Correcting surface winds by assimilating high-frequency radar surface currents in the German Bight

Barth, Alexander; Alvera‐Azcárate, Aida; Beckers, Jean-Marie; Staneva, Joanna; Stanev, Emil V.; Schulz‐Stellenfleth, Johannes

doi:10.1007/s10236-010-0369-0

Cited by 38 publications

(48 citation statements)

References 44 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%

“…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%

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

et al. 2017

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“…The link to the operational forecasting, which is usually performed by authorized state agencies (e.g., the German Federal Maritime and Hydrographic Agency known as the Bundesamt für Seeschifffahrt und Hydrographie, BSH, and the UK Met Office), is limited in the present study to using freely available data products from their numerical models (Dick et al, 2001;Dick and Kleine, 2007;O'Dea et al, 2012) for analyses and inter-comparisons. Skill estimates have been considered in earlier publications (e.g., Barth et al, 2011;Grayek et al, al., 2014; Zhang et al, 2016a), where more details are given about the systems' performance.…”

Section: Introductionmentioning

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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“…One important focus in the recent European COastal Sea Operational Observing and Forecasting System Project (ECOOP) with a participation of 72 institutions (see contributions to the present special issue) was on synergy between coastal forecasting and newly available data and methodologies (a step towards next generation forecasting systems). On the road of enhancing the exploitation of newly available near realtime data and improving the quality of coastal ocean forecasting research teams from the Universities of Sofia, Liege and Oldenburg, as well as the GKSS Research Centre initiated efficient cooperative research activities described by Staneva et al (2009), Grayek et al (2011 and Barth et al (2010Barth et al ( , 2011. National efforts have also contributed to the development in this field, one example is the observing system in Liverpool Bay (Proctor and Howarth, 2008).…”

Section: Introductionmentioning

confidence: 99%

Coastal observing and forecasting system for the German Bight – estimates of hydrophysical states

et al. 2011

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Abstract.A coastal observing system for Northern and Arctic Seas (COSYNA) aims at construction of a long-term observatory for the German part of the North Sea, elements of which will be deployed as prototype modules in Arctic coastal waters. At present a coastal prediction system deployed in the area of the German Bight integrates near real-time measurements with numerical models in a preoperational way and provides continuously state estimates and forecasts of coastal ocean state. The measurement suite contributing to the pre-operational set up includes in situ time series from stationary stations, a High-Frequency (HF) radar system measuring surface currents, a FerryBox system and remote sensing data from satellites. The forecasting suite includes nested 3-D hydrodynamic models running in a dataassimilation mode, which are forced with up-to-date meteorological forecast data. This paper reviews the present status of the system and its recent upgrades focusing on developments in the field of coastal data assimilation. Model supported data analysis and state estimates are illustrated using HF radar and FerryBox observations as examples. A new method combining radial surface current measurements from a single HF radar with a priori information from a hydrodynamic model is presented, which optimally relates tidal ellipses parameters of the 2-D current field and the M2 phase and magnitude of the radials. The method presents a robust and helpful first step towards the implementation of a more sophisticated assimilation system and demonstrates that even using only radials from one station can substantially benefit state estimates for surface currents. Assimilation of FerryBox data based on an optimal interpolation approach using a Kalman filter with a stationary background covariance maCorrespondence to: E. V. Stanev (emil.stanev@hzg.de) trix derived from a preliminary model run which was validated against remote sensing and in situ data demonstrated the capabilities of the pre-operational system. Data assimilation significantly improved the performance of the model with respect to both SST and SSS and demonstrated a good skill not only in the vicinity of the Ferry track, but also over larger model areas. The examples provided in this study are considered as initial steps in establishing new coastal ocean products enhanced by the integrated COSYNA-observations and numerical modelling.

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Correcting surface winds by assimilating high-frequency radar surface currents in the German Bight

Cited by 38 publications

References 44 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

Coastal observing and forecasting system for the German Bight – estimates of hydrophysical states

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