scholarly journals Technical Note: The effect of vertical turbulent mixing on gross O<sub>2</sub> production assessments by the triple isotopic composition of dissolved O<sub>2</sub>

2013 ◽  
Vol 10 (12) ◽  
pp. 8363-8371 ◽  
Author(s):  
E. Wurgaft ◽  
O. Shamir ◽  
A. Angert
Keyword(s):  
Turbulent Mixing ◽  
Turbulent Flux ◽  
Large Fraction ◽  
Eddy Diffusivity ◽  
Technical Note ◽  
Diffusivity Coefficient ◽  
Single Data Point ◽  
Vertical Turbulent Mixing ◽  
The Difference ◽  
Single Data

Abstract. The 17O excess (17Δ) of dissolved O2 has been used, for over a decade, to estimate gross O2 production (G17OP) rates in the mixed layer (ML) in many regions of the ocean. This estimate relies on a steady-state balance of O2 fluxes, which include air–sea gas exchange, photosynthesis and respiration but notably, not turbulent mixing with O2 from the thermocline. In light of recent publications, which showed that neglecting the turbulent flux of O2 from the thermocline may lead to inaccurate G17OP estimations, we present a simple correction for the effect of this flux on ML G17OP. The correction is based on a turbulent-flux term between the thermocline and the ML, and use the difference between the ML 17Δ and that of a single data-point below the ML base. Using a numerical model and measured data we compared turbulence-corrected G17OP rates to those calculated without it, and tested the sensitivity of the GOP correction for turbulent flux of O2 from the thermocline to several parameters. The main source of uncertainty on the correction is the eddy-diffusivity coefficient, which induces an uncertainty of ∼50%. The corrected G17OP rates were 10–90% lower than the previously published uncorrected rates, which implies that a large fraction of the photosynthetic O2 in the ML is actually produced in the thermocline.

scholarly journals Technical note: The effect of vertical turbulent mixing on gross O<sub>2</sub> production assessments by the triple isotopic composition of dissolved O<sub>2</sub>

2013 ◽  
Vol 10 (8) ◽  
pp. 14239-14259 ◽  
Author(s):  
E. Wurgaft ◽  
O. Shamir ◽  
A. Angert
Keyword(s):  
Turbulent Mixing ◽  
Turbulent Flux ◽  
Large Fraction ◽  
Technical Note ◽  
Single Data Point ◽  
Vertical Turbulent Mixing ◽  
The Difference ◽  
Single Data ◽  
Steady State Balance ◽  
O2 Production

Abstract. The 17O-excess (17Δ) of dissolved O2 has been used, for over a decade, to estimate gross O2 production (G17OP) rates in the mixed layer (ML) in many regions of the ocean. This estimate relies on a steady-state balance of O2 fluxes, which include air-sea gas exchange, photosynthesis and respiration but notably, not turbulent mixing with O2 from the thermocline. In light of recent publications, which showed that neglecting the turbulent flux may lead to inaccurate G17OP estimations, we present a simple correction for the effect of turbulent flux of O2 from the thermocline on ML G17OP. The correction is based on a turbulent-flux term between the thermocline and the ML, and use the difference between the ML 17Δ and that of a single data-point below the ML base. Using a numerical model and measured data we compared turbulence-corrected G17OP rates to those calculated without it. The corrected G17OP rates were 10–90% lower than the uncorrected rates, which implies that a large fraction of the photosynthetic O2 in the ML is actually produced in the thermocline.

Event detection of different English data sources based on transfer learning

2021 ◽  
pp. 1-11
Author(s):  
Yanan Huang ◽  
Yuji Miao ◽  
Zhenjing Da
Keyword(s):  
Transfer Learning ◽  
Event Detection ◽  
Visual Analysis ◽  
Learning Algorithm ◽  
Data Sources ◽  
Data Set ◽  
Data Source ◽  
Single Data Source ◽  
The Difference ◽  
Single Data

The methods of multi-modal English event detection under a single data source and isomorphic event detection of different English data sources based on transfer learning still need to be improved. In order to improve the efficiency of English and data source time detection, based on the transfer learning algorithm, this paper proposes multi-modal event detection under a single data source and isomorphic event detection based on transfer learning for different data sources. Moreover, by stacking multiple classification models, this paper makes each feature merge with each other, and conducts confrontation training through the difference between the two classifiers to further make the distribution of different source data similar. In addition, in order to verify the algorithm proposed in this paper, a multi-source English event detection data set is collected through a data collection method. Finally, this paper uses the data set to verify the method proposed in this paper and compare it with the current most mainstream transfer learning methods. Through experimental analysis, convergence analysis, visual analysis and parameter evaluation, the effectiveness of the algorithm proposed in this paper is demonstrated.

scholarly journals Can We Infer Diapycnal Mixing Rates from the World Ocean Temperature–Salinity Distribution?

