Correction of inertial oscillations by assimilation of HF radar data in a model of the Ligurian Sea

Vandenbulcke, Luc; Beckers, Jean-Marie; Barth, Alexander

doi:10.1007/s10236-016-1012-5

Cited by 22 publications

(26 citation statements)

References 40 publications

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“…In this context, data assimilation (DA) would provide the integrative framework for maximizing the joint utility of HFR-derived observations and coastal circulation models. A DA scheme could be incorporated in future operational versions of SAMPA in order to improve its predictive skills, since similar initiatives are currently ongoing with positive results (Vandenbulcke et al, 2017;Stanev et al, 2015). Although DA is a powerful technique, advances in coastal ocean modelling should also encompass an improved understanding of high-frequency small-scale physical processes; the accurate model parameterization of the effects triggered by such sub-grid phenomena; and the integration of air-sea, wave-current, and biophysical interactions by means of coupled forecasting systems (Wilkin et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Within this context, the AJ pattern has been described to oscillate between two main circulation modes at seasonal scale (Vargas-Yáñez et al, 2002): (i) a stronger AJ flows northeastwards during the first half of the year and (ii) a weaker AJ flows more southwardly towards the end of the year. Sea level pressure (SLP) variations over the western Mediterranean basin and local zonal wind (U ) fluctuations in the Alboran Sea are usually considered the main factors controlling and modulating the AJ variability (Macías et al, 2007b;García-Lafuente et al, 2002a, b).…”

Section: Strait Of Gibraltarmentioning

confidence: 99%

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Skill assessment of global, regional, and coastal circulation forecast models: evaluating the benefits of dynamical downscaling in IBI (Iberia–Biscay–Ireland) surface waters

et al. 2019

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Abstract. In this work, a multi-parameter inter-comparison of diverse ocean forecast models was conducted at the sea surface ranging from global to local scales in a two-phase stepwise strategy. Firstly, a comparison of CMEMS GLOBAL and the nested CMEMS IBI regional system was performed against satellite-derived and in situ observations. Results highlighted the overall benefits of both the GLOBAL direct data assimilation in open water and the increased horizontal resolution of IBI in coastal areas. Besides, IBI (Iberia–Biscay–Ireland) proved to capture shelf dynamics by better representing the horizontal extent and strength of a river freshwater plume, according to the results derived from the validation against in situ observations from a buoy moored in NW Spain. Secondly, a multi-model inter-comparison exercise for 2017 was performed in the Strait of Gibraltar among GLOBAL, IBI, and SAMPA (Sánchez-Garrido et al., 2013) high-resolution coastal forecast systems (partially nested to IBI) in order to elucidate the accuracy of each system to characterize the Atlantic Jet (AJ) inflow dynamics. A quantitative validation against hourly currents from high-frequency radar (HFR) highlighted both the steady improvement in AJ representation in terms of speed and direction when zooming from global to coastal scales through a multi-nesting model approach and also the relevance of a variety of factors at local scale such as a refined horizontal resolution, a tailored bathymetry, and a higher spatio-temporal resolution of the atmospheric forcing. The ability of each model to reproduce a 2 d quasi-permanent full reversal of the AJ surface inflow was examined in terms of wind-induced circulation patterns. SAMPA appeared to better reproduce the reversal events detected with HFR estimations, demonstrating the added value of imposing accurate meteorologically driven barotropic velocities in the open boundaries (imported from the NIVMAR (Álvarez-Fanjul et al., 2001) storm surge model) to take into account the remote effect of the atmospheric forcing over the entire Mediterranean basin, which was only partially included in IBI and GLOBAL systems. Finally, SAMPA coastal model outputs were also qualitatively analysed in the western Alboran Sea to put in a broader perspective the context of the onset, development, and end of such flow reversal episodes.

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Section: Discussionmentioning

confidence: 99%

Section: Strait Of Gibraltarmentioning

confidence: 99%

Skill assessment of global, regional, and coastal circulation forecast models: evaluating the benefits of dynamical downscaling in IBI (Iberia–Biscay–Ireland) surface waters

et al. 2019

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show abstract

“…In this context, data assimilation would provide the integrative framework for maximizing the joint utility of HFR-derived observations and coastal circulation models. A data assimilation scheme could be incorporated in future operational versions of SAMPA in order to improve its predictive skills, since similar initiatives are currently ongoing with positive results (Hernández-Lasheras et al, 2018;Vandenbulcke et al, 2017;Stanev et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Skill assessment of global, regional and coastal circulation forecast models: evaluating the benefits of dynamical downscaling in IBI surface waters

