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81 results for “ocean simulation”
Coupled atmosphere-wave-ocean simulation of Hurricane Dorian (2019)
<p><strong>Description</strong></p> <p>This dataset provides the output of the coupled atmosphere-wave-ocean simulation of Hurricane Dorian from August 29 to September 7, 2019. The simulation is a composite of two separate simulations:</p> <ol> <li>From 00 UTC August 29 to 00 UTC September 1, 2019</li> <li>From 00 UTC September 1 to 00 UTC September 7, 2019</li> </ol> <p>The first simulation serves as "spin-up" for the hurricane and its environment prior to landfall. The second simulation is initialized from the output of the first simulation, while relocating the Dorian vortex to its correct position on September 1. Due to the size of the dataset only the surface fields are made available.</p> <p><strong>Model configuration</strong></p> <ul> <li><strong>Atmosphere</strong>: Weather Research and Forecasting (WRF, https://github.com/wrf-model/WRF) model v4.2.2, with the Advanced Research WRF (ARW) dynamical core. The model has a 3-km resolution grid over the parent domain and a 1-km resolution nest over the Bahamas region (September 1-7 only), both with 45 vertical layers. Initial and boundary conditions are based on 6-hourly ERA-5 dataset.</li> <li><strong>Ocean Waves</strong>: University of Miami Wave Model (UMWM, https://umwm.org). The model is configured at the same 3-km as the atmosphere model, and has 36 directional bins and 37 frequency bins that are logarithmically spaced from 0.0313 to 2 Hz.</li> <li><strong>Ocean Circulation</strong>: HYbrid Coordinate Ocean Model (HYCOM, https://github.com/HYCOM) v2.3.01, configured at 0.01 degree resolution and 41 vertical layers. Initial and boundary conditions are based on daily GOFS 3.1 41-layer HYCOM + NCODA Global 1/12° Analysis, daily. K-Profile Parameterization for vertical mixing.</li> <li><strong>Coupling</strong>: Earth System Modeling Framework (ESMF, https://github.com/esmf-org/esmf) v8.0.1</li> </ul> <p><strong>File Description</strong></p> <ul> <li>blkdat.input - HYCOM (ocean circulation) configuration file</li> <li>dorian2019_atmosphere_1km_2019090100.nc - Atmosphere at 1-km resolution dataset</li> <li>dorian2019_atmosphere_waves_3km_2019082900.nc - Atmosphere and waves at 3-km resolution dataset, Aug 29 - Sep 1.</li> <li>dorian2019_atmosphere_waves_3km_2019090100.nc - Atmosphere and waves at 3-km resolution dataset, Sep 1-7</li> <li>dorian2019_ocean_1km_2019082900.nc - Ocean circulation at 1-km resolution dataset</li> <li>main.nml - UMWM (waves) configuration file</li> <li>namelist.input - WRF (atmosphere) configuration file</li> <li>regional.depth.[ab] - HYCOM (ocean circulation) bathymetry files</li> <li>regional.grid.[ab] - HYCOM (ocean circulation) grid files</li> <li>umwm.gridtopo - UMWM (waves) grid and bathymetry file</li> <li>wrfbdy_d01 - WRF (atmosphere) boundary conditions file</li> <li>wrfinput_d01.2019082900 - WRF (atmosphere) initial conditions file for parent domain on Aug 29</li> <li>wrfinput_d01.2019090100 - WRF (atmosphere) initial conditions file for parent domain on Sep 1</li> <li>wrfinput_d02.2019090100 - WRF (atmosphere) initial conditions file for inner nest on Sep 1</li> </ul> <p><strong>Coupled model source code</strong></p> <p>The model source code has not yet been released. We plan to open source it upon publication of the paper describing the simulation. When the source code is released, we will add the link to this repository.</p>
A high-resolution, multi-decadal, free-running, hydrodynamic simulation of the East Australia Current System using the Regional Ocean Modeling System (Version 3.0, 1994-2019)
