Rossby radii and phase speeds in the Baltic Sea

Fennel, Wolfgang; Seifert, Torsten; Kayser, Bernd

doi:10.1016/0278-4343(91)90032-2

Cited by 115 publications

(47 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This resolution is exceptionally high and resolves almost the full range of first baroclinic Rossby radii in the Baltic Sea (e.g. Fennel et al, 1991).…”

Section: Grid and Bathymetrymentioning

confidence: 95%

See 1 more Smart Citation

MOMBA 1.1 – a high-resolution Baltic Sea configuration of GFDL's Modular Ocean Model

2014

View full text Add to dashboard Cite

Abstract. We present a new coupled ocean-circulation-ice model configuration of the Baltic Sea. The model features, contrary to most existing configurations, a high horizontal resolution of ≈ 1 nautical mile (≈ 1.85 km), which is eddyresolving over much of the domain. The vertical discretisation comprises a total of 47 vertical levels. Results from a 1987 to 1999 hindcast simulation show that the model's fidelity is competitive. As suggested by a comparison with sea surface temperatures observed from space, this applies especially to near-surface processes. Hence, the configuration is well suited to serve as a nucleus of a fully fledged coupled ocean-circulation-biogeochemical model (which is yet to be developed). A caveat is that the model fails to reproduce major inflow events. We trace this back to spurious vertical circulation patterns at the sills which may well be endemic to high-resolution models based on geopotential coordinates. Further, we present indications that -so far neglected -eddy/wind effects exert significant control on windinduced up-and downwelling.

show abstract

“…This resolution is exceptionally high and resolves almost the full range of first baroclinic Rossby radii in the Baltic Sea (e.g. Fennel et al, 1991).…”

Section: Grid and Bathymetrymentioning

confidence: 95%

“…With a competitive horizontal resolution of 1 nautical miles (1 nmi = 1.85 km), it is eddypermitting in most of the Baltic (Fennel et al, 1991). We envision to develop, based on this nucleus, a fully fledged coupled ice-ocean-circulation-biogeochemical model.…”

Section: Introductionmentioning

confidence: 99%

MOMBA 1.1 – a high-resolution Baltic Sea configuration of GFDL's Modular Ocean Model

2014

View full text Add to dashboard Cite

show abstract

“…Regional and coastal numerical models require a resolution capacity that is compliant with the dominant spatial scales. It is not only the Rossby radius of deformation, which is between 3 and 10 km in the open Baltic Sea (Fennel et al, 1991) and less than 2 km in the North Sea (Badin et al, 2009), that needs to be resolved, but also the estuarine scales, which are much smaller. The areas of drying and flooding present a challenge for the vertical resolution, particularly when geopotential coordinates are used.…”

Section: Regional and Coastal Ocean Modeling And Forecastingmentioning

confidence: 99%

Ocean forecasting for the German Bight: from regional to coastal scales

Stanev¹,

Schulz‐Stellenfleth²,

Staneva³

et al. 2016

Ocean Sci.

View full text Add to dashboard Cite

Abstract. This paper describes recent developments based on advances in coastal ocean forecasting in the fields of numerical modeling, data assimilation, and observational array design, exemplified by the Coastal Observing System for the North and Arctic Seas (COSYNA). The region of interest is the North and Baltic seas, and most of the coastal examples are for the German Bight. Several pre-operational applications are presented to demonstrate the outcome of using the best available science in coastal ocean predictions. The applications address the nonlinear behavior of the coastal ocean, which for the studied region is manifested by the tidal distortion and generation of shallow-water tides. Led by the motivation to maximize the benefits of the observations, this study focuses on the integration of observations and modeling using advanced statistical methods. Coastal and regional ocean forecasting systems do not operate in isolation but are linked, either weakly by using forcing data or interactively using two-way nesting or unstructured-grid models. Therefore, the problems of downscaling and upscaling are addressed, along with a discussion of the potential influence of the information from coastal observatories or coastal forecasting systems on the regional models. One example of coupling coarse-resolution regional models with a fineresolution model interface in the area of straits connecting the North and Baltic seas using a two-way nesting method is presented. Illustrations from the assimilation of remote sensing, in situ and high-frequency (HF) radar data, the prediction of wind waves and storm surges, and possible applications to search and rescue operations are also presented. Concepts for seamless approaches to link coastal and regional forecasting systems are exemplified by the application of an unstructured-grid model for the Ems Estuary.

show abstract

“…The correlation length scale, to some extent, depends on the dynamics of the basin, more precisely, on the Rossby radius of deformation, which varies from ∼200 km in the barotropic mode to ∼10 km or even less in the baroclinic mode (Alenius et al, 2003;Fennel et al, 1991). In every particular location of the North and Baltic Seas, the SST data error correlation length scale might be determined by the energy superposition of the baroclinic and barotropic flows.…”

Section: Observational Errorsmentioning

confidence: 99%

Assimilating NOAA SST data into the BSH operational circulation model for the North and Baltic Seas: Inference about the data

Losa

Danilov

Schröter

et al. 2012

Journal of Marine Systems

View full text Add to dashboard Cite

The operational ocean prediction model for the North and Baltic Seas of the German Maritime and Hydrographic Agency (BSH) is augmented with a multivariate data assimilation (DA) system. We report on the implementation and performance of the scheme which is based on ensemble forecasting. 2011. The quality of the predicted fields that were not assimilated (velocities, sea level and salinity) is preserved as is confirmed by independent in situ data.The results have required adjustment of the conditional data error statistics.The experiments conducted with different timing and frequency of data assimilation and variable forecasting periods show that the DA system corrects systematic model uncertainties and, due to memory to the corrections, improves prediction over periods of up to 5 days. The results also explicitly illustrate a lower quality of the AVHRR daytime product and reveal low informative influence of the data on the forecasting system when daytime SSTs are assimilated additionally to midnight observations.

show abstract

Rossby radii and phase speeds in the Baltic Sea

Cited by 115 publications

References 3 publications

MOMBA 1.1 – a high-resolution Baltic Sea configuration of GFDL's Modular Ocean Model

MOMBA 1.1 – a high-resolution Baltic Sea configuration of GFDL's Modular Ocean Model

Ocean forecasting for the German Bight: from regional to coastal scales

Assimilating NOAA SST data into the BSH operational circulation model for the North and Baltic Seas: Inference about the data

Contact Info

Product

Resources

About