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7 results for “Numerical ocean modeling”

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zenodo44/100

Daily ocean bottom pressure anomalies 2007-2009 from global numerical models

<p>Data supplement to: Schindelegger, M., Harker, A. A., Ponte, R. M., Dobslaw, H., &amp; Salstein, D. A. (2021). Convergence of daily GRACE solutions and models of submonthly ocean bottom pressure variability. <em>Journal of Geophysical Research: Oceans</em>, 126, e2020JC017031. <a href="https://doi.org/10.1029/2020JC017031">https://doi.org/10.1029/2020JC017031</a></p> <p><strong>Contents:</strong></p> <p>Daily ocean bottom pressure anomalies over 2007-2009 obtained from two global forward simulations:</p> <ol> <li><strong>DEBOT</strong> (<em>David Einspigel Barotropic Ocean Tide Model</em>): 1/3&deg; horizontal grid spacing, single-layer model</li> <li><strong>MITgcm LLC270</strong> (<em>Massachusetts Institute of Technology general circulation model, Lat-Lon-Cap 270</em>): nominal 1/3&deg; horizontal grid spacing, 50 vertical layers</li> </ol> <p>Common specifications:</p> <ul> <li>Yearly files (<em>yyyy</em>) for each model run (<em>DEBOT_OBP_n180_yyyy.nc</em>, <em>LLC270_OBP_n180_yyyy.nc</em>)</li> <li>Temporal mean 2007-2009 reduced</li> <li>Daily fields centered at 12 UTC</li> <li>Units: cm of equivalent water height</li> <li>Data given on regular 1&deg; grid</li> <li>Synthesized from spherical harmonic expansion truncated at degree 180 (<em>n180</em>)</li> <li>Degree 1 terms: included</li> <li>Static atmospheric contribution to bottom pressure: included</li> <li>Atmospheric forcing: ERA-Interim (6-hourly)</li> </ul> <p>&nbsp;</p> <p>Contact: M. Schindelegger (schindelegger@igg.uni-bonn.de)</p>

opencc-by-4.0Nov 2020View details →
zenodo40/100

The Impact of a Pressurized Regional Sea or Global Ocean on Stresses on Enceladus: Numerical models

<p>Comsol Multiphysics models solving the stress field in Enceladus' ice shell when a regional sea of global ocean is pressurized.</p> <p>Model parameters are included as part of the file name according to the template EnceladusT<em>t</em>D<em>d</em><em>Label</em>.mph with</p> <ul> <li><em>t</em> is the ice shell thickness</li> <li><em>d</em> is the thickness of the south polar sea or indentation</li> <li><em>Label </em>indicates model configuration <ul> <li><em>Fixed</em>: The base of the ice shell (outside the south polar sea) is in contact with the core with a no-slip boundary condition</li> <li><em>Roller</em>: The base of the ice shell (outside the south polar sea) is in contact with the core with a free-slip boundary condition</li> <li><em>Ocean</em>: The base of the ice shell is floating with a constant pressure condition; there is a single indentation at the South pole</li> <li><em>North</em>: The base of the ice shell is floating with a constant pressure condition; there are indentations at both poles, with the north pole indentation having half the thickness of the South pole indentation</li> </ul> </li> </ul> <p>There are two solved datasets in each model. The first uses a default value of the ocean angle (40°). The second results from a parameter sweep in which the sea angle varies systematically in increments of 2°.</p>

opencc-by-4.0Mar 2017View details →
zenodo40/100

CMT precipitation dataset for numerical models of the ocean

<p>Total and liquid precipitation datasets created with the method described in <strong>Bias and trend correction of precipitation datasets to force ocean models</strong>&nbsp;(<em>Dussin, JTECH, in revision)</em>.</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Numerical model code, input files and output data for publication "Rapid mixing and exchange of deep-ocean waters in an abyssal boundary current"

