Investigation of the Barents Sea Upper Layer Response to the Polar Low in 1975

Diansky, N. A.; Panasenkova, Irina; Фомін, В. В.

doi:10.22449/1573-160x-2019-6-467-483

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…Not only for marine engineering and navigation safety, hurricane-generated wind and wave fields are essential components of the two-way, air-ocean coupled system to enter the dynamical evolution of extreme events [1][2][3]. Still, the generation and evolution of surface waves in high-wind conditions and extreme fetches remain poorly understood.…”

Section: Introductionmentioning

confidence: 99%

Surface Wave Developments under Tropical Cyclone Goni (2020): Multi-Satellite Observations and Parametric Model Comparisons

Yurovskaya

Kudryavtsev

Mironov³

et al. 2022

Remote Sensing

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Over the Philippine Sea, the tropical cyclone (TC) Goni reaches category 5 on 29–31 October 2020. Multi-satellite observations, including CFOSAT SWIM/SCAT and Sentinel-1 SAR data, are jointly analyzed to assess the performances of a parametric model. Recently developed to provide a fast estimation of surface wave developments under rapidly evolving TCs, this full 2D parametric model (KYCM) and its simplified self-similar solutions (TC-wave geophysical model function (TCW GMF)) are thoroughly compared with satellite observations. TCW GMF provides immediate first-guess estimates, at any location in space and time, for the significant wave height, wavelength, and wave direction parameters. Moving cyclones trigger strong asymmetrical wave fields, associated to a resonance between wave group velocity and TC heading velocity. For TC Goni, this effect is well evidenced and captured, leading to extreme waves reaching up to 8 m, further outrunning as swell systems with wavelengths about 200–250 m in the TC heading direction, slightly shifted leftwards. Considering wind field constrained with very highly resolved Sentinel-1 SAR measurements and medium resolution CFOSAT SCAT data, quantitative agreements between satellite measurements and KYCM/TCW GMF results are obtained. Far from the TC inner core (∼10 radii of maximum wind speed), the superposition of outrunning swell systems and local wind waves estimates leads to Hs values very close to altimeter measurements. This case study demonstrates the promising capabilities to combine multi-satellite observations, with analytical self-similar solutions to advance improved understandings of surface wave generation under extreme wind conditions.

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Section: Introductionmentioning

confidence: 99%

Surface Wave Developments under Tropical Cyclone Goni (2020): Multi-Satellite Observations and Parametric Model Comparisons

Yurovskaya

Kudryavtsev

Mironov³

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…To a first guess, the significant wave height and wavelength of these waves correspond to parameters of the waves generated under stationary PL with the same radius and wind speed. To introduce this initial condition, we assume that at the moment of PL formation, parameters of waves are given by (7) at t = t 0 defined by (6).…”

Section: Model Of Wave Evolutionmentioning

confidence: 99%

“…These systems usually have typical spatial scales of 100-1000 km, near-surface winds of at least 15 m/s, horizontal translation speed around 10 m/s (2-23 m/s) and exist from several hours to a couple of days [1][2][3][4]. PLs can affect the climate system through the strong heat fluxes from the ocean surface to atmosphere [5,6] and play an important role in large-scale ocean circulation [7]. Severe winds and PL-generated waves pose threats to coastal and island infrastructure, vessels, offshore drilling platforms and even human lives.…”

Section: Introductionmentioning

confidence: 99%

Spatial Probability Characteristics of Waves Generated by Polar Lows in Nordic and Barents Seas

2023

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Polar lows (PLs) are mesoscale, up to 1000 km, rather short lifetime (less than 15–30 h) cyclonic atmospheric systems formed in polar latitudes and associated with cold outbreak events. Strong winds, higher than 15 m/s, can then generate high surface waves which may pose danger to marine and coastal infrastructures. To investigate the probability of high waves generated by PLs in the Nordic and Barents Seas, analysis can be performed using available PL statistical distributions obtained from satellite passive microwave data, MODIS infrared imagery and ASCAT scatterometer data. Classical self-similar laws for wind waves development based on the extended duration concept are used to obtain first-guess estimates of significant wave height and the wavelength of waves generated by PL. All possible combinations of PL parameters (maximum wind speed, lifetime, diameter, translation velocity and direction of propagation) are considered to obtain the occurrence of waves exceeding specified levels, ranging from 2 to 15 m for significant wave height and from 100 to 500 m for wavelength. Particularly, PL-generated waves higher than 4 m occur up to 6 times a year, higher than 8 m occur up to 2–3 times a year, higher than 10 m occur up to once a year, the probability of 12 m waves is one event in several years and 15 m SWHs occur less than once in a decade. The area most affected by strong waves from PLs is the near shore zone around the Scandinavian peninsula, northward from the North Cape. The relative contribution of PLs in the formation of the waves field in the Nordic and Barents Seas is discussed.

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“…Although our knowledge about PLs has expanded significantly over the past decades, there are still many unresolved problems, including those related to the processes of atmosphere-ocean interaction. It has been reported that the strong surface winds from PLs may induce intensive upper ocean mixing, leading to positive sea surface temperature anomalies [3], increased depth of deep convection, which impacts large-scale ocean circulation [4], and strengthening of near-surface currents [5].…”

Section: Introductionmentioning

confidence: 99%

On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea

Kudryavtsev,

Stokoz,

Khvorostovsky

2023

Remote Sensing

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In the present paper, we investigate the sea surface height (SSH) anomalies caused by polar lows (PLs) crossing the central part of the Barents Sea and verify if the barotropic response is detectable in the shallow Arctic seas. Analysis of the SSH anomalies in response to the passage of two PLs is performed using satellite altimeter measurements and model simulations. The observed SSH anomalies contained an inverse barometer correction; therefore, they were presumably caused only by the action of surface wind stress in the PLs. The SSH anomalies along the satellite altimeter tracks had the shape of a trough, with the lowest surface height near the center of the PL. The observed anomalies were well distinguished within about one day after the PL passage, with the largest negative value of 0.6 m. The SSH anomalies are analyzed using a simplified model of the ocean barotropic response to the surface wind stress, derived from the hourly wind fields provided in the ERA5 reanalysis dataset. The model quantitatively reproduced the SSH anomalies along most satellite altimeter tracks crossing the PL trajectories. The model simulations revealed that the largest negative SSH anomalies were observed in areas where the PL translation velocity was low and its moving direction changed with the trajectory curvature radius, which was much smaller than the barotropic radius of deformation. The estimated quasi-geostrophic current velocities corresponding to the SSH anomalies in the wakes of the PLs reached 0.15 m/s, which were comparable to the current velocities observed in the Barents Sea.

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Investigation of the Barents Sea Upper Layer Response to the Polar Low in 1975

Cited by 7 publications

References 25 publications

Surface Wave Developments under Tropical Cyclone Goni (2020): Multi-Satellite Observations and Parametric Model Comparisons

Surface Wave Developments under Tropical Cyclone Goni (2020): Multi-Satellite Observations and Parametric Model Comparisons

Spatial Probability Characteristics of Waves Generated by Polar Lows in Nordic and Barents Seas

On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea

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