Lorente¹,

García-Sotillo²,

Amo-Baladrón³

et al. 2019

Preprint

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Abstract. In this work, a multi-parameter inter-comparison of diverse ocean forecast models was conducted at the sea surface, ranging from global to local scales in a two-phase strategy. Firstly, a comparison of CMEMS-GLOBAL and the nested CMEMS-IBI regional system was performed against satellite-derived and in situ observations. Results highlighted the overall benefits of both the GLOBAL data assimilation in open-waters and the increased horizontal resolution of IBI in coastal areas, respectively. Besides, IBI proved to capture shelf dynamics by better representing the horizontal extent and strength of a river freshwater plume, according to the results derived from the validation against in situ observations from a buoy moored in NW Spain. Secondly, a multi-model inter-comparison exercise for 2017 was performed in the Strait of Gibraltar among GLOBAL, IBI and the nested SAMPA high-resolution coastal forecast system in order to elucidate the accuracy of each system to characterize the Atlantic Jet (AJ) inflow dynamic. A quantitative validation against High Frequency radar (HFR) hourly currents highlighted both the steady improvement in AJ representation in terms of speed and direction when zooming from global to coastal scales though a multi-nesting model approach and also the relevance of a variety of factors at local scale such as a refined horizontal resolution, a tailored bathymetry and a higher spatio-temporal resolution of the atmospheric forcing. The ability of each model to reproduce a 2-day quasi-permanent full reversal of the AJ surface inflow was examined in terms of wind-induced circulation patterns. SAMPA appeared to better reproduce the reversal events detected with HFR estimations, demonstrating the potential added value of coastal models with respect to coarser parent regional systems. Finally, SAMPA coastal model outputs were also qualitatively analysed in the Western Alboran Sea to put in a broader perspective the context of the onset, development and end of such flow reversal episodes.

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“…The synoptic, high resolution, near real-time view of surface flow fields makes it possible to study local dynamics and transport processes over a large domain for years. Thus HFR systems have a number of useful real world applications: HFR data are used in search and rescue operations by US Navy Coast Guard [43]; HFR data are used to improve oil spill modelling performance [44][45][46]; HFR data are assimilated into models to enhance modelling accuracy [14,[47][48][49]. In this work, HFR surface currents were assimilated into models to explore potential for improving modelling performance, and to assess the accuracy of several potential data assimilation techniques.…”

Section: Hfr Systemmentioning

confidence: 99%

Comparative Study on Assimilating Remote Sensing High Frequency Radar Surface Currents at an Atlantic Marine Renewable Energy Test Site

Ren

Hartnett

2017

Remote Sensing

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A variety of data assimilation approaches have been applied to enhance modelling capability and accuracy using observations from different sources. The algorithms have varying degrees of complexity of implementation, and they improve model results with varying degrees of success. Very little work has been carried out on comparing the implementation of different data assimilation algorithms using High Frequency radar (HFR) data into models of complex inshore waters strongly influenced by both tides and wind dynamics, such as Galway Bay. This research entailed implementing four different data assimilation algorithms: Direct Insertion (DI), Optimal Interpolation (OI), Nudging and indirect data assimilation via correcting model forcing into a three-dimensional hydrodynamic model and carrying out detailed comparisons of model performances. This work will allow researchers to directly compare four of the most common data assimilation algorithms being used in operational coastal hydrodynamics. The suitability of practical data assimilation algorithms for hindcasting and forecasting in shallow coastal waters subjected to alternate wetting and drying using data collected from radars was assessed. Results indicated that a forecasting system of surface currents based on the three-dimensional model EFDC (Environmental Fluid Dynamics Code) and the HFR data using a Nudging or DI algorithm was considered the most appropriate for Galway Bay. The largest averaged Data Assimilation Skill Score (DASS) over the ≥6 h forecasting period from the best model NDA attained 26% and 31% for east-west and north-south surface velocity components respectively. Because of its ease of implementation and its accuracy, this data assimilation system can provide timely and useful information for various practical coastal hindcast and forecast operations.

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Correction of inertial oscillations by assimilation of HF radar data in a model of the Ligurian Sea

Cited by 22 publications

References 40 publications

Skill assessment of global, regional, and coastal circulation forecast models: evaluating the benefits of dynamical downscaling in IBI (Iberia–Biscay–Ireland) surface waters

Skill assessment of global, regional, and coastal circulation forecast models: evaluating the benefits of dynamical downscaling in IBI (Iberia–Biscay–Ireland) surface waters

Skill assessment of global, regional and coastal circulation forecast models: evaluating the benefits of dynamical downscaling in IBI surface waters

Comparative Study on Assimilating Remote Sensing High Frequency Radar Surface Currents at an Atlantic Marine Renewable Energy Test Site

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