Coastal Ocean Forecasting: science foundation and user benefits

Kourafalou, Vassiliki H.; Mey, P. De; Staneva, Joanna; Ayoub, Nadia; Barth, Alexander; Chao, Yi; Cirano, Mauro; Fiechter, Jérôme; Herzfeld, Mike; Kurapov, A. L.; Moore, Andrew M.; Oddo, Paolo; Pullen, Julie; Westhuysen, André van der; Weisberg, Robert H.

doi:10.1080/1755876x.2015.1022348

Cited by 41 publications

(26 citation statements)

References 147 publications

(140 reference statements)

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“…Numerous integrated coastal observing and modeling systems provide not only services, but also research advancement; several of them are described by Kourafalou et al (2015a). The advances in coastal ocean forecasting were recently reviewed by Kourafalou et al (2015b). A review of ocean monitoring and forecasting activities in both the open and coastal oceans was presented by Siddorn et al (2016).…”

Section: Introductionmentioning

confidence: 99%

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

Stanev¹,

Schulz‐Stellenfleth²,

Staneva³

et al. 2016

Ocean Sci.

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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.

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Section: Introductionmentioning

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

show abstract

“…The GHRSST group started as a pilot project within GODAE and has had great success in coordinating the processing of satellite SST data (Donlon et al 2009). The COSS-TT (Kourafolou et al 2015a;Kourafolou et al 2015b) is similarly forming a vibrant new community of teams developing prediction systems for shallow water. Coupled atmosphere-icewave-ocean prediction systems are now being developed in several countries.…”

Section: International Coordinationmentioning

confidence: 99%

An introduction to GODAE OceanView

Bell

Schiller

Traon

et al. 2015

Journal of Operational Oceanography

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“…The strategic goal is to achieve a seamless ocean forecasting framework, from the global to the coastal/near-shore scale. After three successful international coordination workshops, the current state of COSS forecasting has been reviewed, and a picture of future scientific challenges is emerging (Kourafalou et al 2015).…”

Section: Coastal Ocean and Shelf Seas Forecastingmentioning

confidence: 99%

“…These products allow users to explore interannual variability in phenomena such as El Niño/Southern Oscillation (Balmaseda et al 2015) and weather extremes like hurricanes/tropical cyclones (Brassington et al 2015). Other applications support management of the shelf seas and coastal environment (physical, biogeochemical and potentially higher trophic levels of the ecosystem) and allow analysis of the coupling between the open ocean and coastal areas (Kourafalou et al 2015).…”

Section: Synthesis Of Achievementsmentioning

confidence: 99%