Conditional Maximum Covariance Analysis and Its Application to the Tropical Indian Ocean SST and Surface Wind Stress Anomalies*

2003 ◽  
Vol 16 (17) ◽  
pp. 2932-2938 ◽  
Author(s):  
Soon-Il An
Keyword(s):  
Indian Ocean ◽  
Wind Stress ◽  
Surface Wind ◽  
Tropical Indian Ocean ◽  
Covariance Analysis ◽  
Maximum Covariance Analysis ◽  
Surface Wind Stress ◽  
Conditional Maximum

A new mode of decadal variability in the Tropical Indian Ocean subsurface temperature and its association with heat redistribution

2021 ◽  
Author(s):  
Sandeep Mohapatra ◽  
Chellappan Gnanaseelan
Keyword(s):  
Indian Ocean ◽  
Wind Stress ◽  
Decadal Variability ◽  
Surface Wind ◽  
Heat Content ◽  
Tropical Indian Ocean ◽  
Meridional Overturning Circulation ◽  
Ekman Transport ◽  
Subsurface Temperature ◽  
Wind Stress Curl

<p>Similar to the Pacific and Atlantic, Tropical Indian Ocean (TIO) has its own internal climate mode of variabilities such as Indian Ocean Dipole (IOD) and subsurface mode (SSM). A typical interannual SSM is characterized by the meridional gradient in opposing subsurface temperature anomalies in the eastern equatorial IO and in the southwestern IO. Here in the present study, we have explored the structure and the underlying dynamics for the SSM in decadal time scale which has not been reported before. By analyzing different reanalysis products we observe that decadal SSM is characterized by a pure north-south pattern with the northern mode covering the entire equatorial belt which is different from interannual SSM. A north-south SSM is the leading mode of decadal variability in the thermocline and subsurface temperature over the TIO. Our preliminary analysis suggests that the decadal variability in the surface winds along the equatorial IO and the associated wind stress curl are found to be the primary forcing mechanisms for the decadal evolution of the north-south mode. Positive wind stress curl anomalies south of 8<sup>o</sup>S intensify the downwelling Rossby waves in the south during the positive phase of the decadal SSM. On the other hand, the northern cooling is driven mostly by the equatorial upwelling Kelvin waves and the Ekman divergence. Further, the phase transition in the SSM is primarily determined by the strength of the surface wind and the associated Ekman transport. The equatorial easterlies (westerlies) diverge (converge) the meridional Ekman transport, transporting heat towards the off-equatorial (equatorial) region during the positive (negative) phase. Consistently with SSM, upper 500m oceanic heat content reveals a conventional north-south dipole highlighting the importance of SSM on the TIO heat redistribution. This is further supported by the modulation of meridional overturning circulation and the meridional heat balance across the southern Indian Ocean (SIO). Overall the present study explores the underlying mechanism responsible for decadal SSM and its association with the heat distribution across the SIO.</p>

FEATURES OF WIND FIELD OVER THE SEA SURFACE IN THE COASTAL AREA BASED ON SAR OBSERVATIONS

2017 ◽  
Author(s):  
Anna Monzikova ◽  
Anna Monzikova ◽  
Vladimir Kudryavtsev Vladimir ◽  
Vladimir Kudryavtsev Vladimir ◽  
Alexander Myasoedov ◽  
...  
Keyword(s):  
Wind Stress ◽  
Surface Wind ◽  
Quantitative Description ◽  
Energy Resource ◽  
Resource Assessment ◽  
Internal Boundary Layer ◽  
Offshore Wind ◽  
Internal Boundary ◽  
Sar Images ◽  
Surface Wind Stress

“Wind-shadowing” effects in the Gulf of Finland coastal zone are analyzed using high resolution Envisat Synthetic Aperture Radar (SAR) measurements and model simulations. These effects are related to the internal boundary layer (IBL) development due to abrupt change the surface roughness at the sea-land boundary. Inside the "shadow" areas the airflow accelerates and the surface wind stress increases with the fetch. Such features can be revealed in SAR images as dark areas adjacent to the coastal line. Quantitative description of these effects is important for offshore wind energy resource assessment. It is found that the surface wind stress scaled by its equilibrium value (far from the coast) is universal functions of the dimensionless fetch Xf/G. Wind stress reaches an equilibrium value at the distance Xf/G of about 0.4.

Wind Stress Over Waves: Effects of Sea Roughness and Atmospheric Stability

2002 ◽  
Vol 124 (3) ◽  
pp. 169-172 ◽  
Author(s):  
Dag Myrhaug ◽  
Olav H. Slaattelid
Keyword(s):  
Boundary Layer ◽  
Wind Stress ◽  
Local Equilibrium ◽  
Surface Wind ◽  
Atmospheric Stability ◽  
Sea Surface ◽  
Stability Function ◽  
Sea Surface Wind ◽  
Surface Wind Stress ◽  
Sea Surface Roughness

The paper considers the effects of sea roughness and atmospheric stability on the sea surface wind stress over waves, which are in local equilibrium with the wind, by using the logarithmic boundary layer profile including a stability function, as well as adopting some commonly used sea surface roughness formulations. The engineering relevance of the results is also discussed.

