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Enregistrement W6889699679 · doi:10.26092/elib/371

Mixing Induced Vertical Heat and Freshwater Fluxes in the Upper Ocean of the Subpolar North Atlantic

2020· article· en· W6889699679 sur OpenAlex

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Notice bibliographique

RevueMedia (https://www.suub.uni-bremen.de/) · 2020
Typearticle
Langueen
DomaineEarth and Planetary Sciences
ThématiqueOceanographic and Atmospheric Processes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIsopycnalInternal waveMixing (physics)Acoustic Doppler current profilerTurbulenceInternal tideEddy diffusionWater columnThermal diffusivity

Résumé

récupéré en direct d'OpenAlex

This study is focused on an investigation of diapycnal diffusivity induced by internal waves breaking in the upper ocean of the subpolar North Atlantic. Turbulent diffusion plays a significant role in transferring heat and freshwater between the oceanic surface and deep ocean. The upper subpolar North Atlantic is defined as a region between 40-70N and 0-65W below the seasonal thermocline. It is the complex region where mixing is induced by many processes such as double diffusion, turbulence, or isopycnal mixing. This study is an attempt to define the contribution of turbulent diapycnal mixing to the vertical transfers of heat and freshwater. To date, measurements of dissipation rate and diapycnal diffusivity are limited in the upper subpolar North Atlantic. Often, these parameters are parametrized with CTD (Conductivity-Temperature-Depth) and Lowered ADCP (Acoustic Doppler Current Profiler) data on CTD stations. Measurements of the microscale shear and temperature gradient are relatively rare in this region. Here, I added the vertical shear from the shipboard ADCP velocity data to the analysis of parametrized turbulent mixing. The main advantage of this kind of the data is that the dataset is continuous in time and space along the ship track. It helps to increase the number of estimations of diapycnal mixing in the region. I started from the description of a method for post-processing of the collected velocity datasets. After, I describe the variability of diapycnal diffusivity in the subpolar North Atlantic. The next chapter is dedicated to understanding the role of wind forcing in energy transfer to the internal waves field and turbulent mixing. The last two chapters contain results from a numerical model and investigate the role of turbulent diffusion in the vertical transfers of heat and freshwater in comparison with vertical advection, and describe the sensitivity of background stratification to changes in external forcings. Diapycnal diffusivity is used as a measure of turbulent diffusion induced by internal waves’ breaking and estimated from the long-term shipboard observations. Vertical shear is calculated from the shipboard ADCP data, and buoyancy is described with the CTD data collected during 13 research cruises in the subpolar North Atlantic in 2003-2018. Dissipation rate is estimated from a finescale shear-based parameterization based on the properties of the internal waves’ field and the assumption of proportionality of dissipation to internal waves’ energy and buoyancy. Diffusive heat and freshwater fluxes are calculated for the CTD stations. Advective fluxes are computed with a high-resolution NEMO (Nucleus for European Modelling of the Ocean) model based on the configuration ANHA12 (Arctic and Northern Hemispheric Atlantic with 1/12 degree). Additionally, a Hybrid Slab Model is used to estimate the energy flux from wind to the internal waves’ field. Diapycnal diffusivity has no significant temporal (seasonal or interannual) variability in the subpolar North Atlantic. Two main regions with different mixing regimes are described. The Labrador Sea and the region south of Greenland are characterized by low turbulent diffusion rates. Enhanced diffusivities are detected in the central parts of the subpolar North Atlantic (the Western North Atlantic along the 47N and the PIES line along the Mid-Atlantic Ridge). The energy flux coming from wind to the internal wave energy shows strong seasonality. But a direct response of internal waves’ energy or dissipation and diffusivity to wind input energy flux is not found. Vertical advection is driven by the vertical velocity field and also contributes to vertical heat and freshwater transfers. It varies in the upper subpolar North Atlantic and follows the divergence and convergence zones of the general circulation. At the same time, the turbulent heat flux has a downward direction, while the turbulent freshwater flux is upward. Dissipation rate is estimated from a finescale parameterization that depends on two parameters, internal wave energy and background stratification. The high-resolution NEMO model output allows us to describe potential changes of the upper ocean buoyancy depending on changes in different atmospheric and hydrological forcings. In a short-term perspective, buoyancy is the most sensitive to wind and air temperature. Wind has a double contribution as it influences the mixed layer depth and contributes to the internal waves’ energy. Wind also modifies sensible and latent heat fluxes and influences the ocean-atmosphere interactions and oceanic heat content. In a long-term perspective, changes in precipitation and runoff forcings will also have a significant contribution. The signal of internal waves in the upper subpolar North Atlantic is found from the shipboard data, but double diffusion, enhanced mesoscale eddy activity and non-linear interactions of internal waves with topography, general currents or eddies should be taken into account for a complete analysis of vertical mixing in further investigations.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,837

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,194
Écart entre enseignants0,177 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle