[HTML][HTML] Incremental analysis update implementation into a sequential ocean data assimilation system
Journal of Atmospheric and Oceanic Technology, 2006•journals.ametsoc.org
This study deals with the enhancement of a sequential assimilation method applied to an
ocean general circulation model (OGCM). A major drawback of sequential assimilation
methods is the time discontinuity of the solution resulting from intermittent corrections of the
model state. The data analysis step can induce shocks in the model restart phase, causing
spurious high-frequency oscillations and data rejection. A method called Incremental
Analysis Update (IAU) is now recognized to efficiently tackle these problems.
ocean general circulation model (OGCM). A major drawback of sequential assimilation
methods is the time discontinuity of the solution resulting from intermittent corrections of the
model state. The data analysis step can induce shocks in the model restart phase, causing
spurious high-frequency oscillations and data rejection. A method called Incremental
Analysis Update (IAU) is now recognized to efficiently tackle these problems.
Abstract
This study deals with the enhancement of a sequential assimilation method applied to an ocean general circulation model (OGCM). A major drawback of sequential assimilation methods is the time discontinuity of the solution resulting from intermittent corrections of the model state. The data analysis step can induce shocks in the model restart phase, causing spurious high-frequency oscillations and data rejection. A method called Incremental Analysis Update (IAU) is now recognized to efficiently tackle these problems.
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