Modeling of the <i> M</i><sub>2</sub> surface and internal tides and their seasonal variability in the Arctic Ocean: Dynamics, energetics and tidally induced diapycnal diffusion

Каган, Б. А.; Sofina, E. V.; Тимофеев, А. А.

doi:10.1357/002224011798765312

Cited by 8 publications

(8 citation statements)

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“…A few centimeter change in amplitudes and tens of degree change in phases are observed for most regions that agree well with the findings from Kagan et al (2011) for M 2 tide, except around the Chukchi Sea near the eastern Siberia region where noticeable spatial changes in M 2 , S 2 , and K 1 tidal amplitudes and phases have been observed, particularly for S 2 and K 1 tides at latitudes higher than 66° (Figs. 3 and 4).…”

Section: Seasonal Ocean Tides Determination Over the Subarctic Ocean supporting

confidence: 89%

“…This generally causes a decrease in M 2 tidal amplitudes and an increase in tidal phases and hence changing the tidal characteristics and its energy dissipation (Kagan et al 2008). A more recent model simulation study on the seasonal variations of M 2 tide in the Arctic Ocean concluded that the tidal amplitude and phase during the summer and winter seasons differs by a few cm and tens of degrees, respectively (Kagan et al 2011). …”

Section: Introductionmentioning

confidence: 99%

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Evidences of Seasonal Variation in Altimetry Derived Ocean Tides in the Subarctic Ocean

Fok¹,

Shum²,

Yi³

et al. 2013

Terr. Atmos. Ocean. Sci.

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While the barotropic ocean tides in the deep ocean are well modeled to ~2 cm RMS, accurate tidal prediction in the icecovered polar oceans and near coastal regions remain elusive. A notable reason is that the most accurate satellite altimeters (TOPEX/Jason-1/-2), whose orbits are optimized to minimize the tidal aliasing effect, have spatial coverage limited to largely outside of the polar ocean. Here, we update the assessment of tidal models using 7 contemporary global and regional models, and show that the altimetry sea surface height (SSH) anomaly residual after tidal correction is 9 -12 cm RMS in the Subarctic Ocean. We then address the hypothesis whether plausible evidence of variable tidal signals exist in the seasonally ice-covered Subarctic Ocean, where the sea ice cover is undergoing rapid thinning. We first found a difference in variance reduction for multi-mission altimeter SSH anomaly residuals during the summer and winter seasons, with the residual during winter season 15 -30% larger than that during the summer season. Experimental seasonal ocean tide solutions derived from satellite altimetry reveals that the recovered winter and summer tidal constituents generally differ by a few cm in amplitude and tens of degrees in phase. Relatively larger seasonal tidal patterns, in particular for M 2 , S 2 and K 1 tides, have been identified in the Chukchi Sea study region near eastern Siberia, coincident with the seasonal presence and movement of sea ice.

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Section: Seasonal Ocean Tides Determination Over the Subarctic Ocean supporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Evidences of Seasonal Variation in Altimetry Derived Ocean Tides in the Subarctic Ocean

Fok¹,

Shum²,

Yi³

et al. 2013

Terr. Atmos. Ocean. Sci.

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“…Recent numerical model results show that there is significant internal tidal wave generation in the Arctic Ocean, with baroclinic tidal energy dissipation structures similar to but 2-3 orders of magnitude less than that observed on mid-Atlantic and Hawaiian ridges (Kagan et al, 2011). The average coefficient of diapycnal diffusion is found to be less than the canonical value of Atmos.…”

Section: Diapycnal Mixing In the Arctic Oceanmentioning

confidence: 82%

Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review

et al. 2014

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Abstract. The Arctic climate system includes numerous highly interactive small-scale physical processes in the atmosphere, sea ice, and ocean. During and since the International Polar Year 2007-2009, significant advances have been made in understanding these processes. Here, these recent advances are reviewed, synthesized, and discussed. In atmospheric physics, the primary advances have been in cloud physics, radiative transfer, mesoscale cyclones, coastal, and fjordic processes as well as in boundary layer processes and surface fluxes. In sea ice and its snow cover, advances have been made in understanding of the surface albedo and its relationships with snow properties, the internal structure of sea ice, the heat and salt transfer in ice, the formation of superimposed ice and snow ice, and the small-scale dynamics of sea ice. For the ocean, significant advances have been related to exchange processes at the ice-ocean interface, diapycnal mixing, double-diffusive convection, tidal currents and diurnal resonance. Despite this recent progress, some of these small-scale physical processes are still not sufficiently understood: these include wave-turbulence interactions in the atmosphere and ocean, the exchange of heat and salt at the ice-ocean interface, and the mechanical weakening of sea ice. Many other processes are reasonably well understood as stand-alone processes but the challenge is to understand their interactions with and impacts and feedbacks on other processes. Uncertainty in the parameterization of small-scale processes continues to be among the greatest challenges facing climate modelling, particularly in high latitudes. Further improvements in parameterization require new year-round field campaigns on the Arctic sea ice, closely combined with satellite remote sensing studies and numerical model experiments.

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“…The Yenisei Gulf is covered by ice in October -July. Tides are relatively low in the Yenisei Gulf, tidal amplitude and velocity do not exceed 0.5 m and 0.2 m/s [Kowalik and Proshutinsky, 1994;Padman and Erofeeva, 2004;Kagan et al, 2010Kagan et al, , 2011.…”

Section: Study Areamentioning

confidence: 99%

Influence of Estuarine Tidal Mixing on Structure and Spatial Scales of Large River Plumes

Osadchiev¹,

Щука²,

Spivak³

et al. 2019

Preprint

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Abstract. The Yenisei and Khatanga rivers are among the largest estuarine rivers that inflow to the Arctic Ocean. Discharge of the Yenisei River is one order of magnitude larger than that of the Khatanga River. However, spatial scales of buoyant plumes formed by freshwater runoffs from the Yenisei and Khatanga gulfs are similar. This feature is caused by different tidal forcing in these estuaries, which have similar sizes, climate conditions, and geomorphology. The Khatanga discharge exhibits strong tidal forcing that causes formation of a diluted bottom-advected plume in the Khatanga Gulf. This anomalously deep and weakly-stratified plume has a small freshwater fraction and, therefore, occupies a large area on the shelf. The Yenisei Gulf, on the other hand, is a salt-wedge estuary that receives a large freshwater discharge and is less affected by tidal mixing due to low tidal velocities. As a result, the low-salinity and strongly-stratified Yenisei plume has a large freshwater fraction and its horizontal size is relatively small. The obtained results show that estuarine tidal mixing determines freshwater fraction in these river plumes, which governs their depth and area after they spread from estuaries to coastal sea. Therefore, influence of estuarine mixing on spatial scales of a large river plume can be of the same importance as the roles of river discharge rate and wind forcing. In particular, rivers with similar discharge rates can form plumes with significantly different areas, while plumes with similar areas can be formed by rivers with significantly different discharge rates.

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Modeling of the M₂ surface and internal tides and their seasonal variability in the Arctic Ocean: Dynamics, energetics and tidally induced diapycnal diffusion

Cited by 8 publications

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Evidences of Seasonal Variation in Altimetry Derived Ocean Tides in the Subarctic Ocean

Evidences of Seasonal Variation in Altimetry Derived Ocean Tides in the Subarctic Ocean

Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review

Influence of Estuarine Tidal Mixing on Structure and Spatial Scales of Large River Plumes

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Modeling of the M2 surface and internal tides and their seasonal variability in the Arctic Ocean: Dynamics, energetics and tidally induced diapycnal diffusion

Cited by 8 publications

References 0 publications

Evidences of Seasonal Variation in Altimetry Derived Ocean Tides in the Subarctic Ocean

Evidences of Seasonal Variation in Altimetry Derived Ocean Tides in the Subarctic Ocean

Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review

Influence of Estuarine Tidal Mixing on Structure and Spatial Scales of Large River Plumes

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Modeling of the M₂ surface and internal tides and their seasonal variability in the Arctic Ocean: Dynamics, energetics and tidally induced diapycnal diffusion