The wind forecast for safety management of port areas

Solari, Giovanni; Repetto, Maria Pia; Burlando, Massimiliano; Gaetano, Patrizia De; Pizzo, Marina; Tizzi, Marco; Parodi, Mattia

doi:10.1016/j.jweia.2012.03.029

Cited by 111 publications

(43 citation statements)

References 15 publications

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“…The study we present here is innovative for three reasons: 1) it defines a standard methodology which allows improving meteorological forecasts using numerical sensitive analysis and a pre-established procedure, and it could be reproduced in any region; 2) the study uses and configures a mesoscale meteorological model over the metropolitan area of Huelva, incorporating for first time in the region, new physiographic databases and very high resolution in a 0.333 km horizontal grid, which allow to consider the extreme complexity of the Port of Huelva managed by Authority Port of Huelva and its influence over meteorological patterns; and 3) finally, in comparison with experiences in other ports or maritime regions of around the world, the meteorological forecasting system developed increases the resolution and the accuracy [24]- [28].…”

Section: Introductionmentioning

confidence: 99%

Defining a Standard Methodology to Obtain Optimum WRF Configuration for Operational Forecast: Application over the Port of Huelva (Southern Spain)

Arasa¹,

Porras²,

Domingo-Dalmau³

et al. 2016

ACS

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In this contribution, we calibrate the meteorological model weather and research forecasting (WRF) for operational forecasting in the Port of Huelva managed by the Authority Port of Huelva. Meteorological forecasting will allow reducing the impact of the meteorological phenomena over weather sensitive activities in the region. Concretely, the meteorological modeling developed will be used to analyze meteorological hazard impacts and to improve the management of the local air quality. To achieve these goals, numerous sensitive analyses corresponding to different model options have been developed. These analyses consider different physical and dynamical options, the coupling of very high resolution physiographic database (topography and land uses), and data assimilation. Comparing experiments, results with observational measures provide us by the Spanish National Meteorology Agency (AEMET). During a representative period, the optimum WRF configuration for the region is obtained. Calibration has been focused on wind due to this is the main risk factor in the region. When the model is satisfactorily calibrated, WRF is evaluated using whole modeling years 2012 and 2013, working with very high horizontal resolution, up to 0.333 km of horizontal grid resolution. Results obtained from the evaluation indicate that the numerical weather prediction system developed has a confidence level of 70% for the temperature, 81% and 66% for the wind speed and wind direction respectively, and 90% for the relative humidity. Methodology designed defines the quality control assurance of high-accuracy forecasting services of Meteosim S.L. R. Arasa et al.330

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Section: Introductionmentioning

confidence: 99%

Defining a Standard Methodology to Obtain Optimum WRF Configuration for Operational Forecast: Application over the Port of Huelva (Southern Spain)

Arasa¹,

Porras²,

Domingo-Dalmau³

et al. 2016

ACS

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“…In addition, since usually R G <^, Eqs. (11) and (12) may be combined into the unique chain of inequalities: Table 1 provides the mean value and the coefficient of variation (cov) of R, G max , Ĝ, and their square values R 2 , G max 2 , G 2 for 93 thunderstorm records detected in the Ports of Genoa, La Spezia and Livorno in the period 2011-2012(De Gaetano et al, 2014; moreover, it provides the mean value and the cov of G 1/ 2 . All the records examined here are characterized by T Δ ¼10 min, n s ¼10 Hz, T¼30 s and τ¼1 s. As discussed in Section 5, these ratios are crucial to assess the limit trends of the thunderstorm RS (Section 3) and BRS (Section 4).…”

Section: Wind Velocity Decomposition and Noteworthy Ratiosmentioning

confidence: 99%

“…The application of the fundamentals and definitions provided herein refers, as a case study, to the results of the wind monitoring campaign conducted for the European project "Wind and Ports" (Solari et al, 2012. Despite this, the methods introduced in the present paper are fully general and may be used in any context.…”

Section: Introductionmentioning

confidence: 99%

Thunderstorm response spectrum: Fundamentals and case study

Solari

Gaetano

Repetto

2015

Journal of Wind Engineering and Industrial Aerodynamics

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“…There were numerous field studies conducted to capture the downburst wind in nature. Examples of field studies are: Northern Illinois Meteorological Research on Downbursts (NIMROD) [5], Joint Airport Weather Studies (JAWS) [6], the Federal Aviation Administrative Lincoln Laboratory Operational Weather Studies (FLOWS) [7], the Thunderstorm Wind Project in Singapore [8], the European Project "Wind and Ports" [9][10][11], project SCOUT [12], and the "forensic study of the Lubbock-Reese downdraft of 2002" [13].…”

Section: Introductionmentioning

confidence: 99%

Temporal Variation of the Pressure from a Steady Impinging Jet Model of Dry Microburst-Like Wind Using URANS

Skote

Sim

Srikanth³

2018

Computation

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Abstract:The objective of this study is to investigate the temporal behavior of the pressure field of a stationary dry microburst-like wind phenomenon utilizing Unsteady Reynolds-averaged Navier-Stokes (URANS) numerical simulations. Using an axisymmetric steady impinging jet model, the dry microburst-like wind is simulated from the initial release of a steady downdraft flow, till the time after the primary vortices have fully convected out of the stagnation region. The validated URANS results presented herein shed light on the temporal variation of the pressure field which is in agreement with the qualitative description obtained from field measurements. The results have an impact on understanding the wind load on structures from the initial touch-down phase of the downdraft from a microburst. The investigation is based on CFD techniques, together with a simple impinging jet model that does not include any microphysical processes. Unlike previous investigations, this study focuses on the transient pressure field from a downdraft without obstacles.

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The wind forecast for safety management of port areas

Cited by 111 publications

References 15 publications

Defining a Standard Methodology to Obtain Optimum WRF Configuration for Operational Forecast: Application over the Port of Huelva (Southern Spain)

Defining a Standard Methodology to Obtain Optimum WRF Configuration for Operational Forecast: Application over the Port of Huelva (Southern Spain)

Thunderstorm response spectrum: Fundamentals and case study

Temporal Variation of the Pressure from a Steady Impinging Jet Model of Dry Microburst-Like Wind Using URANS

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