Articles | Volume 7, issue 5
https://doi.org/10.5194/os-7-569-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-7-569-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Sep 2011
Research article |
| 14 Sep 2011
Coastal observing and forecasting system for the German Bight – estimates of hydrophysical states
E. V. Stanev
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht (HZG), Max-Planck-Strasse 1, 21502 Geesthacht, Germany
J. Schulz-Stellenfleth
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht (HZG), Max-Planck-Strasse 1, 21502 Geesthacht, Germany
J. Staneva
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht (HZG), Max-Planck-Strasse 1, 21502 Geesthacht, Germany
S. Grayek
Institute for Chemistry and Biology of the Sea (ICBM), University of Oldenburg, Carl-von-Ossietzky-Strasse 9–11, 26111 Oldenburg, Germany
J. Seemann
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht (HZG), Max-Planck-Strasse 1, 21502 Geesthacht, Germany
W. Petersen
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht (HZG), Max-Planck-Strasse 1, 21502 Geesthacht, Germany
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Cited
34 citations as recorded by crossref.
- Tidal wave transformations in the German Bight E. Stanev et al. https://doi.org/10.1007/s10236-014-0733-6
- Ocean forecasting for the German Bight: from regional to coastal scales E. Stanev et al. https://doi.org/10.5194/os-12-1105-2016
- On Using Lagrangian Drift Simulations to Aid Interpretation of in situ Monitoring Data U. Callies et al. https://doi.org/10.3389/fmars.2021.666653
- Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4 T. Baracchini et al. https://doi.org/10.5194/gmd-13-1267-2020
- Spatial dynamics of eukaryotic microbial communities in the German Bight P. Sprong et al. https://doi.org/10.1016/j.seares.2020.101914
- LG-Mod: A Modified Local Gradient (LG) Method to Retrieve SAR Sea Surface Wind Directions in Marine Coastal Areas F. Rana et al. https://doi.org/10.1155/2016/9565208
- Implementation and validation of a multi-domain coastal hazard forecasting system in an open bay N. Valchev et al. https://doi.org/10.1016/j.coastaleng.2017.08.008
- The role of density gradients on tidal asymmetries in the German Bight E. Stanev et al. https://doi.org/10.1007/s10236-014-0784-8
- Evaluation of numerical models by FerryBox and fixed platform in situ data in the southern North Sea M. Haller et al. https://doi.org/10.5194/os-11-879-2015
- Development of a coastal information system for the management of Jeddah coastal waters in Saudi Arabia R. Mayerle et al. https://doi.org/10.1016/j.cageo.2015.12.006
- Airborne LiDAR Measurements of Sea Surface Properties in the German Bight K. Barfuss et al. https://doi.org/10.1109/TGRS.2020.3017861
- High-resolution satellite turbidity and sea surface temperature observations of river plume interactions during a significant flood event V. Brando et al. https://doi.org/10.5194/os-11-909-2015
- Blending Surface Currents from HF Radar Observations and Numerical Modeling: Tidal Hindcasts and Forecasts E. Stanev et al. https://doi.org/10.1175/JTECH-D-13-00164.1
- Enhancing coastal winds and surface ocean currents with deep learning for short-term wave forecasting M. García-León et al. https://doi.org/10.5194/os-21-3265-2025
- Developing European operational oceanography for Blue Growth, climate change adaptation and mitigation, and ecosystem-based management J. She et al. https://doi.org/10.5194/os-12-953-2016
- Potential for an underwater glider component as part of the Global Ocean Observing System T. Liblik et al. https://doi.org/10.1016/j.mio.2016.05.001
- A new Lagrangian-based short-term prediction methodology for high-frequency (HF) radar currents L. Solabarrieta et al. https://doi.org/10.5194/os-17-755-2021
