Extreme flood impact on estuarine and coastal biogeochemistry: the 2013 Elbe flood

Voynova, Yoana G.; Brix, Holger; Petersen, Wilhelm; Weigelt-Krenz, Sieglinde; Scharfe, Mirco

doi:10.5194/bg-14-541-2017

Cited by 42 publications

(43 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6). A strong discharge period in the summer of 2013 led to a substantial decrease in salinity, with nearly freshwater conditions at low water for a 2-week period (Voynova et al, 2017).…”

Section: Stationary Ferryboxesmentioning

confidence: 99%

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

et al. 2017

Self Cite

View full text Add to dashboard Cite

Abstract. 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 German Bight in the North Sea as a prime example of a heavily used coastal area, and Svalbard as an example of an Arctic coast that is under strong pressure due to global change.The COSYNA automated observing and modelling system is designed to monitor real-time conditions and provide short-term forecasts, data, and data products to help assess the impact of anthropogenically induced change. Observations are carried out by combining satellite and radar remote sensing with various in situ platforms. Novel sensors, instruments, and algorithms are developed to further improve the understanding of the interdisciplinary interactions between physics, biogeochemistry, and the ecology of coastal seas. New modelling and data assimilation techniques are used to integrate observations and models in a quasi-operational system providing descriptions and forecasts of key hydrographic variables.

show abstract

“…6). A strong discharge period in the summer of 2013 led to a substantial decrease in salinity, with nearly freshwater conditions at low water for a 2-week period (Voynova et al, 2017).…”

Section: Stationary Ferryboxesmentioning

confidence: 99%

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…Bathymetry used in the model simulation (Southeast North Sea experiment) is received from the EMODnet Bathymetry Consortium (2016) database (https://doi.org/10.12770/c7b53704-999d-4721-b1a3-04ec60c87238) and is freely available online. The TRIM-NP model is used to initialize runs for 1 year (Weisse et al, 2015). NCEP/NCAR reanalysis atmospheric forcing data (Kalnay et al, 1996) used in the model are freely available online.…”

Section: Discussionmentioning

confidence: 99%

“…It is characterized by complex bathymetry with strong tidal dynamics (Maßmann et al, 2010;Idier et al, 2017). The related estuarine circulation (Burchard et al, 2008;Flöser et al, 2011), strong lateral salinity, and nutrient gradients and river plumes (Voynova et al, 2017;Kerimoglu et al, 2017) are important aspects of this area. In our simulations, the mesh consists of mainly quadrilateral cells.…”

Section: Southeast North Sea Circulationmentioning

confidence: 99%

“…Model runs were forced by 6-hourly atmospheric data from NCEP/NCAR Reanalysis (Kalnay et al., 1996) and daily resolved observed river runoff (Radach and Pätsch, 2007;Pätsch and Lenhart, 2011). Salinity and temperature data on the open boundary were extracted from hindcast simulations based on TRIM-NP (Weisse et al, 2015). The sea surface elevation at the open boundary was prescribed in terms of amplitudes and phase for M 2 and M 4 tidal waves derived from the previous simulations of the North Sea (Maßmann et al, 2010;Danilov and Androsov, 2015).…”

Section: Southeast North Sea Circulationmentioning

confidence: 99%

See 1 more Smart Citation

FESOM-C v.2: coastal dynamics on hybrid unstructured meshes

et al. 2019

Self Cite

View full text Add to dashboard Cite

Abstract. We describe FESOM-C, the coastal branch of the Finite-volumE Sea ice – Ocean Model (FESOM2), which shares with FESOM2 many numerical aspects, in particular its finite-volume cell-vertex discretization. Its dynamical core differs in the implementation of time stepping, the use of a terrain-following vertical coordinate, and the formulation for hybrid meshes composed of triangles and quads. The first two distinctions were critical for coding FESOM-C as an independent branch. The hybrid mesh capability improves numerical efficiency, since quadrilateral cells have fewer edges than triangular cells. They do not suffer from spurious inertial modes of the triangular cell-vertex discretization and need less dissipation. The hybrid mesh capability allows one to use quasi-quadrilateral unstructured meshes, with triangular cells included only to join quadrilateral patches of different resolution or instead of strongly deformed quadrilateral cells. The description of the model numerical part is complemented by test cases illustrating the model performance.

show abstract

“…In 2012, estuarine salinity followed a typical cycle of retreated towards the sea steep salinity front in winter and advancing into the estuarine shallower salinity front during summer. In the year of 2013 this trend was perturbed by a major flood event in June (see Voynova et al, 2017). In this month of extreme river discharge, the salinity front retreated towards the ocean as far as during winter periods in both 2012 and 2013.…”

Section: Tides and Salinity Frontmentioning

confidence: 97%

Nitrogen cycling in the Elbe estuary from a joint 3D-modelling and observational perspective

Pein

Eisele

Hofmeister

et al. 2019

Preprint

View full text Add to dashboard Cite

<p><strong>Abstract.</strong> The study addresses the nitrogen cycling in Elbe estuary. Observations of salinity, nutrients and oxygen from moored stations, ship casts and helicopter surveys are presented. Observations are complemented by simulations obtained from a coupled physical-biogeochemical 3D unstructured model, applied for the first time to the estuarine environment. Model simulations reproduce the temporal variability of nutrients and oxygen along the estuarine salinity gradient. Both, observations and model results, demonstrate mostly conservative mixing of nitrate and non-conservative behavior of ammonium. Model hind-casts of the years 2012 and 2013 provide a detailed reconstruction of nitrogen recycling with ammonium appearing as the key species of the remineralisation process. Estuarine turnover processes are fueled by inputs of diatoms and organic nitrogen at the tidal weir with intense primary production manifest in the shallow river section downstream of the weir. The harbor area is the hot spot of heterotrophic decay associated with growth of meso-zooplankton, sedimentation of degradable material, remineralisation, oxygen depletion, denitrification and ammonium production. In the harbor, biochemistry shows strong vertical gradients while hydrodynamics demonstrate connectivity between the main channel and the harbor. At the estuary bed nitrogen is deposited during spring and early summer. Resuspension leads to nearly closed budget by the end of the year. During the Elbe flood in June 2013, estuarine biogeochemistry is significantly disturbed with the harbor being deactivated as hot spot of heterotrophic decay. Plankton and organic matter are flushed towards the outer estuary which in consequence sees high abundance of grazers, oxygen depletion and elevated release of ammonium.</p>

show abstract

Extreme flood impact on estuarine and coastal biogeochemistry: the 2013 Elbe flood

Cited by 42 publications

References 41 publications

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

FESOM-C v.2: coastal dynamics on hybrid unstructured meshes

Nitrogen cycling in the Elbe estuary from a joint 3D-modelling and observational perspective

Contact Info

Product

Resources

About