refer to the flow velocity at different locations at corresponding times. The datasets can be used to analyse the effect of the check dam on debris flows or deposit evolution. The first three datasets can be viewed or edited through the ArcGIS software; the last dataset be viewed or edited through the Excel software.</p>
Numerical Simulations on Unconventional Surface Charging within Deep Cavities in the Solar Wind Plasma.
<p>Numerical simulation data presented in Nakazono and Miyake (2022): Unconventional Surface Charging within Deep Cavities in the Solar Wind Plasma. The format of the dataset is described in the PDF document (2022JA_supporting_information.pdf).</p>
numerical data to accompany "Strong asymmetry in near-fault ground velocity during an oblique strike-slip earthquake revealed by waveform particle motions and dynamic rupture simulations"
<p>This is the numerical data to accompany the paper "Strong asymmetry in near-fault ground velocity during an oblique strike-slip earthquake revealed by waveform particle motions and dynamic rupture simulations". Please refer to the README.txt file for information about the individual datasets and archive files. </p>
Mixed Precision Optimization Method acceleration time and numerical simulation results
<p>The stored data are the speedup ratios of the MPFlow method and other acceleration algorithms, as well as the elastic wave response data obtained by numerical simulation using the MPFlow method.</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>
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