Skip to content

Scripts to reproduce the paper of Pilz et al. (2017) describing the lumpR package

License

Notifications You must be signed in to change notification settings

tpilz/lumpr_paper

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

lumpR Paper

This repository contains a collection of Latex files to reproduce the paper of Pilz et al. (2017) (directory Script/), that was published in GMD, including R scripts to reproduce (most of) the graphics therein (analysis/). The Paper describes the R package lumpR for the hillslope-based discretisation of landscapes to be used in hydrological models.

Reference (and link to GMD):

Pilz, T., Francke, T., and Bronstert, A.: lumpR 2.0.0: an R package facilitating landscape discretisation for hillslope-based hydrological models, Geosci. Model Dev., 10, 3001-3023, doi: 10.5194/gmd-10-3001-2017, 2017.

lumpR

The R package lumpR is available at https://github.com/tpilz/lumpR

See the README and Wiki therein as well as the documentation in R for more information.

Notes on analyses scripts

For the paper, an ensemble analysis has been performed with 12,250 parameter realisations. This took several days on a high performance cluster employing 96 CPUs. The template R script used for these experiments has been included (analysis/model_runs/apply_lumpR_template.R) but it is not possible to reproduce the experiments on the fly. In addtion, due to unclear legal status, not all of the used input data can be made publicly available.

Moreover, several hundred GB of data has been produced. The raw results are, thus, not included. The results relevant for the analyses, however, have been collected and compressed and are available: analysis/collect_results/*.Rdata (to be opened within R via load()).

Scripts to reproduce the reservoir plots can be found in analysis/comparison_results/.

Files for the calculation of streamflow indices and for the sensitivity analysis are in analysis/sensitivity/.

Releases

No releases published

Packages

No packages published