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49 results for “Wave model data”
The second data release from the European Pulsar Timing Array II. Customised pulsar noise models for spatially correlated gravitational waves
<p>Aims: The nanohertz gravitational wave background (GWB) is expected to be an aggregate signal of an ensemble of gravitational waves emitted predominantly by a large population of coalescing supermassive black hole binaries in the centres of merging galaxies. Pulsar tiNanohertz ming arrays (PTAs), which are ensembles of extremely stable pulsars at approximately kiloparsec distances precisely monitored for decades, are the most precise experiments capable of detecting this background. However, the subtle imprints that the GWB induces on pulsar timing data are obscured by many sources of noise that occur on various timescales. These must be carefully modelled and mitigated to increase the sensitivity to the background signal. Methods: In this paper, we present a novel technique to estimate the optimal number of frequency coefficients for modelling achromatic and chromatic noise, while selecting the preferred set of noise models to use for each pulsar. We also incorporated a new model to fit for scattering variations in the Bayesian pulsar timing package temponest. These customised noise models enable a more robust characterisation of single-pulsar noise. We developed a software package based on tempo2 to create realistic simulations of European Pulsar Timing Array (EPTA) datasets that allowed us to test the efficacy of our noise modelling algorithms. Results: Using these techniques, we present an in-depth analysis of the noise properties of 25 millisecond pulsars (MSPs) that form the second data release (DR2) of the EPTA and investigate the effect of incorporating low-frequency data from the Indian Pulsar Timing Array collaboration for a common sample of ten MSPs. We used two packages, enterprise and temponest, to estimate our noise models and compare them with those reported using EPTA DR1. We find that, while in some pulsars we can successfully disentangle chromatic from achromatic noise owing to the wider frequency coverage in DR2, in others the noise models evolve in a much more complicated way. We also find evidence of long-term scattering variations in PSR J1600-3053. Through our simulations, we identify intrinsic biases in our current noise analysis techniques and discuss their effect on GWB searches. The analysis and results discussed in this article directly help to improve the sensitivity to the GWB signal and they are already being used as part of global PTA efforts.</p>
Data from: 3D shear-wave velocity model of central Makran using ambient-noise adjoint tomography
<p>The Makran subduction zone is unique in its wide onshore thick accretionary prism, and a volcanic arc not parallel to the E-W trend of the Makran accretionary prism. To investigate the internal structure of the accretionary prism, the crustal nature of Jaz Murian Depression, and the trend of the buried trench we have calculated a 3D shear-wave velocity model for a region around the border between eastern and western Makran using ambient-noise adjoint tomography and data from IASBS/CAM Makran temporary seismic network. In close agreement with previous works, our velocity model shows that the onshore accretionary prism consists of a low-velocity zone in the south and a high-velocity zone in the north with an average thickness of accreted sediments of 22 and 30 km, respectively. The young age of the surface rocks of the high-velocity part of the prism suggests the presence of a significant volume of igneous rocks scraped from the subducting oceanic slab. The velocity model indicates a continental crust of ~40 km with a thick sedimentary cover of ~20 km for the eastern part of Jaz Murian Depression. The presence of a NE-SW trending low-velocity region at a depth interval of 40-60 km subparallel with the trend of the volcanic arc, intermediate-depth earthquakes, and geometry of the overriding plate might be related to the trend of the buried trench. This implies that the observed NE-SW trending volcanic arc might be related to the geometry of the buried trench and not the eastward reduction of the subduction angle.</p>
