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
Authors/Creators
-
1.
Leibniz Institute for Baltic Sea Research Warnemünde
Description
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.
Files
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(47.2 GB)
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md5:f3f96b2682bd9dcbe8315653a2740aa0
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Additional details
Related works
- Is supplement to
- Publication: 10.1175/JPO-D-23-0052.1 (DOI)