<p>The data is from a Regional Ocean Modelling System free-running, hydrodynamic simulation of the East Australian Current System. The model has a horizontal resolution of 2.5-6 km in the cross-shore direction and 5 km in the alongshore direction, and 30 vertical s-levels. The model domain covers the southeastern Australia oceanic region from 25.1-41.5°S and 147.1-162.2°E, and the grid is orientated 20 degrees clockwise to be predominantly orientated alongshore. The time period covered is 02 Jan 1994 to 28 Feb 2019. The model outputs provided are daily averages of the following variables: Two-dimensional variables: Sea surface height (zeta), barotropic cross-grid velocity (u) and barotropic along-grid velocity (v). Three-dimensional variables: Temperature (temp), salinity (salt), density (rho), cross-grid velocity (u), along-grid velocity (v) and vertical velocity (w), temperature time rate of change (temp_rate), temperature horizontal advection term (temp_hadv), temperature vertical advection term (temp_vadv), temperature horizontal diffusion term (temp_hdiff), temperature vertical diffusion term (temp_vdiff). In this version, the heat budget terms (temp_rate, temp_hadv, temp_vadv, temp_hdiff and temp_vdiff) are set to be zeros on the land.</p> <p> </p> <p>This model is part of the <a href="../records/8294716"><strong>South East Australian Coastal Ocean Forecast System (SEA-COFS)</strong></a> suite of models.</p>
Simulated Seafloor Pressures for "The Ocean's Impact on Slow Slip Events"
<p>These files in this archive contain the simulated seafloor pressures used in the study of Gomberg et al. (2020). These seafloor pressures were derived from a Regional Ocean Modeling System (ROMS) on the seafloor of the Hikurangi subduction zone off New Zealand [<em>Hadfield et al.</em>, 2007] at offshore sites deployed during the 10-month 2014-2015 Hikurangi Ocean Bottom Investigation of Tremor and Slow Slip (HOBITSS) experiment [<em>Wallace et al.</em>, 2016]. Details of each file are described in the Readme.pdf file.These files in this archive contain the simulated seafloor pressures used in the study of Gomberg et al. (2020). These seafloor pressures were derived from a Regional Ocean Modeling System (ROMS) on the seafloor of the Hikurangi subduction zone off New Zealand [<em>Hadfield et al.</em>, 2007] at offshore sites deployed during the 10-month 2014-2015 Hikurangi Ocean Bottom Investigation of Tremor and Slow Slip (HOBITSS) experiment [<em>Wallace et al.</em>, 2016]. Details of each file are described in the Readme.pdf file.</p>
Eddy Kinetic Energy in the Arctic Ocean from a High-resolution Global Simulation with 1-km Arctic (data).
<p>Data for the "Eddy Kinetic Energy in the Arctic Ocean from a High-resolution Global Simulation with 1-km Arctic".</p>
Effect of changing ocean circulation on deep ocean temperature in the last millennium: simulation output data
<ul> <li>This dataset contains the output of model simulations used in the paper:<br> Scheen, Jeemijn and Stocker, Thomas F., "Effect of changing ocean circulation on deep ocean temperature in the last millennium", Earth System Dynamics Discussions, https://doi.org/10.5194/esd-11-925-2020, 2020 </li> <li>All figures can be reproduced when combining this dataset with the published analysis code. <br> </li> <li>In addition this dataset contains the data behind Fig. 2 of the paper:<br> Gebbie, G. and Huybers, P. : "The Little Ice Age and 20th-century deep Pacific cooling", Science, 363, 70-74, https://doi.org/10.1126/science.aar8413, 2019<br> </li> <li>Download either the small (unzipped 5 Gb) or large (unzipped 22 Gb) version of the dataset. <strong>Warning: this needs to be loaded into memory when running the notebook.</strong> You only need the small version to run the github notebook and reproduce the figures, but you are free to explore additional variables in the large version.</li> </ul> <p>Overview of doi's:</p> <ul> <li>paper: <a href="https://doi.org/10.5194/esd-11-925-2020">https://doi.org/10.5194/esd-11-925-2020</a></li> <li>code (analysis and figures): <a href="https://doi.org/10.5281/zenodo.4022947">https://doi.org/10.5281/zenodo.4022947</a></li> <li>data (simulation output): <a href="https://doi.org/10.5281/zenodo.4022927">https://doi.org/10.5281/zenodo.4022927</a></li> </ul>
Archived Model Output for "Simulating Observations of Southern Ocean Clouds and Implications for Climate"
<p>This is an archive of CAM6 simulation output used in the paper Southern Ocean Aerosol and Ice Nucleating Particles in the Community Earth System Model Version 2, submitted to the Journal of Geophysical Research Atmospheres. </p>
