Improved water-level forecasting for the Northwest European Shelf and North Sea through direct modelling of tide, surge and non-linear interaction

Zijl, Firmijn; Verlaan, Martin; Gerritsen, H.

doi:10.1007/s10236-013-0624-2

Cited by 94 publications

(107 citation statements)

References 25 publications

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“…Slobbe et al, 2013b]. Even not in case we use the state-of-the-art models available for our region of interest; the latest model only represents the tidal water levels with sub-decimeter accuracy in the root-mean-square sense [Zijl et al, 2013]. Indeed, we agree with Turner et al [2010] that "the desired solution is to produce an LAT surface from an optimally merged combination of all data sources".…”

Section: Introductionsupporting

confidence: 67%

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A Kalman Filter Approach to Realize the Lowest Astronomical Tide Surface

et al. 2017

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Section: Introductionsupporting

confidence: 67%

“…In this study, we used a variant of the Dutch Continental Shelf Model version 6 (DCSMv6) [Zijl et al, 2013] which accounts for the depth-averaged water density variations [Slobbe et al, 2013a]. This section starts with a brief introduction to the model.…”

Section: The Hydrodynamic Model and Forcing Datamentioning

confidence: 99%

A Kalman Filter Approach to Realize the Lowest Astronomical Tide Surface

et al. 2017

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“…This relationship was already observed on a much shorter timescale of one tidal period . Indeed, the mechanistic relationship between wind and surges or depressions of sea level comes into play on the timescale of hours to days; models are well able to capture this (e.g., Zijl et al, 2013). On an annual timescale, the aggregate wind energy and mean sea level still show such a connection; the aggregate of the mechanistic effects that actually occur on a much shorter timescale.…”

Section: Wind Sectors and Annual Mean Sea Levelmentioning

confidence: 99%

“…While on shorter timescales (hours, days) there is a direct mechanistic relationship between wind forcing or atmospheric pressure and sea level (as demonstrated by the accuracy of hydrodynamical models, e.g., Zijl et al, 2013), it is not a priori clear that this signal is carried over to their annual mean values. The validity of this approach will become evident from the results.…”

Section: Introductionmentioning

confidence: 99%

Interannual variability of mean sea level and its sensitivity to wind climate in an inter-tidal basin

Gerkema

Duran‐Matute

2017

Earth Syst. Dynam.

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Abstract.The relationship between the annual wind records from a weather station and annual mean sea level in an inter-tidal basin, the Dutch Wadden Sea, is examined. Recent, homogeneous wind records are used, covering the past 2 decades. It is demonstrated that even such a relatively short record is sufficient for finding a convincing relationship. The interannual variability of mean sea level is largely explained by the west-east component of the net wind energy, with some further improvement if one also includes the south-north component and the annual mean atmospheric pressure. Using measured data from a weather station is found to give a slight improvement over reanalysis data, but for both the correlation between annual mean sea level and wind energy in the westeast direction is high. For different tide gauge stations in the Dutch Wadden Sea and along the coast, we find the same qualitative characteristics, but even within this small region, different locations show a different sensitivity of annual mean sea level to wind direction. Correcting observed values of annual mean level for meteorological factors reduces the margin of error (expressed as 95 % confidence interval) by more than a factor of 4 in the trends of the 20-year sea level record. Supplementary data from a numerical hydrodynamical model are used to illustrate the regional variability in annual mean sea level and its interannual variability at a high spatial resolution. This study implies that climatic changes in the strength of winds from a specific direction may affect local annual mean sea level quite significantly.

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“…In reality, radar altimetry provides the mean sea surface slopes, which may differ from the quasigeoid slopes. Hence, a slope correction is needed, which poses constraints on the accuracy of water levels from a hydrodynamic model (e.g., Holt et al, 2005;Zijl et al, 2013). Finally, there will always be a stroke along the coast of 510 km width void of radar altimeter data of sufficient accuracy (e.g., Andersen and Knudsen, 2000;Deng et al, 2002).…”

Section: -Mm Quasi-geoid In the Netherlandsmentioning

confidence: 99%