Articles | Volume 13, issue 2
https://doi.org/10.5194/os-13-289-2017
© Author(s) 2017. 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-13-289-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
An atmosphere–wave regional coupled model: improving predictions of wave heights and surface winds in the southern North Sea
Kathrin Wahle
CORRESPONDING AUTHOR
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht,
Geesthacht, Germany
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht,
Geesthacht, Germany
Wolfgang Koch
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht,
Geesthacht, Germany
Luciana Fenoglio-Marc
Institute of Geodesy and Geoinformation,
University of Bonn, Bonn, Germany
Ha T. M. Ho-Hagemann
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht,
Geesthacht, Germany
Emil V. Stanev
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht,
Geesthacht, Germany
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Joanna Staneva, Kathrin Wahle, Wolfgang Koch, Arno Behrens, Luciana Fenoglio-Marc, and Emil V. Stanev
Nat. Hazards Earth Syst. Sci., 16, 2373–2389, https://doi.org/10.5194/nhess-16-2373-2016, https://doi.org/10.5194/nhess-16-2373-2016, 2016
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This study addresses the impact of wind, waves, tidal forcing and baroclinicity on the sea level of the German Bight during extreme storm events. The role of wave-induced processes, tides and baroclinicity is quantified, and the results are compared with in situ measurements and satellite data. Considering a wave-dependent approach and baroclinicity, the surge is significantly enhanced in the coastal areas and the model results are closer to observations, especially during the extreme storm.
Joanna Staneva, Kathrin Wahle, Heinz Günther, and Emil Stanev
Ocean Sci., 12, 797–806, https://doi.org/10.5194/os-12-797-2016, https://doi.org/10.5194/os-12-797-2016, 2016
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This study addresses the impact of coupling between wind wave and circulation models on the quality of coastal ocean predicting systems. This topic reflects the increased interest in operational oceanography to reduce prediction errors of state estimates at coastal scales. The improved skill of the coupled forecasts compared to the non-coupled ones, in particular during extreme events, justifies the further enhancements of coastal operational systems by including wind wave models.
Joanna Staneva, Angelique Melet, Jennifer Veitch, and Pascal Matte
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Coastal areas are critical for society, with a significant portion of the global population residing near the coast. Predicting ocean conditions in these regions is challenging due to the need to model complex processes like tidal currents, wind-wave interactions, and shallow water dynamics. This paper explores advancements in high-resolution coastal modeling and observations, which improve predictions and refine monitoring systems. It highlights innovative approaches to enhance coastal realism
Stefan Hagemann, Thao Thi Nguyen, and Ha Thi Minh Ho-Hagemann
Ocean Sci., 20, 1457–1478, https://doi.org/10.5194/os-20-1457-2024, https://doi.org/10.5194/os-20-1457-2024, 2024
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We have developed a methodology for the bias correction of simulated river runoff to force ocean models in which low, medium, and high discharges are corrected once separated at the coast. We show that the bias correction generally leads to an improved representation of river runoff in Europe. The methodology is suitable for model regions with a sufficiently high coverage of discharge observations, and it can be applied to river runoff based on climate hindcasts or climate change simulations.
Ha Thi Minh Ho-Hagemann, Vera Maurer, Stefan Poll, and Irina Fast
Geosci. Model Dev., 17, 7815–7834, https://doi.org/10.5194/gmd-17-7815-2024, https://doi.org/10.5194/gmd-17-7815-2024, 2024
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The regional Earth system model GCOAST-AHOI v2.0 that includes the regional climate model ICON-CLM coupled to the ocean model NEMO and the hydrological discharge model HD via the OASIS3-MCT coupler can be a useful tool for conducting long-term regional climate simulations over the EURO-CORDEX domain. The new OASIS3-MCT coupling interface implemented in ICON-CLM makes it more flexible for coupling to an external ocean model and an external hydrological discharge model.
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State Planet, 3-slre1, 5, https://doi.org/10.5194/sp-3-slre1-5-2024, https://doi.org/10.5194/sp-3-slre1-5-2024, 2024
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Sea level rise has major impacts in Europe, which vary from place to place and in time, depending on the source of the impacts. Flooding, erosion, and saltwater intrusion lead, via different pathways, to various consequences for coastal regions across Europe. This causes damage to assets, the environment, and people for all three categories of impacts discussed in this paper. The paper provides an overview of the various impacts in Europe.