2016 ◽  
Vol 46 (12) ◽  
pp. 3751-3775 ◽  
Author(s):  
Olivier Arzel ◽  
Alain Colin de Verdière
Keyword(s):  
General Circulation ◽  
Large Scale ◽  
Water Mass ◽  
World Ocean ◽  
Eddy Diffusivity ◽  
Regional Variability ◽  
Diapycnal Mixing ◽  
Inverse Models ◽  
The World ◽  
The Difference

AbstractThe turbulent diapycnal mixing in the ocean is currently obtained from microstructure and finestructure measurements, dye experiments, and inverse models. This study presents a new method that infers the diapycnal mixing from low-resolution numerical calculations of the World Ocean whose temperatures and salinities are restored to the climatology. At the difference of robust general circulation ocean models, diapycnal diffusion is not prescribed but inferred. At steady state the buoyancy equation shows an equilibrium between the large-scale diapycnal advection and the restoring terms that take the place of the divergence of eddy buoyancy fluxes. The geography of the diapycnal flow reveals a strong regional variability of water mass transformations. Positive values of the diapycnal flow indicate an erosion of a deep-water mass and negative values indicate a creation. When the diapycnal flow is upward, a diffusion law can be fitted in the vertical and the diapycnal eddy diffusivity is obtained throughout the water column. The basin averages of diapycnal diffusivities are small in the first 1500 m [O(10−5) m2 s−1] and increase downward with bottom values of about 2.5 × 10−4 m2 s−1 in all ocean basins, with the exception of the Southern Ocean (50°–30°S), where they reach 12 × 10−4 m2 s−1. This study confirms the small diffusivity in the thermocline and the robustness of the higher canonical Munk’s value in the abyssal ocean. It indicates that the upward dianeutral transport in the Atlantic mostly takes place in the abyss and the upper ocean, supporting the quasi-adiabatic character of the middepth overturning.

scholarly journals Goldilocks mixing in oceanic shear-induced turbulent overturns

2021 ◽  
Vol 928 ◽  
Author(s):  
A. Mashayek ◽  
C.P. Caulfield ◽  
M.H. Alford
Keyword(s):  
Ocean Circulation ◽  
Turbulent Mixing ◽  
Intermediate Phase ◽  
Turbulent Flux ◽  
Geographical Location ◽  
Small Scale ◽  
Supporting Evidence ◽  
Stratified Turbulence ◽  
Wide Range ◽  
Variable Flux

We present a new, simple and physically motivated parameterization, based on the ratio of Thorpe and Ozmidov scales, for the irreversible turbulent flux coefficient $\varGamma _{\mathcal {M}}= {\mathcal {M}}/\epsilon$ , i.e. the ratio of the irreversible rate ${\mathcal {M}}$ at which the background potential energy increases in a stratified flow due to macroscopic motions to the dissipation rate of turbulent kinetic energy $\epsilon$ . Our parameterization covers all three key phases (crucially, in time) of a shear-induced stratified turbulence life cycle: the initial, ‘hot’ growing phase, the intermediate energetically forced phase and the final ‘cold’ fossilization decaying phase. Covering all three phases allows us to highlight the importance of the intermediate one, to which we refer as the ‘Goldilocks’ phase due to its apparently optimal (and so neither too hot nor too cold, but just right) balance, in which energy transfer from background shear to the turbulent mixing is most efficient. The value of $\varGamma _{\mathcal {M}}$ is close to 1/3 during this phase, which we demonstrate appears to be related to an adjustment towards a critical or marginal Richardson number for sustained turbulence ${\sim }0.2\text {--}0.25$ . Importantly, although buoyancy effects are still significant at leading order for the turbulent dynamics during this intermediate phase, the marginal balance in the flow ensures that the turbulent mixing of the (density) scalar is nevertheless effectively ‘locked’ to the turbulent mixing of momentum. We present supporting evidence for our parameterization through comparison with six oceanographic datasets that span various turbulence generation regimes and a wide range of geographical location and depth. Using these observations, we highlight the significance of parameterizing an inherently variable flux coefficient for capturing the turbulent flux associated with rare energetic, yet fundamentally shear-driven (and so not strongly stratified) overturns that make a disproportionate contribution to the total mixing. We also highlight the importance of representation of young turbulent patches in the parameterization for connecting the small scale physics to larger scale applications of mixing such as ocean circulation and tracer budgets. Shear-induced turbulence is therefore central to irreversible mixing in the world's oceans, apparently even close to the seafloor, and it is critically important to appreciate the inherent time dependence and evolution of mixing events: history matters to mixing.

