Characterizing observed circulation patterns within a bay using HF radar and numerical model simulations

O’Donncha, Fearghal; Hartnett, Michael; Nash, Stephen; Ren, Lei; Ragnoli, Emanuele

doi:10.1016/j.jmarsys.2014.10.004

Cited by 59 publications

(59 citation statements)

References 61 publications

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“…These approaches offer further interesting possibilities for understanding the three-dimensional coastal circulation (O'Donncha et al, 2014;Cianelli et al, 2015;Ren et al, 2015a;Jordà et al, 2016). It can also extend HFR applications on biological, geochemical and several environmental issues, since ecological quantities or pollutants can be located deeper in the water columns and not only follow surface dynamics.…”

Section: Applications Of Hfr Measurements In the Framework Of The Eurmentioning

confidence: 99%

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

et al. 2017

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High Frequency Radar (HFR) is a land-based remote sensing instrument offering a unique insight to coastal ocean variability, by providing synoptic, high frequency and high resolution data at the ocean atmosphere interface. HFRs have become invaluable tools in the field of operational oceanography for measuring surface currents, waves and winds, with direct applications in different sectors and an unprecedented potential for the integrated management of the coastal zone. In Europe, the number of HFR networks has been showing a significant growth over the past 10 years, with over 50 HFRs currently deployed and a number in the planning stage. There is also a growing literature concerning the use of this technology in research and operational oceanography. A big effort is made in Europe toward a coordinated development of coastal HFR technology and its products within the framework of different European and international initiatives. One recent initiative has been to make an up-to-date inventory of the existing HFR operational systems in Europe, describing the characteristics of the systems, their operational products and applications. This paper offers a comprehensive review on the present status of European HFR network, and discusses the next steps toward the integration of HFR platforms as operational components of the European Ocean Observing System, designed to align and integrate Europe's ocean observing capacity for a truly integrated end-to-end observing system for the European coasts.

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Section: Applications Of Hfr Measurements In the Framework Of The Eurmentioning

confidence: 99%

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

et al. 2017

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“…The dynamics are a result of the oceanic flows to the bay from the adjacent shelf; freshwater discharges, primarily from the River Corrib; and wind driven currents. The entry and exit of water through the sounds of Galway Bay may be significantly affected by wind speed and direction along with tidal effects [27]. Due to its semi-enclosed nature (Fig.…”

Section: Introductionmentioning

confidence: 99%

Numerical modelling of the wave energy in Galway Bay

2015

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a b s t r a c t A coupled modeling system was implemented to characterize the wave conditions and assess the wave energy potential at Galway Bay using WAVEWATCH IIII (WWIII) for wave generation and deep water propagation and SWAN model for wave propagation in intermediate and shallow water. Wind fields were taken from ECMWF's ERA Interim data base. Validation tests were carried out for the period between 2007 and 2010 with buoy data so that the model's performance could be evaluated.The wave parameters considered for the comparisons in the time domain are significant wave height and mean period. Statistical analysis of the results is made and its time series evolution is also presented. For the energy assessment an evaluation of the spatial distribution of wave power is done and, since Galway Bay is a quarter scale test site for wave energy devices, statistical results were presented for three years of data, providing statistics of the expected wave energy resource in the Bay.

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“…Measurements of surface currents in Galway Bay have been validated with independent observations from Acoustic Doppler Current Profile (ADCP) by O'Donncha et al [20], and Ren et al [13].…”

Section: Introductionmentioning

confidence: 87%

Hindcasting and Forecasting of Surface Flow Fields through Assimilating High Frequency Remotely Sensing Radar Data

Ren

Hartnett

2017

Remote Sensing

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Abstract:In order to improve the forecasting ability of numerical models, a sequential data assimilation scheme, nudging, was applied to blend remotely sensing high-frequency (HF) radar surface currents with results from a three-dimensional numerical, EFDC (Environmental Fluid Dynamics Code) model. For the first time, this research presents the most appropriate nudging parameters, which were determined from sensitivity experiments. To examine the influence of data assimilation cycle lengths on forecasts and to extend forecasting improvements, the duration of data assimilation cycles was studied through assimilating linearly interpolated temporal radar data. Data assimilation nudging parameters have not been previously analyzed. Assimilation of HF radar measurements at each model computational timestep outperformed those assimilation models using longer data assimilation cycle lengths; root-mean-square error (RMSE) values of both surface velocity components during a 12 h model forecasting period indicated that surface flow fields were significantly improved when implementing nudging assimilation at each model computational timestep. The Data Assimilation Skill Score (DASS) technique was used to quantitatively evaluate forecast improvements. The averaged values of DASS over the data assimilation domain were 26% and 33% for east-west and north-south velocity components, respectively, over the half-day forecasting period. Correlation of Averaged Kinetic Energy (AKE) was improved by more than 10% in the best data assimilation model. Time series of velocity components and surface flow fields were presented to illustrate the improvement resulting from data assimilation application over time.

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Characterizing observed circulation patterns within a bay using HF radar and numerical model simulations

Cited by 59 publications

References 61 publications

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

Numerical modelling of the wave energy in Galway Bay

Hindcasting and Forecasting of Surface Flow Fields through Assimilating High Frequency Remotely Sensing Radar Data

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