scholarly journals One-dimensional modelling of upper ocean mixing by turbulence due to wave orbital motion

2014 ◽  
Vol 21 (1) ◽  
pp. 325-338 ◽  
Author(s):  
M. Ghantous ◽  
A. V. Babanin
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Upper Ocean ◽  
Breaking Wave ◽  
Ocean Mixing ◽  
One Dimensional ◽  
Modelling Experiment ◽  
Wave Induced ◽  
Upper Ocean Mixing

Abstract. Mixing of the upper ocean affects the sea surface temperature by bringing deeper, colder water to the surface. Because even small changes in the surface temperature can have a large impact on weather and climate, accurately determining the rate of mixing is of central importance for forecasting. Although there are several mixing mechanisms, one that has until recently been overlooked is the effect of turbulence generated by non-breaking, wind-generated surface waves. Lately there has been a lot of interest in introducing this mechanism into ocean mixing models, and real gains have been made in terms of increased fidelity to observational data. However, our knowledge of the mechanism is still incomplete. We indicate areas where we believe the existing parameterisations need refinement and propose an alternative one. We use two of the parameterisations to demonstrate the effect on the mixed layer of wave-induced turbulence by applying them to a one-dimensional mixing model and a stable temperature profile. Our modelling experiment suggests a strong effect on sea surface temperature due to non-breaking wave-induced turbulent mixing.

scholarly journals Upper Ocean Thermal Responses to Sea Spray Mediated Turbulent Fluxes during Typhoon Passage

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Lianxin Zhang ◽  
Changlong Guan ◽  
Chunjian Sun ◽  
Siyu Gao ◽  
Shaomei Yu
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Kuroshio Extension ◽  
Turbulent Fluxes ◽  
Sea Surface ◽  
Sea Spray ◽  
Upper Ocean ◽  
Ocean Temperature ◽  
Turbulent Model ◽  
The Kuroshio

A one-dimensional turbulent model is used to investigate the effect of sea spray mediated turbulent fluxes on upper ocean temperature during the passage of typhoon Yagi over the Kuroshio Extension area in 2006. Both a macroscopical sea spray momentum flux algorithm and a microphysical heat and moisture flux algorithm are included in this turbulent model. Numerical results show that the model can well reproduce the upper ocean temperature, which is consistent with the data from the Kuroshio Extension Observatory. Besides, the sea surface temperature is decreased by about 0.5°C during the typhoon passage, which also agrees with the sea surface temperature dataset derived from Advanced Microwave Scanning Radiometer for the Earth Observing and Reynolds. Diagnostic analysis indicates that sea spray acts as an additional source of the air-sea turbulent fluxes and plays a key role in increasing the turbulent kinetic energy in the upper ocean, which enhances the temperature diffusion there. Therefore, sea spray is also an important factor in determining the upper mixed layer depth during the typhoon passage.

A Multiple Linear Regression Algorithm for Sea Surface Temperature Retrieval by One-Dimensional Synthetic Aperture Microwave Radiometry

2020 ◽  
Vol 37 (9) ◽  
pp. 1753-1761
Author(s):  
Mengyan Feng ◽  
Weihua Ai ◽  
Guanyu Chen ◽  
Wen Lu ◽  
Shuo Ma
Keyword(s):  
Linear Regression ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Multiple Linear Regression ◽  
Incidence Angle ◽  
Regression Method ◽  
Sea Surface ◽  
Synthetic Aperture ◽  
Linear Regression Method ◽  
One Dimensional

AbstractOne-dimensional synthetic aperture microwave radiometer (1D-SAMR) can provide remote sensing images at a higher spatial resolution than those from traditional real aperture microwave radiometers. As 1D-SAMR operates at multiple incidence angles, we proposed a multiple linear regression method to retrieve sea surface temperature at an incidence angle between 0° and 65°. Assuming that a 1D-SAMR operates at various frequencies (i.e., 6.9, 10.65, 18.7, 23.8 and 36.5 GHz), a radiation transmission forward model was developed to simulate the brightness temperature measured by the 1D-SAMR. The sensitivity of the five frequencies to sea surface temperature was examined, and we evaluated the reliability of the regression method proposed in this study. Furthermore, 11 schemes with various frequency combinations were applied to retrieve sea surface temperature. The results showed that the five-frequency combination scheme performed better than the other schemes. This study also found that the accuracy of retrieved sea surface temperature is dependent on incidence angles. Finally, we suggested that the incidence angle range of the 1D-SAMR is necessary to be 30°–60° based on the relationship between the accuracy of retrieved sea surface temperature and the incidence angles.

Wave-induced upper-ocean mixing in a climate model of intermediate complexity

2009 ◽  
Vol 29 (3) ◽  
pp. 189-197 ◽  
Author(s):  
Alexander V. Babanin ◽  
Andrey Ganopolski ◽  
William R.C. Phillips
Keyword(s):  
Climate Model ◽  
Upper Ocean ◽  
Ocean Mixing ◽  
Intermediate Complexity ◽  
Wave Induced ◽  
Upper Ocean Mixing

scholarly journals Deglacial development of (sub) sea surface temperature and salinity in the subarctic northwest Pacific: Implications for upper-ocean stratification

2013 ◽  
Vol 28 (1) ◽  
pp. 91-104 ◽  
Author(s):  
Jan-Rainer Riethdorf ◽  
Lars Max ◽  
Dirk Nürnberg ◽  
Lester Lembke-Jene ◽  
Ralf Tiedemann
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Upper Ocean ◽  
Northwest Pacific ◽  
Ocean Stratification

scholarly journals Upper-Ocean Mixed Layer and Wintertime Sea Surface Temperature Anomalies in the North Pacific

2006 ◽  
Vol 19 (2) ◽  
pp. 300-307 ◽  
Author(s):  
Tomohiko Tomita ◽  
Masami Nonaka
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Mixed Layer ◽  
North Pacific ◽  
Sea Surface ◽  
Upper Ocean ◽  
Ocean Mixed Layer ◽  
The North ◽  
The Impact ◽  
The North Pacific

Abstract In the North Pacific, the wintertime sea surface temperature anomaly (SSTA), which is represented by March (SSTAMar), when the upper-ocean mixed layer depth (hMar) reaches its maximum, is formed by the anomalous surface forcing from fall to winter (S′). As a parameter of volume, hMar has a potential to modify the impact of S′ on SSTAMar. Introducing an upper-ocean heat budget equation, the present study identifies the physical relationship among the spatial distributions of hMar, S′, and SSTAMar. The long-term mean of hMar adjusts the spatial distribution of SSTAMar. Without the adjustment, the impact of S′ on SSTAMar is overestimated where the hMar mean is deep. Since hMar is partially due to seawater temperature, it leads to nonlinearity between the S′ and the SSTAMar. When the SSTAMar is negative (positive), the sensitivity to S′ is impervious (responsive) with the deepening (shoaling) of the hMar compared to the linear sensitivity. The thermal impacts from the ocean to the atmosphere might be underestimated under the assumption of the linear relationship.

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