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- W4200517368 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> Use of an ocean parameter and state estimation framework â such as the Estimating the Circulation and Climate of the Ocean (ECCO) framework â could provide an opportunity to learn about the spatial distribution of the diapycnal diffusivity parameter (<span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span>) that observations alone cannot due to gaps in coverage. However, we show that the inclusion of misfits to observed physical variables â such as in situ temperature, salinity, and pressure â currently accounted for in ECCO is not sufficient, as <span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span> from ECCO does not agree closely with any observationally derived product. These observationally derived <span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span> products were inferred from microstructure measurements, derived from Argo and conductivityâtemperatureâdepth (CTD) data using a strain-based parameterization of fine-scale hydrographic structure, or calculated from climatological and seafloor data using a parameterization of tidal mixing. The <span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span> products are in close agreement with one another but have both measurement and structural uncertainties, whereas tracers can have relatively small measurement uncertainties. With the ultimate goal being to jointly improve the ECCO state estimate and representation of <span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span> in ECCO, we investigate whether adjustments in <span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span> due to inclusion of misfits to a tracer â dissolved oxygen concentrations from an annual climatology â would be similar to those due to inclusion of misfits to observationally derived <span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span> products. We do this by performing sensitivity analyses with ECCO. We compare multiple adjoint sensitivity calculations: one configuration uses misfits to observationally derived <span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span>, and the other uses misfits to observed dissolved oxygen concentrations. We show that adjoint sensitivities of dissolved oxygen concentration misfits to the state estimate's control space typically direct <span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span> to improve relative to the observationally derived values. These results suggest that the inclusion of oxygen in ECCO's misfits will improve <span class=inline-formula><i>κ</i><sub><i>Ï</i></sub></span> in ECCO, particularly in (sub)tropical regions." @default.
- W4200517368 created "2021-12-31" @default.
- W4200517368 creator A5015963762 @default.
- W4200517368 date "2021-12-30" @default.
- W4200517368 modified "2023-10-17" @default.
- W4200517368 title "Reply on RC1" @default.
- W4200517368 doi "https://doi.org/10.5194/os-2021-87-ac1" @default.
- W4200517368 hasPublicationYear "2021" @default.
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