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Data · dataset · 2026

Parameterizing the impact of unresolved temperature variability on the large-scale density field: Part 1. Theory.

Listed in National Center for Atmospheric Research

Unresolved temperature and salinity fluctuations interact with a nonlinear seawater equation of state to produce significant errors in the ocean model evaluation of the large-scale density field.

Description

It is shown that the impact of temperature fluctuations dominates the impact of salinity fluctuations and that the error in density is, to leading order, proportional to the product of a subgrid-scale temperature variance and a second derivative of the equation of state.

Two parameterizations are proposed to correct the large-scale density field: one deterministic and one stochastic. Free parameters in both parameterizations are fit using fine-resolution model data. Both parameterizations are computationally efficient as they require only one additional evaluation of a nonlinear equation at each grid cell.

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A companion paper will discuss the climate impacts of the parameterizations proposed here.

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Inferred from text
Palaeoclimatology 77%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Researcha050e6ab-1556-451d-8f2b-312cb0fa870f11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:370904enrichment · data ucar edutaxonomy-embedding@1.1.0title+keywords+description (77%)
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0