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14 results for “barotropic”
The 2001 Hawaiian Ocean Mixing Experiment (HOME): High-frequency (>1cpd) Barotropic Current Data from the Northern Tomographic Array
<p>Ocean acoustic tomography was used to measure tides in the farfield of the Hawaiian Ridge in 2001 during the Hawaiian Ocean Mixing Experiment (HOME). The measurements were components of a suite of large- and small-scale measurements obtained during HOME with the aim of illuminating the pathways of tidal energy that may be driving deep-ocean mixing. Using reciprocal transmissions, the tomographic arrays were designed to measure the radiation of mode-1 internal tides from the Ridge, together with barotropic tidal currents. This publication makes available the tomographic estimates for barotropic currents derived from<br>three of the six paths of the northern HOME tomography array.</p>
The 2001 Hawaiian Ocean Mixing Experiment (HOME): High-frequency (>1cpd) Barotropic Current Data from the Southern Tomographic Array
<p>Ocean acoustic tomography was used to measure tides in the farfield of the Hawaiian Ridge in 2001 during the Hawaiian Ocean Mixing Experiment (HOME). The measurements were components of a suite of large- and small-scale measurements obtained during HOME with the aim of illuminating the pathways of tidal energy that may be driving deep-ocean mixing. Using reciprocal transmissions, the tomographic arrays were designed to measure the radiation of mode-1 internal tides from the Ridge, together with barotropic tidal currents. This publication makes available the tomographic estimates for barotropic currents derived from<br>the six paths of the southern HOME tomography array.</p>
Files from barotropic and baroclinic idealized model runs of the Southern Indian Ocean
<p>These data files correspond to two idealized model runs of the Southern Indian Ocean using the Regional Ocean Modelling System (ROMS) as a framework. Both simulations are forced with monthly mean QuikSCAT winds and are run at a 1/3 degree resolution. </p> <p>The barotropic model is single layer with realistic ETOPO2 bathymetry, a two arc minute ocean-floor elevation data-set smoothed to a resolution of 55.2 km. The file corresponding to this simulation is named: roms_avg_barotropic.</p> <p>The baroclinic model is a 1 and a half layer model where the value of the pycnocline depth and the reduced gravity parameter is set at the initialization stage. Two simulations are presented, the first where 'relaistic' initialization parameters of H=800m and g'= 0.0134 m/s(^2), and the second where the density gradient between the active and passive layers is reduced to a g' of 0.0076 m/s(^2). The two data sets corresponding to these simulations are titled: roms_avg_800_0134 and roms_avg_800_0076</p> <p>Below find a list of variable names and descriptions:</p> <p>zeta=anomaly in thickness of active layer<br> ubar= mean zonal velocity of active layer<br> vbar= mean meridional velocity of active layerh=depth of bathymetry in barotropic model; pycnocline depth in baroclinic model<br> coast=coastline<br> lon_rho=longitude corresponding the density coordinates<br> lat_rho=latitude corresponding the density coordinates<br> lon_u=longitude corresponding the zonal velocities<br> lat_u=latitude corresponding the zonal velocities<br> lon_v=longitude corresponding the density velocities<br> lat_v=longitude corresponding the meridional velocities<br> time=days since model simualtion started</p>
Supporting Data for Figures in "Localized, tidal energy extraction in Puget Sound can adjust estuary resonance and friction, modifying barotropic tides system-wide"
<p>Supporting data for figures in "Localized, tidal energy extraction in Puget Sound can adjust estuary resonance and friction, modifying barotropic tides system-wide" by Preston S. Spicer, Parker MacCready, and Zhaoqing Yang. The manuscript is being considered for publication in Journal of Geophysical Research: Oceans (2024). The article analyzes the effect of a tidal turbine farm on incident and reflected tidal energy fluxes in the Salish Sea. Files are in MATLAB data and .m format with some .txt and shape files. Files named figX.m create the corresponding Figure X using provided .mat and other files. Variable names and units correspond to graphed data of each figure in the journal article.</p>
The dataset for the submitted paper " Time Series Analysis of Normal Mode Energetics for Rossby Wave Breaking and Saturation using a Simple Barotropic Model".
