Investigating the effects of a summer storm on the North Sea stratification using a regional coupled ocean-atmosphere model

Gronholz, Alexandra; Gräwe, Ulf; Paul, André; Schulz, Michael

doi:10.1007/s10236-016-1023-2

Cited by 14 publications

(10 citation statements)

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“…There is also a critical dependence on the ongoing collection and analysis of relevant air-sea flux measurements in different regions for improving process understanding and supporting model evaluation (e.g. Hackerott et al, 2018;Vinayachandran et al, 2018).…”

Section: Recent Progress In Regional Coupled Model Research Developmmentioning

confidence: 99%

The UKC3 regional coupled environmental prediction system

et al. 2019

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Abstract. This paper describes an updated configuration of the regional coupled research system, termed UKC3, developed and evaluated under the UK Environmental Prediction collaboration. This represents a further step towards a vision of simulating the numerous interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land using more integrated regional coupled prediction systems at kilometre-scale resolution. The UKC3 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean surface waves (WAVEWATCH III®), coupled together using OASIS3-MCT libraries. The major update introduced since the UKC2 configuration is an explicit representation of wave–ocean feedbacks through introduction of wave-to-ocean coupling. Ocean model results demonstrate that wave coupling, in particular representing the wave-modified surface drag, has a small but positive improvement on the agreement between simulated sea surface temperatures and in situ observations, relative to simulations without wave feedbacks. Other incremental developments to the coupled modelling capability introduced since the UKC2 configuration are also detailed. Coupled regional prediction systems are of interest for applications across a range of timescales, from hours to decades ahead. The first results from four simulation experiments, each of the order of 1 month in duration, are analysed and discussed in the context of characterizing the potential benefits of coupled prediction on forecast skill. Results across atmosphere, ocean and wave components are shown to be stable over time periods of weeks. The coupled approach shows notable improvements in surface temperature, wave state (in near-coastal regions) and wind speed over the sea, whereas the prediction quality of other quantities shows no significant improvement or degradation relative to the equivalent uncoupled control simulations.

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Section: Recent Progress In Regional Coupled Model Research Developmmentioning

confidence: 99%

The UKC3 regional coupled environmental prediction system

et al. 2019

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“…Both significant wave height and wind speeds were reduced by order 8% and 3% respectively over a 3-month mean due to the extraction of energy and momentum from the atmosphere by waves. Gronholz et al (2017) studied the impact of oceanatmosphere interactions on ocean stratification over a similar model domain. Results demonstrated both the sensitivity of SST to the resolution of atmospheric forcing and that enhanced vertical mixing in the fully coupled ocean simulation during a storm event could have potential impacts for prediction of phytoplankton bloom development.…”

Section: Recent Progress In Regional Coupled Model Research Developmmentioning

confidence: 99%

The UKC3 regional coupled environmental prediction system

Lewis¹,

Sanchez²,

Fallmann³

et al. 2018

Preprint

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Abstract. This paper describes an updated configuration of the regional coupled research system, termed UKC3, developed and evaluated under the UK Environmental Prediction collaboration. This represents a further step towards a vision of simulating the numerous interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land using more integrated regional coupled prediction systems at km-scale resolution. The UKC3 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean surface waves (WAVEWATCH III), coupled together using OASIS3-MCT libraries. The major update introduced since the UKC2 configuration is an explicit representation of wave processes in the ocean and their feedbacks through wave-to-ocean coupling. Ocean model results demonstrate that wave coupling, in particular representing the wave modified surface drag, has a small but positive improvement on the agreement between simulated sea surface temperatures and in situ observations, relative to simulations without wave feedbacks. Other incremental developments to the coupled modelling capability introduced since the UKC2 configuration are also detailed. Coupled regional prediction systems are of interest for applications across a range of timescales, from hours to decades ahead. The first results of simulations run over extended periods, covering four experiments each of order one month in duration are therefore analysed and discussed in the context of further characterising the potential benefits of coupled prediction on forecast skill, and on the stability of such systems over longer time periods. Results across atmosphere, ocean and wave components are shown to be of at least comparable skill to the equivalent uncoupled control simulations, with notable improvements demonstrated in surface temperature and wave state predictions in some near-coastal regions, and in wind speeds over the sea.

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“…Both spatial and in time resolution of atmospheric data are critical for simulations of relatively small ocean areas Gronholz et al (2017). The data Within the European Union's Seventh Framework Program (EU FP7) project Uncertainties in Ensembles of Regional Re-Analyses (UERRA) Ridal et al (2017) have been used as the surface atmospheric forcing.…”

Section: Surface Boundary Atmospheric Forcingmentioning

confidence: 99%

3D dynamics of the Southeastern North Sea, effects of variable resolution

Kuznetsov

Androsov

Fofonova

et al. 2019

Preprint

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Abstract. A newly developed coastal model FESOM-C based on three-dimensional unstructured meshes and finite volume is applied to simulate dynamics of the southeastern part of the North Sea. Variable horizontal resolution enables using meshes that are coarse in the open sea but refined in the shallow areas (which include the Wadden Sea and the estuaries) to resolve important small-scale process (such as wetting and drying, sub-mesoscales eddies and dynamics of steep coastal fronts). Model results for the simulation for the period between January 2010 and December 2014 agree reasonably well with data from numerous autonomous observation stations with high temporal and spatial resolution, located in the region, data from ferry boxes and glider expeditions. The analysis of numerical solution convergence on meshes with different horizontal resolutions allows identifying areas where high mesh resolution (wetting and drying zones, shallow areas) and low mesh resolution (open boundary, open sea, and deep regions) are optimal for numerical simulations.

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Investigating the effects of a summer storm on the North Sea stratification using a regional coupled ocean-atmosphere model

Cited by 14 publications

References 50 publications

The UKC3 regional coupled environmental prediction system

The UKC3 regional coupled environmental prediction system

The UKC3 regional coupled environmental prediction system

3D dynamics of the Southeastern North Sea, effects of variable resolution

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