German Bight residual current variability on a daily basis: principal components of multi-decadal barotropic simulations

Callies, Ulrich; Gaslikova, Lidia; Kapitza, Hartmut; Scharfe, Mirco

doi:10.1007/s00367-016-0466-2

Cited by 30 publications

(31 citation statements)

References 43 publications

(43 reference statements)

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“…The raw data of observed drifter locations are freely available from Carrasco and Horstmann (2017). Results of the PCA of residual currents are freely accessible at Callies (2016).…”

Section: Discussionmentioning

confidence: 99%

“…The raw data are freely accessible at Carrasco and Horstmann (2017). Table 1 specifies each drifter's launch position and launch time as well as its last position, the total length of its trajectory and the simple linear distance between its initial and final locations.…”

Section: Drifter Observationsmentioning

confidence: 99%

“…Slightly different from the above approach, Callies et al (2017) defined residual currents as 25 h means (close to one lunar day -24.8 h). A principal component analysis (PCA) was performed on these residual currents, focusing on the inner German Bight (east of 6.0…”

Section: Characterization Of Residual Currents On a Daily Basismentioning

confidence: 99%

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Surface drifters in the German Bight: model validation considering windage and Stokes drift

et al. 2017

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Abstract. Six surface drifters (drogued at about 1 m depth) deployed in the inner German Bight (North Sea) were tracked for between 9 and 54 days. Corresponding simulations were conducted offline based on surface currents from two independent models (BSHcmod and TRIM). Inclusion of a direct wind drag (0.6 % of 10 m wind) was needed for successful simulations based on BSHcmod currents archived for a 5 m depth surface layer. Adding 50 % of surface Stokes drift simulated with a third-generation wave model (WAM) was tested as an alternative approach. Results resembled each other during most of the time. Successful simulations based on TRIM surface currents (1 m depth) suggest that both approaches were mainly needed to compensate insufficient vertical resolution of hydrodynamic currents.The study suggests that the main sources of simulation errors were inaccurate Eulerian currents and lacking representation of sub-grid-scale processes. Substantial model errors often occurred under low wind conditions. A lower limit of predictability (about 3-5 km day −1 ) was estimated from two drifters that were initially spaced 20 km apart but converged quickly and diverged again after having stayed at a distance of 2 km or less for about 10 days. In most cases, errors in simulated 25 h drifter displacements were of similar order of magnitude.

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“…The raw data of observed drifter locations are freely available from Carrasco and Horstmann (2017). Results of the PCA of residual currents are freely accessible at Callies (2016).…”

Section: Discussionmentioning

confidence: 99%

Section: Drifter Observationsmentioning

confidence: 99%

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Surface drifters in the German Bight: model validation considering windage and Stokes drift

et al. 2017

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“…However, accumulation of possibly intermittent simulation errors makes it difficult to localize the origin of major deviations in either space or time. Therefore, a series of short term (25 h) (Callies et al, 2017). Vector densities in the plots do not represent spatial resolution of the underlying model (1.6 km).…”

Section: Analysis Of 25 H Drifter Displacements 25mentioning

confidence: 99%

Surface drifters in the German Bight: Model validation considering windage and Stokes drift

Callies¹,

Groll²,

Horstmann³

et al. 2017

Preprint

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Six surface drifters (drogued at about 1 m depth) deployed in the inner German Bight (North Sea) were tracked for between 14 and 54 days. Corresponding simulations were conducted offline based on surface currents from two independent models (BSHcmod and TRIM). Inclusion of a direct wind drag (0.6 % of 10 m wind) was needed for successful simulations based on BSHcmod currents archived for a 5 m depth surface layer. Adding 50 % of surface Stokes drift simulated with the third generation wave model WAM was tested as an alternative approach. Results resembled each other during most of the 5 time. Successful simulations based on TRIM surface currents (1 m depth) suggest that both approaches were mainly needed to compensate insufficient vertical resolution of hydrodynamic currents.The study suggests that main sources of simulation errors were inaccurate Eulerian currents and lacking representation of sub-grid scale processes. Substantial model errors often occurred under low wind conditions. A lower limit of predictability (about 3-5 km per day) was estimated from two drifters that were initially spaced 20 km apart but converged quickly and 10 diverged again after having stayed at a distance of 2 km and less for about 10 days. In most cases, errors in simulated 25 h drifter displacements were of similar order of magnitude.

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“…Longer-term studies, however, may be necessary in order to evaluate system variations at larger timescales. Callies et al (2016) studied the variability of residual currents in the German Bight, based on multi-decadal model simulations. Principal component analyses (PCA) were performed to find representative states.…”

Section: The Role Of Modelsmentioning

confidence: 99%

Monitoring concepts for an evaluation of marine environmental states in the German Bight

Winter

2017

Geo-Mar Lett

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German Bight residual current variability on a daily basis: principal components of multi-decadal barotropic simulations

Abstract: Time variability of Eulerian residual currents in

Cited by 30 publications

References 43 publications

Surface drifters in the German Bight: model validation considering windage and Stokes drift

Surface drifters in the German Bight: model validation considering windage and Stokes drift

Surface drifters in the German Bight: Model validation considering windage and Stokes drift

Monitoring concepts for an evaluation of marine environmental states in the German Bight

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