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

Biasio, Francesco De; Miglietta, Mario Marcello; Zecchetto, S.; Valle, Antonio della

doi:10.5194/asr-11-41-2014

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…This is a requirement given by the general underestimation of ECMWF winds in the Mediterranean Sea (Zecchetto & De Biasio, 2007). The characteristics of these biases do not seem to be peculiar to the ECMWF global model, but are exhibited also by other atmospheric models (De Biasio, Miglietta, & Zecchetto, 2014). A relatively small part of the bias is possibly ascribed to the scatterometers themselves: in the present work we have used QuikSCAT, Oceansat-2, ASCAT-A and ASCAT-B data, and small biases are normal between different datasets.…”

Section: Discussionmentioning

confidence: 98%

Improvements of storm surge forecasting in the Gulf of Venice exploiting the potential of satellite data: the ESA DUE eSurge-Venice project

Biasio

Bajo

Vignudelli

et al. 2017

European Journal of Remote Sensing

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The northern Adriatic Sea is affected by storm surges, which often cause the flooding in Venice and the surrounding areas. We present the results of the eSurge-Venice project, funded by the European Space Agency (ESA) in the framework of its Data User Element programme: the project was aimed to demonstrate the potential of satellite data in improving storm surge forecasting, with focus on the Gulf of Venice. The satellite data used were scatterometer wind and altimeter sea level height. Hindcast experiments were conducted to assess the sensitivity of a storm surge model to a model wind forcing modified with scatterometer data and to altimeter retrievals assimilated with a dual 4D-Var system. The modified model wind forcing alone was responsible for a reduction of the mean difference between modelled and observed maximum surge peaks from −15.1 to −8.2 cm, while combining together scatterometer and altimeter data the mean difference further reduced to −6.0 cm. In terms of percent, the improvements in the reduction on the mean differences between modelled and observed surge peaks reaches 46% using only the scatterometer data, and 60% using both scatterometer and altimeter data.

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Section: Discussionmentioning

confidence: 98%

Improvements of storm surge forecasting in the Gulf of Venice exploiting the potential of satellite data: the ESA DUE eSurge-Venice project

Biasio

Bajo

Vignudelli

et al. 2017

European Journal of Remote Sensing

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“…The experience gained in the Adriatic Sea by using the data of some of the available LAM demonstrated that they do not provide performances better then those of ECMWF (De Biasio et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Mitigation of ECMWF–scatterometer wind biases in view of storm surge applications in the Adriatic Sea

Zecchetto

Valle

Biasio

2015

Advances in Space Research

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“…Other authors (e.g. Miglietta et al, 2012;De Biasio et al, 2014) also argue that local models could show more details (more detailed flow patterns) although worse statistics due to errors in timing and location, whilst global models would produce smoother results and probably much skillful forecasts. At this point, the computational cost would indicate which should be the atmospheric model to be considered depending on the skill assessment requirements.…”

Section: Final Remarksmentioning

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

Cited by 5 publications

References 25 publications

Improvements of storm surge forecasting in the Gulf of Venice exploiting the potential of satellite data: the ESA DUE eSurge-Venice project

Improvements of storm surge forecasting in the Gulf of Venice exploiting the potential of satellite data: the ESA DUE eSurge-Venice project

Mitigation of ECMWF–scatterometer wind biases in view of storm surge applications in the Adriatic Sea

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

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