scholarly journals Close Approach Astrometry: A Method for Improving Reference Systems

1991 ◽  
Vol 127 ◽  
pp. 319-322
Author(s):  
T. Nakamura ◽  
H. Shibasaki
Keyword(s):  
Reference Frame ◽  
Close Approach ◽  
Angular Distance ◽  
Reference Systems ◽  
Galilean Satellites ◽  
Single Data Point ◽  
Accuracy Of Measurements ◽  
Data Point ◽  
Single Data

AbstractFor improved establishment of the dynamical reference frame and tying it to the stellar reference frame, a method to observe close approach (CA) events between satellite and satellite and/or satellite and star is proposed here. The accuracy of measurements of angular distance is 0”.02 – 0”.03 for a single data point. We apply this technique fairly successfully to the CA events of the Galilean satellites and a preliminary orbital longitude correction to the E2X3 constants of J4 is obtained from eight CA observations ranging from 1987 to 1989.

scholarly journals Role of eyewall and rainband eddy forcing in tropical cyclone intensification

2019 ◽  
Vol 19 (22) ◽  
pp. 14289-14310 ◽  
Author(s):  
Ping Zhu ◽  
Bryce Tyner ◽  
Jun A. Zhang ◽  
Eric Aligo ◽  
Sundararaman Gopalakrishnan ◽  
...  
Keyword(s):  
Tropical Cyclone ◽  
Turbulent Mixing ◽  
Inner Core ◽  
Weather Research And Forecasting ◽  
Rapid Changes ◽  
Flow Feature ◽  
Secondary Circulations ◽  
Vertical Turbulent Mixing ◽  
Operational Models

Abstract. While turbulence is commonly regarded as a flow feature pertaining to the planetary boundary layer (PBL), intense turbulent mixing generated by cloud processes also exists above the PBL in the eyewall and rainbands of a tropical cyclone (TC). The in-cloud turbulence above the PBL is intimately involved in the development of convective elements in the eyewall and rainbands and consists of a part of asymmetric eddy forcing for the evolution of the primary and secondary circulations of a TC. In this study, we show that the Hurricane Weather Research and Forecasting (HWRF) model, one of the operational models used for TC prediction, is unable to generate appropriate sub-grid-scale (SGS) eddy forcing above the PBL due to a lack of consideration of intense turbulent mixing generated by the eyewall and rainband clouds. Incorporating an in-cloud turbulent-mixing parameterization in the vertical turbulent-mixing scheme notably improves the HWRF model's skills in predicting rapid changes in intensity for several past major hurricanes. While the analyses show that the SGS eddy forcing above the PBL is only about one-fifth of the model-resolved eddy forcing, the simulated TC vortex inner-core structure, secondary overturning circulation, and the model-resolved eddy forcing exhibit a substantial dependence on the parameterized SGS eddy processes. The results highlight the importance of eyewall and rainband SGS eddy forcing to numerical prediction of TC intensification, including rapid intensification at the current resolution of operational models.

scholarly journals Technical Note: On the puzzling similarity of two water balance formulas – Turc–Mezentsev vs. Tixeront–Fu

2019 ◽  
Vol 23 (5) ◽  
pp. 2339-2350 ◽  
Author(s):  
Vazken Andréassian ◽  
Tewfik Sari
Keyword(s):  
Water Balance ◽  
Mathematical Reasoning ◽  
Technical Note ◽  
The Other ◽  
Partial Differential ◽  
Mathematical Properties ◽  
The Difference ◽  
The One

Abstract. This Technical Note documents and analyzes the puzzling similarity of two widely used water balance formulas: Turc–Mezentsev and Tixeront–Fu. It details their history and their hydrological and mathematical properties, and discusses the mathematical reasoning behind their slight differences. Apart from the difference in their partial differential expressions, both formulas share the same hydrological properties, and it seems impossible to recommend one over the other as more “hydrologically founded”: hydrologists should feel free to choose the one they feel more comfortable with.

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