http://lod.bco-dmo.org/id/dataset/706167
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2017-06-27
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project)
2017-06-28
publication
2017-06-28
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2017-08-07
publication
https://doi.org/10.1575/1912/bco-dmo.712322
Takamitsu Ito
Georgia Institute of Technology
principalInvestigator
Dr Annalisa Bracco
Georgia Institute of Technology
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Ito, T., Bracco, A., Sun, D. (2017) Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). Version Date 2017-06-28 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.712322 [access date]
MITgcm model deep convection simulation output Dataset 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. &nbsp;The experiment was based on&nbsp;winter Labrador Sea&nbsp;conditions.</p>
<p>Model output&nbsp;is&nbsp;available to download as MATLAB .mat files by clicking the "Get Data" link. &nbsp;Each file includes the output of one run covering 90 days.<br />
* Contents of .mat files described in &nbsp;<a href="http://dmoserv3.whoi.edu/data_docs/IVOMLS/MITgcm/mat_file_variables.csv" target="_blank">mat_file_variables.csv</a></p> Methods and Sampling: <p>All experiments were performed&nbsp;using the MIT General Circulation Model (MITgcm) [Marshall et al., 1997a, b]. The model was configured to allow non-hydrostatic dynamics to explicitly resolve deep convection, and the set-up was modified from Jones and Marshall [1993]. The model domain was a box with periodic boundary conditions in the x&nbsp;and y&nbsp;directions of 32 x 32 km with a horizontal&nbsp;resolution of 250 m. The box had a uniform depth of 2 km with 41 z-levels with increasing thickness&nbsp;from 10 m at&nbsp;surface&nbsp;to 100 m near the bottom. The linear equation of state was&nbsp;used throughout this study. 16 sensitivity experiments were designed to explore the behavior of oxygen uptake during the deep convection events under different cooling conditions. Two validation runs were also applied by forcing the model using observational data from Argo <a href="http://www.argo.net/">(http://www.argo.net/</a>). Detailed information about all simulations can be found in Sun et al [2017]. In this data set, horizontally averaged profiles and vertical transport of dissolved oxygen and temperature from all experiments are included. A few transect of dissolved oxygen and temperature are also included to demonstrate the evolution of the convection event.&nbsp;<br />
&nbsp;<br />
<strong>&nbsp;References:&nbsp;</strong></p>
<p>Jones, H., and J. Marshall (1993), Convection with rotation in a neutral ocean: A study of open-ocean deep convection, Journal of Physical Oceanography, 23(6), 1009–1039.</p>
<p>Marshall, J., C. Hill, L. Perelman, and A. Adcroft (1997a), Hydrostatic, quasi-hydrostatic, and&nbsp;non-hydrostatic&nbsp;ocean modeling, Journal of Geophysical Research: Oceans, 102(C3), 5733–5752.</p>
<p>Marshall, J., A. Adcroft, C. Hill, L. Perelman, and C. Heisey (1997b), A finite-volume, incompressible&nbsp;navier&nbsp;stokes&nbsp;model for studies of the ocean on parallel computers, Journal of Geophysical Research: Oceans, 102(C3), 5753–5766.</p>
<p>Sun, D., T. Ito and B. Annalisa, Oxygen flux and vertical transport during deep convection events,&nbsp;submitted&nbsp;to Global Biogeochemical Cycles.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1357373 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1357373
completed
Takamitsu Ito
Georgia Institute of Technology
404-894-3985
School of Earth and Atmospheric Sciences 311 Ferst Drive
Atlanta
GA
30332
USA
taka.ito@eas.gatech.edu
pointOfContact
Dr Annalisa Bracco
Georgia Institute of Technology
404-894-1749
311 Ferst Drive
Atlanta
GA
30332-0340
USA
annalisa@eas.gatech.edu
pointOfContact
asNeeded
Unknown
experiment_name
experiment_type
comment
filesize
file_download_link
theme
None, User defined
experiment id
experiment type
comments
file_size
file_link
featureType
BCO-DMO Standard Parameters
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Interannual variability of oxygen and macro-nutrients in the Labrador Sea
https://osprey.bco-dmo.org/project/706160
Interannual variability of oxygen and macro-nutrients in the Labrador Sea
<p>NSF abstract:</p>
<p>Recent observations and climate model projections indicate that the global oxygen inventory may be declining due to the lower solubility and the increasing stratification associated with a warming climate. Decomposition of organic matter in the deep sea consumes dissolved oxygen, which must be replenished by the circulation of oxygen-rich waters from the polar regions. Without vigorous oxygen supply from the high latitudes, the global oceans will lose oxygen.</p>
