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54 results for “Rayleigh”
Dataset for "Effects of Fracture Connectivity on Rayleigh Wave Dispersion"
<p>The scripts on the main directory reproduce figures 3 to 11 in the paper. The dataset is separated into two folders which should be extracted to the directory of the scripts, frac_dist and parrot_output. frac_dist contains .mat files with the fracture distribution of samples and parrot_output contains the results from the upscaling procedure (Favino et al., 2020). A summary of each code is provided in the readme.</p>
Rayleigh Sample Outputs
<p>This zip file contains a sample Rayleigh output dataset generated by using the 'benchmark_diagnostics_input' file from the 'input_examples' directory. This is the same dataset that is needed to run the plotting example notebook Diagnostics_Plotting.ipynb, which is found in Rayleigh's post_processing directory. All data and python files necessary to run that notebook, as well as the notebook itself are contained in this zip file.</p> <p>Note that the latest release of the Rayleigh code can be found at <a href="../records/11391213">https://zenodo.org/records/11391213.</a></p> <p>Documentation can be found at <a href="https://rayleigh-documentation.readthedocs.io">https://rayleigh-documentation.readthedocs.io</a>.</p>
Rayleigh-Bénard flow in closed cubical cell
<p>The repository contains simulation snapshots from a long-term trajectory of turbulent Rayleigh-Bénard flows in a cubical closed cell at two Rayleigh numbers.</p>
ERA5 overviews complementing temperature measurements of ground-based Rayleigh lidars for the investigation of gravity waves generated by moving sources
<p>ERA5 overviews to associate stratospheric gravity waves in temperature measurements from vertically staring (zenith-pointing) ground-based Rayleigh lidars with atmospheric processes. Animations are for a virtual lidar location over the Southern Ocean during research flight RF25 of the DEEPWAVE campaign (July 17 to 19, 2014) and for the location of the COmpact Rayleigh Autonomous Lidar (CORAL) in the lee of the southern Andes. Here, the first overview is for the CORAL measurement from June 22 to 23, 2018. The second one is for the nightly measurements between August 7 and 9, 2020.</p> <p>(a) and (b) emulate the measurement of a vertically staring ground-based lidar and show temperature perturbations after subtracting a temporal running mean of 12h (a) and the mean absolute temperature profile (b). Panels (c) and (d) are vertical sections of stratospheric 𝑇′ along sectors of the latitude circle (c) and meridian (d) of the virtual lidar location. (e) and (f) are corresponding vertical sections of thermal stability 𝑁2 (10−4 s−2, color-coded), potential temperature (K, thin grey lines), and potential vorticity (1, 2, 4 PVU: black, 2 PVU: green). Thin black lines in the vertical sections are zonal (d, f) and meridional (c, e) wind components (solid: positive, dashed: negative). Panel (g) is a horizontal section of the height of the 2 PVU surface (km, color-coded), geopotential height (m, solid lines) and wind barbs at the 850 hPa level. The black vertical line in (a) marks the time for (c)-(g) and dashed lines in (c)-(g) highlight the location of the virtual lidar and profiles in (a) and (b).</p> <p>The provided NETCDF files contain the corresponding CORAL temperature measurements for the two periods with CORAL measurements in 2018 and 2020.</p>
Repository: Rayleigh-wave attenuation and phase velocity maps of the greater Alpine region from ambient noise
<p><br>Repository organized by Henrique Berger Roisenberg for the paper Roisenberg et al. (2024). The files are organized as follows:</p> <p><strong>Folders:</strong></p> <p><strong>-dispersion_curves:</strong><br>inside this folder there is a .zip file that contains all the dispersion curves calculated;</p> <p><strong>-attenuation:</strong><br>comprising three files with the results of attenuation calculations, i.e., the attenuation values, the grid, and the periods;</p> <p><strong>-c:</strong><br>comprising three files with the results of phase velocity calculations, i.e., the phase velocity values, the grid, and the periods;</p> <p><strong>-scripts: </strong><br>contains two python scripts, one called 'figures' to plot the figure 1, 4, and 6 of the paper, and another called 'alparray_computations' to perform the computations with the original alparray data, using seislib, resulting on the figures 2, 3, and 5 of the paper.</p> <p>Inside the folder '<strong>inputs</strong>' there are three folders that serve as input for the figures of the paper, to be used in the scripts. These are:</p> <p><strong>-raster: </strong><br>contains the topography raster used to plot the map of the study area;</p> <p><strong>-shapefiles:</strong><br>contains the shapefiles used in the regionalization analysis;</p> <p><strong>-station locations: </strong><br>contains the latitudes and longitudes of the stations used in this study.</p> <p> </p>
On the Rayleigh–Kuo criterion for the tertiary instability of zonal flows
<p>These are the supplementary Matlab codes that can be used to generate the data in figure 3, 4, and 6 in the manuscript "On the Rayleigh--Kuo criterion for the tertiary instability of zonal flows". The abstract of this manuscript reads as follows:</p> <p>This paper reports the stability conditions for intense zonal flows (ZFs) and the growth rate $\gamma_{\rm TI}$ of the corresponding "tertiary" instability (TI) within the generalized Hasegawa--Mima plasma model. The analytic calculation extends and revises Kuo's analysis of the mathematically similar barotropic vorticity equation for incompressible neutral fluids on a rotating sphere [H.-L. Kuo, J. Meteor. 6, 105 (1949)]; then, the results are applied to the plasma case. An error in Kuo's original result is pointed out. An explicit analytic formula for $\gamma_{\rm TI}$ is derived and compared with numerical calculations. It is shown that a ZF is TI-unstable under the Rayleigh--Kuo criterion known from geophysics plus the condition that the ZF wave number must exceed the inverse ion sound radius. For a sinusoidal ZF, these two necessary conditions combined together are also sufficient for the TI. For non-sinusoidal ZFs, the results are qualitatively consistent. As a corollary, there is no TI in the geometrical-optics limit, i.e., when the DW wavelength is small compared to the ZF scale. This also means that the traditional wave kinetic equation under the geometrical-optics assumption cannot adequately describe the ZF stability.</p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering in visible satellite imagery