Uncertainties in reanalysis surface wind stress and their relationship with observing systems

2018 ◽  
Vol 52 (5-6) ◽  
pp. 3061-3078 ◽  
Author(s):  
Caihong Wen ◽  
Arun Kumar ◽  
Yan Xue
Keyword(s):  
Wind Stress ◽  
Surface Wind ◽  
Surface Wind Stress ◽  
Observing Systems

scholarly journals Southern Ocean Wind Stress in CMIP5 Models: Role of Wind Fluctuations

2020 ◽  
Vol 33 (4) ◽  
pp. 1209-1226 ◽  
Author(s):  
Xia Lin ◽  
Xiaoming Zhai ◽  
Zhaomin Wang ◽  
David R. Munday
Keyword(s):  
Southern Ocean ◽  
Time Scales ◽  
Wind Stress ◽  
Surface Wind ◽  
Coupled Model ◽  
Cmip5 Models ◽  
Coupled Models ◽  
Surface Wind Stress ◽  
Stress Changes ◽  
The Mean

AbstractThe Southern Ocean (SO) surface wind stress is a major atmospheric forcing for driving the Antarctic Circumpolar Current and the global overturning circulation. Here the effects of wind fluctuations at different time scales on SO wind stress in 18 models from phase 5 of the Coupled Model Intercomparison Project (CMIP5) are investigated. It is found that including wind fluctuations, especially on time scales associated with synoptic storms, in the stress calculation strongly enhances the mean strength, modulates the seasonal cycle, and significantly amplifies the trends of SO wind stress. In 11 out of the 18 CMIP5 models, the SO wind stress has strengthened significantly over the period of 1960–2005. Among them, the strengthening trend of SO wind stress in one CMIP5 model is due to the increase in the intensity of wind fluctuations, while in all the other 10 models the strengthening trend is due to the increasing strength of the mean westerly wind. These discrepancies in SO wind stress trend in CMIP5 models may explain some of the diverging behaviors in the model-simulated SO circulation. Our results suggest that to reduce the uncertainty in SO responses to wind stress changes in the coupled models, both the mean wind and wind fluctuations need to be better simulated.

scholarly journals The Effects of Surface Wind Stress and Buoyancy Flux on the Evolution of a Front in a Turbulent Thermal Wind Balance

Fluids ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 87
Author(s):  
Matthew N. Crowe ◽  
John R. Taylor
Keyword(s):  
Wind Stress ◽  
Numerical Solutions ◽  
Surface Wind ◽  
Vertical Mixing ◽  
Spreading Rate ◽  
Buoyancy Flux ◽  
Thermal Wind ◽  
Surface Wind Stress ◽  
Shear Dispersion ◽  
Surface Buoyancy

Here we consider the effects of surface buoyancy flux and wind stress on a front in turbulent thermal wind (TTW) balance using the framework of Crowe and Taylor (2018). The changes in the velocity and density profiles induced by the wind stress and buoyancy flux interact with the TTW and can qualitatively change the evolution of the front. In the absence of surface-forcing, Crowe and Taylor (2018) found that shear dispersion associated with the TTW circulation causes the frontal width to increase. In many cases, the flow induced by the surface-forcing enhances the spreading rate. However, if the wind stress drives a cross-front flow which opposes the frontal buoyancy gradient or the buoyancy flux drives an unstable stratification, it is possible to obtain an up-gradient cross-front buoyancy flux, which can act to sharpen the front. In certain conditions, an equilibrium state develops where the tendency for the TTW circulation to spread the front is balanced by the frontogenetic tendency of the surface forces. We use numerical solutions to a nonlinear diffusion equation in order to test these predictions. Finally, we describe the connection between surface-forcing and vertical mixing and discuss typical parameters for mid-ocean fronts.

scholarly journals An Idealized Model of Weddell Gyre Export Variability

2014 ◽  
Vol 44 (6) ◽  
pp. 1671-1688 ◽  
Author(s):  
Zhan Su ◽  
Andrew L. Stewart ◽  
Andrew F. Thompson
Keyword(s):  
Wind Stress ◽  
Deep Water ◽  
Surface Wind ◽  
Oscillation Amplitude ◽  
Mesoscale Eddy ◽  
Eddy Diffusivity ◽  
Weddell Sea ◽  
Alternative Mechanism ◽  
Weddell Gyre ◽  
Surface Wind Stress

Abstract Recent observations suggest that the export of Antarctic Bottom Water (AABW) from the Weddell Sea has a seasonal cycle in its temperature and salinity that is correlated with annual wind stress variations. This variability has been attributed to annual vertical excursions of the isopycnals in the Weddell Gyre, modifying the water properties at the depth of the Orkney Passage. Recent studies attribute these variations to locally wind-driven barotropic dynamics in the northern Weddell Sea boundary current. This paper explores an alternative mechanism in which the isopycnals respond directly to surface Ekman pumping, which is coupled to rapidly responding mesoscale eddy buoyancy fluxes near the gyre boundary. A conceptual model of the interface that separates Weddell Sea Deep Water from Circumpolar Deep Water is described in which the bounding isopycnal responds to a seasonal oscillation in the surface wind stress. Different parameterizations of the mesoscale eddy diffusivity are tested. The model accurately predicts the observed phases of the temperature and salinity variability in relationship to the surface wind stress. The model, despite its heavy idealization, also accounts for more than 50% of the observed oscillation amplitude, which depends on the strength of the seasonal wind variability and the parameterized eddy diffusivity. These results highlight the importance of mesoscale eddies in modulating the export of AABW in narrow boundary layers around the Antarctic margins.

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