Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations
The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of dif...
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dataone:dcx_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_1 2024-06-03T18:46:46+00:00 Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations ENVELOPE(-180.0,-158.0,67.0,50.0) 2020-11-03T18:44:06.767Z https://search.dataone.org/view/dcx_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_1 unknown Arctic Data Center BEST Bering sea BSIERP Dataset dataone:urn:node:ARCTIC 2024-06-03T18:16:50Z The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.). The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002). Dataset Bering Sea Arctic Data Center (via DataONE) Bering Sea ENVELOPE(-180.0,-158.0,67.0,50.0) |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
BEST Bering sea BSIERP |
spellingShingle |
BEST Bering sea BSIERP Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations |
topic_facet |
BEST Bering sea BSIERP |
description |
The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.). The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002). |
format |
Dataset |
title |
Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations |
title_short |
Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations |
title_full |
Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations |
title_fullStr |
Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations |
title_full_unstemmed |
Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations |
title_sort |
volume, heat and salt transport in the north-eastern bering sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations |
publisher |
Arctic Data Center |
publishDate |
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url |
https://search.dataone.org/view/dcx_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_1 |
op_coverage |
ENVELOPE(-180.0,-158.0,67.0,50.0) |
long_lat |
ENVELOPE(-180.0,-158.0,67.0,50.0) |
geographic |
Bering Sea |
geographic_facet |
Bering Sea |
genre |
Bering Sea |
genre_facet |
Bering Sea |
_version_ |
1800870773796110336 |