NEMO4.2 eORCA1 configuration files for stable millennial ocean simulations
<p>This data repository contains the configuration files specific to the three model experiments described in the study entitled 'Effects of improved tidal mixing in NEMO one-degree global ocean model'. These experiments, called OLD, NEW and TRA, employ NEMO version 4.2.0 and the eORCA1 global mesh. They have been run for 1000 years under CORE version 2 normal year atmospheric forcing (https://data1.gfdl.noaa.gov/nomads/forms/core/COREv2/CNYF_v2.html).</p> <p>The files provided are: routines modified (compared to released NEMO 4.2.0 code), namelists, initial conditions, other input fields, and restarts for year 1001 of experiment TRA. </p> <p>Namelist filenames include either '_ref' or '_cfg'; the latter overwrite the former before the model reads the full namelists.</p>
Outputs of the Jupyter Notebook - Learning the Underlying Physics of a Simulation Model of the Ocean's Temperature (CIRC23)
<p>The dataset contains the outputs of the notebook "Learning the Underlying Physics of a Simulation Model of the Ocean's Temperature (CIRC23)" published in The Environmental Data Science Book.</p>
Storyline Simulations Data for the paper Athanase et al.: Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean
<p>Data used for producing the Figures in the paper entitled "Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean", Athanase et al. (Communications Earth & Environment).</p> <p>The AWI-CM-1-1-MR free runs are available in the Earth System Grid Federation (ESGF) data nodes (https://esgf-data.dkrz.de/search/cmip6-dkrz/). The ERA5 reanalysis data used in the paper can be accessed from the European Centre for Medium-Range Weather Forecasts (ECMWF; https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5). Here, we provide data from the nudged storyline simulations carried out with the AWI-CM-1-1-MR coupled climate model.</p> <p>Parameters naming convention:</p> <p>- Sea Surface Temperature ("tos").</p> <p>- Radiative Fluxes ("radiations"), including net surface heat flux ("qnet"), net surface thermal radiation ("trads"), net surface solar radiation ("srads"), latent heat flux ("ahfl"), sensible heat flux ("ahfs").</p> <p>- Low Clouds Cover ("lcc").</p> <p>- Mixed Layer Depth ("mlotst").</p> <p>- Surface Air Temperature ("tas").</p> <p>- 10 m winds ("u10","v10").</p> <p>All data is provided as the 5-member ensemble mean from the nudged storyline simulations. Data is provided for the storyline simulations of the summer 2019 Northeast Pacific marine heatwave, in different background climate conditions: preindustrial ("PI"), present-day ("PD"), and +4°C warmer world ("4K"). </p> <p> </p>
Simulations used in the Ocean Science Journal submission titled "Internal and forced ocean variability in the Mediterranean Sea " by Benincasa et al., 2024
<p>Temperature (votemper) and current speed datasets from the EAS5 (Clementi et al., <em>Mediterranean Sea Analysis and Forecast (CMEMS MED-Currents, EAS5 system),</em> 2019; Coppini et al., <em>The Mediterranean forecasting system. Part I: evolution and performance</em>, EGUsphere, pp. 1–50, 2023) simulations used in the manuscript titled "<em>Internal and forced ocean variability in the Mediterranean Sea"</em> and submitted to the journal Ocean Science by Benincasa et al. </p> <p>The daily fields are at 2 depth levels ( 0 = 0 m, 2 = 30 m) and in the 2 seasons (JFMA = winter, JASO = summer) for the entire Mediterranean Sea. The vertical profile of the temperature field up to about 950 m depth is available at 8 locations distributed over the basin. The depth levels are found in <em>depth.pkl</em>: the first column represents the depth of the various levels, whereas the second is the increments between 2 consecutive depth levels. </p>
Output of simulations for "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis": Part 1
<p>This dataset contains the output of the simulations for the paper "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis" doi: [TO BE COMPLETED]. This is part 1. It contains data for the S1 simulation.</p>
