Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project)
<p>This dataset includes deep convection simulation output from the MITgcm (MIT General Circulation Model). The data include profiles under different situations in an idealized domain. The experiment was based on winter Labrador Sea conditions.</p> <p>Mo...
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Biological and Chemical Oceanography Data Management Office (BCO-DMO)
2017
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dataone:sha256:911594ef3c3181105c68b6d3b60ea08b4df44753fd08688d09eabfb9a57c9621 2024-06-03T18:46:58+00:00 Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) Takamitsu Ito Dr Annalisa Bracco Daoxun Sun ENVELOPE(-64.306,-43.674,60.3988,47.386) 2017-06-28T00:00:00Z https://search.dataone.org/view/sha256:911594ef3c3181105c68b6d3b60ea08b4df44753fd08688d09eabfb9a57c9621 unknown Biological and Chemical Oceanography Data Management Office (BCO-DMO) oxygen exchange, deep convection, bubble injection, oceans Dataset 2017 dataone:urn:node:BCODMO 2024-06-03T18:10:16Z <p>This dataset includes deep convection simulation output from the MITgcm (MIT General Circulation Model). The data include profiles under different situations in an idealized domain. The experiment was based on winter Labrador Sea conditions.</p> <p>Model output is available to download as MATLAB .mat files by clicking the \"Get Data\" link. Each file includes the output of one run covering 90 days.<br /> * Contents of .mat files described in <a href=\"http://dmoserv3.whoi.edu/data_docs/IVOMLS/MITgcm/mat_file_variables.csv\" target=\"_blank\">mat_file_variables.csv</a></p> Dataset Labrador Sea Biological and Chemical Oceanography Data Management Office (BCO-DMO) (via DataONE) ENVELOPE(-64.306,-43.674,60.3988,47.386) |
institution |
Open Polar |
collection |
Biological and Chemical Oceanography Data Management Office (BCO-DMO) (via DataONE) |
op_collection_id |
dataone:urn:node:BCODMO |
language |
unknown |
topic |
oxygen exchange, deep convection, bubble injection, oceans |
spellingShingle |
oxygen exchange, deep convection, bubble injection, oceans Takamitsu Ito Dr Annalisa Bracco Daoxun Sun Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) |
topic_facet |
oxygen exchange, deep convection, bubble injection, oceans |
description |
<p>This dataset includes deep convection simulation output from the MITgcm (MIT General Circulation Model). The data include profiles under different situations in an idealized domain. The experiment was based on winter Labrador Sea conditions.</p> <p>Model output is available to download as MATLAB .mat files by clicking the \"Get Data\" link. Each file includes the output of one run covering 90 days.<br /> * Contents of .mat files described in <a href=\"http://dmoserv3.whoi.edu/data_docs/IVOMLS/MITgcm/mat_file_variables.csv\" target=\"_blank\">mat_file_variables.csv</a></p> |
format |
Dataset |
author |
Takamitsu Ito Dr Annalisa Bracco Daoxun Sun |
author_facet |
Takamitsu Ito Dr Annalisa Bracco Daoxun Sun |
author_sort |
Takamitsu Ito |
title |
Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) |
title_short |
Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) |
title_full |
Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) |
title_fullStr |
Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) |
title_full_unstemmed |
Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) |
title_sort |
deep convection simulation from the mitgcm (mit general circulation model) (ivomls project) |
publisher |
Biological and Chemical Oceanography Data Management Office (BCO-DMO) |
publishDate |
2017 |
url |
https://search.dataone.org/view/sha256:911594ef3c3181105c68b6d3b60ea08b4df44753fd08688d09eabfb9a57c9621 |
op_coverage |
ENVELOPE(-64.306,-43.674,60.3988,47.386) |
long_lat |
ENVELOPE(-64.306,-43.674,60.3988,47.386) |
genre |
Labrador Sea |
genre_facet |
Labrador Sea |
_version_ |
1800873845543927808 |