2019
DOI: 10.3390/geosciences9120511
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Improvement of an Operational Forecasting System for Extreme Tidal Events in Santos Estuary (Brazil)

Abstract: Forecasting estuarine circulation is a hot topic, especially in densely populated regions, like Santos (Brazil). This paper aims to improve a water-level forecasting system for the Santos estuary, particularly the physical forcing determining the residual tide, which in extreme cases increase the predicting errors. The MOHID hydrodynamic model was implemented with a nested downscaling approach. All automatic procedures to provide a high-resolution real-time forecast system are managed by the AQUASAFE software.… Show more

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Cited by 5 publications
(3 citation statements)
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“…Wind data were derived from The National Centers for Environmental Prediction (NCEP) [ 29 ]. For verification, the sea level obtained from the non-hydrostatic model is analyzed using the least square method [ [30] , [31] , [32] , [33] ] and then compared with tidal amplitude and phase components of the Tide Model Driver (TMD) [ 10 , 34 ].…”
Section: Methodsmentioning
confidence: 99%
“…Wind data were derived from The National Centers for Environmental Prediction (NCEP) [ 29 ]. For verification, the sea level obtained from the non-hydrostatic model is analyzed using the least square method [ [30] , [31] , [32] , [33] ] and then compared with tidal amplitude and phase components of the Tide Model Driver (TMD) [ 10 , 34 ].…”
Section: Methodsmentioning
confidence: 99%
“…The aim of the proposed analysis is to standardize the received envelope of the ultrasound signal so that the measurement is as independent as possible of the temperature and pressure of the liquid, as experimentally verified in the works of [21,26]. Statistical correlation and regression analysis are also used in other fields, for example in the analysis of motor bearings [27], the working conditions of photovoltaic panels [28], or in predictions [29].…”
Section: Factors Influencing Ultrasonic Signalsmentioning
confidence: 99%
“…Speranzini (2017) utilizou um modelo numérico com o objetivo de avaliar o transporte de sedimentos no Canal do Porto de Santos. Mendes et al (2019) avaliaram a otimização de um sistema operacional para previsão de eventos extremos de maré no Estuário de Santos, a partir do sistema de modelos desenvolvido pelo NPH-UNISANTA (Ribeiro et al, 2015), através de regressão linear para correção em pós-processamento da maré residual, para determinadas condições de agitação marítima. Costa et al (2019) implementaram um sistema operacional de previsão dos processos físicos no SESSVB, com o objetivo de monitorar e fornecer previsões de curto período das elevações da superfície do mar e das correntes superficiais.…”
Section: Levantamento Bibliográficounclassified