Coastal Ocean Forecasting: system integration and evaluation

Kourafalou, Vassiliki H.; Mey, P. De; Hénaff, Matthieu Le; Charria, Guillaume; Edwards, Christopher A.; He, Ruoying; Herzfeld, Mike; Pascual, Ananda; Stanev, Emil V.; Tintoré, Joaquı́n; Usui, Norihisa; Westhuysen, A. J. Van der; Wilkin, John; Zhu, Xiaodong

doi:10.1080/1755876x.2015.1022336

Cited by 43 publications

(31 citation statements)

References 76 publications

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“…Therefore, recent practices in this field are based on both observations and numerical modeling. 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).…”

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.

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show abstract

“…Scales from the open ocean to the reef (from kilometers to meters) are seamlessly addressed through the eREEFS system (Schiller et al 2014;Kourafalou et al 2015). Within the GBR, the low frequency sea level response is primarily generated by wind stress within the lagoon (Burrage et al 1991;Brinkman et al 2002).…”

Section: Examples Of Downscaling To Resolve Reefs and Estuariesmentioning

confidence: 99%

“…Such activities are supported by international coordination under the Coastal Ocean and Shelf Seas Task Team (COSS-TT) within GODAE OceanView http://godaeoceanview.org. Examples of integrated systems and supporting approaches are given in a companion paper (Kourafalou et al 2015). Here, the focus is on specific science issues and applications that drive the scientific developments which in turn enable COFS.…”

Section: Introductionmentioning

confidence: 99%

Coastal Ocean Forecasting: science foundation and user benefits

Kourafalou

Mey

Staneva³

et al. 2015

Journal of Operational Oceanography

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“…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%