<p>Contains numerical model data (code, input files, selected output, matlab diagnostic routines) to supplement publication ``Rapid mixing and exchange of deep-ocean waters in an abyssal boundary current&#39;&#39;, by Naveiro Garabato and co-authors. All numerical model data, including any errors, is the responsibility of Sonya Legg. This data set will allow reproduction of simulations, and reproduction of diagnostics shown in plots in the above-referenced paper.</p>

opencc-by-4.0Dec 2018View details →
zenodo36/100

The interpretation of temperature and salinity variables in numerical ocean model output and the calculation of heat fluxes and heat content - ACCESS-CM2 data and code

<p>This dataset contains post-processed ACCESS-CM2 PI control CMIP6 climate model&nbsp;output and code used to produce&nbsp;Figs. 5, 6 and 9 in the published article:</p> <p>McDougall, T., J., Barker, P.M.,&nbsp;Holmes, R.M., Pawlowicz, R., Griffies, S. and Durack, P. (2021): The interpretation of temperature and salinity variables in numerical ocean model output and the calculation of heat fluxes and heat content,&nbsp;<strong>Geoscientific Model Development</strong>,&nbsp;14, 1&ndash;21, <a href="https://doi.org/10.5194/gmd-2020-426">https://doi.org/10.5194/gmd-2020-426</a></p> <p>The processed ACCESS-CM2 data is included as .mat files and is accompanied by&nbsp;Matlab processing routines (including code from the TEOS-10 Gibbs SeaWater Oceanographic Toolbox, https://www.teos-10.org/software.htm#1) to produce the figures. A&nbsp;more detailed description of the data are included in README.md. The code and data is also available under version control at&nbsp;<a href="https://github.com/rmholmes/ACCESS_CM2_SpecificHeat/tree/GMD_Published">https://github.com/rmholmes/ACCESS_CM2_SpecificHeat/tree/GMD_Published</a>.</p>

opencc-by-4.0Oct 2021View details →
zenodo28/100

Numerical model output data for publication "Control of the oceanic heat content of the Getz-Dotson Trough, Antarctica, by the Amundsen Sea Low"

<p>Contains MITgcm model output data to reproduce the analyses of the paper &quot;Control of the oceanic heat content of the Getz-Dotson Trough, Antarctica, by the Amundsen Sea Low&quot;, by Dotto and co-authors, published in&nbsp;Journal of Geophysical Research-Oceans (doi: 10.1029/2020JC016113). The model simulation is presented and described in Kimura et al. (2017; doi:&nbsp;10.1002/2017JC012926) and in Dotto et al. (2019; doi: 10.1175/JPO-D-19-0064.s1).&nbsp;See the &#39;ReadMe.txt&#39; file for a description of the data.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo24/100

Numerical model setup for studying the energetics of the ocean current under sea ice

<p>This dataset contains model code and input files for studying the energetics of the ocean current under sea ice.&nbsp;The model used in this study is the Massachusetts Institute of Technology general circulation model (MITgcm). Original source code is the MITgcm_c66m.</p> <p>code: contains code configuration for Exp-PD, Exp-D, Exp-P, and Exp-PD100.</p> <p>code_F:&nbsp;contains code configuration for Exp-PF.</p> <p>input_PD: contains parameter settings and input files for the base experiment Exp-PD&nbsp;(initial perturbation + ice-ocean drag).</p> <p>input_D: contains parameter settings and input files for the sensitivity experiment Exp-D&nbsp;(no initial perturbation).</p> <p>input_P: contains parameter settings and input files for the sensitivity experiment Exp-P&nbsp;(no ice-ocean drag).</p> <p>input_PD100: contains parameter settings and input files for the sensitivity experiment Exp-PD100 (a restart of Exp-P from day 100 and is run for 100 days with the ice-ocean drag).</p> <p>input_F:&nbsp;contains parameter settings and input files for the sensitivity experiment Exp-PF (no sea ice model;&nbsp;Forcings include&nbsp;surface stress, shortwave radiation, and heat and freshwater fluxes&nbsp;diagnosed from Exp-PD).</p>

opencc-by-4.0Jun 2022View details →

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