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The Ocean in Motion pp 501–517Cite as

The Bering Sea Regional Data Assimilation System: From Climate Variability to Short Term Hindcasting

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Abstract

We present a regional Data Assimilation System (DAS), which employs the 4-dimensional variational (4dVar) DA approach based on the strong dynamical constraints of a semi-implicit primitive equation model. The developed 4dVar DAS is applied to the Bering Sea in several configurations. First, it is used for the reconstruction of seasonal and annual mean climatological states in the region, including the high resolution mean dynamical ocean topography (MDOT). The dynamically and statistically consistent climatologies are then utilized in various applications, including high-resolution analyses of the transport through the passage of the Aleutian Arc, and of the 2007–2010 circulation on the East Bering Sea shelf with the nested configuration of the DAS. Apart from new insight on the Bering Sea dynamics, the chapter illustrates the importance of developing dynamically consistent climatologies and, in particular, MDOT, for the analysis of the diverse data sets within a wide spectrum of spatial and temporal scales.

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Acknowledgements

This study was supported by the University of Hawaii, the International Arctic Research Center, NSF grants 1107925, 1203740 and ARC-1107327. G. Panteleev and M. Yaremchuk were also supported by the ONR core project “Arctic data assimilation” and program element 0602435N as part of the project “Adjoint-free 4dVar for Navy ocean models”. The authors are indebted to P. Stabeno for providing drifter and current data.

Author information

Authors and Affiliations

  1. Naval Research Laboratory, Stennis Space Center, Hancock, USA

    Gleb G. Panteleev & Max Yaremchuk

  2. Pacific Oceanological Institute, Vladivostok, Russia

    Vladimir Luchin

  3. University of Hawaii, Honolulu, USA

    Oceana Francis

Authors
  1. Gleb G. Panteleev
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  2. Max Yaremchuk
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  3. Vladimir Luchin
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  4. Oceana Francis
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Corresponding author

Correspondence to Gleb G. Panteleev .

Editor information

Editors and Affiliations

  1. Instituto Pluridisciplinar, Universidad Complutense de Madrid, Madrid, Spain

    Manuel G. Velarde

  2. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia

    Roman Yu. Tarakanov

  3. Department of Arctic Technology, University Center in Svalbard, Longyearbyen, Norway

    Alexey V. Marchenko

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Panteleev, G.G., Yaremchuk, M., Luchin, V., Francis, O. (2018). The Bering Sea Regional Data Assimilation System: From Climate Variability to Short Term Hindcasting. In: Velarde, M., Tarakanov, R., Marchenko, A. (eds) The Ocean in Motion. Springer Oceanography. Springer, Cham. https://doi.org/10.1007/978-3-319-71934-4_32

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