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• W2510111919 startingPage "195" @default.
• W2510111919 abstract "The equatorial region is a particularly challenging area for ocean data assimilation. In this region the dominant balance near the surface is between the ocean pressure gradients and the applied wind stress. When increments are applied to an ocean model near the Equator, the pressure gradients are modified and this can cause an imbalance with the unchanged wind stress. This can lead to an initialization shock where spurious equatorial waves and vertical velocities are triggered. The equatorial waves can degrade the performance of the ocean model while the increased vertical velocities have a significant negative impact on biogeochemical models forced by these physical ocean fields. Previous studies have proposed a scheme to reduce the ocean biases associated with slowly varying errors in the applied wind stress by applying a pressure correction calculated from accumulated temperature and salinity increments. This scheme has previously been shown to reduce the mean vertical velocities and improve modelled circulation. However, when applying this scheme, we still see equatorial imbalances from data assimilation on shorter time‐scales. We consider a new method which is an extension of the pressure correction and aims to act as a balance to the equatorial increments and reduce intialization shock. We refer to this as an incremental pressure correction. We provide a description of this method and an analysis of its energetics. In initial experiments with a global ocean data assimilation system, this new method is shown to suppress the generation of equatorial waves in a single observation experiment and to significantly reduce the standard deviation of vertical velocities in a re‐analysis experiment." @default.
• W2510111919 created "2016-09-16" @default.
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• W2510111919 creator A5087324164 @default.
• W2510111919 date "2016-11-13" @default.
• W2510111919 modified "2023-10-08" @default.
• W2510111919 title "Reducing ocean model imbalances in the equatorial region caused by data assimilation" @default.
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• W2510111919 doi "https://doi.org/10.1002/qj.2912" @default.
• W2510111919 hasPublicationYear "2016" @default.
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