Jan-Willem Mol
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The resulting dataset contains point measurements at five locations in the first campaign and eight locations in the second campaign, including (1) near-bed flow velocities and velocity profiles, (2) wave characteristics, (3) suspended sediment concentrations and transport rates, and (4) local bed level dynamics, as well as data on the sediment composition of (intertidal) seabed samples. Measurements were collected simultaneously for a period of six to eight weeks in both campaigns, although some instruments collected data for only four weeks in the Winter 2023–24 campaign.
This article documents the field observations and data processing, and highlights potential applications. This dataset may contribute to a better understanding of sediment dynamics in the Dutch Wadden Sea, but also advance our understanding of channel-shoal sediment exchange mechanisms in general. It provides the field data for investigating fundamental processes controlling sediment dynamics in tidal systems, such as tide- and wind-driven flows and transport, shallow water wave dynamics, wave and current-induced resuspension, and sediment bed stability.
The data are publicly available in three versions (raw, filtered and tailored datasets) at 4TU Centre for Research Data at https://doi.org/10.4121/bbb85feb-15f9-476f-9598-b6509392117d (van Weerdenburg et al., 2026). ...
The resulting dataset contains point measurements at five locations in the first campaign and eight locations in the second campaign, including (1) near-bed flow velocities and velocity profiles, (2) wave characteristics, (3) suspended sediment concentrations and transport rates, and (4) local bed level dynamics, as well as data on the sediment composition of (intertidal) seabed samples. Measurements were collected simultaneously for a period of six to eight weeks in both campaigns, although some instruments collected data for only four weeks in the Winter 2023–24 campaign.
This article documents the field observations and data processing, and highlights potential applications. This dataset may contribute to a better understanding of sediment dynamics in the Dutch Wadden Sea, but also advance our understanding of channel-shoal sediment exchange mechanisms in general. It provides the field data for investigating fundamental processes controlling sediment dynamics in tidal systems, such as tide- and wind-driven flows and transport, shallow water wave dynamics, wave and current-induced resuspension, and sediment bed stability.
The data are publicly available in three versions (raw, filtered and tailored datasets) at 4TU Centre for Research Data at https://doi.org/10.4121/bbb85feb-15f9-476f-9598-b6509392117d (van Weerdenburg et al., 2026).
High-resolution wave measurements at intermediate water depth are required to improve coastal impact modeling. Specifically, such data sets are desired to calibrate and validate models, and broaden the insight on the boundary conditions that force models. Here, we present a wave data set collected in the North Sea at three stations in intermediate water depth (6–14 m) during the 2021/2022 storm season as part of the RealDune/REFLEX experiments. Continuous measurements of synchronized surface elevation, velocity and pressure were recorded at 2–4 Hz by Acoustic Doppler Profilers and an Acoustic Doppler Velocimeter for a 5-month duration. Time series were quality-controlled, directional-frequency energy spectra were calculated and common bulk parameters were derived. Measured wave conditions vary from calm to energetic with 0.1–5.0 m sea-swell wave height, 5–16 s mean wave period and W-NNW direction. Nine storms, i.e., wave height beyond 2.5 m for at least six hours, were recorded including the triple storms Dudley, Eunice and Franklin. This unique data set can be used to investigate wave transformation, wave nonlinearity and wave directionality for higher and lower frequencies (e.g., sea-swell and infragravity waves) to compare with theoretical and empirical descriptions. Furthermore, the data can serve to force, calibrate and validate models during storm conditions. Dataset: https://doi.org/10.4121/233f11ff-7804-4777-8b32-92c4606e56d8 Dataset License: CC-BY 4.0.