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Italy.
28. Stabeno, P. J., Schumacher, J. D., & Ohtani, K. (1999). The physical oceanography of the
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29. Stabeno, P. J., Kachel, D. G., & Sullivan, M. E. (2005). Observation from moorings in the
Aleutian Passes: Temperature, salinity and transport. Fisheries Oceanography, 14, 39–54.
30. Tziperman, E., & Thacker, W. C. (1989). An optimal-control/adjoint equation approach to
studying the oceanic general circulation. Journal of Physical Oceanography, 19, 1471–1485.
31. Woodgate, R. A., Aagaard, K., & Weingartner, T. (2005). Monthly temperature, salinity, and
transport variability of the Bering Strait through flow. Geophysical Research Letters, 32,
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32. Wunsch, C. (1996). The ocean circulation inverse problem (p. 442). Cambridge: Cambridge
University Press.
33. Yoshinari, H., Maximenko, N. A., & Hacker, P. W. (2006). YoMaHa’05: Velocity data
assessed from trajectories of Argo floats at parking level and at the sea surface. IPRC
Technical Note No. 4, 20 pp.
34. Yaremchuk, M., & Sentchev, A. (2012). Multi-scale correlation functions associated with
polynomials of the diffusion operator. Quarterly Journal of the Royal Meteorological Society,
138, 1948–1953.
35. Yaremchuk, M., Carrier, M., Smith, S., & Jacobs, G. (2013). Background error correlation
modeling with diffusion operators, In S. K. Park and L. Xu (Eds.), Data assimilation for
atmospheric, oceanic and hydrologic applications (Vol. II, pp. 177–203). Berlin, Heidelberg:
Springer. https://doi.org/10.1007/978-3-642-35088-78.
36. Zhang, J., & Rothrock, D. A. (2005). The effect of sea ice rheology in numerical
investigations of climate. Journal Geophysical Research, 110, C08014. https://doi.org/10.
1029/2004JC002599.
The Bering Sea Regional Data Assimilation System …
517
International Workshop.
27. Rio, M.-H., Schaeffer, P., Moreaux, G., Bourgogne, S., Lemoine, J.-M., & Bronner, E.
(2009). A new mean dynamic topography computed over the global ocean from GRACE data
altimetry and in-situ measurements. In Proceedings of OceanObs’09 Conference, Venice,
Italy.
28. Stabeno, P. J., Schumacher, J. D., & Ohtani, K. (1999). The physical oceanography of the
Bering Sea. In Dynamic of the Bering Sea (838 pp.). Fairbanks: Alaska Sea Grant College
Program.
29. Stabeno, P. J., Kachel, D. G., & Sullivan, M. E. (2005). Observation from moorings in the
Aleutian Passes: Temperature, salinity and transport. Fisheries Oceanography, 14, 39–54.
30. Tziperman, E., & Thacker, W. C. (1989). An optimal-control/adjoint equation approach to
studying the oceanic general circulation. Journal of Physical Oceanography, 19, 1471–1485.
31. Woodgate, R. A., Aagaard, K., & Weingartner, T. (2005). Monthly temperature, salinity, and
transport variability of the Bering Strait through flow. Geophysical Research Letters, 32,
L04601. https://doi.org/10.1029/2004GL021880.
32. Wunsch, C. (1996). The ocean circulation inverse problem (p. 442). Cambridge: Cambridge
University Press.
33. Yoshinari, H., Maximenko, N. A., & Hacker, P. W. (2006). YoMaHa’05: Velocity data
assessed from trajectories of Argo floats at parking level and at the sea surface. IPRC
Technical Note No. 4, 20 pp.
34. Yaremchuk, M., & Sentchev, A. (2012). Multi-scale correlation functions associated with
polynomials of the diffusion operator. Quarterly Journal of the Royal Meteorological Society,
138, 1948–1953.
35. Yaremchuk, M., Carrier, M., Smith, S., & Jacobs, G. (2013). Background error correlation
modeling with diffusion operators, In S. K. Park and L. Xu (Eds.), Data assimilation for
atmospheric, oceanic and hydrologic applications (Vol. II, pp. 177–203). Berlin, Heidelberg:
Springer. https://doi.org/10.1007/978-3-642-35088-78.
36. Zhang, J., & Rothrock, D. A. (2005). The effect of sea ice rheology in numerical
investigations of climate. Journal Geophysical Research, 110, C08014. https://doi.org/10.
1029/2004JC002599.
The Bering Sea Regional Data Assimilation System …
517