Characteristic parameters extracted from the Jarkus dataset using the Jarkus Analysis Toolbox

doi: 10.4121/14514213.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14514213
Datacite citation style:
Christa van IJzendoorn (2021): Characteristic parameters extracted from the Jarkus dataset using the Jarkus Analysis Toolbox. Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
This dataset presents the output of the application of the Jarkus Analysis Toolbox (JAT) to the Jarkus dataset. The Jarkus dataset is one of the most elaborate coastal datasets in the world and consists of coastal profiles of the entire Dutch coast, spaced about 250-500 m apart, which have been measured yearly since 1965. Different available definitions for extracting characteristic parameters from coastal profiles were collected and implemented in the JAT. The characteristic parameters allow stakeholders (e.g. scientists, engineers and coastal managers) to study the spatial and temporal variations in parameters like dune height, dune volume, dune foot, beach width and closure depth. This dataset includes a netcdf file (on the opendap server, see data link) that contains all characteristic parameters through space and time, and a distribution plot that shows the overview of each characteristic parameters.

The Jarkus Analysis Toolbox and all scripts that were used to extract the characteristic parameters and create the distribution plots are available through Github ( Example 5 that is included in the JAT provides a python script that shows how to load and work with the netcdf file.

  • 2021-05-04 first online, published, posted
The characteristic parameters are provided in a netcdf file. The distribution plot of each of the characteristic parameters is provided as a png file.
  • This work is part of the research programme DuneForce with project number 17064 which is (partly) financed by the Dutch Research Council (NWO).
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering


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