<p>Look-up tables for rayleigh scattering correction of satellite imager data in the visible spectral range.</p> <p>Derived from LibRadTran simulations for various (aerosol free) standard atmospheres.</p> <p> </p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (antarctic) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (antarctic) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of rayleigh scattering and antarctic aerosol composition (Hess et al., 1998) within satelite images of channels in the visible spectral range.</p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (continental average) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (continental average) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of rayleigh scattering and continental average aerosol composition (Hess et al., 1998) within satelite images of channels in the visible spectral range.</p> <p> </p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (urban) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (urban) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of Rayleigh scattering and urban aerosol composition (Hess et al., 1998) within satellite images of channels in the visible spectral range.</p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (rural) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (rural) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of Rayleigh scattering and rural aerosol composition (Hess et al., 1998) within satellite images of channels in the visible spectral range.</p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (marine tropical) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (marine tropical) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of Rayleigh scattering and marine tropical aerosol composition (Hess et al., 1998) within satellite images of channels in the visible spectral range.</p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (marine polluted) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (marine polluted) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of Rayleigh scattering and marine polluted aerosol composition (Hess et al., 1998) within satellite images of channels in the visible spectral range.</p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (continental polluted) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (continental polluted) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of Rayleigh scattering and continental polluted aerosol composition (Hess et al., 1998) within satellite images of channels in the visible spectral range.</p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (marine clean) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (marine clean) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of Rayleigh scattering and marine clean aerosol composition (Hess et al., 1998) within satellite images of channels in the visible spectral range.</p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (continental clean) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (continental clean) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of rayleigh scattering and continental clean aerosol composition (Hess et al., 1998) within satelite images of channels in the visible spectral range.</p>
Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (desert) aerosols in visible satellite imagery
<p>Look Up Tables for removing atmospherical signal due to Rayleigh scattering and (desert) aerosols in visible satellite imagery</p> <p>LibRadTran simulations for various standard atmospheres for the correction of Rayleigh scattering and desert aerosol composition (Hess et al., 1998) within satellite images of channels in the visible spectral range.</p>
Fundamental mode Rayleigh wave group velocity dispersion data
<p>Fundamental-mode Rayleigh-wave group-velocity dispersion curves have been computed from 14706 regional waveforms (ray-paths) sampling India, Himalaya, Tibet and surrounding regions. These have been combined through ray-based travel-time tomography to compute 2D group-velocity maps at periods between 10 and 120~s. These ray-paths sample the region with unprecedented density and uniformity. The 2D maps have a lateral resolution of 3\deg x3\deg, comparable to the regional geology. The dispersion curves, at each 1\deg\ spaced node-points, are inverted to obtain a 3D isotropic shear-wave velocity structure.</p>
On the structure of the drifton phase space and its relation to the Rayleigh–Kuo criterion of the zonal-flow stability
<p>These are the supplementary data that can be used to generate figure 3, 4, and 5 in the manuscript "On the structure of the drifton phase space and its relation to the Rayleigh--Kuo criterion of the zonal-flow stability". The abstract of this manuscript reads as follows:</p> <p>The phase space of driftons (drift-wave quanta) is studied within the generalized Hasegawa--Mima collisionless-plasma model in the presence of zonal flows. This phase space is made intricate by the corrections to the drifton ray equations that were recently proposed by Parker [J. Plasma Phys. 82, 595820602 (2016)] and Ruiz et al. [Phys. Plasmas 23, 122304 (2016)]. Contrary to the traditional geometrical-optics (GO) model of the drifton dynamics, it is found that driftons can be not only trapped or passing, but they can also accumulate spatially while experiencing indefinite growth of their momenta. In particular, it is found that the Rayleigh--Kuo threshold known from geophysics corresponds to the regime when such "runaway" trajectories are the only ones possible. On one hand, this analysis helps visualize the development of the zonostrophic instability, particularly its nonlinear stage, which is studied here both analytically and through wave-kinetic simulations. On the other hand, the GO theory predicts that zonal flows above the Rayleigh--Kuo threshold can only grow; hence, the deterioration of intense zonal flows cannot be captured within a GO model. In particular, this means that the so-called tertiary instability of intense zonal flows cannot be adequately described within the quasilinear wave kinetic equation, contrary to some previous studies.</p>
Datasets of microtremor arrays and phase velocities of Rayleigh waves
<p>Observed microtremor array data / Synthetic and observed phase-velocity data used in Cho and Iwata [2018, submitted to JGR].</p>
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