<p>These files are the data of the result in the submitted paper, titled "Time Series Analysis of Normal Mode Energetics for Rossby Wave Breaking and Saturation using a Simple Barotropic Model".</p> <ul> <li>File Description</li> </ul> <p>pv13.data : Exp. 1<br> pv17.data : Exp. 2</p> <p>The raw potential vorticity (PV) data for the Exp.1 and Exp.2, respectively, used in drawing the Fig.1, 2, and the supplemental movie 1 and 2.<br> These are the grid point value files, 72 levels for the zonal direction, 30 levels for meridional direction. More details are described in the next ctl files.</p> <p> </p> <p>pv13.ctl<br> pv17.ctl</p> <p>Description files for pv13.data and pv17.data. This will be called from grads_pv13.gs and grads_pv17.data, respectively.</p> <p>grads_pv13.gs<br> grads_pv17.gs</p> <p>GrADS script for mapping the PV.</p> <p> </p> <p>energy17.txt : Exp.2</p> <p>The time series table of energy values for exp.2.<br> One raw is identified by combination of the TIME in the experiment and zonal wave number N.</p>
Baroclinic and barotropic tidal data for the pacific basin, filtered at the M2 frequency
<p>Sea surface height, vertically averaged pressure anomalies and pressure gradients, filtered at the M2 frequencies (period: 12.4206 hours)</p> <p>This data was used to produce the figures in: Baroclinic Sea-Level, by McWilliams, Molemaker, and Damien.</p>
Semi-implicit barotropic mode solver using ForTrilinos in MPAS-O and its test data
<p>To run the ForTrilinos-enabled MPAS-O,</p> <ol> <li>Download all files</li> <li>Install Trilinos <ul> <li>Unzip: tar -xzvf Trilinos.tar.gz</li> <li>cd Trilinos ; mkdir build ; cd build ; cp ../do-configure_gnu ./</li> <li>Check install directories and options in 'do-configure_gnu'</li> <li>Run 'do-configure_gnu'</li> <li>Trilinos information & installation refer to <a href="https://trilinos.github.io/">https://trilinos.github.io/</a></li> </ul> </li> <li>Install ForTrilinos (inside Trilinos) <ul> <li>cd Trilinos/ForTrilinos ; mkdir build ; cd build ; cp ../do-configure_gnu ./</li> <li>Check Trilinos and ForTrilinos install directories and options in 'do-configure_gnu'</li> <li>Run 'do-configure_gnu'</li> <li>ForTrilinos information & installation refer to <a href="https://fortrilinos.readthedocs.io/en/latest/">https://fortrilinos.readthedocs.io/en/latest/</a></li> </ul> </li> <li>Install ForTrilinos-enabled MPAS-O <ul> <li>Unzip: tar xzvf MPAS-Model_fortrilinos.tar.gz</li> <li>cd MPAS-Model_fortrilinos</li> <li>Check ForTrilinos directories at line 478 (FORTRILINOS_ROOT) in 'Makefile' </li> <li>Install PIO (refer to <a href="https://ncar.github.io/ParallelIO/">https://ncar.github.io/ParallelIO/</a>)</li> <li>MAPS-O information & installation refer to <a href="https://mpas-dev.github.io/ocean/ocean.html">https://mpas-dev.github.io/ocean/ocean.html</a></li> <li>For GNU compiler: make gnu-nersc USE_PIO2=true FORTRILINOS=true</li> </ul> </li> <li>Run test cases <ul> <li>Example <ul> <li>cd MPAS-O_Initial_data/baroclinicEddies/strong_scaling</li> </ul> </li> <li>Link a MPAS-O compiled executable to a test case directory: <ul> <li>ln -fs MPAS-Model_fortrilinos/ocean_model MPAS-O_Initial_data/baroclinicEddies/strong_scaling/</li> </ul> </li> <li>Link a XML deck (solver configurations) for Trilinos to a test case directory <ul> <li>ln -fs xml_decks/no_precond/stratimikos.xml_SCG MPAS-O_Initial_data/baroclinicEddies/strong_scaling/stratimikos.xml</li> </ul> </li> <li>Run <ul> <li>mpirun -n $N ocean_model</li> <li> <p>If the simulation was successful, you will see:</p> <pre><code>tail -n 1 log.ocean.0000.out Logging complete. Closing file at ...</code></pre> <p> </p> </li> </ul> </li> <li>For the global test case, please download here: <a href="https://doi.org/10.5281/zenodo.1252425">MPAS-O_V6.0_RRS30to10.tar</a>. Please see <a href="http://mpas-dev.github.io/">http://mpas-dev.github.io</a> for User's Guide, github release page, description of each test case, and more.</li> </ul> </li> </ol>
Data from: Barotropic instability during eyewall replacement