Data accompanying the publication: Measurements and modelling of pore-pressure gradients in the swash zone under large-scale laboratory bichromatic waves
<p>Data accompanying the publication: Measurements and modelling of pore-pressure gradients in the swash zone under large-scale laboratory bichromatic waves. See the README.txt file for more detail.</p>
Data and Code Supplement for "A Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models"
<p>Code and Data Supplement for "A Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models"<br> ===========================================================</p> <p>This directory contains the data and scripts used to create the plots from our publication as well as the source<br> code modifications necessary to run this test case within the CESM and MPAS models.</p> <p>Generating Plots<br> ---------------</p> <p>The `netcdf` directory contains the nominal half-degree runs necessary to generate nearly all of the plots from the paper. The one plot which is not reproducible from these data is the volume-integrated Eddy Kinetic Energy in the Spectral Element model. Storing high-resolution 4D wind fields requires a prohibitive amount of space. These data can be provided by the corresponding author, O.K. Hughes (owhughes@umich.edu). However, because this is several hundred GB of data I would strongly recommend generating these high-resolution runs yourself on your local system if you need them. Using 288 Intel Skylake cores (that is, 8 nodes each with two 18C processors) ran on the order of an hour.</p> <p><em>In order to generate the plots from the paper, you need only install NCL and then run</em> run.bash. Instructions for installing NCL<br> can be found in the `run.bash` script.</p> <p>Source Code Modifications<br> ----------------</p> <p><strong>CESM</strong><br> The `src` subdirectory contains the files `user_nl_cam` and `ic_baroclinic.F90`. Create a case using `--compset=FKESSLER` and `--run-unsupported` options when running `create_newcase`. If your case is located at `${CASE_DIR}`, then from within the directory containing this README, run `cp user_nl_cam ${CASE_DIR}/user_nl_cam`, and then run `cp ic_baroclinic.F90 ${CASE_DIR}/SourceMods/src.cam/`. Then build and run the model using the usual workflow.</p> <p><strong>MPAS</strong></p> <p>The MPAS code was run using a branch of the MPAS model provided by the model developers to the authors. While the source code modifications are provided in the `src` directory, I would strongly recommend contacting the corresponding author if you wish to run this test case in the MPAS codebase.</p>
Data from: 3D shear-wave velocity model of central Makran using ambient-noise adjoint tomography
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Data for: Ensemble-based data assimilation of significant wave height from Sofar Spotters and satellite altimeters with a global operational wave model
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Data from: Dynamic models for impact-initiated stress waves through snow columns
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Data for GRL Article "Resolved Convection Improves the Representation of Equatorial Waves and Tropical Rainfall Variability in a Global Nonhydrostatic Model"
This repository contains mandatory material to reproduce the results of the GRL article "Resolved Convection Improves the Representation of Equatorial Waves and Tropical Rainfall Variability in a Global Nonhydrostatic Model" [Paper #2021GL093265RR].
Data and Codes of the Research 《An Analytical Spectral Model for Infragravity Waves over Topography in Intermediate and Shallow Water》
<p>This is the dataset and codes prepared for the submission of the research in the title.</p> <p>Please run the script Main.m directly after unzipping the package. For a detailed guidance of how to use it, please see the Guide.html in the UserGuide folder.</p>
Data for "Machine Learning Parameterization of Subgrid-Scale Orographic Gravity Wave Drag in a Middle-Atmosphere General Circulation Model" by Lu et al., submitted to JAMES, 2022.