Wei Chen and Joanna Staneva
State Planet, 4-osr8, 7, https://doi.org/10.5194/sp-4-osr8-7-2024, https://doi.org/10.5194/sp-4-osr8-7-2024, 2024
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Marine heatwaves (MHWs), which are the unusually warm periods in the ocean, are becoming more frequent and lasting longer in the northwest European Shelf (NWES), particularly near the coast, from 1993 to 2023. However, thermal stratification is weakening, implying that the sea surface warming caused by MHWs is insufficient to counteract the overall stratification decline due to global warming. Moreover, the varying salinity has a notable impact on the trend of density stratification change.
Pascal Matte, John Wilkin, and Joanna Staneva
State Planet Discuss., https://doi.org/10.5194/sp-2024-9, https://doi.org/10.5194/sp-2024-9, 2024
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Rivers, vital to the Earth's system, connect the ocean with the land, governing hydrological and biogeochemical contributions and influencing processes like upwelling and mixing. This paper reviews advancements in river modeling, focusing on estuaries, from coarse-resolution ocean forecasting to more precise coastal coupling approaches. It discusses river data sources and examines how river forcing is treated in global, regional and coastal operational systems.
Jérôme Benveniste, Salvatore Dinardo, Luciana Fenoglio-Marc, Christopher Buchhaupt, Michele Scagliola, Marcello Passaro, Karina Nielsen, Marco Restano, Américo Ambrózio, Giovanni Sabatino, Carla Orrù, and Beniamino Abis
Proc. IAHS, 385, 457–463, https://doi.org/10.5194/piahs-385-457-2024, https://doi.org/10.5194/piahs-385-457-2024, 2024
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This paper presents the RDSAR, SAR/SARin & FF-SAR altimetry processors available in the ESA Altimetry Virtual Lab (AVL) hosted on the EarthConsole® platform. An overview on processors and features as well as preliminary analyses using AVL output data are reported to demonstrate the quality of the ESA Altimetry Virtual Lab altimetry services in providing innovative solutions to the radar altimetry community. https://earthconsole.eu//
Sven Karsten, Hagen Radtke, Matthias Gröger, Ha T. M. Ho-Hagemann, Hossein Mashayekh, Thomas Neumann, and H. E. Markus Meier
Geosci. Model Dev., 17, 1689–1708, https://doi.org/10.5194/gmd-17-1689-2024, https://doi.org/10.5194/gmd-17-1689-2024, 2024
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This paper describes the development of a regional Earth System Model for the Baltic Sea region. In contrast to conventional coupling approaches, the presented model includes a flux calculator operating on a common exchange grid. This approach automatically ensures a locally consistent treatment of fluxes and simplifies the exchange of model components. The presented model can be used for various scientific questions, such as studies of natural variability and ocean–atmosphere interactions.
Carolina B. Gramcianinov, Joanna Staneva, Celia R. G. Souza, Priscila Linhares, Ricardo de Camargo, and Pedro L. da Silva Dias
State Planet, 1-osr7, 12, https://doi.org/10.5194/sp-1-osr7-12-2023, https://doi.org/10.5194/sp-1-osr7-12-2023, 2023
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We analyse extreme wave event trends in the south-western South Atlantic in the last 29 years using wave products and coastal hazard records. The results show important regional changes associated with increased mean sea wave height, wave period, and wave power. We also find a rise in the number of coastal hazards related to waves affecting the state of São Paulo, Brazil, which partially agrees with the increase in extreme waves in the adjacent ocean sector but is also driven by local factors.