<div> <div>Prior to landfall in Puerto Rico, Hurricane Maria (2017) underwent an eyewall replacement cycle. The National Oceanic and Atmospheric Administration (NOAA) San Juan (TJUA) radar captured a robust outer convective ring with an inner ring first distorted into an ellipse and then disintegrated. To understand the dynamical processes during eyewall replacement, this work interprets the eyewall replacement event using the non-divergent barotopic model with a linear stability analysis and non-linear numerical simulations. For the linear stability analysis, the model's axisymmetric basic state vorticity distribution is piece-wise uniform in five regions: eye, inner eyewall, moat, outer eyewall, and far field. The stability of such structures is investigated by solving a simple eigenvalue/eigenvector problem. For the non-linear model, the evolution into a more stable structure is simulated using the non-linear barotropic model. Three types of instability and vorticity rearrangement are identified: (1) instability across the outer ring of enhanced vorticity, (2) instability across the low vorticity moat, and (3) instability across the inner ring of enhanced vorticity. This dataset includes (1) a loop of the NOAA TJUA radar during the landfall of Hurricane Maria (2017) in GIF format to show the convective evolution, (2) the output from the five-region linear stability analysis in NetCDF format, and (3) the output from the non-divergent barotropic model in NetCDF format and GIF format to show the vortex evolution. These data are provided without restrictions for further exploration into understanding barotropic instability during eyewall replacement.</div> </div>
Data from: Barotropic instability during eyewall replacement
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Acoustic Mid-Ocean Dynamics Experiment (AMODE), 1991, North Atlantic: High-frequency Barotropic Currents
<p>A netcdf data file of high-frequency (> 1 cpd) barotropic currents in the western North Atlantic derived from ocean acoustic tomography data collected during the Acoustic Mid-Ocean Dynamics Experiment (AMODE) in 1991. AMODE consisted of a pentagonal array of six moored instruments deployed between Puerto Rico and Bermuda. These are barotropic currents averaged over paths several hundred kilometers long. As documented in:</p> <p>Dushaw, B. D., Egbert, G. D., Worcester, P. F., Cornuelle, B. D., Howe, B. M., & Metzger, K. (1997). A TOPEX/POSEIDON global tidal model (TPXO.2) and barotropic tidal currents determined from long-range acoustic transmissions. Prog. Oceanogr., 40 , 337–367. doi: 10.1016/S0079-6611(98)00008-1</p> <p>these data can be used to derive accurate estimate for barotropic tidal currents in the open ocean. The file includes 15 time series of 100 to 300 day record length. See also:</p> <p>Stammer, D., & Coauthors. (2014). Accuracy assessment of global barotropic ocean tide models. Rev. Geophys., 52 , 243–282. doi: 10.1002/2014RG000450</p> <p>which compares tidal current harmonic constants derived from these data to those derived from several global tidal models. The purpose of this upload is to allow others to estimate tides from these data to test other tidal models. Other than a simple high-pass filter, the time series is unfiltered, but the barotropic tides account for 80-90% of the variance.</p>
MPAS-Ocean Barotropic Tidal Simulation Run Directories
<p>This file contains the initial files needed to run the barotropic tidal simulations in MPAS-Ocean.</p> <p>Download the resolution you want (icos7-10 or vr45to5). Inside the resolution directory is "inline", "scalar", and "shared". "Inline" is the run directory for inline SAL. "Scalar" is the run directory for scalar SAL. "Shared" contains data needed to run either case.</p> <p> The steps are:</p> <ol> <li>download</li> <li>unzip: tar xvfz filename.tar.gz</li> <li>navigate to run directory (resolution/inline OR resolution/scalar)</li> <li>add a link to shared files (e.g., ln -s ../shared/* )</li> <li>add a link to your compiled executable of MPAS-Ocean</li> <li>run, e.g. mpirun -n $N ocean_model</li> </ol> <p>If the simulation was successful, you will see:</p> <pre><code>tail -n 1 log.ocean.0000.out Logging complete. Closing file at ...</code></pre> <p>See Github page: https://github.com/E3SM-Project/E3SM for Quick Start Guide and more.</p>
Tide and TWL Stations for "Understanding Nonlinear Interactions Between Barotropic and Baroclinic Processes in a Global Tide and Storm Surge Model"
<p>This is a dataset that contains the tidal and total water level stations used in my dissertation.</p>
FESOM 2.0 computation of meridional overturning and barotropic streamfunctions
<p>The dataset as well as the Python code related to the article "Simple algorithms to compute meridional overturning and barotropic streamfunction on unstructured meshes" submitted to GMD, 2019</p>
Dataset for Barotropic tides in MPAS-Ocean (E3SM V2): impact of ice shelf cavities (GMD, 2023)
<p>This is the data set containing initial condition and parameter files for the results in our paper.</p>
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