Output of simulations for "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis": Part 2
<p>This dataset contains the output of the simulations for the paper "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis" doi: [TO BE COMPLETED]. This is part 2. It contains the remaining of data for the S1 simulation, the data of the reference simulations RefC and RefW, and the data for the sensitivity analysis of the supplementary material.</p>
Phanerozoic global climatic fields simulated using the FOAM ocean-atmosphere general circulation model
<p>These files contain the output of Phanerozoic global climate simulations conducted using the coupled ocean-atmosphere FOAM general circulation model. They are available every 20 Myrs between 540 Ma and 0 Ma, both included. All simulations have been conducted using identical boundary conditions; pCO2: 2240 ppm, solar luminosity: 1368 W m-2, vegetation: rocky desert, orbital configuration: null eccentricity and minimum obliquity. Only the continental configuration was varied from one time slice to the other (sensitivity test to the continental configuration), using the reconstructions of Scotese and Wright (https://www.earthbyte.org/paleodem-resource-scotese-and-wright-2018/).</p> <p>The reader is referred to the associated paper for a full description of the model and boundary conditions.</p> <p>All file names use the following pattern: "[age]rd_1368W_EccN_[model_component]_2240ppm.nc", with [age], the age expressed in million years ago, and [model_component] being 'atmos', 'ocean' or 'coupl' (atmospheric and oceanic components, plus coupler).</p>
Remote internal wave forcing of regional ocean simulations near the U.S. West Coast
<p>This dataset contains data from ROMS simulations near the U.S. West Coast with realistic atmospheric forcing, tidal forcing and remote internal wave forcing. FS800b has remote internal wave forcing while FS800a does not have remote internal wave forcing at the open boundaries. The ROMS simulations have 4-km horizontal resolution and 60 sigma-layers. All data is along the local x- and y- axis of the rotated C-grid. Data is stored in netcdf format. We also include the altimeter dataset (see Buijsman et al., 2020; doi: 10.1016/j.ocemod.2020.101656) used in validating the semidiurnal internal tides.</p> <p>More details and context of this data can be found in the article: https://doi.org/10.1016/j.ocemod.2022.102154 . Please cite this article along with any use of this data.</p> <p>Siyanbola, O.Q., Buijsman, M.C., Delpech, A., Renault, L., Barkan, R., Shriver, J.F., Arbic, B.K., & McWilliams, J.C. (2023). Remote internal wave forcing of regional ocean simulations near the U.S. West Coast, <strong><em>Journal of Ocean Modelling</em></strong>, <strong><em>181</em></strong>, 18 p.</p>
Output from model simulations of a turbulent ice shelf-ocean boundary current
<p><em>This dataset contains output from 2 LES and 19 MITgcm simulations of an idealised configuration of the ice shelf-ocean boundary current. Core fields are provided such as velocity and density and these are given as ice-plane averaged. The output was generated to make an inter-model comparison of the representation of dynamical processes at the ice shelf-ocean boundary. The two LES configurations differ in their sub-grid-scale parameterisation. The MITgcm simulations investigate the sensitivity to various parameter changes including: resolution, diffusivity coefficients, advection scheme and melt-parameterisation. All configurations are outlined in Patmore et al. (2022).</em></p>
Ambiguous controls on simulated diazotrophs in the world oceans