Stefania A. Ciliberti, Enrique Alvarez Fanjul, Jay Pearlman, Kirsten Wilmer-Becker, Pierre Bahurel, Fabrice Ardhuin, Alain Arnaud, Mike Bell, Segolene Berthou, Laurent Bertino, Arthur Capet, Eric Chassignet, Stefano Ciavatta, Mauro Cirano, Emanuela Clementi, Gianpiero Cossarini, Gianpaolo Coro, Stuart Corney, Fraser Davidson, Marie Drevillon, Yann Drillet, Renaud Dussurget, Ghada El Serafy, Katja Fennel, Marcos Garcia Sotillo, Patrick Heimbach, Fabrice Hernandez, Patrick Hogan, Ibrahim Hoteit, Sudheer Joseph, Simon Josey, Pierre-Yves Le Traon, Simone Libralato, Marco Mancini, Pascal Matte, Angelique Melet, Yasumasa Miyazawa, Andrew M. Moore, Antonio Novellino, Andrew Porter, Heather Regan, Laia Romero, Andreas Schiller, John Siddorn, Joanna Staneva, Cecile Thomas-Courcoux, Marina Tonani, Jose Maria Garcia-Valdecasas, Jennifer Veitch, Karina von Schuckmann, Liying Wan, John Wilkin, and Romane Zufic
State Planet, 1-osr7, 2, https://doi.org/10.5194/sp-1-osr7-2-2023, https://doi.org/10.5194/sp-1-osr7-2-2023, 2023
Kathrin Wahle, Emil V. Stanev, and Joanna Staneva
Nat. Hazards Earth Syst. Sci., 23, 415–428, https://doi.org/10.5194/nhess-23-415-2023, https://doi.org/10.5194/nhess-23-415-2023, 2023
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Knowledge of what causes maximum water levels is often key in coastal management. Processes, such as storm surge and atmospheric forcing, alter the predicted tide. Whilst most of these processes are modeled in present-day ocean forecasting, there is still a need for a better understanding of situations where modeled and observed water levels deviate from each other. Here, we will use machine learning to detect such anomalies within a network of sea-level observations in the North Sea.
Wei Chen, Joanna Staneva, Sebastian Grayek, Johannes Schulz-Stellenfleth, and Jens Greinert
Nat. Hazards Earth Syst. Sci., 22, 1683–1698, https://doi.org/10.5194/nhess-22-1683-2022, https://doi.org/10.5194/nhess-22-1683-2022, 2022
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This study links the occurrence and persistence of density stratification in the southern North Sea to the increased number of extreme marine heat waves. The study further identified the role of the cold spells at the early stage of a year to the intensity of thermal stratification in summer. In a broader context, the research will have fundamental significance for further discussion of the secondary effects of heat wave events, such as in ecosystems, fisheries, and sediment dynamics.
Matthias Gröger, Christian Dieterich, Jari Haapala, Ha Thi Minh Ho-Hagemann, Stefan Hagemann, Jaromir Jakacki, Wilhelm May, H. E. Markus Meier, Paul A. Miller, Anna Rutgersson, and Lichuan Wu
Earth Syst. Dynam., 12, 939–973, https://doi.org/10.5194/esd-12-939-2021, https://doi.org/10.5194/esd-12-939-2021, 2021
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Regional climate studies are typically pursued by single Earth system component models (e.g., ocean models and atmosphere models). These models are driven by prescribed data which hamper the simulation of feedbacks between Earth system components. To overcome this, models were developed that interactively couple model components and allow an adequate simulation of Earth system interactions important for climate. This article reviews recent developments of such models for the Baltic Sea region.
Marcel Ricker and Emil V. Stanev
Ocean Sci., 16, 637–655, https://doi.org/10.5194/os-16-637-2020, https://doi.org/10.5194/os-16-637-2020, 2020
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The dynamics of the European northwest shelf are analysed using both classical Eulerian and Lagrangian data from simulated particles. Focussing on the latter, a quantity named
normalised cumulative particle densitymeasures particle accumulation. Yearly averages reveal no surface accumulation areas in the deep ocean and elongated patterns on the shelf mainly along fronts. Sensitivity experiments show the influence of tides and wind, unveiling important vertical dynamics in coastal areas.
Stefan Schröder, Anne Springer, Jürgen Kusche, Bernd Uebbing, Luciana Fenoglio-Marc, Bernd Diekkrüger, and Thomas Poméon
Hydrol. Earth Syst. Sci., 23, 4113–4128, https://doi.org/10.5194/hess-23-4113-2019, https://doi.org/10.5194/hess-23-4113-2019, 2019
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We propose deriving altimetric rating curves by
bridginggaps between time series from gauge and altimeter measurements using hydrological model simulations. We investigate several stations at the Niger River, which is a challenging region. We show that altimetry reproduces discharge well and enables continuing the gauge time series, albeit at a lower temporal resolution.
