The Bering Sea Regional Data Assimilation System: From Climate Variability to Short Term Hindcasting
[Technical Report, Book Chapter]
NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MSRUSSIAN ACADEMY OF SCIENCES VLADIVOSTOK (RUSSIA)HAWAII UNIV HONOLULU (MANOA CAMPUS)
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In the last decades, 4d variational 4dVar data assimilation DA has become the most acknowledged tool for advanced hindcasting and forecasting of the ocean circulation. Starting from DA systems constrained by simple dynamics e.g., 1,16, the 4dVar approach 9 has gradually evolved into advanced DA systems based on state-of-the-art ocean models MIT, ROMS and is now routinely applied toward reconstructing the circulation in the Arctic, Pacific, or World Ocean e.g., 5,15. These state-of-the-art DA systems involve the assimilation of a variety of observations from satellites, surface and Argo drifters and climatological observations from oceanographic databases. Assimilation of these publicly accessible, near real-time observations is natural since the major goal of the global DA systems is to provide hindcasting of the global circulation andor analysis of observed climate changes on a global scale. Meanwhile, due to the low flexibility of the global DA systems in assimilating regional data on smaller scales, the regional DA systems have been under extensive development within the last decade e.g. 6, 8.
- Physical and Dynamic Oceanography