MétaCan
Menu
Back to cohort
Record W1168747251 · doi:10.13140/rg.2.2.26962.56000

Small-scale turbulence dynamics under sea surface gravity waves

2014· dissertation· en· W1168747251 on OpenAlexaboutno aff
Mostafa Bakhoday Paskyabi

Bibliographic record

VenueBergen Open Research Archive (BORA) (University of Bergen) · 2014
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicOcean Waves and Remote Sensing
Canadian institutionsnot available
Fundersnot available
KeywordsTurbulenceScale (ratio)PhysicsGravity waveGeologyGeophysicsMeteorologyGravitational waveAstrophysics

Abstract

fetched live from OpenAlex

The ocean surface is a complex boundary where air-sea fluxes of mass, momentum and energy take place. The processes at this dynamic interface are of great importance in the coupled atmosphere-ocean system. The coupling between winds, surface gravity waves, and currents in the adjacent turbulent boundary layers plays a significant role in the the global energy budget, and hence on synoptic weather system and the global climate. However, the characteristics of upper ocean turbulence very close to the airsea interface still remain insufficiently resolved both theoretically and experimentally. This dissertation aims to improve the gap in our knowledge about air-sea interaction by combining theory, numerical model predictions, and high quality observations under various sea states and wind conditions. An autonomous Microstructure Ocean Turbulence System (MATS) has been designed and constructed in collaboration with Rockland Scientific International, Canada, to collect long time series of turbulent quantities at a fixed level below the wavy air-sea interface. The system allows for measurements of the turbulent dissipation rate using shear probe signals. The motion of the platform is monitored using an inertial measurement unit. Four successful deployments have been carried out, including two periods with storm conditions in late 2011 and early 2012, respectively. Surface gravity waves were also estimated using a high-resolution pressure sensor mounted on the MATS. In addition, a direct covariance flux system was mounted on a moored buoy, and measurements of turbulent heat and momentum fluxes were performed approximately 3.7 m above the sea surface during a field campaign at Martha’s Vineyard Coastal Observatory (MVCO), Massachusetts. This dissertation also aims to improve the parameterizations in numerical modelling studies of upper ocean mixing, by incorporating the effects of wave forcing which are quantified by means of model-observation comparisons. Responsible mechanisms such as breaking and non-breaking waves, and Langmuir Circulation contributions to the enhanced dissipation rate of Turbulent Kinetic Energy (TKE) in the upper ocean are studied theoretically and numerically. A wave toolbox to be incorporated in the General Ocean Turbulence Model (GOTM) has been developed to implement wave effects in an upper ocean vertical mixing model. Moreover, statistics of small scale turbulence below the air-sea interface are investigated under a variety of environmental conditions using model results compared with MATS-measured TKE dissipation rates. The wave-modified model results are further compared with some published empirical parameterizations of the dissipation rate, and some other data from the literature. All model-observation study results support the importance of wave forcing in modulating and modifying upper ocean dynamics and the turbulence structure near the sea surface.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.267
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueBergen Open Research Archive (BORA) (University of Bergen)Same topicOcean Waves and Remote SensingFrench-language works237,207