Johannes Pein, Annika Eisele, Richard Hofmeister, Tina Sanders, Ute Daewel, Emil V. Stanev, Justus van Beusekom, Joanna Staneva, and Corinna Schrum
Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-265, https://doi.org/10.5194/bg-2019-265, 2019
Revised manuscript not accepted
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The Elbe estuary is subject to vigorous tidal forcing from the sea side and considerable biological inputs from the land side. Our 3D numerical coupled physical-biogeochemical integrates these forcing signals and provides highly realistic hindcasts of the associated dynamics. Model simulations show that the freshwater part of Elbe estuary is inhabited by plankton. According to simulations these organism play a key role in converting organic inputs into nitrate, the major inorganic nutrient.
Huw W. Lewis, Juan Manuel Castillo Sanchez, John Siddorn, Robert R. King, Marina Tonani, Andrew Saulter, Peter Sykes, Anne-Christine Pequignet, Graham P. Weedon, Tamzin Palmer, Joanna Staneva, and Lucy Bricheno
Ocean Sci., 15, 669–690, https://doi.org/10.5194/os-15-669-2019, https://doi.org/10.5194/os-15-669-2019, 2019
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Forecasts of ocean temperature, salinity, currents, and sea height can be improved by linking state-of-the-art ocean and wave models, so that they can interact to better represent the real world. We test this approach in an ocean model of north-west Europe which can simulate small-scale details of the ocean state. The intention is to implement the system described in this study for operational use so that improved information can be provided to users of ocean forecast data.
Johannes Schulz-Stellenfleth and Joanna Staneva
Ocean Sci., 15, 249–268, https://doi.org/10.5194/os-15-249-2019, https://doi.org/10.5194/os-15-249-2019, 2019
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Errors of observations and numerical model data are analysed with a focus on heterogeneous coastal areas. An extension of the triple collocation method is proposed, which takes into account gradients in the collocation of datasets separated by distances which may not be acceptable for a nearest-neigbour approximation, but still be feasible for linear or higher order interpolations. The technique is applied to wave height data from in situ stations, models, and the Sentinel-3A altimeter.
Anne Wiese, Joanna Staneva, Johannes Schulz-Stellenfleth, Arno Behrens, Luciana Fenoglio-Marc, and Jean-Raymond Bidlot
Ocean Sci., 14, 1503–1521, https://doi.org/10.5194/os-14-1503-2018, https://doi.org/10.5194/os-14-1503-2018, 2018
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The increase of data quality of wind and wave measurements provided by the new Sentinel-3A satellite in coastal areas is demonstrated compared to measurements of older satellites with in situ data and spectral wave model simulations. Furthermore, the sensitivity of the wave model to wind forcing is evaluated using data with different temporal and spatial resolution, where an hourly temporal resolution is necessary to represent the peak of extreme events better.
Jean-François Legeais, Michaël Ablain, Lionel Zawadzki, Hao Zuo, Johnny A. Johannessen, Martin G. Scharffenberg, Luciana Fenoglio-Marc, M. Joana Fernandes, Ole Baltazar Andersen, Sergei Rudenko, Paolo Cipollini, Graham D. Quartly, Marcello Passaro, Anny Cazenave, and Jérôme Benveniste
Earth Syst. Sci. Data, 10, 281–301, https://doi.org/10.5194/essd-10-281-2018, https://doi.org/10.5194/essd-10-281-2018, 2018
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Sea level is one of the best indicators of climate change and has been listed as one of the essential climate variables. Sea level measurements have been provided by satellite altimetry for 25 years, and the Climate Change Initiative (CCI) program of the European Space Agency has given the opportunity to provide a long-term, homogeneous and accurate sea level record. It will help scientists to better understand climate change and its variability.