- Coastal flooding: impact of waves on storm surge during extremes – a case study for the German Bight J. Staneva et al. https://doi.org/10.5194/nhess-16-2373-2016
- Coastal Ocean Forecasting: system integration and evaluation V. Kourafalou et al. https://doi.org/10.1080/1755876X.2015.1022336
- The Coastal Observing System for Northern and Arctic Seas (COSYNA) B. Baschek et al. https://doi.org/10.5194/os-13-379-2017
- Assimilating operational SST and sea ice analysis data into an operational circulation model for the coastal seas of China Q. Ji et al. https://doi.org/10.1007/s13131-015-0691-y
- Wave modelling for the German Bight coastal-ocean predicting system J. Staneva et al. https://doi.org/10.1088/1742-6596/633/1/012117
- Coastal Ocean Forecasting: science foundation and user benefits V. Kourafalou et al. https://doi.org/10.1080/1755876X.2015.1022348
- A Regional Operational Model for the North East Atlantic: Model Configuration and Validation H. Nagy et al. https://doi.org/10.3390/jmse8090673
- Assimilating NOAA SST data into the BSH operational circulation model for the North and Baltic Seas: Inference about the data S. Losa et al. https://doi.org/10.1016/j.jmarsys.2012.07.008
- Making coastal research useful – cases from practice H. von Storch et al. https://doi.org/10.1016/j.oceano.2014.09.001
- Bridging the gap between observational oceanography and users C. Eschenbach https://doi.org/10.5194/os-13-161-2017
- An operational model for the West Iberian coast: products and services M. Mateus et al. https://doi.org/10.5194/os-8-713-2012
- State estimation of tidal hydrodynamics using ensemble Kalman filter H. Tamura et al. https://doi.org/10.1016/j.advwatres.2013.11.002
- Coupling of wave and circulation models in coastal–ocean predicting systems: a case study for the German Bight J. Staneva et al. https://doi.org/10.5194/os-12-797-2016
- Accessing diverse data comprehensively – CODM, the COSYNA data portal G. Breitbach et al. https://doi.org/10.5194/os-12-909-2016
- Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter X. Liang et al. https://doi.org/10.1175/JTECH-D-16-0166.1
- Analysis of the upscaling problem – A case study for the barotropic dynamics in the North Sea and the German Bight J. Schulz-Stellenfleth & E. Stanev https://doi.org/10.1016/j.ocemod.2016.02.002
- An operational biogeochemical model of the North-East Atlantic: Model description and skill assessment T. Dabrowski et al. https://doi.org/10.1016/j.jmarsys.2013.08.001
34 citations as recorded by crossref.
- Tidal wave transformations in the German Bight E. Stanev et al. https://doi.org/10.1007/s10236-014-0733-6
- Ocean forecasting for the German Bight: from regional to coastal scales E. Stanev et al. https://doi.org/10.5194/os-12-1105-2016
- On Using Lagrangian Drift Simulations to Aid Interpretation of in situ Monitoring Data U. Callies et al. https://doi.org/10.3389/fmars.2021.666653
- Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4 T. Baracchini et al. https://doi.org/10.5194/gmd-13-1267-2020
- Spatial dynamics of eukaryotic microbial communities in the German Bight P. Sprong et al. https://doi.org/10.1016/j.seares.2020.101914
- LG-Mod: A Modified Local Gradient (LG) Method to Retrieve SAR Sea Surface Wind Directions in Marine Coastal Areas F. Rana et al. https://doi.org/10.1155/2016/9565208
- Implementation and validation of a multi-domain coastal hazard forecasting system in an open bay N. Valchev et al. https://doi.org/10.1016/j.coastaleng.2017.08.008
- The role of density gradients on tidal asymmetries in the German Bight E. Stanev et al. https://doi.org/10.1007/s10236-014-0784-8
- Evaluation of numerical models by FerryBox and fixed platform in situ data in the southern North Sea M. Haller et al. https://doi.org/10.5194/os-11-879-2015
