Influence of Novaya Zemlya Bora on Sea Waves: Satellite Measurements and Numerical Modeling

Шестакова, А. А.; Myslenkov, Stanislav; Kuznetsova, Alexandra

doi:10.3390/atmos11070726

Cited by 9 publications

(7 citation statements)

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“…Wind speed root mean square errors (RMSEs) were within satisfactory ranges (2.5-3 m/s), except for the above-mentioned stations, which gave values of > 3.5-4 m/s. In particular, large errors at the Malye Karmakuly station were associated with the extreme wind speeds often observed there, which were caused by the well-known Novaya Zemlya Bora [80,81]. Mesoscale processes, highlands, and rugged shorelines contributed significantly to the formation and variability of the downslope winds.…”

Section: Resultsmentioning

confidence: 99%

High-Resolution COSMO-CLM Modeling and an Assessment of Mesoscale Features Caused by Coastal Parameters at Near-Shore Arctic Zones (Kara Sea)

Platonov

Kislov

2020

Atmosphere

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Coastal Arctic regions are characterized by severe mesoscale weather events that include extreme wind speeds, and the rugged shore conditions, islands, and mountain ranges contribute to mesoscale event formation. High-resolution atmospheric modeling is a suitable tool to reproduce and estimate some of these events, and so the regional non-hydrostatic climate atmospheric model COSMO-CLM (Consortium for Small-scale Modeling developed within the framework of the international science group CLM-Community) was used to reproduce mesoscale circulation in the Arctic coast zone under various surface conditions. Mid-term experiments were run over the Arctic domain, especially over the Kara Sea region, using the downscaling approach, with ≈12 km and ≈3 km horizontal grid sizes. The best model configuration was determined using standard verification methods; however, the model run verification process raised questions over its quality and aptness based on the high level of small-scale coastline diversity and associated relief properties. Modeling case studies for high wind speeds were used to study hydrodynamic mesoscale circulation reproduction, and we found that although the model could not describe the associated wind dynamic features at all scales using ≈3 km resolution, it could simulate different scales of island wind shadow effects, tip jets, downslope winds, vortex chains, and so on, quite realistically. This initial success indicated that further research could reveal more about the detailed properties of mesoscale circulations and extreme winds by applying finer resolution modeling.

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Section: Resultsmentioning

confidence: 99%

High-Resolution COSMO-CLM Modeling and an Assessment of Mesoscale Features Caused by Coastal Parameters at Near-Shore Arctic Zones (Kara Sea)

Platonov

Kislov

2020

Atmosphere

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“…Atmospheric parameters were determined using the Weather Research and Forecasting, WRF-ARW (WRF), atmospheric model [13]. The WRF is suitable for use in a broad range of applications, including parameterization research, polar research [14] and hurricane research. The hurricane numerical simulation quality is determined from the accuracy of the prediction of its trajectory and intensity.…”

Section: Of 15mentioning

confidence: 99%

Wind Speed Analysis Method within WRF-ARW Tropical Cyclone Modeling

Poplavsky

Kuznetsova

Troitskaya

2023

JMSE

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This paper presents an analysis of a new method for retrieving the parameters of the atmospheric boundary layer in hurricanes. This method is based on the approximation of the upper parabolic part of the wind speed profile and the retrieval of the lower logarithmic part. Based on the logarithmic part, the friction velocity, near-surface wind speed and the aerodynamic drag coefficient are obtained. The obtained data are used for the verification of the modeling data in the WRF-ARW model. The case of the Irma hurricane is studied. Different configurations of the model are tested, which differ in the use of physical parameterizations. The difference of wind profiles in various sectors of the hurricane is studied.

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“…The mean model bias for the wind speed in the open sea was −1 m s −1 in experiments without simulating waves ("A" and "AO") and about −0.5 m s −1 in experiments taking waves into account when compared with satellite altimeters Envisat, ERS and GFO (see pp. 2-4 in [66] for the description of these altimeter data archives); the mean absolute error was about 1.5 m s −1 , and the correlation coefficient was 0.8 (Table 2). In general, the verification results indicate a satisfactory reproduction of the wind by the model, as well as the influence of wave accounting and the choice of roughness parameterization on the results of wind modeling (Table 2).…”

Section: Description Of the Bora Eipsode And Model Verificationmentioning

confidence: 99%

“…Unlike a downslope windstorm, gap winds spread over a greater distance and decay more slowly. The steepest waves (with steepness up to 0.06-0.07), typical for bora [66], were simulated near the coast, at a distance of up to 15 km from the shore. In general, the model adequately reproduced SWH during this episode (Figure 5a) in comparison with the altimeter data (correlation coefficient 0.8).…”

Section: Description Of the Bora Eipsode And Model Verificationmentioning

confidence: 99%

Impact of the Novaya Zemlya Bora on the Ocean-Atmosphere Heat Exchange and Ocean Circulation: A Case-Study with the Coupled Model

Шестакова

Debolskiy

2022

Atmosphere

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Novaya Zemlya bora is a strong downslope windstorm in the east of the Barents Sea. This paper considers the influence of the Novaya Zemlya bora on the turbulent heat exchange between the atmosphere and the ocean and on processes in the ocean. Another goal of this study is to demonstrate the sensitivity of simulated turbulent fluxes during bora to model coupling between atmosphere, ocean and sea waves. In this regard, a high-resolution numerical simulation of one winter bora episode was carried out using the COAWST (Coupled-Ocean-Atmosphere-Wave-Sediment Transport) modeling system, which includes the atmospheric (WRF-ARW model), oceanic (ROMS model), and sea waves (SWAN model) components. As shown by the simulation results, in the fully coupled experiment, turbulent heat exchange is enhanced in comparison with the uncoupled experiment (by 3% on average over the region). This is due to the atmosphere-sea-waves interaction, and the results are highly sensitive to the choice of roughness parameterization. The influence of the interaction of the atmospheric and oceanic components on turbulent fluxes in this episode is small on average. Bora has a significant impact on the processes in the ocean directly near the coast, forming a strong coastal current and making a decisive contribution to the formation of dense waters. In the open sea, the bora, or rather, the redistribution of the wind and temperature fields caused by the orography of Novaya Zemlya, leads to a decrease in ocean heat content losses due to a decrease in turbulent heat exchange in comparison with the experiment with flat topography.

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Influence of Novaya Zemlya Bora on Sea Waves: Satellite Measurements and Numerical Modeling

Cited by 9 publications

References 50 publications

High-Resolution COSMO-CLM Modeling and an Assessment of Mesoscale Features Caused by Coastal Parameters at Near-Shore Arctic Zones (Kara Sea)

High-Resolution COSMO-CLM Modeling and an Assessment of Mesoscale Features Caused by Coastal Parameters at Near-Shore Arctic Zones (Kara Sea)

Wind Speed Analysis Method within WRF-ARW Tropical Cyclone Modeling

Impact of the Novaya Zemlya Bora on the Ocean-Atmosphere Heat Exchange and Ocean Circulation: A Case-Study with the Coupled Model

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