Estimation of Coastal Currents Using a Soft Computing Method: A Case Study in Galway Bay, Ireland

Ren, Lei; Jin, Miao; Li, Yulong; Luo, Xiao; Li, Junxue; Hartnett, Michael

doi:10.3390/jmse7050157

Cited by 7 publications

(7 citation statements)

References 36 publications

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“…Aside from the specific results focusing on the dynamics of the GoN, the present study also provides wider-breath elements in relation to the potential use of HF radars as a long-term monitoring platform for wave fields. ADCPs have a well-documented track of records in surface wave measurements [83], whereas HF radars have a proven ability to measure surface currents accurately even over long temporal scales (e.g., [84,85]). In contrast, only a few works have used HF radar data to characterize the wave field over periods as long as almost two years [30][31][32][33][34].…”

Section: Discussionmentioning

confidence: 99%

Radar Technology for Coastal Areas and Open Sea Monitoring

Ludeno¹,

Uttieri²

2020

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is a researcher at the Institute for Electromagnetic Sensing of the Environment (IREA), National Research Council of Italy (CNR) of Naples, Italy. His research interests concern the field of applied electromagnetism, with special regard to remote and in situ sensing, and include electromagnetic diagnostics, inverse scattering and ground penetrating radar (GPR) surveys.Specifically, his research activities deal with: a) the development and assessment of innovative strategies for the estimation of sea state parameters, such as surface currents and bathymetry, from high-resolution nautical X-band radar data; b) design and validation of strategies for target imaging from data collected by means of radar system collected by different observation platform, and material characterization by using THz systems. He is participating/has participated in European and Italian research projects. Giovanni Ludeno has authored and co-authored more than 60 papers, mainly in scientific journals, proceedings of international conferences and books. He is a reviewer for several international journals.Marco Uttieri (Ph.D.) is a researcher at the Department of Integrative Marine Ecology-Stazione Zoologica Anton Dohrn (Naples, Italy). His research interests include the study of surface circulation and wave motion through high frequency (HF) coastal radars, in situ and remote sensing tools, and numerical models. In addition, his research focuses on the biology and ecology of zooplanktonic organisms from both marine and freshwater environments. He is the author of >40 contributions indexed in Scopus, and serves as an Editorial Board Member and Reviewer for numerous journals.vii Preface to "Radar Technology for Coastal Areas and Open Sea Monitoring"Monitoring oceans and coastal areas has a fundamental social impact, and this scenario is made still more challenging with the present and future issues related to climate change. In this context, radar systems have gained increasing interest, since they are remote sensing devices capable of providing information about sea waves, currents, tides, bathymetry, and wind. Moreover, radar systems can be designed to perform both large-scale and small-scale monitoring, with different spatial and temporal resolutions, and can be installed on different observation platforms (ship-based, ground-based, airborne, satellite or drones). In this regard, this book aims at engendering a virtual forum for ocean radar researchers, where state-of-the-art methodologies and applications concerning ocean monitoring by means of radar technologies are reviewed and discussed.

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Section: Discussionmentioning

confidence: 99%

Radar Technology for Coastal Areas and Open Sea Monitoring

Ludeno¹,

Uttieri²

2020

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“…A general classification of the contributions included in the present SI may be provided on the basis of the adopted remote sensing monitoring systems. Specifically, some of the presented studies deal with analyses of data acquired from radar systems installed in coastal areas, such as HF radar [7][8][9][10][11][12][13][14] and X-band nautical radar systems [15,16], while others were mounted on satellite platforms, such as Synthetic Aperture Radar (SAR) [17,18] and Radar Altimeters (RAs) [19]. An overview of the contributions published is provided in the following section, showing the wide range of applications and methodologies covered in the SI.…”

Section: Overviewmentioning

confidence: 99%

“…The authors show seasonal patterns in surface structures, but also reversal episodes, unveiling relationships with atmospheric and oceanic forcings, as well as with tides. The authors in [8] provide a new application for soft-computing techniques (random forest, RF) to forecast surface current fields in Galway Bay (Ireland). In this study, HF radar-derived fields, coupled with numerical outputs, are used as inputs for the RF model.…”

Section: Contributionsmentioning

confidence: 99%

Editorial for Special Issue “Radar Technology for Coastal Areas and Open Sea Monitoring”

Ludeno

Uttieri

2020

JMSE

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“…Several studies have compared in situ current measurements with HFR observations (e.g., Schott et al, 1985;Hammond et al, 1987;Rosenfeld, 1996, Emery et al, 2004;Paduan et al, 2006;Ohlmann et al, 2007;Liu et al, 2014;Solabarrieta et al, 2014;Bellomo et al, 2015;Lana et al, 2016;Hernández-Carrasco et al, 2018b) and have repeatedly demonstrated the potential of this technology. Presently, more than 250 HFR antennas are installed and active worldwide (Roarty et al, 2019; http://global-hfradar.org/, last access: 26 May 2021).…”

Section: Introductionmentioning

confidence: 99%

A new Lagrangian-based short-term prediction methodology for high-frequency (HF) radar currents

et al. 2021

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Abstract. The use of high-frequency radar (HFR) data is increasing worldwide for different applications in the field of operational oceanography and data assimilation, as it provides real-time coastal surface currents at high temporal and spatial resolution. In this work, a Lagrangian-based, empirical, real-time, short-term prediction (L-STP) system is presented in order to provide short-term forecasts of up to 48 h of ocean currents. The method is based on finding historical analogs of Lagrangian trajectories obtained from HFR surface currents. Then, assuming that the present state will follow the same temporal evolution as the historical analog, we perform the forecast. The method is applied to two HFR systems covering two areas with different dynamical characteristics: the southeast Bay of Biscay and the central Red Sea. A comparison of the L-STP methodology with predictions based on persistence and reference fields is performed in order to quantify the error introduced by this approach. Furthermore, a sensitivity analysis has been conducted to determine the limit of applicability of the methodology regarding the temporal horizon of Lagrangian prediction. A real-time skill score has been developed using the results of this analysis, which allows for the identification of periods when the short-term prediction performance is more likely to be low, and persistence can be used as a better predictor for the future currents.

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Estimation of Coastal Currents Using a Soft Computing Method: A Case Study in Galway Bay, Ireland

Cited by 7 publications

References 36 publications

Radar Technology for Coastal Areas and Open Sea Monitoring

Radar Technology for Coastal Areas and Open Sea Monitoring

Editorial for Special Issue “Radar Technology for Coastal Areas and Open Sea Monitoring”

A new Lagrangian-based short-term prediction methodology for high-frequency (HF) radar currents

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