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    In:  Supplement to: Becker, Marius; Maushake, Christian; Winter, Christian (2018): Observations of mud-induced periodic stratification in a hyperturbid estuary. Geophysical Research Letters, 45(11), 5461-5469, https://doi.org/10.1029/2018GL077966
    Publication Date: 2023-04-20
    Description: Stationary ship-based data were collected during a period of 19 h, beginning 2014-19-11 16:20:00 CET (UTC +1), in the tidal river part of the Ems estuary, Germany. The ship was moored next to the navigation channel at Jemgum (N53.271114° E07.397424°). Current velocity data was obtained by an ADCP (acoustic Doppler current profiler, RDI 600 kHz, ping rate 0.5 Hz, cell size 0.2 m, 8 pings per ensemble, mode 1), deployed on a floating platform next to the ship. Parts of each current velocity profile were located in a near-bed layer of very high suspended sediment concentration (SSC). These parts were, at times, biased by spikes. Respective parts were marked invalid. The time series of current velocity profiles was first averaged in time, averaging data in corresponding ADCP depth cells, collected during periods of 10 s. The resulting time series of profiles were then smoothed by an 8 min moving average filter. Averages were performed on individual current velocity components (east, north, up) in earth coordinates. Magnitude was subsequently determined from the smoothed components and flagged according to the tidal phase, flood negative. Vertical profiles of salinity and SSC were collected every 30 min by CTD (48M, Sea & Sun) and OBS (optical backscatter sensor, ViSolid 700, WTW, matrix type 2), both deployed on a crane. Optical backscatter was calibrated with respect to SSC by SSC measurements obtained from filtered water samples. Salinity and SSC profiles contain down-cast data only. An average time was assigned to each profile. Current velocity, SSC and salinity data data is referenced vertically to height above the river bed, and interpolated vertically in steps of 0.1 m.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 3 datasets
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