<p>This repository is the data supplement to</p> <p>"Ambiguous controls on simulated diazotrophs in the world oceans" by U. Löptien and H. Dietze 2022 in Nature Scientific Reports (doi: 10.1038/s41598-022-22382-y).</p> <p>This repository contains the following data:</p> <p>(1) The files named tavg_spinup_year_2000_***,nc contain the 3D model results at the end of the spinup for the model versions GRAZ, OLIGO, CONTR and the UVic2.9 reference model. The files tave.1800-2150.***nfix..nc contain the RCP8.5-projections for the model versions GRAZ and OLIGO. Alle these data files are provided in the Network Common Data Format (netCDF).</p> <p>(2) Plotting routines for the published model results in ferret (plot_hist.jnl and plot_fut.jnl).</p> <p>(3) Source code for UVic 2.9 (source.zip) and compile script ("mk.in"). The source code is password protected as it requires registration at http://climate.uvic.ca/model/. The password will be provided upon request (ulrike.loeptien@ifg.uni-kiel.de). "control.in" is the input scripts for the Reference Simulation. For GRAZ, OLIGO and CONTR the Parameter values (wd0, jdiar and zprefD) are changed according to the respective publication.</p> <p>(4) All required input data for the model, including initial conditions, are provided in data.zip.</p> <p>Don't hesitate to contact ulrike.loeptien@ifg.uni-kiel.de or heiner.dietze@ifg.uni-kiel.de in case of confusion.</p> <p> </p>
Ocean-only simulation outputs based on the IPSL-CM5A-LR and IPSL-CM5A-MR models
<p><br> Name of the simulations<br> piControl2 : COUPLED-LR<br> piControlMR3 : COUPLED-MR<br> OR2L2E : CLIM-LR<br> OR2L2G : CLIM-MR<br> OR2L2M : TOTAL-LR member 1<br> OR2L2M2 : TOTAL-LR member 2<br> OR2L2M3 : TOTAL-LR member 3<br> OR2L2M4 : TOTAL-LR member 4<br> OR2L2M5 : TOTAL-LR member 5<br> OR2L2R : TOTAL-MR member 1<br> OR2L2R2 : TOTAL-MR member 2<br> OR2L2R3 : TOTAL-MR member 3<br> OR2L2R4 : TOTAL-MR member 4<br> OR2L2R5 : TOTAL-MR member 5<br> OR2L2Q : RANDOM-LR<br> OR2L2S : RANDOM-MR<br> piControl2_perm : like COUPLED-LR but with random permutation identical to those used to generate RANDOM-LR<br> piControlMR3_perm : like COUPLED-MR but with random permutation identical to those used to generate RANDOM-MR</p> <p>Variables :<br> zomsfatl : Atlantic meridional overturning streamfunction<br> thetao_700 : averaged potential temperature between 0m and 700m<br> dens : 3D seawater density<br> EOF-NA_SLP : PC1 of the North Atlantic monthly SLP</p> <p> </p>
Ocean model simulations in cold-water coral ecosystems off the coasts of Angola and Namibia in the Southeast Atlantic: Setup, boundary conditions and model results.
<p>The dataset contains all essential data for the setup of high-resolution local area model implementations using the ROMS-AGRIF model version 3.1 in two cold-water coral regions off the coasts of Angola and Namibia in the Southeast Atlantic. The data include computational grids, initialization fields (temperature, salinity), and boundary conditions (temperature, salinity, currents, and sea surface height) for each model area. It also includes model output, which has been used in different studies of the local oceanography of the region .</p> <p>Initialization, forcing and output data for each ROMS-AGRIF model implementation are provided in two compressed archive data files:</p> <ul> <li>Angola Margin: Angola_Model_Setup1.7z</li> <li>Namibia Margin: Namibia_Model_Setup1.7z</li> </ul> <p>The data set description is provided in the file:</p> <ul> <li>DataSet_Description_Angola_Namibia_Model.pdf</li> </ul> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
The importance of turbulent ocean-sea ice nutrient exchanges for simulation of ice algal biomass and production with CICE6.1 and Icepack 1.2 - paper figures
<p>This file contains the figures to the paper "The importance of turbulent ocean-sea ice nutrient exchanges for simulation of ice algal biomass and production with CICE6.1 and Icepack 1.2 - model simulations", including the supplementary ones, in jpg format at 300 dpi.</p>
Idealized Southern Ocean simulations
<p>This data repository supports a paper by Luwei Yang, Maxim Nikurashin, Andrew McC. Hogg, and Bernadette M. Sloyan, accepted for publication in the Journal of Physical Oceanography. This repository contains model solutions for a series of MOM6 ocean model simulations and other information needed to reproduce results shown in the paper. </p> <p>See README.pdf for more information.</p>
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