FerryBox - application of continuous water quality observations along transects in the North Sea

Petersen, Wilhelm; Krasemann, H.; Gehrung, Martina; Schroeder, Friedhelm; Khan, Amina H.

doi:10.1109/oceanse.2009.5278206

Cited by 8 publications

(15 citation statements)

References 15 publications

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“…This has been described in Queste et al (2013) Together with salty water (> 35 psu) from the English Channel, frontal zones are forming in this region, as has been observed e.g. by FerryBox measurements (Petersen et al, 2011). The German Bight area, where point (p3) is situated, is governed by the Continental Coastal Water current, the input of freshwater, and the complex exchange processes between the Wadden Sea and the North Sea.…”

Section: Methodsmentioning

confidence: 58%

“…More information about the FerryBox system can be found e.g. in Petersen et al (2003Petersen et al ( , 2011.…”

Section: Ferrybox Systemmentioning

confidence: 99%

“…TD travels along the German and Dutch coasts to England and back. In Petersen et al (2011), this point has been previously selected for analysis of low saline water of fluvial origin, which have been observed by two FerryBox transects crossing at this point. Model simulations of BSHcmod v4 are available for the time period of 2009-2012, for AMM7 from 2011-2012.…”

Section: Oyster Groundmentioning

confidence: 99%

“…However, the influence of these transect data is limited to grid points along a transect. Wehde et al (2006) and Petersen et al (2011) applied a water transport model for comparison of FerryBox measurements with other operational observations. The aim of this study is to compare numerical model data with in-situ measurements of different monitoring systems (FerryBox, fixed platforms).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of numerical models by FerryBox and Fixed Platform in-situ data in the southern North Sea

Haller¹,

Janssen²,

Siddorn³

et al. 2015

Preprint

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Abstract. FerryBoxes installed on ships of opportunity (SoO) provide high-frequency surface biogeochemical measurements along selected tracks on a regular basis. Within the European FerryBox Community, several FerryBoxes are operated by different institutions. Here we present a comparison of model simulations applied to the North Sea with FerryBox temperature and salinity data from a transect along the southern North Sea and a more detailed analysis at three different positions located off the English East coast, at the Oyster Ground and in the German Bight. In addition to the FerryBox data, data from a Fixed Platform of the MARNET network are applied. Two operational hydrodynamic models have been evaluated for different time periods: results of BSHcmod v4 are analysed for 2009–2012, while simulations of FOAM AMM7 NEMO have been available from MyOcean data base for 2011 and 2012. The simulation of water temperatures is satisfying; however, limitations of the models exist, especially near the coast in the southern North Sea, where both models are underestimating salinity. Statistical errors differ between the models and the measured parameters, as the root mean square error (rmse) accounts for BSHcmod v4 to 0.92 K, for AMM7 only to 0.44 K. For salinity, BSHcmod is slightly better than AMM7 (0.98 and 1.1 psu, respectively). The study results reveal weaknesses of both models, in terms of variability, absolute levels and limited spatial resolution. In coastal areas, where the simulation of the transition zone between the coasts and the open ocean is still a demanding task for operational modelling, FerryBox data, combined with other observations with differing temporal and spatial scales serve as an invaluable tool for model evaluation and optimization. The optimization of hydrodynamical models with high frequency regional datasets, like the FerryBox data, is beneficial for their subsequent integration in ecosystem modelling.

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Section: Methodsmentioning

confidence: 58%

“…More information about the FerryBox system can be found e.g. in Petersen et al (2003Petersen et al ( , 2011.…”

Section: Ferrybox Systemmentioning

confidence: 99%

Section: Oyster Groundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of numerical models by FerryBox and Fixed Platform in-situ data in the southern North Sea

Haller¹,

Janssen²,

Siddorn³

et al. 2015

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Most wet chemical sensors have been deployed on platforms for the collection of high-frequency timeseries of surface coastal waters at a fixed station (NAS3X, Mills et al, 2005;CHEMINI, Répécaud et al, 2009;WIZ, Vuillemin et al, 2009b;LoC, Beaton et al, 2017;Clinton-Bailey et al, 2017;Grand et al, 2017). FerryBox-systems (Petersen et al, 2011) also provide a compatible observing infrastructure for wet chemical analyzers to collect surface nutrient data on board Ships of Opportunity. Wet chemical analyzers have also been deployed as components of benthic incubation chambers (NH4-Digiscan, Plant et al, 2009), and seabed landers, in order to detect nutrient concentration at the water/sediment interface which can vary on hourly to seasonal time scales (Gevaert et al, 2011).…”

Section: Wet Chemical Analyzersmentioning

confidence: 99%

Toward a Harmonization for Using in situ Nutrient Sensors in the Marine Environment

et al. 2020

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Performance of absorption coefficient measurements for the in situ determination of chlorophyll-a and total suspended matter

Wollschläger

Röttgers

Petersen

et al. 2014

Journal of Experimental Marine Biology and Ecology

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The concentration of chlorophyll-a ([chl-a]) and total suspended matter ([TSM]) are important parameters in biological oceanography. [Chl-a] is a commonly used proxy for estimating phytoplankton biomass while [TSM] also includes detrital material and mineral particles and thus influences light attenuation and photosynthetic activity in the water column. For characterizing the distribution (patchiness) of both parameters adequately over a longer time period, fast and effective measurement methods are required that can also be applied in situ or continuously. Thus, alternatively to direct determination of [chl-a] and [TSM], optical proxy values are often measured. The PSICAM is an integrating cavity approach for measuring absorption coefficients of water constituents with high precision which can be used also continuously (flow-through-PSICAM). In this study, the performance of these absorption measurements for [chl-a] and [TSM] determination was evaluated and compared with the performance of traditional approaches using chl-a fluorescence and turbidity measurements. Data were collected in the German Bight (North Sea) in 2010 and 2011. For [chl-a], fluorescence measurements are compared with pigment absorption coefficient values at a 2 wavelength of 676 nm (a Φ 676 nm), while the [TSM]-proxies were turbidity and particle absorption at 700 nm (a p 700 nm). As reference data, HPLC-determined [chl-a] and gravimetrically determined [TSM] were used. Our results showed linear relationships between [chl-a] and fluorescence or a Φ 676 nm , respectively. Coefficients of determination (R²) were in a range of 0.71 to 0.88, with the higher values related to the absorption measurements. Furthermore, it was demonstrated that fluorescence underestimates [chl-a] depending on ambient photosynthetically active radiation (PAR). Linear relationships were also observed between [TSM] and its optical proxies with R² values between 0.93 and 0.98. Turbidity measurements appeared to be influenced to a certain extent by the physical properties of the suspended material, resulting in a slightly higher variability than the a p 700 nm measurements. Absorption measurements turned out to be promising optical proxies for determining [TSM] and [chl-a] due to their lower variability compared with the other proxies. This improved accuracy could be already partially achieved also for continuous measurements. Moreover, a combination of the different optical methods has the potential to provide additional information besides concentration, such as the source of TSM in the water or physiological condition of the phytoplankton.

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FerryBox - application of continuous water quality observations along transects in the North Sea

Cited by 8 publications

References 15 publications

Evaluation of numerical models by FerryBox and Fixed Platform in-situ data in the southern North Sea

Evaluation of numerical models by FerryBox and Fixed Platform in-situ data in the southern North Sea

Toward a Harmonization for Using in situ Nutrient Sensors in the Marine Environment

Performance of absorption coefficient measurements for the in situ determination of chlorophyll-a and total suspended matter

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