Burkard Baschek, Friedhelm Schroeder, Holger Brix, Rolf Riethmüller, Thomas H. Badewien, Gisbert Breitbach, Bernd Brügge, Franciscus Colijn, Roland Doerffer, Christiane Eschenbach, Jana Friedrich, Philipp Fischer, Stefan Garthe, Jochen Horstmann, Hajo Krasemann, Katja Metfies, Lucas Merckelbach, Nino Ohle, Wilhelm Petersen, Daniel Pröfrock, Rüdiger Röttgers, Michael Schlüter, Jan Schulz, Johannes Schulz-Stellenfleth, Emil Stanev, Joanna Staneva, Christian Winter, Kai Wirtz, Jochen Wollschläger, Oliver Zielinski, and Friedwart Ziemer
Ocean Sci., 13, 379–410, https://doi.org/10.5194/os-13-379-2017, https://doi.org/10.5194/os-13-379-2017, 2017
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The Coastal Observing System for Northern and Arctic Seas (COSYNA) was established in order to better understand the complex interdisciplinary processes of northern seas and the Arctic coasts in a changing environment. Particular focus is given to the heavily used German Bight in the North Sea. The automated observing and modelling system is designed to monitor real-time conditions, to provide short-term forecasts and data products, and to assess the impact of anthropogenically induced change.
Andreas Will, Naveed Akhtar, Jennifer Brauch, Marcus Breil, Edouard Davin, Ha T. M. Ho-Hagemann, Eric Maisonnave, Markus Thürkow, and Stefan Weiher
Geosci. Model Dev., 10, 1549–1586, https://doi.org/10.5194/gmd-10-1549-2017, https://doi.org/10.5194/gmd-10-1549-2017, 2017
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We present a coupled regional climate system model. The COSMO CLM regional climate model is two-way coupled via OASIS3-MCT to the land surface, regional ocean for the Mediterranean Sea, North and Baltic seas and an earth system model. The direct coupling costs of communication and horizontal interpolation are shown to be negligible even for a frequent exchange of 450 2-D fields. A procedure of finding an optimum processor configuration is presented and successfully applied to all couplings.
Joanna Staneva, Kathrin Wahle, Wolfgang Koch, Arno Behrens, Luciana Fenoglio-Marc, and Emil V. Stanev
Nat. Hazards Earth Syst. Sci., 16, 2373–2389, https://doi.org/10.5194/nhess-16-2373-2016, https://doi.org/10.5194/nhess-16-2373-2016, 2016
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This study addresses the impact of wind, waves, tidal forcing and baroclinicity on the sea level of the German Bight during extreme storm events. The role of wave-induced processes, tides and baroclinicity is quantified, and the results are compared with in situ measurements and satellite data. Considering a wave-dependent approach and baroclinicity, the surge is significantly enhanced in the coastal areas and the model results are closer to observations, especially during the extreme storm.
Emil V. Stanev, Johannes Schulz-Stellenfleth, Joanna Staneva, Sebastian Grayek, Sebastian Grashorn, Arno Behrens, Wolfgang Koch, and Johannes Pein
Ocean Sci., 12, 1105–1136, https://doi.org/10.5194/os-12-1105-2016, https://doi.org/10.5194/os-12-1105-2016, 2016
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This paper describes coastal ocean forecasting practices exemplified for the North Sea and Baltic Sea. It identifies new challenges, most of which are associated with the nonlinear behavior of coastal oceans. It describes the assimilation of remote sensing, in situ and HF radar data, prediction of wind waves and storm surges, as well as applications to search and rescue operations. Seamless applications to coastal and estuarine modeling are also presented.
Jun She, Icarus Allen, Erik Buch, Alessandro Crise, Johnny A. Johannessen, Pierre-Yves Le Traon, Urmas Lips, Glenn Nolan, Nadia Pinardi, Jan H. Reißmann, John Siddorn, Emil Stanev, and Henning Wehde
Ocean Sci., 12, 953–976, https://doi.org/10.5194/os-12-953-2016, https://doi.org/10.5194/os-12-953-2016, 2016
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This white paper addresses key scientific challenges and research priorities for the development of operational oceanography in Europe for the next 5–10 years. Knowledge gaps and deficiencies are identified in relation to common scientific challenges in four EuroGOOS knowledge areas: European ocean observations, modelling and forecasting technology, coastal operational oceanography, and operational ecology.
Joanna Staneva, Kathrin Wahle, Heinz Günther, and Emil Stanev
Ocean Sci., 12, 797–806, https://doi.org/10.5194/os-12-797-2016, https://doi.org/10.5194/os-12-797-2016, 2016
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This study addresses the impact of coupling between wind wave and circulation models on the quality of coastal ocean predicting systems. This topic reflects the increased interest in operational oceanography to reduce prediction errors of state estimates at coastal scales. The improved skill of the coupled forecasts compared to the non-coupled ones, in particular during extreme events, justifies the further enhancements of coastal operational systems by including wind wave models.
Arthur Capet, Emil V. Stanev, Jean-Marie Beckers, James W. Murray, and Marilaure Grégoire
Biogeosciences, 13, 1287–1297, https://doi.org/10.5194/bg-13-1287-2016, https://doi.org/10.5194/bg-13-1287-2016, 2016
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We show that the Black Sea oxygen inventory has decreased by 44 % from 1955 to 2015, while oxygen penetration depth decreased from 140 to 90 m. A transient increase of the oxygen inventory during 1985–1995 supported the perception of a stable oxic interface and of a general recovery of the Black Sea after a strong eutrophication phase (1970–1990). Instead, we show that ongoing high oxygen consumption was masked by high ventilation rates, which are now limited by atmospheric warming.
L. Holinde, T. H. Badewien, J. A. Freund, E. V. Stanev, and O. Zielinski
Earth Syst. Sci. Data, 7, 289–297, https://doi.org/10.5194/essd-7-289-2015, https://doi.org/10.5194/essd-7-289-2015, 2015
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We present water level data derived from long-term measurements of water pressure at the Time Series Station Spiekeroog (southern North Sea). Problems addressed during data processing include outliers, data gaps and sensor drift. For quality control, we compared the processed data to measurements of water level obtained nearby. We also carried out a storm flood analysis and a Fourier analysis to identify major tidal components.
E. V. Stanev, Y. He, J. Staneva, and E. Yakushev
Biogeosciences, 11, 5707–5732, https://doi.org/10.5194/bg-11-5707-2014, https://doi.org/10.5194/bg-11-5707-2014, 2014
J. Friedrich, F. Janssen, D. Aleynik, H. W. Bange, N. Boltacheva, M. N. Çagatay, A. W. Dale, G. Etiope, Z. Erdem, M. Geraga, A. Gilli, M. T. Gomoiu, P. O. J. Hall, D. Hansson, Y. He, M. Holtappels, M. K. Kirf, M. Kononets, S. Konovalov, A. Lichtschlag, D. M. Livingstone, G. Marinaro, S. Mazlumyan, S. Naeher, R. P. North, G. Papatheodorou, O. Pfannkuche, R. Prien, G. Rehder, C. J. Schubert, T. Soltwedel, S. Sommer, H. Stahl, E. V. Stanev, A. Teaca, A. Tengberg, C. Waldmann, B. Wehrli, and F. Wenzhöfer
Biogeosciences, 11, 1215–1259, https://doi.org/10.5194/bg-11-1215-2014, https://doi.org/10.5194/bg-11-1215-2014, 2014
Cited articles
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities, Mon. Weather Rev., 139, 3887–3905, 2011.
Bao, J.-W., Michelson, S. A., and Wilczak, J. M.: Sensitivity of numerical simulations to parameterizations of roughness for surface heat fluxes at high winds over the sea, Mon. Weather Rev., 130, 1926–1932, 2002.
Battjes, J. and Janssen, J.: Energy loss and set-up due to breaking of random waves, Coast. Eng. Proc., 1, 569–587, 1978.
Bidlot, J., Janssen, P., and Abdalla, S.: A revised formulation of ocean wave dissipation and its model impact, Tech. Rep. Memorandum 509, ECMWF, Reading, UK, 2007.
Breivik, Ø., Mogensen, K., Bidlot, J. R., Balmaseda, M. A., and Janssen, P. A.: Surface wave effects in the NEMO ocean model: Forced and coupled experiments, J. Geophys. Res.-Oceans, 120, 2973–2992, 2015.
Cavaleri, L., Roland, A., Dutour Sikiric, M., Bertotti, L., and Torrisi, L.: On the coupling of COSMO to WAM, in: Proceedings of the ECMWF Workshop on Ocean-Waves, 25–27 June 2012, ECMWF, Reading, 2012.
Chelton, D., Ries, J., Haines, B., Fu, L., and Callahan, P.: Satellite Altimetry in Satellite Altimetry and Earth Sciences – A Handbook of Techniques and Applications, Academic Press, San Diego, 2001.
Desjardins, S., Mailhot, J., and Lalbeharry, R.: Examination of the impact of a coupled atmospheric and ocean wave system, part I, Atmospheric aspects, J. Phys. Oceanogr., 30, 385–401, 2000.
Deutschländer, T., Friedrich, K., Haeseler, S. and Lefebvre, C.: Severe storm XAVER across northern Europe from 5 to 7 December 2013, 2013 DWD report, Deutsche Wetter Dienst, Offenbach, Germany, 2013.
Doyle, J. D.: Coupled ocean wave/atmosphere mesoscale model simulations of cyclogenesis, Tellus A, 47, 766–788, 1995.
Fenoglio-Marc, L., Dinardo, S., Scharroo, R., Roland, A., Sikiric, M. D., Lucas, B., Becker, M. Benveniste, J., and Weiss, R.: The German Bight: A validation of CryoSat-2 altimeter data in SAR mode, Adv. Space Res., 55, 2641–2656, 2015.
Geyer, B.: High-resolution atmospheric reconstruction for Europe 1948–2012: coastDat2, Earth Syst. Sci. Data, 6, 147–164, https://doi.org/10.5194/essd-6-147-2014, 2014.
Hersbach, H. and Janssen, P. A. E. M.: Improvements of the short fetch behaviour in the WAM model, J. Atmos. Ocean. Tech., 16, 884–892, 1999.
Ho-Hagemann, H. T. M., Rockel, B., Kapitza, H., Geyer, B., and Meyer, E.: COSTRICE – an atmosphere–ocean–sea ice model coupled system using OASIS3, HZG Report 2013-5, Helmholtz-Zentrum Geesthacht, Geesthacht, 26 pp., 2013.
Janssen, P. A. E. M.: Quasi-linear theory of wind-wave generation applied to wave forecasting, J. Phys. Oceanogr., 21, 1631–1642, 1991.
Janssen, P. A. E. M.: Progress in ocean wave forecasting, J. Comput. Phys., 227, 3572–3594, 2008.
Janssen, P. A. E. M. and Viterbo, P.: Ocean waves and the atmospheric climate, J. Climate, 9, 1269–1287, 1996.
Janssen, P. A. E. M., Saetra, O., Wettre, C., Hersbach, H., and Bidlot, J.: Impact of the sea state on the atmosphere and ocean, Ann. Hydrogr., 772, 143–157, 2004.
Järvenoja, T. and Tuomi, L.: Coupled atmosphere–wave model for FMI and FIMR, Hirlam Newsletter, 40, 9–22, 2002.
Jenkins, A., Bakhoday Paskyabi, M., Fer, I., Gupta, A., and Adakudlu, M.: Modelling the effect of ocean waves on the atmospheric and ocean boundary layers, Energy Procedia, 24, 166–175, 2012.
Katsafados, P., Papadopoulos, A., Korres, G., and Varlas, G.: A fully coupled atmosphere–ocean wave modeling system for the Mediterranean Sea: interactions and sensitivity to the resolved scales and mechanisms, Geosci. Model Dev., 9, 161–173, https://doi.org/10.5194/gmd-9-161-2016, 2016.
Komen, G. J., Cavaleri, L., Donelan, M., Hasselmann, K., Hasselmann, S., and Janssen, P. A. E. M.: Dynamics and modelling of ocean waves, Cambridge University Press, Cambridge, UK, 560 pp., 1994.
Kumar, N., Voulgaris, G., Warner, J. C., and Olabarrieta, M.: Implementation of the vortex force formalism in the coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system for inner shelf and surf zone applications, Ocean Model., 47, 65–95, 2012.
Lillibridge, J. L., Scharroo, R., Abdalla, S., and Vandemark, D. C.: One- and two-dimensional wind speed models for Ka-band altimetry, J. Atmos. Ocean. Tech., 31, 630–638, https://doi.org/10.1175/JTECH-D-13-00167.1, 2014.
Lionello, P., Malguzzi, P., and Buzzi, A.: Coupling between the atmospheric circulation and the ocean wave field: An idealized case, J. Phys. Oceanogr., 28, 161–177, 1998.
Lionello, P., Elvini, E., and Nizzero, A.: Ocean waves and storm surges in the Adriatic Sea: intercomparison between the present and doubled CO2 climate scenarios, Clim. Res., 23, 217–231, 2003.
Passaro, M., Fenoglio-Marc, L., and Cipollini, P.: Validation of Significant Wave Height From Improved Satellite Altimetry in the German Bight, IEEE T. Geosci. Remote, 53, 2146–2156, 2015.
Renault, L., Chiggiato, J., Warner, J. C., Gomez, M., Vizoso, G., and Tintoré, J.: Coupled atmosphere-ocean-wave simulations of a storm event over the Gulf of Lion and Balearic Sea, J. Geophys. Res., 117, C09019, https://doi.org/10.1029/2012JC007924, 2012.
Rockel, B., Will, A., and Hense, A.: The Regional Climate Model COSMO-CLM (CCLM), Meteorol. Z., 17, 347–348, 2008.
Rutgersson, A., Sætra, Ø., Semedo, A., Carlsson, B., and Kumar, R.: Impact of surface waves in a regional climate model, Meteorol. Z., 19, 247–257, 2010.
Rutgersson, A., Nilsson, E. O., and Kumar, R.: Introducing surface waves in a coupled wave–atmosphere regional climate model: Impact on atmospheric mixing length, J. Geophys. Res.-Oceans, 117, C00J15, https://doi.org/10.1029/2012JC007940, 2012.
Scharroo, R., Leuliette, E. W., Lillibridge, J. L., Byrne, D., Naeije, M. C., and Mitchum, G. T.: RADS: consistent multi-mission products, in: Proc. of the Symposium on 20 Years of Progress in Radar Altimetry, 24–29 September 2012, Venice-Lido, Italy, 2013.
Smith, W. H. F. and Scharroo, R.: Waveform aliasing in satellite radar altimetry, IEEE T. Geosci. Remote., 53, 1671–1681, https://doi.org/10.1109/TGRS.2014.2331193, 2015.
Staneva, J., Behrens, A., and Wahle, K.: Wave modelling for the German Bight coastal-ocean predicting system, J. Phys., 633, 233–254, https://doi.org/10.1088/1742-6596/633/1/012117, 2015.
Staneva, J., Wahle, K., Günther, H., and Stanev, E.: Coupling of wave and circulation models in coastal–ocean predicting systems: a case study for the German Bight, Ocean Sci., 12, 797–806, https://doi.org/10.5194/os-12-797-2016, 2016.
Valcke, S.: The OASIS3 coupler: a European climate modelling community software, Geosci. Model Dev., 6, 373–388, https://doi.org/10.5194/gmd-6-373-2013, 2013.
Valcke, S., Craig, T., and Coquart, L.: OASIS3-MCT User Guide, OASIS3-MCT 2.0, Technical Report, TR/CMGC/15/38, No. 1875, CERFACS/CNRS SUC URA, Toulouse, France, 2013.
Voldoire, A., Sanchez-Gomez, E., Mélia, D. S., Decharme, B., Cassou, C., Sénési, S., and Déqué, M.: The CNRM-CM5.1 global climate model: description and basic evaluation, Clim. Dynam., 40, 2091–2121, 2013.
Warner, J. C., Armstrong, B., He, R., and Zambon, J. B.: Development of a coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system, Ocean Model., 35, 230–244, 2010.
Zweers, N. C., Makin, V. K., de Vries, J. W., and Burgers, G.: A sea drag relation for hurricane wind speeds, Geophys. Res. Lett., 37, L21811, https://doi.org/10.1029/2010GL045002, 2010.
Short summary
Reduction of wave forecasting errors is a challenge, especially in dynamically complicated coastal ocean areas such as the southern part of the North Sea area. We study the effects of coupling between an atmospheric and two nested-grid wind wave models. Comparisons with data from in situ and satellite altimeter observations indicate that two-way coupling improves the simulation of wind and wave parameters of the model and justifies its implementation for both operational and climate simulation.
Reduction of wave forecasting errors is a challenge, especially in dynamically complicated...