Blending Surface Currents from HF Radar Observations and Numerical Modeling: Tidal Hindcasts and Forecasts

Stanev, Emil V.; Ziemer, F.; Schulz‐Stellenfleth, Johannes; Seemann, J.; Staneva, Joanna; Gurgel, Klaus-Werner

doi:10.1175/jtech-d-13-00164.1

Cited by 56 publications

(57 citation statements)

References 48 publications

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“…A number of publications already exists on the assimilation of surface HFR data (Breivik and Saetra, 2001;Paduan and Shulman, 2004;Barth et al, 2008Barth et al, , 2011Ren et al, 2015b;Sperrevik et al, 2015;Stanev et al, 2015;Iermano et al, 2016, to mention only a few examples). Using different FIGURE 5 | Example of Lagrangian application.…”

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

confidence: 99%

“…A growing number of European studies have been developed on the use of HFR data toward a better understanding of the surface ocean coastal dynamics (Shrira et al, 2001;Rubio et al, 2011;Schaeffer et al, 2011;Uttieri et al, 2011;Sentchev et al, 2013;Berta et al, 2014a;Shrira and Forget, 2015;Stanev et al, 2015;Falco et al, 2016). Moreover, since HFR data provide measurements of currents with a relatively wide spatial coverage and high spatial and temporal resolution in near real time (there are systems with lags of just 20 min, after generating the data), they have become invaluable tools in the field of operational oceanography.…”

Section: Introductionmentioning

confidence: 99%

“…In Europe, the number of systems is growing with over 50 HFRs currently deployed and a number in the planning stage. Nowadays, these systems are integrated in many European coastal observatories with proven potential for monitoring (e.g., Wyatt et al, 2006;Molcard et al, 2009;Berta et al, 2014b) and even providing short-term prediction of coastal currents (e.g., Orfila et al, 2015;Solabarrieta et al, 2016;Vilibić et al, 2016), and inputs for data assimilation and the validation and calibration of numerical ocean forecasting models, especially near the coast (e.g., Barth et al, 2008Barth et al, , 2011Marmain et al, 2014;Stanev et al, 2015;Iermano et al, 2016). The growing number of HFRs, the optimization of HFR operation against technical hitches and the need for complex data processing and analysis, highlight the urgent requirement to increase the coordination in the HFR community.…”

Section: Introductionmentioning

confidence: 99%

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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%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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“…The observation error specification is extremely challenging in the coastal zone; specific coastal processes necessitate the use of dynamically consistent errorprediction schemes (Stanev et al, 2015b). Most existing assimilation schemes assume unbiased observations with Gaussian noise, which is often unrealistic.…”

Section: The Variables Of Interest For Coastal Applications Includementioning

confidence: 99%

“…9 for their locations). Each radar measures the radial components of the surface currents (Stanev et al, 2015b;Baschek et al, 2016). By combining the data from the three radars, one can compute the surface current vectors over a relatively large region (Fig.…”

Section: The Variables Of Interest For Coastal Applications Includementioning

confidence: 99%

Ocean forecasting for the German Bight: from regional to coastal scales

Stanev¹,

Schulz‐Stellenfleth²,

Staneva³

et al. 2016

Ocean Sci.

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Abstract. This paper describes recent developments based on advances in coastal ocean forecasting in the fields of numerical modeling, data assimilation, and observational array design, exemplified by the Coastal Observing System for the North and Arctic Seas (COSYNA). The region of interest is the North and Baltic seas, and most of the coastal examples are for the German Bight. Several pre-operational applications are presented to demonstrate the outcome of using the best available science in coastal ocean predictions. The applications address the nonlinear behavior of the coastal ocean, which for the studied region is manifested by the tidal distortion and generation of shallow-water tides. Led by the motivation to maximize the benefits of the observations, this study focuses on the integration of observations and modeling using advanced statistical methods. Coastal and regional ocean forecasting systems do not operate in isolation but are linked, either weakly by using forcing data or interactively using two-way nesting or unstructured-grid models. Therefore, the problems of downscaling and upscaling are addressed, along with a discussion of the potential influence of the information from coastal observatories or coastal forecasting systems on the regional models. One example of coupling coarse-resolution regional models with a fineresolution model interface in the area of straits connecting the North and Baltic seas using a two-way nesting method is presented. Illustrations from the assimilation of remote sensing, in situ and high-frequency (HF) radar data, the prediction of wind waves and storm surges, and possible applications to search and rescue operations are also presented. Concepts for seamless approaches to link coastal and regional forecasting systems are exemplified by the application of an unstructured-grid model for the Ems Estuary.

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A numerical model for the entire Wadden Sea: Skill assessment and analysis of hydrodynamics

et al. 2016

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A baroclinic three‐dimensional numerical model for the entire Wadden Sea of the German Bight in the southern North Sea is first assessed by comparison to field data for surface elevation, current velocity, temperature, and salinity at selected stations and then used to calculate fluxes of volume and salt inside the Wadden Sea and the exchange between the Wadden Sea and the adjacent North Sea through the major tidal inlets. The model is simulating the reference years 2009–2011. An overview of tidal prisms and residual volume fluxes of the main inlets and their variability is given. In addition, data from an intensive observational campaign in a tidal channel south of the island of Spiekeroog as well as satellite images and observations of sea surface properties from a ship of opportunity are used for the skill assessment. Finally, the intensity of estuarine overturning circulation and its variability in the tidal gullies are quantified and analyzed as function of gravitational and wind straining using various estimates including Total Exchange Flow (TEF). Regional differences between the gullies are assessed and drivers of the estuarine circulation are identified. For some inlets, the longitudinal buoyancy gradient dominates the exchange flow, for some others wind straining is more important. Also the intensity of tidal straining (scaled covariance of eddy viscosity and vertical shear) depends on buoyancy gradient and wind forcing in different ways, depending on local topography, orientation toward the main wind direction, and influence by freshwater run off inside or outside the tidal basin.

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Blending Surface Currents from HF Radar Observations and Numerical Modeling: Tidal Hindcasts and Forecasts

Cited by 56 publications

References 48 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

Ocean forecasting for the German Bight: from regional to coastal scales

A numerical model for the entire Wadden Sea: Skill assessment and analysis of hydrodynamics

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