Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation
Summary
The major goal of this project was to develop an integrated set of data assimilation procedures for the ice-ocean system that is able to provide gridded data sets that are physically consistent and constrained to the observations of sea ice and ocean parameters. The project uses modern four-dimensional variational (4D-Var, adjoint) data assimilation methods. Sea ice and ocean models with new data assimilation procedures were employed to maximize the integration of model results with observations and thus attempt to provide the arctic research community with complete and accurate data sets for 3 different climate regimes, namely: 1972-1978, 1989-1996, and 1997-2006. The reconstructed monthly mean water temperature, salinity and currents at standard for above mentioned climate regimes are provided in figures and in gridded digital form.
Data access
- download: NSF Arctic Data Center
Additional information
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Spatial Type | grid |
Frequency | monthly |
Language | English |
Grant Code | 628836 |
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Temporal coverage
Begin datetime | 1972-01-01 01:01:00 |
End datetime | 2006-12-31 23:59:59 |
Spatial coverage
Map data from IBCSO, IBCAO, and Global Topography.
Maximum (North) Latitude:
90.00,
Minimum (South) Latitude:
68.00
Minimum (West) Longitude:
-180.00,
Maximum (East) Longitude:
180.00
Primary point of contact information
Andrey Proshutinsky <aproshutinsky@whoi.edu>
Additional contact information
- author: Andrey Proshutinsky <aproshutinsky@whoi.edu>
- author: Ron Lindsay <lindsay@apl.washington.edu>
- author: Dmitri Nechaev
- author: Gleb Panteleev <gleb@iarc.uaf.edu>
- author: Jinlun Zhang <zhang@apl.washington.edu>
- originator: Andrey Proshutinsky <aproshutinsky@whoi.edu>
- principalInvestigator: Andrey Proshutinsky <aproshutinsky@whoi.edu>
Citation
Proshutinsky, A., et al. 2010. Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D6XS5SHC. Accessed 06 Dec 2024.
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