<p>The NetCDF data file involving the decision tree strucutre attributes of the random forest emulator.</p> <p>gcm_regressors/<br> The data file involving the decision tree strucutre attributes (in NetCDF format)</p>
Data for figures in Model predictions of wave overwash extent into the marginal ice zone
<p>The data required to reproduce the figures in 'Model predictions of wave overwash extent into the marginal ice zone'.</p> <p>The data includes:</p> <ul> <li>Coefficient values produced by coupled floe-wave motions, required to determine overwash of a single floe and thus the overwash extent model.</li> <li>The data for the transects used to predict overwash in Figure 11 (Agulhas II), includes wave conditions and the ice concentration along the transect (other floe field properties remains constant).</li> </ul> <p>The code is uploaded at - </p> <pre>https://doi.org/10.5281/zenodo.7059554</pre>
Supporting data - The Met Office operational wave forecasting system: the evolution of the Regional and Global models
<p>Supporting data for the GMD draft paper "The Met Office operational wave forecasting system: the evolution of the Regional and Global models" (© Crown copyright Met Office):</p> <p>1) idealised_sensitivity_resolution.tar.gz: idealised experiment folders with grid and model definition files needed to run the experiments; and output .nc files used in analysis. </p> <p>2) analysis_MO_waves_system.tar.gz: folders for GS512L4EUK-AN and AMM15SL2-AN runs with 2-year model-observations matchup .nc files used in figures and analysis.</p> <p>3) forecast_MO_waves_system.tar.gz: folders for GS512L4EUK-FCST and AMM15SL2-FCST runs during summer (#-s) and winter (#-w) with model-observations matchup .nc files used in figures and analysis.</p>
Data Files for P. Mai et al., "Fluctuating charge-density-wave correlations in the three-band Hubbard model" (2024)
<p>These are the data for P. Mai et al., "Fluctuating charge-density-wave correlations in the three-band Hubbard model" (2024)</p> <p>arXiv reference: https://arxiv.org/abs/2405.13164</p> <p>This work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Award Number DE-SC0022311. This research used resources of the Oak Ridge Leadership Computing Facility, a DOE Office of Science User Facility supported under Contract No. DE-AC05-00OR22725.</p>
Data Supporting Dissipation Scaled Internal Wave Drag in a Global Heterogeneously Coupled Internal/External Mode Total Water Level Model
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Lidar and model data for manuscript submitted to GRL "First Simultaneous Observation of Secondary and Tertiary Gravity Waves by Lidar and Investigation with HIAMCM simulations"
<p>This dataset contains the lidar and model data used in the manuscript submitted GRL titlled '<strong>First Simultaneous Observation of Secondary and Tertiary Gravity Waves by Lidar and Investigation with HIAMCM simulations'</strong></p>
Data files for Peizhi Mai et al., "Robust charge-density wave correlations in the electron-doped single-band Hubbard model" (2023)
<p>Data files for "Robust charge-density wave correlations in the electron-doped single-band Hubbard model" by P. Mai, N. S. Nichols, S. Karakuzu, F. Bao, A Del Maestro, T. A. Maier, and Steven Johnston</p> <p>Preprint: https://arxiv.org/abs/2210.14930</p>
A model of the subpacket structure of rising tone chorus emissions - wave data
<p>This file contains the wave data obtained from simulation and used in the paper "A model of the subpacket structure of rising tone chorus emissions" submitted to JGR:Space Physics. All data are in Python Numpy binaries. Files hs.npy and ts.npy contain 1D numpy arrays of space and time coordinates of the grid covering the simulation domain. Files mus_full.npy, oms_full.npy, omws_fill.npy and phs_full.npy contain 2D numpy arrays of the refractive index, normalized wave frequency, normalized wave amplitude and wave phase, respectively. File tinds.npy gives the starting and ending points in time of each subpacket, at the spatial coordinate of the source. File input.dat contains a dictionary type data with input parameters used in the simulation.</p>
Base Data for Damped Wave Net Models in PortHamiltonianBenchmarkSystems
<p>Mat-files for default damped wave net configurations</p>
Data release: Parameterised population models of transient non-Gaussian noise in the LIGO gravitational-wave detectors
<p>This contains the data release associated to "Parameterised population models of transient non-Gaussian noise in the LIGO gravitational-wave detectors".</p> <p>We provide the figures, machine-readable json summary files associated to Tables I-IV, scripts and data products used to produce the hyperparameter inference results in this publicatioln. A "lightweight" version is provided which excludes the pickled data products. To reproduce the results, download the full tar file, unzip, enter the scripts directory, and use the Makefile commands. These results where created using bilby v1.1.3 at commit hash <a href="https://git.ligo.org/lscsoft/bilby/-/commit/63c7aacaf30d721e77599bd11f3a9fa2447915cb">63c7aaca</a>.</p>
Data for Port-Hamiltonian Heat and Wave models
<p>Data files for port-Hamiltonian heat and wave equation models</p>
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International Brain Laboratory public data
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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.