<p>In this study, researchers at Georgia Tech will use a hierarchy of models to simulate oxygen and nutrient cycling in the Labrador Sea, one of the regions of deep water formation in the North Atlantic, over a fifty year period. The Labrador Sea is also a region of extreme seasonality and intense biological productivity, thus oxygen cycling there likely reflects multiple physical and biological processes. Results from this study will promote a better understanding of the interannual variability of oxygen and nutrients in the Labrador Sea, and ultimately contribute to knowledge on how a changing climate impacts these cycles.</p>
<p>Broader Impacts:<br />
The broader impacts of this project include student training, international collaboration and outreach to K-12 students.</p>
IVOMLS
largerWorkCitation
project
eng; USA
oceans
-64.306
-43.674
47.386
60.3988
2017-06-28
Labrador Sea
0
BCO-DMO catalogue of parameters from Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project)
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/707047.rdf
Name: experiment_name
Units: unitless
Description: <p>Experiment name for model output</p>
http://lod.bco-dmo.org/id/dataset-parameter/707048.rdf
Name: experiment_type
Units: unitless
Description: <p>Experiment type</p>
http://lod.bco-dmo.org/id/dataset-parameter/707049.rdf
Name: comment
Units: unitless
Description: <p>Experiment description</p>
http://lod.bco-dmo.org/id/dataset-parameter/707050.rdf
Name: filesize
Units: unitless
Description: <p>File size of the .mat file</p>
http://lod.bco-dmo.org/id/dataset-parameter/707051.rdf
Name: file_download_link
Units: unitless
Description: <p>Link to download data as .mat file (HTML link)</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
13861
https://darchive.mblwhoilibrary.org/bitstream/1912/9154/1/data_deep-convection-simulation-using-mitgcm.tsv
download
https://doi.org/10.1575/1912/bco-dmo.712322
download
onLine
dataset
<p>All experiments were performed&nbsp;using the MIT General Circulation Model (MITgcm) [Marshall et al., 1997a, b]. The model was configured to allow non-hydrostatic dynamics to explicitly resolve deep convection, and the set-up was modified from Jones and Marshall [1993]. The model domain was a box with periodic boundary conditions in the x&nbsp;and y&nbsp;directions of 32 x 32 km with a horizontal&nbsp;resolution of 250 m. The box had a uniform depth of 2 km with 41 z-levels with increasing thickness&nbsp;from 10 m at&nbsp;surface&nbsp;to 100 m near the bottom. The linear equation of state was&nbsp;used throughout this study. 16 sensitivity experiments were designed to explore the behavior of oxygen uptake during the deep convection events under different cooling conditions. Two validation runs were also applied by forcing the model using observational data from Argo <a href="http://www.argo.net/">(http://www.argo.net/</a>). Detailed information about all simulations can be found in Sun et al [2017]. In this data set, horizontally averaged profiles and vertical transport of dissolved oxygen and temperature from all experiments are included. A few transect of dissolved oxygen and temperature are also included to demonstrate the evolution of the convection event.&nbsp;<br />
&nbsp;<br />
<strong>&nbsp;References:&nbsp;</strong></p>
<p>Jones, H., and J. Marshall (1993), Convection with rotation in a neutral ocean: A study of open-ocean deep convection, Journal of Physical Oceanography, 23(6), 1009–1039.</p>
<p>Marshall, J., C. Hill, L. Perelman, and A. Adcroft (1997a), Hydrostatic, quasi-hydrostatic, and&nbsp;non-hydrostatic&nbsp;ocean modeling, Journal of Geophysical Research: Oceans, 102(C3), 5733–5752.</p>
<p>Marshall, J., A. Adcroft, C. Hill, L. Perelman, and C. Heisey (1997b), A finite-volume, incompressible&nbsp;navier&nbsp;stokes&nbsp;model for studies of the ocean on parallel computers, Journal of Geophysical Research: Oceans, 102(C3), 5753–5766.</p>
<p>Sun, D., T. Ito and B. Annalisa, Oxygen flux and vertical transport during deep convection events,&nbsp;submitted&nbsp;to Global Biogeochemical Cycles.</p>
Specified by the Principal Investigator(s)
<p>Arithmetic means calculated using Matlab software.</p>
<p>BCO-DMO Data Manager Processing notes:<br />
27 Jun 2017: Metadata descriptions provided here are preliminary and have not yet been reviewed by the data contributor.<br />
* model output files indexed with file sizes and download links added to the dataset.</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact