Articles | Volume 13, issue 3
https://doi.org/10.5194/os-13-379-2017
© 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-13-379-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 May 2017
Research article |
| 10 May 2017
The Coastal Observing System for Northern and Arctic Seas (COSYNA)
Burkard Baschek
CORRESPONDING AUTHOR
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Friedhelm Schroeder
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Holger Brix
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Rolf Riethmüller
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Thomas H. Badewien
Institute for Chemistry and Biology of the Marine
Environment, University of Oldenburg, Oldenburg, Germany
Gisbert Breitbach
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Bernd Brügge
Federal Maritime and Hydrographic Agency,
Hamburg, Germany
Franciscus Colijn
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Roland Doerffer
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Christiane Eschenbach
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Jana Friedrich
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Philipp Fischer
Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Center for Polar and Marine
Research, Bremerhaven, Germany
Stefan Garthe
Research and Technology Centre (FTZ), University of Kiel,
Büsum, Germany
Jochen Horstmann
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Hajo Krasemann
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Katja Metfies
Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Center for Polar and Marine
Research, Bremerhaven, Germany
Lucas Merckelbach
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Nino Ohle
Hamburg Port Authority, Hamburg, Germany
Wilhelm Petersen
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Daniel Pröfrock
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Rüdiger Röttgers
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Michael Schlüter
Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Center for Polar and Marine
Research, Bremerhaven, Germany
Jan Schulz
Institute for Chemistry and Biology of the Marine
Environment, University of Oldenburg, Oldenburg, Germany
Johannes Schulz-Stellenfleth
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Emil Stanev
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Joanna Staneva
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Christian Winter
MARUM, Center for Marine Environmental Sciences, Bremen
University, Bremen, Germany
Kai Wirtz
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Jochen Wollschläger
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
Oliver Zielinski
Institute for Chemistry and Biology of the Marine
Environment, University of Oldenburg, Oldenburg, Germany
Friedwart Ziemer
Institute of Coastal Research, Helmholtz-Zentrum
Geesthacht, Geesthacht, Germany
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Ulrich Callies, Nikolaus Groll, Jochen Horstmann, Hartmut Kapitza, Holger Klein, Silvia Maßmann, and Fabian Schwichtenberg
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Kathrin Wahle, Joanna Staneva, Wolfgang Koch, Luciana Fenoglio-Marc, Ha T. M. Ho-Hagemann, and Emil V. Stanev
Ocean Sci., 13, 289–301, https://doi.org/10.5194/os-13-289-2017, https://doi.org/10.5194/os-13-289-2017, 2017
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Maria Moreno de Castro, Markus Schartau, and Kai Wirtz
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Philipp Fischer, Max Schwanitz, Reiner Loth, Uwe Posner, Markus Brand, and Friedhelm Schröder
Ocean Sci., 13, 259–272, https://doi.org/10.5194/os-13-259-2017, https://doi.org/10.5194/os-13-259-2017, 2017
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We observed oceanographic and community data from October 2013 to November 2014 in the shallow waters of Kongsfjorden on the western coast of Svalbard (Norway) using remote controlled hydrographic and optic sensors. Daily vertical profiles of temperature, salinity, and turbidity were sampled together with stereo images of the macrobiotic community, including fish. A distinct seasonal cycle in total species abundances was found with surprisingly high animal counts during the polar winter.
Christiane A. Eschenbach
Ocean Sci., 13, 161–173, https://doi.org/10.5194/os-13-161-2017, https://doi.org/10.5194/os-13-161-2017, 2017
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COSYNA (Coastal Observing System for Northern and Arctic Seas) pursued various activities for stakeholder interaction. The steps, e.g. initial survey, external evaluation, interviews and workshops with stakeholders from the offshore wind sector, are integrated into the COSYNA product life cycle outlined here and exemplified for the product
Surface Current Fields. By sharing first-hand experiences this study contributes to the emerging knowledge on integration of coastal research and end users.
Ruben Carrasco, Michael Streßer, and Jochen Horstmann
Ocean Sci., 13, 95–103, https://doi.org/10.5194/os-13-95-2017, https://doi.org/10.5194/os-13-95-2017, 2017
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The significant wave height (Hs) is one of the most relevant parameters to describe a sea state statistically. This parameter is commonly monitored by measurement devices placed in the water (wave rider buoy, ADCP), which require expensive maintenance. In this study, X-band radar, generally used for ship navigation, was modified to measure water particle speeds using the Doppler effect. Based on the obtained data, a simple method is introduced to remotely estimate Hs with a reasonable accuracy.
Yoana G. Voynova, Holger Brix, Wilhelm Petersen, Sieglinde Weigelt-Krenz, and Mirco Scharfe
Biogeosciences, 14, 541–557, https://doi.org/10.5194/bg-14-541-2017, https://doi.org/10.5194/bg-14-541-2017, 2017
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This study focuses on how the June 2013 Elbe River flood affected the southern German Bight. The largest summer flood within the last 140 years, it generated a substantial plume of nutrient-rich, buoyant waters from the Elbe estuary onto the coast. During the calm 2013 summer, the flood was followed by prolonged (2-month) water column stratification, chlorophyll blooms in surface, and uncharacteristically low oxygen in bottom waters. With climate change, these events are becoming more frequent.
Nick Rüssmeier, Axel Hahn, Daniela Nicklas, and Oliver Zielinski
J. Sens. Sens. Syst., 6, 37–52, https://doi.org/10.5194/jsss-6-37-2017, https://doi.org/10.5194/jsss-6-37-2017, 2017
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Maritime study sites utilized as a physical experimental test bed for sensor data fusion, communication technology and data stream analysis tools can provide substantial frameworks for design and development of e-navigation technologies. Increasing safety by observation and monitoring of the maritime environment with new technologies meets forward-looking needs to facilitate situational awareness. The study highlights research potentials and foundations achieved by distributed optical sensors.
Lucas Merckelbach
Biogeosciences, 13, 6637–6649, https://doi.org/10.5194/bg-13-6637-2016, https://doi.org/10.5194/bg-13-6637-2016, 2016
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The use of ocean gliders, a class of underwater vehicles for observing the ocean to understand biogeochemical and physical processes, has been pioneered in the North Sea as part of the coastal observatory COSYNA. Since gliders go slow, strong tidal currents are problematic for their navigation. To predict (< 12 h) and reconstruct the local currents and the actual transect under water to know where the measurements were actually taken, an algorithm was developed using glider data only.
Katja Metfies, Friedhelm Schroeder, Johanna Hessel, Jochen Wollschläger, Sebastian Micheller, Christian Wolf, Estelle Kilias, Pim Sprong, Stefan Neuhaus, Stephan Frickenhaus, and Wilhelm Petersen
Ocean Sci., 12, 1237–1247, https://doi.org/10.5194/os-12-1237-2016, https://doi.org/10.5194/os-12-1237-2016, 2016
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Here we introduce a new molecular-based observation strategy for high-resolution assessment of marine microbes (e.g., microalgae) in space and time. The observation strategy combines automated sampling on board ships or observation platforms with a variety of different molecular genetic methods for refined observation of marine microbes at adaquate scales, in order to better understand the impact of climate change on this group of organisms, which are at the base of marine food webs.
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.
Anne-Christin Schulz, Thomas H. Badewien, Shungudzemwoyo P. Garaba, and Oliver Zielinski
Ocean Sci., 12, 1155–1163, https://doi.org/10.5194/os-12-1155-2016, https://doi.org/10.5194/os-12-1155-2016, 2016
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We compared observations from the operational Time Series Station Spiekeroog, related to water transparency, conducted correlation tests among these measured parameters, and explored the utility of both acoustic and optical tools in monitoring water transparency. Our findings suggest that both optical and acoustic measurements can be reasonable proxies of water transparency with the potential to mitigate gaps and increase data quality in long-time observations of marine environments.
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.
Joeran Maerz, Richard Hofmeister, Eefke M. van der Lee, Ulf Gräwe, Rolf Riethmüller, and Kai W. Wirtz
Biogeosciences, 13, 4863–4876, https://doi.org/10.5194/bg-13-4863-2016, https://doi.org/10.5194/bg-13-4863-2016, 2016
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We investigated sinking velocity (ws) of suspended particulate matter (SPM) in the German Bight. By inferring ws indirectly from an extensive turbidity data set and hydrodynamic model results, we found enhanced ws in a coastal transition zone. Combined with known residual circulation patterns, this led to a new conceptual understanding of the retention of fine minerals and nutrients in shallow coastal areas. The retention is likely modulated by algal excretions enhancing flocculation of SPM.
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.
Gisbert Breitbach, Hajo Krasemann, Daniel Behr, Steffen Beringer, Uwe Lange, Nhan Vo, and Friedhelm Schroeder
Ocean Sci., 12, 909–923, https://doi.org/10.5194/os-12-909-2016, https://doi.org/10.5194/os-12-909-2016, 2016
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The coastal observation system COSYNA aims to describe the physical and biogeochemical state of a regional coastal system. The COSYNA data management (CODM) is the link between observations, model results and data usage.
The challenge for CODM is the integration of diverse data sources in terms of parameters, dimensionality and observation methods to gain a comprehensive view of the observations.
How this is achieved is described in the paper.
Jens Kappenberg, Michael Berendt, Nino Ohle, Rolf Riethmüller, Dagmar Schuster, and Thomas Strotmann
Ocean Sci. Discuss., https://doi.org/10.5194/os-2016-7, https://doi.org/10.5194/os-2016-7, 2016
Preprint withdrawn
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.
Jaime Pitarch, Gianluca Volpe, Simone Colella, Hajo Krasemann, and Rosalia Santoleri
Ocean Sci., 12, 379–389, https://doi.org/10.5194/os-12-379-2016, https://doi.org/10.5194/os-12-379-2016, 2016
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Several operational satellite chlorophyll a (CHL) in the Baltic Sea were tested at a regional scale. Comparison to an extensive in situ CHL dataset showed low linearity. Bias-corrected CHL annual cycles were computed. The Gulf of Bothnia displays a single CHL peak during spring. In Skagerrak and Kattegat, there is a small bloom in spring and a minimum in summer. In the central Baltic, CHL follows a dynamic of a mild spring bloom followed by a much stronger bloom in summer.
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 and O. Zielinski
Ocean Sci., 12, 117–128, https://doi.org/10.5194/os-12-117-2016, https://doi.org/10.5194/os-12-117-2016, 2016
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In 2012 measurements were conducted in two adjacent estuary systems on Greenland’s western coast that are strongly influenced by glacial meltwater. Results described in this study show the relevance of inorganic SPM and Chl a alike, while colored dissolved organic matter is less prominent. Light availability was recorded throughout the cruise and an effective two-component (Chl a and inorganic SPM) model for PAR is developed to fill observational gaps from insufficient light conditions.
M. Haller, F. Janssen, J. Siddorn, W. Petersen, and S. Dick
Ocean Sci., 11, 879–896, https://doi.org/10.5194/os-11-879-2015, https://doi.org/10.5194/os-11-879-2015, 2015
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Automated measurement systems called FerryBox are installed on cargo ships in the North Sea. Operational model forecasts have been compared to FerryBox data of water temperature and salinity. We wanted to know how well the simulations agree with the observations. We found out that water temperature simulation gives satisfying results, while salinity simulation still could be improved. It turned out that assimilation of observational data into operational models gives strong benefits.
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
B. Heim, E. Abramova, R. Doerffer, F. Günther, J. Hölemann, A. Kraberg, H. Lantuit, A. Loginova, F. Martynov, P. P. Overduin, and C. Wegner
Biogeosciences, 11, 4191–4210, https://doi.org/10.5194/bg-11-4191-2014, https://doi.org/10.5194/bg-11-4191-2014, 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
H. Örek, R. Doerffer, R. Röttgers, M. Boersma, and K. H. Wiltshire
Biogeosciences, 10, 7081–7094, https://doi.org/10.5194/bg-10-7081-2013, https://doi.org/10.5194/bg-10-7081-2013, 2013
Cited articles
ABARE: Economics of Australia's sustained ocean observing system, benefits and rationale for public funding, The Australian Bureau of Agricultural and Resource Economics and Economic Consulting Services, Report 44, 2006.
Ahmerkamp, S., Winter, C., Janssen, F., Kuypers, M. M. M., and Holtappels, M.: The impact of bedform migration on benthic oxygen fluxes, J. Geophys. Res.-Biogeo., 120, 2229–2242, https://doi.org/10.1002/2015JG003106, 2015.
Ahmerkamp, S., Winter, C., Krämer, K., de Beer, D., Janssen, F., Kuypers, M. M. M., and Holtappels, M.: Regulation of benthic oxygen fluxes in permeable sediments of the coastal ocean, Limnol. Oceanogr., https://doi.org/10.1002/?lno.10544, 2017.
Amirshahi, S. M., Winter, C., and Kwoll, E.: Characteristics of instantaneous turbulent events in southern German Bight, in: River Flow, 2016.
Aßmann, S.: Entwicklung und Qualifizierung autonomer Messsysteme für den pH-Wert und die Gesamtalkalinität von Meerwasser, PhD-Thesis, Christian-Albrechts-University, Kiel, 2012.
Aßmann, S., Frank, C., and Körtzinger, A.: Spectrophotometric high-precision seawater pH determination for use in underway measuring systems, Ocean Sci., 7, 597–607, https://doi.org/10.5194/os-7-597-2011, 2011.
Badewien, T. H., Zimmer, E., Bartholoma, A., and Reuter, R.: Towards continuous long-term measurements of suspended particulate matter (SPM) in turbid coastal waters, Ocean Dynam., 59, 227–238, https://doi.org/10.1007/S10236-009-0183-8, 2009.
Behrenfeld, M. J. and Falkowski, P. G.: Photosynthetic Rates Derived from Satellite-Based Chlorophyll Concentration, Limnol. Oceanogr., 42, 1–20, 1997.
Behrenfeld, M. J., Boss, E., Siegel, D. A., and Shea, D. M.: Carbon-based ocean productivity and phytoplankton physiology from space, Global Biogeochem. Cy., 19, GB1006, https://doi.org/10.1029/2004GB002299, 2005.
Bell, P. S. and Thorne, P. D.: Application of a high resolution acoustic scanning system for imaging sea bed microtopography, Seventh International Conference on Electronic Engineering in Oceanography, Tech. Trans. Res. Ind., 128–133, https://doi.org/10.1049/cp:19970673, 1997.
Booij, K., Robinson, C. D., Burgess, R. M., Mayer, P., Roberts, C. A., Ahrens, L., Allan, I. J., Brant, J., Jones, L., Kraus, U. R., Larsen, M. M., Lepom, P., Petersen, J., Pröfrock, D., Roose, P., Schäfer, S., Smedesp, F., Tixier, C., Vorkamp, K., and Whitehouse, P.: Passive Sampling in Regulatory Chemical Monitoring of Nonpolar Organic Compounds in the Aquatic Environment, Environ. Sci. Technol., 50, 3–17, https://doi.org/10.1021/acs.est.5b04050, 2016.
Borges, A. V.: Do we have enough pieces of the jigsaw to integrate CO2 fluxes in the coastal ocean?, Estuaries, 28, 3–27, https://doi.org/10.1007/BF02732750, 2005.
Brand, M. and Fischer, P.: Species composition and abundance of the shallow water fish community of Kongsfjorden, Svalbard, Polar Biol., 39, 1–13, https://doi.org/10.1007/s00300-016-2022-y, 2016.
Breitbach, G., Krasemann, H., Behr, D., Beringer, S., Lange, U., Vo, N., and Schroeder, F.: Accessing diverse data comprehensively – CODM, the COSYNA data portal, Ocean Sci., 12, 909–923, https://doi.org/10.5194/os-12-909-2016, 2016.
Bruno, L., Braca, P., Horstmann, J., and Vespe, M.: Experimental Evaluation of the Range-Doppler Coupling on HF Surface Wave Radar, IEEE Geosci. Remote S., 10, 4, 850–854, https://doi.org/10.1109/LGRS.2012.2226203, 2013.
Burchard, H. and Badewien, T. H.: Thermohaline circulation of the Wadden Sea, Ocean Dynam., 65, 1717–1730, https://doi.org/10.1007/s10236-015-0895-x, 2015.
Burchard, H. and Bolding, K.: GETM: A general estuarine transport model. European Commission Joint Research Centre Tech. Rep. EUR 20253 EN, 157, 2002.
Burchard, H., Flöser, G., Staneva, J. V., Badewien, T. H., and Riethmüller, R.: Impact of Densitiy Gradients on Net Sediment Transport into the Wadden Sea, J. Phys. Oceanogr., 38, 566–587, https://doi.org/10.1175/2007JPO3796.1, 2008.
Busch, J., Price, I., Jeauson, E., Zielinski, O., and v.d. Woerd, H. J.: Citizens and satellites: Assessment of phytoplankton dynamics in a NW Mediterranean aquaculture zone, Int. J. Appl. Earth Obs., 47, 40–49, https://doi.org/10.1016/j.jag.2015.11.017, 2016.
Busch, J. A., Hedley, J. D., and Zielinski, O.: Correction of hyperspectral reflectance measurements for surface objects and direct sun reflection on surface waters, Int. J. Remote Sens., 34.2013, 19, 6651–6667, https://doi.org/10.1080/01431161.2013.804226, 2013.
Busch, M., Kannen, A., Garthe, S., and Jessopp, M.: Consequences of a cumulative perspective on marine environmental impacts: offshore wind farming and seabirds at North Sea scale in context of the EU Marine Strategy Framework Directive, Ocean Coast. Manage., 71, 213–224, https://doi.org/10.1016/j.ocecoaman.2012.10.016, 2013.
Buschbaum, C., Lackschewitz, D., and Reise, K.: Nonnative macrobenthos in the Wadden Sea ecosystem, Ocean Coast. Manage., 68, 89–101, https://doi.org/10.1016/j.ocecoaman.2011.12.011, 2012.
Carder, K. L., Hawes, D. K., Baker, K. A., Smith, R. C., Steward, R. G., and Mitchell, B. G.: Reflectance model for quantifying chlorophyll a in the presence of productivity degradation products, J. Geophys. Res., 96, 20599–20611, https://doi.org/10.1029/91JC02117, 1991.
Carpenter, J. R., Merckelbach, L., Callies, U., Clark, S., Gaslikova, L., and Baschek, B.: Potential Impacts of Offshore Wind Farms on North Sea Stratification, PLoS ONE, 11, e0160830, https://doi.org/10.1371/journal.pone.0160830, 2016.
Chen, C. T. A. and Borges, A. V.: Reconciling opposing views on carbon cycling in the coastal ocean: continental shelves as sinks and near-shore ecosystems as sources of atmospheric CO2, Deep-Sea Res. Pt. II, 56, 8–10, 578–590, https://doi.org/10.1016/j.dsr2.2009.01.001, 2009.
Colijn, F. and de Jonge, V. N.: Primary production of microphytobenthos in the Ems_Dollard estuary, Mar. Ecol.-Progr. Ser., 14, 185–196, 1984.
Constantinescu, G., Garcia, M., and Hanes, D. (Eds.): Taylor & Francis Group, Boca Raton, FL CRC Press 2016, 175–182, ISBN: 978-1-138-02913-2, ISBN: 978-1-317-28912-8, 2016.
Cottier, F., Tverberg, V., Inall M., Svendsen, H., Nilsen, F., and Griffiths, C.: Water mass modification in an Arctic fjord through cross-shelf exchange: The seasonal hydrography of Kongsfjorden, Svalbard, J. Geophys. Res., 110, C12005, https://doi.org/10.1029/2004JC002757, 2005.
Dittmann, S. (Ed.): The Wadden Sea Ecosystem: stability properties and mechanism, Springer Berlin Heidelberg, ISBN: 978-3-642-64256-2, https://doi.org/10.1007/978-3-642-60097-5, 1999.
Doerffer, R. and Schiller, H.: The MERIS Case 2 water algorithm, Int. J. Remote Sens., 28, 517–535, https://doi.org/10.1080/01431160600821127, 2007.
Dore, J. E., Lukas, R., Sadler, D. W., Church, M. J., and Karl, D. M.: Physical and biogeochemical modulation of ocean acidification in the central North Pacific, P. Natl. Acad. Sci. USA, 106, 12235–12240, https://doi.org/10.1073/pnas.0906044106, 2009.
Drücker, S., Steglich, D., Merckelbach, L., Werner, A., and Bargmann, S.: Finite element damage analysis of an underwater glider–ship collision, J. Mar. Sci. Technol., 1–10, https://doi.org/10.1007/s00773-015-0349-7, 2015.
Dzvonkovskaya, A., Gurgel, K.-W., Rohling, H., and Schlick, T.: Low power high frequency surface wave radar application for ship detection and tracking, Proc. Int. Conf. Radar, Adelaide, SA, 627–632, https://doi.org/10.1109/RADAR.2008.4653998, 2008.
Eaton, G., Drach, T., and Hankin, S.: netCDF Climate and Forecast (CF) Metadata Conventions, Version 1.5, available at: http://cfconventions.org/Data/cf-conventions/cf-conventions-1.5/build/cf-conventions.html (last access: May 2017), 2010.
EC Directive: Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community, available at: http://eurlex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2007:108:0001:0014:EN:PDF (last access: May 2017), 2007.
Emeis, K.-C., van Beusekom, J., Callies, U., Ebinghaus, R., Kannen, A., Kraus, G., Kröncke, I., Lenhart, H., Lorkowski, I., Matthias, V., Möllmann, C., Pätsch, J., Scharfe, M., Thomas, H., Weisse, R., and Zorita, E.: The North Sea – A shelf sea in the Anthropocene, J. Mar. Syst., 141, 18–33, https://doi.org/10.1016/j.jmarsys.2014.03.012, 2015.
Eschenbach, C. A.: Bridging the gap between observational oceanography and users, Ocean Sci., 13, 161–173, https://doi.org/10.5194/os-13-161-2017, 2017.
Feely, R. A., Doney, S. C., and Cooley, S. R.: Ocean acidification: Present conditions and future changes in a high-CO2 world, Oceanogr., 22, 36–47, https://doi.org/10.5670/oceanog.2009.95, 2009.
Fischer, P., Schwanitz, M., Loth, R., Posner, U., Brand, M., and Schröder, F.: First year of practical experiences of the new Arctic AWIPEV-COSYNA cabled Underwater Observatory in Kongsfjorden, Spitsbergen, Ocean Sci., 13, 259–272, https://doi.org/10.5194/os-13-259-2017, 2017.
Flöser, G., Burchard, H., and Riethmüller, R.: Observational evidence for estuarine circulation in the German Wadden Sea, Cont. Shelf Res., 31, 1633–1639, https://doi.org/10.1016/j.csr.2011.03.014, 2011.
Frank, C. and Schroeder, F.: Using Sequential Injection Analysis to Improve System and Data Reliability of Online Methods: Determination of Ammonium and Phosphate in Coastal Waters, J. Autom. Method. Manag., 49535, https://doi.org/10.1155/2007/49535, 2007.
Frank, C., Schroeder, F., Ebinghaus, R., and Ruck, W.: A Fast Sequential Injection Analysis System for the Simultaneous Determination of Ammonia and Phosphate, Microchim. Ac., 154, 31–38, https://doi.org/10.1007/s00604-006-0496-y, 2006.
Frank, C., Meier, D., Voss, D., and Zielinski, O.: Computation of nitrate concentrations in coastal waters using an in situ ultraviolet spectrophotometer: Behavior of different computation methods in a case study a steep salinity gradient in the southern North Sea, Meth. Oceanogr., 9, 34–43, https://doi.org/10.1016/j.mio.2014.09.002, 2014.
Friedrich, J., van Beusekom, J. E. E., Neumann, A., Naderipour, C., Janssen, F. Ahmerkamp, S., Holtappels, M., and Krämer, K.: Long-term impact of bottom trawling on pelagic-benthic coupling inthe southern North Sea (German Bight), EGU2016-15791, 2016.
Furness, R. W. and Camphuysen, C. J.: Seabirds as monitors of the marine environment, ICES J. Mar. Sci., 54, 726–737, https://doi.org/10.1006/jmsc.1997.0243, 1997.
Garaba, S. P. and Zielinski, O.: Comparison of remote sensing reflectance from above-water and in-water measurements west of Greenland, Labrador Sea, Denmark Strait, and west of Iceland, Opt. Expr., 21, 15938–15950, https://doi.org/10.1364/OE.21.015938, 2013a.
Garaba, S. P. and Zielinski, O.: Methods in reducing surface reflected glint for shipborne above-water remote sensing, J. Eur. Opt. Soc.-Rapid, 8, 1–8, https://doi.org/10.2971/jeos.2013.13058, 2013b.
Garaba, S. P., Schulz, J., Wernand, M. R., and Zielinski, O.: Sunglint detection for unmanned and automated platforms, Sensors 12, 12545–12561, https://doi.org/10.3390/s120912545, 2012.
Garaba, S. P., Badewien, T. H., Braun, A., Schulz, A.-C., and Zielinski, O.: Using ocean colour remote sensing products to estimate turbidity at the Wadden Sea time series station Spiekeroog, J. Eur. Opt. Soc.-Rapid, 9, 1–6, https://doi.org/10.2971/jeos.2014.14020, 2014a.
Garaba, S. P., Voß, D., and Zielinski, O.: Physical, bio-optical state and correlations in North–Western European Shelf Seas, Remote Sens., 6, 5042–5066, https://doi.org/10.3390/rs6065042, 2014b.
Garaba, S. P., Friedrichs, A., Voss, D., and Zielinski, O.: Classifying natural waters with Forel-Ule Colour Index System: Results, Applications, Correlations and Crowdsourcing, Intl. J. Environ. Res. Publ. Health, 12, 16096–16109, https://doi.org/10.3390/ijerph121215044, 2015a.
Garaba, S. P., Voß, D., Wollschläger, J., and Zielinski, O.: Modern approaches to shipborne ocean colour remote sensing, Appl. Opt., 54, 3602–3612, https://doi.org/10.1364/AO.54.003602, 2015b.
Garthe, S. and Hüppop, O.: Scaling possible adverse effects of marine wind farms on seabirds: developing and applying a vulnerability index, J. Appl. Ecol., 41, 724–734, https://doi.org/10.1111/j.0021-8901.2004.00918.x, 2004.
Garthe, S., Peschko, V., Kubetzki, U., and Corman, A.-M.: Seabirds as samplers of the marine environment – a case study in Northern Gannets, Ocean Sci., submitted, 2017.
Gohin, F., Druon, J. N., and Lampert, L.: A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters, Int. J. Remote Sens., 23, 8, 1639–1661, https://doi.org/10.1080/01431160110071879, 2002.
Gollasch, S., Haydar, D., Minchin, D., Wolff, W. J., and Reise, K.: Introduced aquatic species of the North Sea coasts and adjacent brackish waters, in: Biological Invasions in Marine Ecosystems, edited by: Rilov, G. and Crooks, J. A., Ecological Studies, 204, 507–528, https://doi.org/10.1007/978-3-540-79236-9_29, 2009.
Grashorn, S., Lettmann, K. A., Wolff, J.-O., Badewien, T. H., and Stanev, E. V.: East Frisian Wadden Sea hydrodynamics and wave effects in an unstructured-grid model, Ocean Dynam., 65, 419–434, https://doi.org/10.1007/s10236-014-0807-5, 2015.
Grayek, S., Staneva, J., Schulz-Stellenfleth, J., Petersen, W., and Stanev, E. V.: Use of FerryBox surface temperature and salinity measurements to improve model based state estimates for the German Bight, J. Mar. Syst., 88, 45–59, https://doi.org/10.1016/j.jmarsys.2011.02.020, 2011.
Gurgel, K.-W., Antonischki, G., Essen, H.-H., and Schlick, T.: Wellen Radar (WERA): A new ground-wave based HF radar for ocean remote sensing, Coast. Eng., 37, 219–234, 1999.
Günther, H., Hasselmann, S. and Janssen, P. A. E. M.: The WAM model cycle 4, Report Deutsches Klimarechenzentrum, DKRZ-TR-4, 26, 1, 1992.
Haller, M., Janssen, F., Siddorn, J., Petersen, W., and Dick, S.: Evaluation of numerical models by FerryBox and fixed platform in situ data in the southern North Sea, Ocean Sci., 11, 879–896, https://doi.org/10.5194/os-11-879-2015, 2015.
Hegseth, E. N. and Tverberg, V.: Effect of Atlantic water inflow on timing of the phytoplankton spring bloom in a high Arctic fjord (Kongsfjorden, Svalbard), J. Mar. Syst., 113–114, 94–105, https://doi.org/10.1016/j.jmarsys.2013.01.003, 2013.
Helmholz, H., Lassen, S., Ruhnau, C., Pröfrock, D., Erbslöh, H.-B., and Prange, A.: Investigation on the proteome response of transplanted Blue mussel (Mytilus sp.) during a long term exposure experiment at differently impacted field stations in the German Bight (North Sea), Mar. Environ. Res., 110, 69–80, 2015.
Hodapp, D., Meier, S., Muijsers, F., Badewien, T. H., and Hillebrand, H.: Structural equation modeling approach to the diversity-productivity relationship of Wadden Sea phytoplankton, Mar. Ecol.-Progr. Ser., 523, 31–40, https://doi.org/10.3354/meps11153, 2015.
Holinde, L., Badewien, T. H., Freund, J. A., Stanev, E. V., and Zielinski, O.: Processing of water level derived from water pressure data at the Time Series Station Spiekeroog, Earth Syst. Sci. Data, 7, 289–297, https://doi.org/10.5194/essd-7-289-2015, 2015.
Hofmeister, R., Flöser, G., and Schartau, M.: Estuarine circulation sustains horizontal nutrient gradients in freshwater-influenced coastal systems, Geo-Marine Letters, under revision, 2017.
Hop, H., Pearson, T., Hegseth, E. N., Kovacs, K. M., Wiencke, C., Kwasniewski, S., Eiane, K., Mehlum, F., Gulliksen, B., Wlodarska-Kowalczuk, M., Lydersen, C., Weslawski, J. M., and Cochrane, S.: The marine ecosystem of Kongsfjorden, Svalbard, Polar Res., 21, 167–208, https://doi.org/10.1111/j.1751-8369.2002.tb00073.x, 2002.
Hop, H., Wiencke, C., Vögele, B., and Kovaltchouk, N. A.: Species composition, zonation, and biomass of marine benthic macroalgae in Kongsfjorden, Svalbard, Bot. Mar., 55, 399–414, https://doi.org/10.1515/bot-2012-0097, 2012.
Howarth, M. J.: North Sea circulation, Encyclopedia of Ocean Sciences, 1, 1912–1921, 2001.
Intergovernmental Oceanographic Commission (of UNESCO): The Case for GOOS. Report of the IOC Blue Ribbon Panel for a Global Ocean Observing System (GOOS), IOC/INF-915, Paris, 62, 27 January 1993.
Intergovernmental Oceanographic Commission: GOOS Coastal Module Planning Workshop Report, Scientific Committee on Oceanic Research of ICSU for J-GOOS, Workshop Report No. 131, GOOS No. 35, Miami, 57, 24–28 February 1997.
IPCC: Climate Change 2014: Synthesis Report, Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Core Writing Team, edited by: Pachauri, R. K. and Meyer, L. A., IPCC, Geneva, Switzerland, 151 pp., 2014.
Janssen, F., Färber, P., Huettel, M., Meyer, V., and Witte, U.: Pore-water advection and solute fluxes in permeable marine sediments (I): Calibration and performance of the novel benthic chamber system Sandy, Limnol. Oceanogr., 50, 768–778, 2005.
Jones, C., Creed, E., Glenn, S., Kerfoot, J., Kohut, J., Mudgal, C., and Schofield, O.: Slocum gliders – a component of operational oceanography, Proc. UUST, Autonomous Undersea Systems Institute, 2005.
Kays, R., Crofoot, M. C., Jetz, W., and Wikelski, M.: Terrestrial animal tracking as an eye on life and planet, Science, 348, aaa2478, https://doi.org/10.1126/science.aaa2478, 2015.
Kirk, J. T. O.: Point-source integrating-cavity absorption meter: theoretical principles and numerical modeling, Appl. Opt., 36, 6123–6128, https://doi.org/10.1364/AO.36.006123, 1997.
Komen, G. J., Cavaleri, L., Donelan, M., Hasselmann, K., Hasselmann, S., and Janssen, P.: Dynamics and Modelling of Ocean Waves, Cambridge University Press, Cambridge, UK, 560, 1994.
Koschinsky, S., Culik, B., Henriksen, O. D., Tregenza, N., Ellis, G., Jansen, C., and Kathe, G.: Behavioral reactions of free-ranging porpoises and seals to the noise of a simulated 2 MW windpower generator, Mar. Ecol.-Progr. Ser., 265, 263–273, https://doi.org/10.3354/meps265263, 2003.
Kwoll, E., Winter, C., and Becker, M.: Intermittent suspension and transport of fine sediment over natural tidal bedforms, in: Coherent Structures in Flows at the Earth's Surface, edited by: Venditti, J. G., Best, J., Church, M. and Hardy, R. J., Wiley-Blackwell, London, https://doi.org/10.1002/9781118527221.ch15, 2013.
Kwoll, E., Becker, M., and Winter, C.: With or against the tide: the influence of bedform asymmetry on the formation of macroturbulence and suspended sediment patterns, Water Resour. Res., 50, 1–16, https://doi.org/10.1002/2013WR014292, 2014.
Krämer, K. and Winter, C.: Predicted ripple dimensions in relation to the precision of in situ measurements in the southern North Sea, Ocean Sci., 12, 1221–1235, https://doi.org/10.5194/os-12-1221-2016, 2016.
Lass, H. U., Mohrholz, V., Knoll, M., and Prandke, H.: Enhanced Mixing Downstream of a Pile in an Estuarine Flow, J. Mar. Syst., 74, 505–527, https://doi.org/10.1016/j.jmarsys.2008.04.003, 2008.
Lee, Z. P., Carder, K. L., Steward, R. G., Peacock, T. G., Davis, C. O., and Patch, J. S.: An Empirical Algorithm for Light Absorption by Ocean Water Based on Colour, J. Geophys. Res.-Oceans, 103, 27967–27978, https://doi.org/10.1029/98JC01946, 1998.
Lennartz, S. T., Lehmann, A., Herrford, J., Malien, F., Hansen, H.-P., Biester, H., and Bange, H. W.: Long-term trends at the Boknis Eck time series station (Baltic Sea), 1957–2013: does climate change counteract the decline in eutrophication?, Biogeosciences, 11, 6323–6339, https://doi.org/10.5194/bg-11-6323-2014, 2014.
Lerebourg, C. J. Y., Pilgrim, D. A., Ludbrook, G. D., and Neal, R.: Development of a point source integrating cavity absorption meter, J. Opt. A Pure Appl. Opt., 4, 4 S56–S65, 2002.
Lettmann, K. A., Wolff, J. O., and Badewien, T. H.: Modeling the impact of wind and waves on suspended particulate matter fluxes in the East Frisian Wadden Sea (southern North Sea), Ocean Dynam., 59, 239–262, https://doi.org/10.1007/S10236-009-0194-5, 2009.
Loewe, P. (Ed.): System Nordsee — Zustand 2005 im Kontext langzeitlicher Entwicklungen, Berichte des BSH, 44, Bundesamt für Seeschifffahrt und Hydrographie, Hamburg und Rostock, 270, 2009.
Lorkowski, I., Paetsch, J., Moll, A., and Kuehn, W.: Interannual variability of carbon fluxes in the North Sea from 1970 to 2006 – competing effects of abiotic and biotic drivers on the gas exchange of CO2, Estuarine, Coastal and Shelf Science 100, 38–57, https://doi.org/10.1016/j.ecss.2011.11.037, 2012.
Ludewig, E.: On the Effect of Offshore Wind Farms on the Atmosphere and Ocean Dynamics, Hamburg Studies on Maritime Affairs 31, Springer International Publishing Switzerland, https://doi.org/10.1007/978-3-319-08641-5_1, 2015 ISBN: 978-3-319-08640-8 (Print) 978-3-319-08641-5, 2015.
Maerz, J., Hofmeister, R., van der Lee, E. M., Gräwe, U., Riethmüller, R., and Wirtz, K. W.: Maximum sinking velocities of suspended particulate matter in a coastal transition zone, Biogeosciences, 13, 4863–4876, https://doi.org/10.5194/bg-13-4863-2016, 2016.
Maresca, S., Braca, P., Horstmann, J., and Grasso, R.: Maritime surveillance using multiple high-frequency surface-wave radars, IEEE T. Geosci. Remote, 52, 5056–5071, 2014.
Meier, S., Muijsers, F., Beck, M., Badewien, T. H., and Hillebrand, H.: Dominance of the non-indigenous diatom Mediopyxis helysia in Wadden Sea phytoplankton can be linked to broad tolerance to different Si and N supplies, J. Sea. Res., 95, 36–44, https://doi.org/10.1016/J.Seares.2014.10.001, 2015.
Merckelbach, L.: On the probability of underwater glider loss due to collision with a ship, J. Mar. Sci. Techonol., 18, 75–86, https://doi.org/10.1007/s00773-012-0189-7, 2013.
Merckelbach, L.: Depth-averaged instantaneous currents in a tidally dominated shelf sea from glider observations, Biogeosciences, 13, 6637–6649, https://doi.org/10.5194/bg-13-6637-2016, 2016.
Metfies, K., Schroeder, F., Hessel, J., Wollschläger, J., Micheller, S., Wolf, C., Kilias, E., Sprong, P., Neuhaus, S., Frickenhaus, S., and Petersen, W.: High-resolution monitoring of marine protists based on an observation strategy integrating automated on-board filtration and molecular analyses, Ocean Sci., 12, 1237–1247, https://doi.org/10.5194/os-12-1237-2016, 2016.
Moore, C., Barnand, A., Fietzek, P., Lewis, M., Sosik, H., White, S., and Zielinski, O.: Optical tools for ocean monitoring and research, Ocean Sci., 5, 661–684, https://doi.org/10.5194/os-5-661-2009, 2009.
Neumann, A., Friedrich, J., van Beusekom, J. E. E., and Naderipour, C.: Spatial and temporal patterns in oxygen and nutrient fluxes in sediment of German Bight (North Sea), EGU 2016-14238, 2016.
North, R. P., Riethmüller, R., and Baschek, B.: Detecting small–scale horizontal gradients in the upper ocean using wavelet analysis, Estuarine, Coast. Shelf Sci., 180, 221–229, https://doi.org/10.1016/j.ecss.2016.06.031, 2016.
NOSCCA: North Sea Climate Change Assessment, edited by: Quante, M. and Colijn, F., Springer, 528 pp., https://doi.org/10.1007/978-3-319-39745-0, 2016.
Oehmcke, S., Zielinski, O., and Kramer, O.: Event detection in marine time series data. Proceedings of KI 2015: Advances in Artifical Intelligence, Lecture Notes Comp. Sci., 9324, 279–286, https://doi.org/10.1007/978-3-319-24489-1_24, 2015.
Onken, R. and Riethmüller, R.: Determination of the freshwater budget of tidal flats from measurements near a tidal inlet, Cont. Shelf Res., 30, 924–933, https://doi.org/10.1016/j.csr.2010.02.004, 2010.
Onken, R., Callies, U., Vaessen, B., and Riethmüller, R.: Indirect determination of the heat budget of tidal flats, Cont. Shelf Res., 27, 1656–1676, https://doi.org/10.1016/j.csr.2007.01.029, 2007.
Onken, R., Garbe, H., Schröder, S., and Janik, M.: A new instrument for sediment temperature measurements, J. Mar. Sci. Technol., 15, 427–433, https://doi.org/10.1007/s00773-010-0096-8, 2010.
Oehler, T., Martinez, R., Schückel, U., Winter, C., Kröncke, I., and Schlüter, M.: Seasonal and spatial variations of benthic oxygen and nitrogen fluxes in the Helgoland Mud Area (southern North Sea), Cont. Shelf Res., 106, 118–129, https://doi.org/10.1016/j.csr.2015.06.009, 2015a.
Oehler, T., Schlüter, M., and Schückel, U.: Seasonal dynamics of the biogenic silica cycle in surface sediments of the Helgoland Mud Area (southern North Sea), Cont. Shelf Res., 107, 103–114, https://doi.org/10.1016/j.csr.2015.07.016, 2015b.
Örek, H., Doerffer, R., Röttgers, R., Boersma, M., and Wiltshire, K. H.: Contribution to a bio-optical model for remote sensing of Lena River water, Biogeosciences, 10, 7081–7094, https://doi.org/10.5194/bg-10-7081-2013, 2013.
OSPAR: Second OSPAR Integrated Report on the Eutrophication Status of the OSPAR Maritime Area, OSPAR Commission, 2008.
Otto, L., Zimmerman, J. T. F., Furnes, G. K., Mork, M., Saetre, R., and Becker, G.: Review of the physical oceanography of the North Sea, Netherlands, J. Sea Res., 26, 161–238, 1990.
Petersen, J., Pröfrock, D., Paschke, A., Broekaert, J. A. C., and Prange, A.: Laboratory calibration and field testing of the Chemcatcher Metal for trace levels of rare earth elements in estuarine waters, Environ. Sci. Water Res. Technol., 22, 16051–16059, https://doi.org/10.1007/s11356-015-4823-x, 2015a.
Petersen, J., Pröfrock, D., Paschke, A., Langhans, V., Broekaert, J. A. C., and Prange, A.: Development and field test of a mobile continuous flow system utilizing Chemcatcher for monitoring of rare earth elements in marine environments, Environ. Sci. Water Res. Technol., https://doi.org/10.1039/c5ew00126a, 2015b.
Petersen, W.: FerryBox Systems: State-of-the-Art in Europe and Future Development, J. Mar. Syst., 140A, 4–12, https://doi.org/10.1016/j.jmarsys.2014.07.003, 2014.
Petersen, W., Schroeder, F., and Bockelmann, F.-D.: FerryBox – Application of continuous water quality observations along transects in the North Sea, Ocean Dynam., 61, 1541–1554, https://doi.org/10.1007/s10236-011-0445-0, 2011.
Postma, H.: Introduction to the symposium on organic matter in the Wadden Sea, Neth. Inst. Sea Res. Publ. Ser., 10, 15–22, 1984.
Reuter, R., Badewien, T. H., Bartholoma, A., Braun, A., Lübben, A., and Rullkötter, J.: A hydrographic time series station in the Wadden Sea (southern North Sea), Ocean Dynam., 59, 195–211, https://doi.org/10.1007/S10236-009-0196-3, 2009.
Riegman, R. and Colijn, F.: Evaluation of measurements and calculation of primary production in the Doggerbank area (North Sea) in summer 1988, Mar. Ecol.-Progr. Ser., 69, 125–132, 1991.
Robinson, I. S.: Measuring the oceans from space: the principles and methods of satellite oceanography, Berlin, Germany, Springer/Praxis Publishing, 669, 2004.
Röttgers, R., Schönfeld, W., Kipp, P. R., and Doerffer, R.: Practical test of a point-source integrating cavity absorption meter: the performance of different collector assemblies, Appl. Opt., 44, 5549–5560, https://doi.org/10.1364/AO.44.005549, 2005.
Rullkötter, J.: The back-barrier tidal flats in the southern North Sea – a multidisciplinary approach to reveal the main driving forces shaping the system, Ocean Dynam., 59, 157–165, 2009.
Schaap, D. and Lowry, R. K.: SeaDataNet—Pan-European Infrastructure for Marine and Ocean Data Management: Unified Access to Distributed Data Sets, Int. J. Digital Earth, 3, S1, 50–69, https://doi.org/10.1080/17538941003660974, 2010.
Schulz, A. C., Badewien, T. H., and Zielinski, O.: Impact of currents and turbulence on turbidity dynamics at the time series station Spiekeroog (Wadden Sea, Southern North Sea). Current, waves and turbulence measurement (CWTM), 11th IEEE/OES, 2015, https://doi.org/10.1109/CWTM.2015.7098095, 2015.
Schulz, J.: The geometric optics of subsea imaging. Invited chapter for the book “Subsea optics and imaging”, Woodhead Publishing, Editors: Watson and Zielinski, https://doi.org/10.1533/9780857093523.3.243, 2013.
Schulz, J., Barz, K., Ayon, P., Lüdtke, A., Zielinski, O., Mengedoht, D., and Hirche, H.-J.: Imaging of plankton specimens with the Lightframe On-sight Keyspecies Investigation (LOKI) system, Journal of the European Optical Society – Rapid publications 10017s, https://doi.org/10.2971/jeos.2010.10017s, 2010.
Schulz, M., von Beusekom, J., Bigalke, K., Brockmann, U. H., Dannecker, W., Gerwig, H., Grassl, H., Lenz, C.-J., Michaelsen, K., Niemeier, U., Nitz, T., Plate, E., Pohlmann, T., Raabe, T., Rebers, A., Reinhardt, V., Schatzmann, M., Schlünzen, K. H., Schmidt-Nia, R., Stahlschmidt, T., Steinhoff, G., and von Salzen, K.: The atmospheric impact on fluxes of nitrogen, POPs and energy in the German Bight, German J. Hydrogr., 51, 133–154, https://doi.org/10.1007/BF02764172, 1999.
Schrum, C., Alekseeva, I., and St. John, M.: Development of a coupled physical–biological ecosystem model ECOSMO: part I: model description and validation for the North Sea, J. Mar. Syst., 61.1, 79–99, 2006.
SCOR Working Group 75: Methodology for oceanic CO2 measurements, UNESCO technical papers in marine science, 65, 44, 1988.
SeaDataNet: Standards for Data Quality Control, available at: https://www.seadatanet.org/Standards (last access: May 2017), 2010.
Stanev, E. V., Schulz-Stellenfleth, J., Staneva, J., Grayek, S., Seemann, J., and Petersen, W.: Coastal observing and forecasting system for the German Bight – estimates of hydrophysical states, Ocean Sci., 7, 569–583, https://doi.org/10.5194/os-7-569-2011, 2011.
Stanev, E. V., Ziemer, F., Schulz-Stellenfleth, J., Seemann, J., Staneva, J., and Gurgel, K. W.: Blending Surface Currents from HF Radar Observations and Numerical Modelling: Tidal Hindcasts and Forecasts, J. Atmos. Ocean Techn., 32, 256–281, https://doi.org/10.1175/JTECH-D-13-00164.1, 2015.
Stanev, E. V., Schulz-Stellenfleth, J., Staneva, J., Grayek, S., Grashorn, S., Behrens, A., Koch, W., and Pein, J.: Ocean forecasting for the German Bight: from regional to coastal scales, Ocean Sci., 12, 1105–1136, https://doi.org/10.5194/os-12-1105-2016, 2016.
Staneva, J., Stanev, E. V., Wolff, J. O., Badewien, T. H., Reuter, R., Flemming, B., Bartholoma, A., and Bolding, K.: Hydroynamics and sediment dynamics in the German Bight. A focus on observations and numerical modelling in the East Frisian Wadden Sea, Cont. Shelf Res., 29, 302–319, https://doi.org/10.1016/J.Csr.2008.01.006, 2009.
Staneva, J., Behrens, A., and Groll, N.: Recent Advances in Wave Modelling for the North Sea and German Bight, Die Küste, 81, 1–586, 2014.
Stempniewicz, L., Błachowiak-Samołyk, K., and Wesławski, J. M.: Impact of climate change on zooplankton communities, seabird populations and arctic terrestrial ecosystem–A scenario, Deep-Sea Res. Pt. II, 54, 2934–2945, https://doi.org/10.1016/j.dsr2.2007.08.012, 2007.
Stroeve, J., Holland, M. M., Meier, W., Scambos, T., and Serreze, M.: Arctic sea ice decline: Faster than forecast, Geophys. Res. Lett., 34, L09501, https://doi.org/10.1029/2007GL029703, 2007.
Su, J., Tian, T., Krasemann, H., Schartau, M., and Wirtz, K.: Response patterns of phytoplankton growth to variations in resuspension in the German Bight revealed by daily MERIS data in 2003 and 2004, Oceanologia, 57, 328–341, https://doi.org/10.1016/j.oceano.2015.06.001, 2015.
Sündermann, J., Hesse, K.-J., and Beddig, S.: Coastal mass and energy fluxes in the southeastern North Sea, German J. Hydrogr., 51, 113–132, https://doi.org/10.1007/BF02764171, 1999.
Svendsen, H., Beszczynska-Møller, A., Hagen, J. O., Lefauconnier, B., Tverberg, V., Gerland, S., Ørbæk, J. B., Bischof, K., Papucci, C., Zajaczkowski, M., Azzolini, R., Bruland, O., and Wiencke, C.: The physical environment of Kongsfjorden/Krossfjorden, an Arctic fjord system in Svalbard, Polar Res., 21, 133–166, https://doi.org/10.1111/j.1751-8369.2002.tb00072.x, 2002.
Testor, P., Meyers, G., Pattiaratchi, C., Bachmayer, R., Hayes, D., Pouliquen, S., de la Villeon, L. P., Carval, T., Ganachaud, A., Gourdeau, L., Mortier, L., Claustre, H., Taillandier, V., Lherminier, P., Terre, T., Visbeck, M., Krahman, G., Karstensen, J., Alvarez, A., Rixen, M., Poulain, P., Osterhus, S., Tintore, J., Ruiz, S., Garau, B., Smeed, D., Griffiths, G., Merckelbach, L., Sherwin, T., Schmid, C., Barth, J., Schofield, O., Glenn, S., Kohut, J., Perry, M., Eriksen, C., Send, U., Davis, R., Rudnick, D., Sherman, J., Jones, C., Webb, D., Lee, C., Owens, B., and Fratantoni, D.: Gliders as a component of future observing systems, OceanObs'09: Sustained Ocean Observations and Information for Society, edited by: Hall, J., Harrison, D., and Stammer, D., 2 of OceansObs'09, Venice, Italy, eSA Publication WPP-306, https://doi.org/10.5270/OceanObs09.cwp.89, 2010.
UNESCO: Determination of chlorophyll in seawater: Report of intercalibration tests, UNESCO technical papers in marine science 35, 21, 1980.
van Beusekom, J. E. E. and de Jonge, V. N.: Long-term changes in Wadden Sea nutrient cycles: importance of organic matter import from the North Sea, Hydrobiol., 475/476, 185–194, https://doi.org/10.1023/A:1020361124656, 2002.
van Beusekom, J. E. E., Brockmann, U. H., Hesse, K.-J., Nickel, W., Pormeba, K., and Tillmann, U.: The importance of sediments in the transformation and turnover of nutrients and organic matter in the Wadden Sea and German Bight, German J. Hydrogr., 51, 245–266, https://doi.org/10.1007/BF02764176, 1999.
van Beusekom, J. E. E., Buschbaum, C., and Reise, K.: Wadden Sea tidal basins and the mediating role of the North Sea in ecological processes: scaling up of management?, Ocean Coast. Manage., 68, 69–78, https://doi.org/10.1016/j.ocecoaman.2012.05.002, 2012.
van De Poll, W. H., Maat, D. S., Fischer, P., Rozema, P. D., Daly, O. B., Koppelle, S., Visser, R. J. W., and Buma, A. G. J.: Atlantic Advection Driven Changes in Glacial Meltwater: Effects on Phytoplankton Chlorophyll-a and Taxonomic Composition in Kongsfjorden, Spitsbergen, Front. Mar. Sci., 3, 60, https://doi.org/10.3389/fmars.2016.00200, 2016.
van Leeuwen, S. M., van der Molen, J., Ruardij, P., Fernand, L., and Jickells, T.: Modelling the contribution of deep chlorophyll maxima to annual primary production in the North Sea, Biogeochemistry, 113, 137–152, 2013.
Vivone, G., Braca, P., and Horstmann, J.: Knowledge-Based Multi-Target Ship Tracking for HF Surface Wave Radar Systems, IEEE T. Geosci. Remote, 53, 3931–3949, https://doi.org/10.1109/TGRS.2014.2388355, 2015.
Voynova, Y. G., Brix, H., Petersen, W., Weigelt-Krenz, S., and Scharfe, M.: Extreme flood impact on estuarine and coastal biogeochemistry: the 2013 Elbe flood, Biogeosciences, 14, 541–557, https://doi.org/10.5194/bg-14-541-2017, 2017.
Wahl, T., Haigh, I. D., Woodworth, P. L., Albrecht, F., Dillingh, D., Jensen, J., Nicholls, R. J., Weisse, R., and Wöppelmann, G.: Observed mean sea level changes around the North Sea coastline from 1800 to present, Earth-Sci. Rev., 124, 51–67, https://doi.org/10.1016/j.earscirev.2013.05.003, 2013.
Wehkamp, S. and Fischer, P.: Impact of hard-bottom substrata on the small-scale distribution of fish and decapods in shallow subtidal temperate waters, Helgoland Mar. Res., https://doi.org/10.1007/s10152-012-0304-5, hdl:10013/epic.39252, 2012.
Wehkamp, S. and Fischer, P.: The impact of coastal defence structures (tetrapods) on decapod crustaceans in the southern North Sea, Mar. Environ. Res., 92, 52–60, https://doi.org/10.1016/j.marenvres.2013.08.011, hdl:10013/epic.47436, 2013a.
Wehkamp, S. and Fischer, P.: Impact of coastal defence structures (tetrapods) on a demersal hard-bottom fish community in the southern North Sea, Mar. Environ. Res., https://doi.org/10.1016/j.marenvres.2012.10.013, hdl:10013/epic.40445, 2013b.
Wehkamp, S. and Fischer, P.: A practical guide to the use of consumer-level digital still cameras for precise stereogrammetric in situ assessments in aquatic environments, Underw. Tech., 32, 111–128, https://doi.org/10.3723/ut.32.111, hdl:10013/epic.43817, 2014.
Willis, K., Cottier, F., Kwasniewski, S., Wold, A., and Falk-Petersen, S.: The influence of advection on zooplankton community composition in an Arctic fjord (Kongsfjorden, Svalbard), J. Marine Syst., 61, 39–54, https://doi.org/10.1016/j.jmarsys.2005.11.013, 2006.
Wilson, R. P. and Vandenabeele, S. P.: Technological innovation in archival tags used in seabird research, Mar. Ecol.-Prog. Ser., 451, 245–262, https://doi.org/10.3354/meps09608, 2012.
Wirtz, K. and Kerimoglu, O.: Optimality and variable co-limitation controls autotrophic stoichiometry, Front. Mar. Sci., submitted, 2017.
Witte, U. and Pfannkuche, O.: High rates of benthic carbon remineralization in the abyssal Arabian Sea, Deep-Sea Res. Pt. II, 47, 2785–2804, https://doi.org/10.1016/S0967-0645(00)00049-7, 2000.
Wollschläger, J., Grunwald, M., Röttgers, R., and Petersen, W.: Flow-through PSICAM: a new approach for determining water constituents absorption continuously, Ocean Dynam., 63, 761–775, https://doi.org/10.1007/s10236-013-0629-x, 2013.
Wollschläger, J., Röttgers, R., Petersen, W., and Wiltshire, K. H.: Performance of absorption coefficient measurements for the in situ determination of chlorophyll a and total suspended matter, J. Exp. Mar. Biol. Ecol., 453, 138–147, https://doi.org/10.1016/j.jembe.2014.01.011, 2014.
Zielinski, O., Busch, J. A., Cembella, A. D., Daly, K. L., Engelbrektsson, J., Hannides, A. K., and Schmidt, H.: Detecting marine hazardous substances and organisms: sensors for pollutants, toxins, and pathogens, Ocean Sci., 5, 329–349, https://doi.org/10.5194/os-5-329-2009, 2009.
Zielinski, O., Voss, D., Saworski, B., Fiedler, B., and Koertzinger, A.: Computation of nitrate concentrations in turbid coastal waters using an in situ ultraviolet spectrophotometer, J. Sea Res., 65, 456–460, 2011.
Short summary
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.
The Coastal Observing System for Northern and Arctic Seas (COSYNA) was established in order to...
