Numerical model simulating the sea ice and ocean conditions in the Amundsen Sea over the period Jan. 1, 2006 to Dec. 31, 2013

dc.contributor.author St-Laurent, Pierre
dc.contributor.author Hofmann, Eileen E.
dc.contributor.author Sherrell, Robert M.
dc.contributor.author Stammerjohn, Sharon E.
dc.contributor.author Yager, Patricia L.
dc.contributor.author Biddle, Mathew
dc.contributor.author York, Amber D.
dc.coverage.spatial N:-71 E:-100 S:-75 W:-130
dc.date.accessioned 2022-02-08T20:30:57Z
dc.date.available 2022-02-08T20:30:57Z
dc.date.created 2022-02-08
dc.date.issued 2017-08-03
dc.description.abstract Numerous coastal polynyas fringe the Antarctic continent and strongly influence the productivity of Antarctic shelf systems. Of the 46 Antarctic coastal polynyas documented in a recent study, the Amundsen Sea Polynya (ASP) stands out as having the highest net primary production per unit area. Incubation experiments suggest that this productivity is partly controlled by the availability of dissolved iron (dFe). As a first step toward understanding the iron supply of the ASP, we introduce four plausible sources of dFe and simulate their steady spatial distribution using conservative numerical tracers. The modeled distributions replicate important features from observations including dFe maxima at the bottom of deep troughs and enhanced concentrations near the ice shelf fronts. A perturbation experiment with an idealized drawdown mimicking summertime biological uptake and subsequent resupply suggests that glacial meltwater and sediment-derived dFe are the main contributors to the prebloom dFe inventory in the top 100 m of the ASP. The sediment-derived dFe depends strongly on the buoyancy-driven overturning circulation associated with the melting ice shelves (the “meltwater pump”) to add dFe to the upper 300 m of the water column. The results support the view that ice shelf melting plays an important direct and indirect role in the dFe supply and delivery to polynyas such as the ASP. The data are from a numerical model simulating the sea ice and ocean conditions in the Amundsen Sea over the period Jan. 1, 2006 to Dec. 31, 2013. The data files provide the daily averaged model fields during this period. The numerical model and experiment are thoroughly described in St-Laurent et al., J. Geophys. Res. Oceans, doi:10.1002/2017jc013162. en_US
dc.description.sponsorship NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443657 NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443604 NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443315 NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1443569 en_US
dc.identifier.citation St-Laurent, P., Hofmann, E. E., Sherrell, R. M., Stammerjohn, S. E., Yager, P. L., Biddle, M., & York, A. D. (2022). Numerical model simulating the sea ice and ocean conditions in the Amundsen Sea over the period Jan. 1, 2006 to Dec. 31, 2013 [Data set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/BCO-DMO.729546.1
dc.identifier.doi 10.26008/1912/bco-dmo.729546.1
dc.identifier.uri https://hdl.handle.net/1912/27986
dc.publisher Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu en_US
dc.relation.uri https://www.bco-dmo.org/dataset/729546
dc.relation.uri https://doi.org/10.26008/1912/bco-dmo.729546.1
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.title Numerical model simulating the sea ice and ocean conditions in the Amundsen Sea over the period Jan. 1, 2006 to Dec. 31, 2013 en_US
dc.type Dataset en_US
dspace.entity.type Publication
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relation.isAuthorOfPublication.latestForDiscovery 17a8d054-9983-4229-9866-066c6cb295a5
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