Assessment of wind quality for oceanographic modelling in semi-enclosed basins

Signell, Richard P.; Carniel, Sandro; Cavaleri, Luigi; Chiggiato, Jacopo; Doyle, James D.; Pullen, Julie; Sclavo, Mauro

doi:10.1016/j.jmarsys.2004.03.006

Cited by 152 publications

(102 citation statements)

References 23 publications

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“…The highest-resolution model shows better responses, since it reproduces more realistically wind fields and discriminates topographic structures such as mountains and gaps between them. However, correlation in some cases is higher in coarse models (WRF9), agreeing with Signell et al (2005), who demonstrate that sometimes the higher-resolution models would present lower correlation due to higher "noise" (more variability) compared to the coarser models. Other authors (e.g.…”

Section: Final Remarkssupporting

confidence: 86%

“…In recent years, the application of numerical models in both the atmosphere and oceans has contributed to improving the understanding and description of this variability (Schaeffer et al, 2011). Moreover, modelling studies have revealed that the model resolution is a key factor for the correct representation of wind patterns, which could be essential in a correct prediction of flood episodes (Brecht and Frank, 2014) and could allow for the correct application of hydrodynamic modelling (Signell et al, 2005;Bignami et al, 2007). Several authors have described wind variability in lakes (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Wind variability in a coastal area (Alfacs Bay, Ebro River delta)

Cerralbo

Grifoll

Moré³

et al. 2015

Adv. Sci. Res.

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Abstract. Wind spatial heterogeneity in a coastal area (Alfacs Bay, northwestern Mediterranean Sea) is described using a set of observations and modelling results. Observations in three meteorological stations (during 2012-2013) along the coastline reveal that wind from the N-NW (strongest winds in the region) appears to be affected by the local orography promoting high wind variability on relatively short spatial scales (of the order of few kilometres). On the other hand, sea breezes in late spring and summer also show noticeable differences in both spatial distribution and duration. The importance of wind models' spatial resolution is also assessed, revealing that high resolution ( = 3 km) substantially improves the results in comparison to coarse resolution (9 km). The highest-resolution model tested (400 m) also presents noticeable improvements during some events, showing spatial variability not revealed by coarser models. All these models are used to describe and understand the spatial variability of the typical wind events in the region. The results presented in this contribution should be considered on hydrodynamic, ecological and risk management investigations in coastal areas with complex orography.

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Section: Final Remarkssupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Wind variability in a coastal area (Alfacs Bay, Ebro River delta)

Cerralbo

Grifoll

Moré³

et al. 2015

Adv. Sci. Res.

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“…Thus, a smooth forecast can lead to better verification statistics than a forecast with a correct amplitude in structural features (Warner, 2011). This aspect is also highlighted by Signell et al (2005), who conducted extensive comparison of NWP forecast wind fields from a GCM and three LAMs of different spatial resolution with in-situ data. They found that the temporal correlation between in-situ data and GCM was better than with LAMs, and ascribed this result to the fact that large-scale features can be predicted in a deterministic way (the GCM nominal grid size was 40 km), while small-scale features are stochastic, and their prediction can thus be misrepresented in time and space, especially by LAMs.…”

Section: Discussionmentioning

confidence: 92%

Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic Sea

et al. 2014

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Abstract.We compare the sea surface wind fields forecasted by a Global Circulation Model (GCM) and three Limited Area Models (LAMs) in an operational-like set-up, with the wind remotely sensed by the NASA QuikSCAT scatterometer. The comparison is performed for a single case of Bora wind in the Adriatic Sea, with the purpose to understand the ability of the model forecasts in reproducing the mesoscale features captured by the scatterometer, and to investigate on the suitability of LAM and GCM forecasts as possible forcing in storm surge models (SSMs). The performance is evaluated by means of statistical parameters regarding wind speed and direction showing that, at least in terms of classical statistical parameters, the GCM offer the most advantageous choice in terms of cost/benefit.

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“…The values of sea surface elevation at the sea boundary were imposed from the measurements registered by the tide gauge at Punta Corsini (Ravenna) and the wind fields from a local-area meteo model (Signell et al 2005).…”

Section: Methodsmentioning

confidence: 99%

“…Dominant waves in the region of interest are mainly impacting from the NE and SE sectors (Bora and Sirocco, respectively; see Signell et al 2005, Sclavo et al 1996, Dorman et al 2006; the former, driven by the strongest winds, can result in significant wave heights of more than 3 meters, while the latter are characterized by less energy but by a longer fetch. Both situations are therefore responsible for significant erosion processes and flooding.…”

Section: The Study Areamentioning

confidence: 99%

Towards validating a last generation, integrated wave-current-sediment numerical model in coastal regions using video measurements

Carniel

Sclavo

Archetti

2011

Oceanological and Hydrobiological Studies

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This paper presents the first steps in the implementation of a morphological numerical model to be applied in the Bevano River region, a shallow water area in the Adriatic Sea, with the aim of helping the identification and assessment of erosional patterns and bottom morphological modifications induced by severe marine storms. The numerical modeling, performed using a fully 3D coupled wave-current-sediment version of the ROMS model, has been complemented with in situ data analysis and observations: a first qualitative validation of the results was given by the analysis of images acquired via an ARGUS video station.Hydrodynamic modeling highlighted how shear bottom stresses and bottom currents fields were heavily influenced by severe storm situations, and had large effects on the morphology of shallow regions. The correlation between the wave-current induced bottom stresses and the resulting topography was investigated. Nearshore hydrodynamics modeling results demonstrated the dominant role played by alongshore sediment * Corresponding author: sandro.carniel@ismar.cnr.it transport, with the magnitude of both cross-and along-shore wave-induced currents strongly depending on wave height and direction.We found a good qualitative conformity between the results of the numerical models applied during a "Bora" storm and the corresponding video observations; both techniques indicated the migration of the existing sandbar within the range of about 40 m seaward.Results show how integrated numerical open source tools, often used in oceanography, are becoming suitable for both preliminary investigations and for planning the effective littoral management, and how their calibration can be supported by the use of new low cost techniques, such as video measurements.

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Assessment of wind quality for oceanographic modelling in semi-enclosed basins

Cited by 152 publications

References 23 publications

Wind variability in a coastal area (Alfacs Bay, Ebro River delta)

Wind variability in a coastal area (Alfacs Bay, Ebro River delta)

Numerical models sea surface wind compared to scatterometer observations for a single Bora event in the Adriatic Sea

Towards validating a last generation, integrated wave-current-sediment numerical model in coastal regions using video measurements

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