Validation of the WAMC4 wave model for the Black Sea

Cherneva, Z.; Andreeva, Nataliya; Pilar, P.; Valchev, Nikolay; Petrova, Petya G.; Soares, C. Guedes

doi:10.1016/j.coastaleng.2008.02.028

Cited by 48 publications

(23 citation statements)

References 6 publications

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“…Results of WAM validation can be found in Valchev et al (2004) and Cherneva et al (2008), whilst validation of SWAN is presented in Valchev et al (2007Valchev et al ( , 2008. Models' validation showed good agreement between the hindcast model results and observations taken at several offshore measuring platforms.…”

Section: Modelling Approachmentioning

confidence: 99%

“…They adopted methodology employing meteorological stations' data to create a dataset of gridded wave fields. Later on, Cherneva et al (2008) presented results on adaptation of WAM model forced with REMO wind fields for the Black Sea, however, with no reference to the past wave climate. Application of different wind forcing and resulting wave field's quality for the western Black Sea is discussed in Davidan et al (2006).…”

Section: N N Valchev Et Al: Past and Recent Trends In The Western mentioning

confidence: 99%

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Past and recent trends in the western Black Sea storminess

Valchev

Trifonova

Andreeva

2012

Nat. Hazards Earth Syst. Sci.

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Abstract. Storms are one of the most important phenomena producing coastal hazards and endangering human life and activities. In recent decades storm climate has become a subject of increased public awareness and knowledge of this issue can help the society to meet future challenges related to extreme storm manifestation. Therefore, the goal of this study is to assess trends in past and recent storminess in the western Black Sea. The analysis of storm climate is based on a continuous hindcast dataset covering a substantial historical time-span of 63 yr . It was used to create a storm population and to estimate properties describing storminess (proxies). This was done by introduction of criteria allowing separation of events with low probability of occurrence and at the same time keeping the information on their pattern, i.e. properties of storm phases. Eleven storminess proxies were analysed and the most indicative appeared to be storm duration; integral, mean and specific storm wave energy; and wind velocity and direction, which were obtained for each storm season.While experiencing significant variability on a quasidecadal scale, no significant upward or downward trends in storminess were detected. For almost all proxies, an increasing trend until the 1980s or the 1990s and a return to average or even calm conditions in the late 2000s are traceable. On this background, a steady although not significant increase of wind velocity was detected. Results also indicate an alteration of storm pattern, manifested as shortening of storm duration due to a shift of the prevailing direction of storm forcing winds to the north. Nevertheless, incident wave energy in the storms' most intense phase remains significant. The obtained results are discussed with regard to the influence of the North Atlantic Oscillation on the hydrometeorological pattern of the Black Sea region as a part of the EuropeanAtlantic area, in particular with respect to the cyclonic activity.

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Section: Modelling Approachmentioning

confidence: 99%

Section: N N Valchev Et Al: Past and Recent Trends In The Western mentioning

confidence: 99%

Past and recent trends in the western Black Sea storminess

Valchev

Trifonova

Andreeva

2012

Nat. Hazards Earth Syst. Sci.

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“…It is suitable for any given regional grid with a prescribed topography. The grid resolution of model is arbitrary in space and time (Cherneva et al, 2008).…”

Section: Methodsmentioning

confidence: 99%

Modelling of Extreme Wave Climate in China Seas

Chen

Pan

2016

Journal of Coastal Research

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“…In addition, wave models are very sensitive to small variations within the wind fields which act as forcing input (Bertotti and Cavaleri, 2009). Moreover, Cherneva et al (2008) reported an underestimation by the WAM Cycle 4 model of significant wave heights in the case of low wind energy input and during combined swell-wind wave conditions. In contrast, the model shows relatively better performance for the case of high energy input.…”

Section: Introductionmentioning

confidence: 99%

“…They performed multi-decadal hindcasts for the Pacific Ocean, and found that in general, all three models show good skill, with WAVEWATCH III performing slightly better than the other two. For semi-enclosed basin scale modelling, some studies show that wave conditions can be well simulated in serious storm events (Mazarakis et al, 2012;Bertotti et al, 2011;Bertotti and Cavaleri, 2009;Cherneva et al, 2008). However, the quality of the wave model decreases substantially when the wind condition shows strong temporal and spatial gradients.…”

Section: Introductionmentioning

confidence: 99%

A validation of an operational wave and surge prediction system for the Dutch coast

Sembiring

Ormondt

Dongeren

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract. Knowledge of the actual condition of hydrodynamics in the nearshore and coastal area is essential for coastal monitoring activities. To this end, a coastal operational model system can serve as a tool in providing recent and up-to-date, state-of-the-art hydrodynamics along the coast. In this paper, we apply CoSMoS (Coastal Storm Modeling System), a generic operational wave and tide-surge modelling system applied here to predict waves and water levels along the Dutch coast. The CoSMoS application is not limited to storm impact prediction on the Dutch coast, but can also be applied to other coastal hazards such as rip currents and coastal flooding, in other environments. In this paper, we present the set-up of the CoSMoS system and a validation of the wave and surge model, with deep-water wave buoy data and tidal gauge measurements as ground truth validation material. The evaluation is presented as monthly error measures between computed parameters and observed ones. Hindcast results over the whole year of 2009 show that the simulated wave parameters and surge elevation from the CoSMoS are in good agreement with data, with average root mean square (rms) error over the year of 0.14 m for the surge elevation and 0.24 m for the significant wave height. It is noted that there is a tendency of the wave model to underestimate the height of northerly waves with lower frequencies (swell). Additionally, when a wave separation algorithm is applied on the overall spectrum, results show consistent underestimation of the swell component by the model, which for the Dutch coast will mainly come from the north, where the North Sea is open to the Atlantic Ocean. In the proposed model system, the swell boundary can have a significant effect on the simulated wave results, suggesting room for improvement for the swell boundary conditions to the north and the swell propagation within the Dutch Continental Shelf Model. Finally, we show that in forecast mode, CoSMoS can provide reasonably good wave and surge prediction.

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Validation of the WAMC4 wave model for the Black Sea

Cited by 48 publications

References 6 publications

Past and recent trends in the western Black Sea storminess

Past and recent trends in the western Black Sea storminess

Modelling of Extreme Wave Climate in China Seas

A validation of an operational wave and surge prediction system for the Dutch coast

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