Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation, Version 1.0

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-dimensio...

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Bibliographic Details
Main Authors: Proshutinsky, A., Lindsay, R., Nechaev, D., Panteleev, G., Zhang, J.
Format: Dataset
Language:English
Published: UCAR/NCAR - Earth Observing Laboratory 2010
Subjects:
Online Access:https://dx.doi.org/10.5065/d6xs5shc
https://arcticdata.io/catalog/#view/doi:10.5065/D6XS5SHC
id ftdatacite:10.5065/d6xs5shc
record_format openpolar
spelling ftdatacite:10.5065/d6xs5shc 2023-05-15T14:39:27+02:00 Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation, Version 1.0 Proshutinsky, A. Lindsay, R. Nechaev, D. Panteleev, G. Zhang, J. 2010 ZIP: PKZIP (application/zip) https://dx.doi.org/10.5065/d6xs5shc https://arcticdata.io/catalog/#view/doi:10.5065/D6XS5SHC en eng UCAR/NCAR - Earth Observing Laboratory http://data.eol.ucar.edu/datafile/nph-get/106.304/Documentation.pdf http://data.eol.ucar.edu/datafile/nph-get/106.304/README.htm http://www.whoi.edu/projects/AOREC These data are available to be used subject to the University Corporation for Atmospheric Research ("UCAR") terms and conditions. http://www2.ucar.edu/terms-of-use Arctic Oceanography FOS Earth and related environmental sciences Models/Analyses Models, AOMIP ARCSS NSF Arctic System Science dataset Dataset scientific data 2010 ftdatacite https://doi.org/10.5065/d6xs5shc 2021-11-05T12:55:41Z 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. Dataset Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Arctic
Oceanography
FOS Earth and related environmental sciences
Models/Analyses
Models, AOMIP
ARCSS
NSF Arctic System Science
spellingShingle Arctic
Oceanography
FOS Earth and related environmental sciences
Models/Analyses
Models, AOMIP
ARCSS
NSF Arctic System Science
Proshutinsky, A.
Lindsay, R.
Nechaev, D.
Panteleev, G.
Zhang, J.
Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation, Version 1.0
topic_facet Arctic
Oceanography
FOS Earth and related environmental sciences
Models/Analyses
Models, AOMIP
ARCSS
NSF Arctic System Science
description 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.
format Dataset
author Proshutinsky, A.
Lindsay, R.
Nechaev, D.
Panteleev, G.
Zhang, J.
author_facet Proshutinsky, A.
Lindsay, R.
Nechaev, D.
Panteleev, G.
Zhang, J.
author_sort Proshutinsky, A.
title Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation, Version 1.0
title_short Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation, Version 1.0
title_full Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation, Version 1.0
title_fullStr Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation, Version 1.0
title_full_unstemmed Toward Reanalysis of the Arctic Climate System - Sea Ice and Ocean Reconstruction with Data Assimilation, Version 1.0
title_sort toward reanalysis of the arctic climate system - sea ice and ocean reconstruction with data assimilation, version 1.0
publisher UCAR/NCAR - Earth Observing Laboratory
publishDate 2010
url https://dx.doi.org/10.5065/d6xs5shc
https://arcticdata.io/catalog/#view/doi:10.5065/D6XS5SHC
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_relation http://data.eol.ucar.edu/datafile/nph-get/106.304/Documentation.pdf
http://data.eol.ucar.edu/datafile/nph-get/106.304/README.htm
http://www.whoi.edu/projects/AOREC
op_rights These data are available to be used subject to the University Corporation for Atmospheric Research ("UCAR") terms and conditions.
http://www2.ucar.edu/terms-of-use
op_doi https://doi.org/10.5065/d6xs5shc
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