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70 results for “Large Eddy Simulations”
Diagnosing nonlocal effects and coherent structure scales in moist convection using a large-eddy simulation
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DATA for Evaluating Scale-Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large-Eddy Simulations
<p>data.xlsx has the data to make Figs.1-4</p> <p> </p>
Shallow Convection Datasets Simulated by Different Large Eddy Models
<p>The datasets contain four shallow convection cases (RICO, BOMEX, ATEX, and ARM-SGP) simulated by three large eddy models (SAM, WRF, UCLA-LES). For each convection case, there are nineteen two-dimensional variables, including winds, temperature, and humidity. Three types of plumes are provided, i.e., convective core refers to rising plumes that have positive buoyancy and contain condensed water, and convective updraft defined as plumes containing liquid water and upward vertical velocity, and cloud defined as grid points containing liquid water. Conditionally sampled variables such as in-cloud temperature, moisture and vertical velocity are also provided, which are indispensable for calculating entrainment rate. These datasets will be used as a reference to help users verify and improve parameterization schemes of shallow convection.</p> <p>Table 2 List of the LES output variables</p> <table align="center"> <tbody> <tr> <td> <p>Variable</p> </td> <td> <p>Long name</p> </td> <td> <p>Unit</p> </td> </tr> <tr> <td> <p>U</p> </td> <td> <p>Zonal wind</p> </td> <td> <p>m/s</p> </td> </tr> <tr> <td> <p>V</p> </td> <td> <p>Meridional wind</p> </td> <td> <p>m/s</p> </td> </tr> <tr> <td> <p>W</p> </td> <td> <p>Vertical velocity</p> </td> <td> <p>m/s</p> </td> </tr> <tr> <td> <p>W2</p> </td> <td> <p>Variance of vertical velocity</p> </td> <td> <p>m<sup>2</sup>/s<sup>2</sup></p> </td> </tr> <tr> <td> <p>QT</p> </td> <td> <p>Total water</p> </td> <td> <p>g/kg</p> </td> </tr> <tr> <td> <p>QV</p> </td> <td> <p>Water vapor</p> </td> <td> <p>g/kg</p> </td> </tr> <tr> <td> <p>QC</p> </td> <td> <p>Cloud condensate</p> </td> <td> <p>g/kg</p> </td> </tr> <tr> <td> <p>P</p> </td> <td> <p>Pressure</p> </td> <td> <p>hPa</p> </td> </tr> <tr> <td> <p>Z</p> </td> <td> <p>Height</p> </td> <td> <p>m</p> </td> </tr> <tr> <td> <p>A_cor</p> </td> <td> <p>Core fraction</p> </td> <td> <p>100%</p> </td> </tr> <tr> <td> <p>A_upd</p> </td> <td> <p>Updraft fraction</p> </td> <td> <p>100%</p> </td> </tr> <tr> <td> <p>A_cld</p> </td> <td> <p>Cloud fraction</p> </td> <td> <p>100%</p> </td> </tr> <tr> <td> <p>QT_cor</p> </td> <td> <p>Mean qt in core</p> </td> <td> <p>g/kg</p> </td> </tr> <tr> <td> <p>QT_upd</p> </td> <td> <p>Mean qt in updraft</p> </td> <td> <p>g/kg</p> </td> </tr> <tr> <td> <p>QT_cld</p> </td> <td> <p>Mean qt in cloud</p> </td> <td> <p>g/kg</p> </td> </tr> <tr> <td> <p>W_cor</p> </td> <td> <p>Mean w in core</p> </td> <td> <p>m/s</p> </td> </tr> <tr> <td> <p>W_upd</p> </td> <td> <p>Mean w in updraft</p> </td> <td> <p>m/s</p> </td> </tr> <tr> <td> <p>W_cld</p> </td> <td> <p>Mean w in cloud</p> </td> <td> <p>m/s</p> </td> </tr> <tr> <td> <p>QTFLUX</p> </td> <td> <p>Total water flux</p> </td> <td> <p>W/m<sup>2</sup></p> </td> </tr> </tbody> </table>
Supporting data of "Wall-resolved large eddy simulation of mixed-size sand-laden flow"
<p>Supporting data of "Wall-resolved large eddy simulation of mixed-size sand-laden flow"</p>
Large-eddy simulation model data for article Study of surface layer characteristics in the presence of suspended snow particles using observational data and large-eddy simulation
<p>Large-eddy simulation model data [8. Mortikov E.V., Glazunov A.V., <br> Lykosov V.N. Numerical study of plane Couette flow: <br> turbulence statistics and the structure of pressure-strain correlations <br> // Russ. J. Numer. Analysis Math. Model. 2019. V. 34. № 2. P. 119–132.]<br> The setup of experiments was based<br> on the GABLS-1. The height, width and length of the domain was 4000 m<br> with spatial resolution of 11.7m. U18, U16 - geostrophic wind 18 and 16 m/s,<br> CR - cooling rate 0K/h, 1K/h, 2K/h.<br> Two series of experiments were performed: “NS“ and “SS“.<br> In the experiment “NS“ the surface layer was described according to the<br> Monin-Obukhov similarity theory. The experiments “SS“<br> utilized the parameterization, which takes into account the effect<br> snow particles.</p>
Mobile flux plane dataset for the paper Evaluating the Mobile Flux Plane (MFP) Method to Estimate Methane Emissions using Large Eddy Simulations (LES)"
<p>This dataset contains the mobile flux planes generated from the WRF-LES simulations at the sampling distances of 10m, 20m, 30m, 40m, 50m, 75m, 100m, 125m, and 150m downwind of different well pads. Each flux plane is 400 m long and 1 km high with 81 vertical levels. </p>
High resolution simulation plume data for Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response
<p>This record contains data files of concentrations of an inert plume tracer variable used in analysis and figures for the manuscript "Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response." Additional directories mentioned in this description can be found by unzipping the "Dataset.tar.gz" file contained in the complementary record <a href="10.5281/zenodo.10278558">10.5281/zenodo.10278558 </a>.</p><p>To recreate the figures of the manuscript, unzip the file "plumes.tar.gz" inside the directory "Sim_3". This file contains results from simulations using the PINACLES model. Unzip the file "UW_data.tar.gz" file inside inside the "Clean_Scripts" directory. This file contains results from simulations using the SAM-UW model.</p><p> </p>
Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control
<p>Dataset of the paper "Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control" published on Wind Energy Science [1].</p> <p>[1] Lin, M., & Porté-Agel, F. (2022). Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control. <em>Wind Energy Science Discussions</em>, 1-22.</p>
Large-eddy simulation of turbulent oscillatory flow over three-dimensional transient vortex ripple geometries in quasi-equilibrium
<p>dataset for figures of 'Large-eddy simulation of turbulent oscillatory flow over three-dimensional transient vortex ripple geometries in quasi-equilibrium'</p>
Development of a Data Assimilation Method Using Vibration Equation for Large-Eddy Simulations of Turbulent Boundary Layer Flows
<p>The dataset shown in the following manuscript is made.</p> <p>Development of a Data Assimilation Method Using Vibration Equation for Large-Eddy Simulations of Turbulent Boundary Layer Flows</p>
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