Dataset: INSPIRE sea ice model simulations
Data 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. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-02-08 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.729546.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.
DOI:10.26008/1912/bco-dmo.729546.1
Spatial Extent: N:-71 E:-100 S:-75 W:-130
Temporal Extent: 2006-01-01 - 2013-12-31
Principal Investigator:
Pierre St-Laurent (Old Dominion University, ODU)
Co-Principal Investigator:
Eileen E. Hofmann (Old Dominion University, ODU)
Robert M. Sherrell (Rutgers University)
Sharon E. Stammerjohn (University of Colorado, UCo - INSTAAR)
Patricia L. Yager (University of Georgia, UGA)
Contact:
Pierre St-Laurent (Old Dominion University, ODU)
BCO-DMO Data Manager:
Mathew Biddle (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2017-08-30
Restricted:
No
Validated:
Yes
Current State:
Final no updates expected
Numerical model simulating the sea ice and ocean conditions in the Amundsen Sea over the period Jan. 1, 2006 to Dec. 31, 2013
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.