The BSH's new operational circulation model using general vertical co-ordinates

Dick, S.; Kleine, Eckhard

doi:10.1109/baltic.2006.7266135

Cited by 12 publications

(15 citation statements)

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“…A version of the model described above with adaptive vertical coordinates (Dick and Kleine, 2007) was made available to the authors by the BSH and was used to generate an additional output data set that was analyzed in the present study. A grid with 900 m resolution was used for the German Bight, and a coarser resolution of 5 km was used for the remaining portion of the North Sea and Baltic Sea.…”

Section: A3 Bshcmodmentioning

confidence: 99%

“…BSHcmod is a 3-D prognostic model (Dick et al, 2001;Dick and Kleine, 2007) that was developed at the German Federal Maritime and Hydrographic Agency (BSH). The model is used for operational applications and is run in a two-way nested configuration to provide information on the sea level, temperature, salinity, and currents in the North Sea and the Baltic Sea.…”

Section: A3 Bshcmodmentioning

confidence: 99%

“…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%

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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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Section: A3 Bshcmodmentioning

confidence: 99%

Section: A3 Bshcmodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Stanev¹,

Schulz‐Stellenfleth²,

Staneva³

et al. 2016

Ocean Sci.

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show abstract

“…The ocean physics were modeled by the HIROMB-BOOS-Model (HBM) (Brüning et al, 2014;Poulsen et al, 2015), which is based on the BSH circulation model (BSHcmod) originally developed by the Federal Maritime and Hydrographic Agency (BSH) of Germany (Dick and Kleine, 2007). The HBM is used by German, Danish, Swedish, and Finish governmental agencies for operational ocean current and sea level prediction as well as for storm surge warning services.…”

Section: Oceanic Modelingmentioning

confidence: 99%

Evaluation of atmospheric nitrogen inputs into marine ecosystems of the North Sea and Baltic Sea – part A: validation and time scales of nutrient accumulation

Neumann

Karl

Radtke

et al. 2018

Preprint

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Abstract. The North Sea and the Baltic Sea are impacted by several anthropogenic activities, which put pressure onto the marine ecosystem. One of these pressures is the input of nitrogen compounds, which act as nutrients for phytoplankton growth and induce eutrophication. Atmospheric deposition is a relevant contributor to the marine nitrogen budget, making up 20% to 40% of the nitrogen input of the North Sea and Baltic Sea. But the concentrations of dissolved and particulate nitrogen in the sea are not only determined by the input, but also by the residence time of nitrogen in the system before it is removed by biogeochemical processes or physical advection. Our study aims to estimate the contribution of atmospherically deposited nitrogen to the nitrogen pools of North Sea and Baltic Sea. The contribution of atmospheric nitrogen deposition to dissolved inorganic nitrogen and to particulate organic nitrogen in the surface water was evaluated for both Seas in this study showing the relevance of deposition. Both seas differ significantly with respect to the residence time of water and nutrients. Hence, both water bodies were compared with respect to the accumulation of atmospheric nitrogen. Model simulations with the coupled physical biogeochemical model HBM-ERGOM were performed for this purpose. The fate of atmospheric nitrogen deposition was traced in the marine ecosystem. The model-predicted relevant nutrient concentrations in the surface layer compared well to measurements. Nutrient and oxygen concentrations in deep parts of the Baltic Sea were not properly reproduced but did not impact the simulation quality of surface layer concentrations. The denitrification in the Wadden Sea was underestimated by the model. Tagged dissolved inorganic nitrogen (DIN) with nitrogen from atmospheric deposition reaches a steady-state in the southern North Sea after two years of simulation. This is consistent with the published residence time of nutrients in this region. In contrast, in the Baltic Sea region, the atmospheric nitrogen shares increased year-by-year reaching a steady-state not before the fifth year. This is also consistent with published studies on the residence time of riverine nitrogen in the Baltic Sea. Atmospheric nitrogen shares were evaluated in detail in the second part of this study.

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“…At present two modelling-platforms are used in COSYNA: the General Estuarine Transport Model (GETM, Burchard and Bolding, 2002) and the BSH operational model (Dick et al, 2001;Dick and Kleine, 2007), which operates in a backup mode. GETM is a primitive equation prognostic three-dimensional hydrodynamic model in spherical coordinates.…”

Section: Numerical Modelsmentioning

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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The BSH's new operational circulation model using general vertical co-ordinates

Cited by 12 publications

References 0 publications

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

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

Evaluation of atmospheric nitrogen inputs into marine ecosystems of the North Sea and Baltic Sea – part A: validation and time scales of nutrient accumulation

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

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