- Development of a coastal information system for the management of Jeddah coastal waters in Saudi Arabia R. Mayerle et al. https://doi.org/10.1016/j.cageo.2015.12.006
- Airborne LiDAR Measurements of Sea Surface Properties in the German Bight K. Barfuss et al. https://doi.org/10.1109/TGRS.2020.3017861
- High-resolution satellite turbidity and sea surface temperature observations of river plume interactions during a significant flood event V. Brando et al. https://doi.org/10.5194/os-11-909-2015
- Blending Surface Currents from HF Radar Observations and Numerical Modeling: Tidal Hindcasts and Forecasts E. Stanev et al. https://doi.org/10.1175/JTECH-D-13-00164.1
- Enhancing coastal winds and surface ocean currents with deep learning for short-term wave forecasting M. García-León et al. https://doi.org/10.5194/os-21-3265-2025
- Developing European operational oceanography for Blue Growth, climate change adaptation and mitigation, and ecosystem-based management J. She et al. https://doi.org/10.5194/os-12-953-2016
- Potential for an underwater glider component as part of the Global Ocean Observing System T. Liblik et al. https://doi.org/10.1016/j.mio.2016.05.001
- A new Lagrangian-based short-term prediction methodology for high-frequency (HF) radar currents L. Solabarrieta et al. https://doi.org/10.5194/os-17-755-2021
- Coastal flooding: impact of waves on storm surge during extremes – a case study for the German Bight J. Staneva et al. https://doi.org/10.5194/nhess-16-2373-2016
- Coastal Ocean Forecasting: system integration and evaluation V. Kourafalou et al. https://doi.org/10.1080/1755876X.2015.1022336
- The Coastal Observing System for Northern and Arctic Seas (COSYNA) B. Baschek et al. https://doi.org/10.5194/os-13-379-2017
- Assimilating operational SST and sea ice analysis data into an operational circulation model for the coastal seas of China Q. Ji et al. https://doi.org/10.1007/s13131-015-0691-y
- Wave modelling for the German Bight coastal-ocean predicting system J. Staneva et al. https://doi.org/10.1088/1742-6596/633/1/012117
- Coastal Ocean Forecasting: science foundation and user benefits V. Kourafalou et al. https://doi.org/10.1080/1755876X.2015.1022348
- A Regional Operational Model for the North East Atlantic: Model Configuration and Validation H. Nagy et al. https://doi.org/10.3390/jmse8090673
- Assimilating NOAA SST data into the BSH operational circulation model for the North and Baltic Seas: Inference about the data S. Losa et al. https://doi.org/10.1016/j.jmarsys.2012.07.008
- Making coastal research useful – cases from practice H. von Storch et al. https://doi.org/10.1016/j.oceano.2014.09.001
- Bridging the gap between observational oceanography and users C. Eschenbach https://doi.org/10.5194/os-13-161-2017
- An operational model for the West Iberian coast: products and services M. Mateus et al. https://doi.org/10.5194/os-8-713-2012
- State estimation of tidal hydrodynamics using ensemble Kalman filter H. Tamura et al. https://doi.org/10.1016/j.advwatres.2013.11.002
- Coupling of wave and circulation models in coastal–ocean predicting systems: a case study for the German Bight J. Staneva et al. https://doi.org/10.5194/os-12-797-2016
- Accessing diverse data comprehensively – CODM, the COSYNA data portal G. Breitbach et al. https://doi.org/10.5194/os-12-909-2016
- Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter X. Liang et al. https://doi.org/10.1175/JTECH-D-16-0166.1
- Analysis of the upscaling problem – A case study for the barotropic dynamics in the North Sea and the German Bight J. Schulz-Stellenfleth & E. Stanev https://doi.org/10.1016/j.ocemod.2016.02.002
- An operational biogeochemical model of the North-East Atlantic: Model description and skill assessment T. Dabrowski et al. https://doi.org/10.1016/j.jmarsys.2013.08.001
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