Dataset from Reese et al.: "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" - PART 2

Model data from the numerical setup of the tidal Elbe presented in Reese et al. (2023): "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" [1] PART 2 Each file contains data for a full month, as given through the file naming convention: description.YYYYMMDD.nc4 The numerical model uses terrain-following sigma coordniates, with sigma level 0 being the bottommost layer. Certain variables are also given in salinity class bins of dimension salt_s instead of vertical coordinates. Explanation of each data type: Mean_all: Spatially resolved, temporally varying salt distribution in the Elbe estuary: Fig. 6, 10 1-hourly averages [1] L. Reese, U. Graewe, K. Klingbeil, X. Li, M. Lorenz, H. Burchard, 2023: Local mixing determines spatial structure of diahaline exchange flow in a mesotidal estuary – a study of extreme runoff conditions. J. Phys. Oceanogr., in press.