Dynamic Topography of the Bering Sea

A new mean dynamic topography (MDT) for the Bering Sea is presented. The product is obtained by combining historical oceanographic and atmospheric observations with high-resolution model dynamics in the framework of a variational technique. Eighty percent of the ocean data underlying the MDT were ob...

Full description

Bibliographic Details
Main Authors: Panteleev, Gleb, Yaremchuk, Max, Stabeno, Phyllis J., Luchin, Vladimir, Nechaev, Dmitri A., Kikuchi, Takashi
Format: Text
Language:unknown
Published: The Aquila Digital Community 2011
Subjects:
Online Access:https://aquila.usm.edu/fac_pubs/527
https://aquila.usm.edu/context/fac_pubs/article/1526/viewcontent/Panteleev_et_al_2011_Journal_of_Geophysical_Research__Oceans__1978_2012_.pdf
id ftsouthmissispun:oai:aquila.usm.edu:fac_pubs-1526
record_format openpolar
spelling ftsouthmissispun:oai:aquila.usm.edu:fac_pubs-1526 2023-07-30T04:02:40+02:00 Dynamic Topography of the Bering Sea Panteleev, Gleb Yaremchuk, Max Stabeno, Phyllis J. Luchin, Vladimir Nechaev, Dmitri A. Kikuchi, Takashi 2011-05-01T07:00:00Z application/pdf https://aquila.usm.edu/fac_pubs/527 https://aquila.usm.edu/context/fac_pubs/article/1526/viewcontent/Panteleev_et_al_2011_Journal_of_Geophysical_Research__Oceans__1978_2012_.pdf unknown The Aquila Digital Community https://aquila.usm.edu/fac_pubs/527 https://aquila.usm.edu/context/fac_pubs/article/1526/viewcontent/Panteleev_et_al_2011_Journal_of_Geophysical_Research__Oceans__1978_2012_.pdf Faculty Publications text 2011 ftsouthmissispun 2023-07-15T18:41:54Z A new mean dynamic topography (MDT) for the Bering Sea is presented. The product is obtained by combining historical oceanographic and atmospheric observations with high-resolution model dynamics in the framework of a variational technique. Eighty percent of the ocean data underlying the MDT were obtained during the last 25 years and include hydrographic profiles, surface drifter trajectories, and in situ velocity observations that were combined with National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) atmospheric climatology. The new MDT quantifies surface geostrophic circulation in the Bering Sea with a formal accuracy of 2-4 cm/s. The corresponding sea surface height (SSH) errors are estimated by inverting the Hessian matrix in the subspace spanned by the leading modes of SSH variability observed from satellites. Comparison with similar products based on in situ observations, satellite gravity, and altimetry shows that the new MDT is in better agreement with independent velocity observations by Argo drifters and moorings. Assimilation of the satellite altimetry data referenced to the new MDT allows better reconstruction of regional circulations in the Bering Sea. Comparisons also indicate that MDT estimates derived from the latest Gravity Recovery and Climate Experiment geoid model have more in common with the presented sea surface topography than with the MDTs based on earlier versions of the geoid. The presented MDT will increase the accuracy of calculations of the satellite altimeter absolute heights and geostrophic surface currents and may also contribute to improving the precision in estimating the geoid in the Bering Sea. Text Bering Sea The University of Southern Mississippi: The Aquila Digital Community Bering Sea
institution Open Polar
collection The University of Southern Mississippi: The Aquila Digital Community
op_collection_id ftsouthmissispun
language unknown
description A new mean dynamic topography (MDT) for the Bering Sea is presented. The product is obtained by combining historical oceanographic and atmospheric observations with high-resolution model dynamics in the framework of a variational technique. Eighty percent of the ocean data underlying the MDT were obtained during the last 25 years and include hydrographic profiles, surface drifter trajectories, and in situ velocity observations that were combined with National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) atmospheric climatology. The new MDT quantifies surface geostrophic circulation in the Bering Sea with a formal accuracy of 2-4 cm/s. The corresponding sea surface height (SSH) errors are estimated by inverting the Hessian matrix in the subspace spanned by the leading modes of SSH variability observed from satellites. Comparison with similar products based on in situ observations, satellite gravity, and altimetry shows that the new MDT is in better agreement with independent velocity observations by Argo drifters and moorings. Assimilation of the satellite altimetry data referenced to the new MDT allows better reconstruction of regional circulations in the Bering Sea. Comparisons also indicate that MDT estimates derived from the latest Gravity Recovery and Climate Experiment geoid model have more in common with the presented sea surface topography than with the MDTs based on earlier versions of the geoid. The presented MDT will increase the accuracy of calculations of the satellite altimeter absolute heights and geostrophic surface currents and may also contribute to improving the precision in estimating the geoid in the Bering Sea.
format Text
author Panteleev, Gleb
Yaremchuk, Max
Stabeno, Phyllis J.
Luchin, Vladimir
Nechaev, Dmitri A.
Kikuchi, Takashi
spellingShingle Panteleev, Gleb
Yaremchuk, Max
Stabeno, Phyllis J.
Luchin, Vladimir
Nechaev, Dmitri A.
Kikuchi, Takashi
Dynamic Topography of the Bering Sea
author_facet Panteleev, Gleb
Yaremchuk, Max
Stabeno, Phyllis J.
Luchin, Vladimir
Nechaev, Dmitri A.
Kikuchi, Takashi
author_sort Panteleev, Gleb
title Dynamic Topography of the Bering Sea
title_short Dynamic Topography of the Bering Sea
title_full Dynamic Topography of the Bering Sea
title_fullStr Dynamic Topography of the Bering Sea
title_full_unstemmed Dynamic Topography of the Bering Sea
title_sort dynamic topography of the bering sea
publisher The Aquila Digital Community
publishDate 2011
url https://aquila.usm.edu/fac_pubs/527
https://aquila.usm.edu/context/fac_pubs/article/1526/viewcontent/Panteleev_et_al_2011_Journal_of_Geophysical_Research__Oceans__1978_2012_.pdf
geographic Bering Sea
geographic_facet Bering Sea
genre Bering Sea
genre_facet Bering Sea
op_source Faculty Publications
op_relation https://aquila.usm.edu/fac_pubs/527
https://aquila.usm.edu/context/fac_pubs/article/1526/viewcontent/Panteleev_et_al_2011_Journal_of_Geophysical_Research__Oceans__1978_2012_.pdf
_version_ 1772813481687384064