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
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. https://doi.org/10.4121/14514213.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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 (https://github.com/christavanijzendoorn/JAT). Example 5 that is included in the JAT provides a python script that shows how to load and work with the netcdf file.Documentation: https://jarkus-analysis-toolbox.readthedocs.io/.
The Jarkus Analysis Toolbox and all scripts that were used to extract the characteristic parameters and create the distribution plots are available through Github (https://github.com/christavanijzendoorn/JAT). Example 5 that is included in the JAT provides a python script that shows how to load and work with the netcdf file.Documentation: https://jarkus-analysis-toolbox.readthedocs.io/.
history
- 2021-05-04 first online, published, posted
publisher
4TU.ResearchData
format
The characteristic parameters are provided in a netcdf file.
The distribution plot of each of the characteristic parameters is provided as a png file.
references
derived from
funding
- This work is part of the research programme DuneForce with project number 17064 which is (partly) financed by the Dutch Research Council (NWO).
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering
DATA
files (2)
- 14,803,474 bytesMD5:
8460069753faae26d1fbe8f902ddeeb6
Distribution_plots.zip - 26,129,322 bytesMD5:
aae2104f1a140ba097e2239b8f099f69
extracted_parameters.nc -
download all files (zip)
40,932,796 bytes unzipped