2026-05-02T15:55:26Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:68972020-08-25T09:52:03ZDOIDBDOIDB.PIKfalse4DOIDB.PIK
10.5880/PIK.2019.016
Pilz, Tobias
Tobias
Pilz
0000-0002-5641-3918
PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany
University of Potsdam, Institute of Environmental Science and Geography, Potsdam, Germany
Francke, Till
Till
Francke
0000-0001-8934-4421
University of Potsdam, Institute of Environmental Science and Geography, Potsdam, Germany
Baroni, Gabriele
Gabriele
Baroni
0000-0003-2873-7162
University of Bologna, Department of Agricultural and Food Sciences, Bologna, Italy
Bronstert, Axel
Axel
Bronstert
0000-0002-6369-8536
University of Potsdam, Institute of Environmental Science and Geography, Potsdam, Germany
Data and R-scripts for Dynamic Identifiability Analysis of Process-based Hydrological Model Structures
GFZ Data Services
2019
hydrological modeling
identifiability analysis
flexible models
process-based
ECHSE
EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > DISCHARGE/FLOW
EARTH SCIENCE SERVICES > MODELS > HYDROLOGIC AND TERRESTRIAL WATER CYCLE MODELS
Pilz, Tobias
PIK Potsdam Institute for Climate Impact Research, Potsdam, Germany
Dataset
10.5880/pik.2019.017
http://www.uni-giessen.de/~gh1461/plapada/plapada.html
http://www.fao.org/soils-portal/soil-survey/soil-maps-and-databases/harmonized-world-soil-database-v12/en/
https://www.rstudio.com
https://sqlitebrowser.org/
10.5880/fidgeo.2018.011
DOI of Pilz et al. (submitted) when available
R-SCRIPTS: GNU General Public License, Version 3, 29 June 2007, Copyright © 2018-2019 Tobias Pilz (tobias.pilz@pik-potsdam.de)
DATA: CC BY 4.0
For the article “How to Tailor my Process-based Model? Dynamic Identifiability Analysis of Flexible Model Structures” (Pilz et al., submitted) a flexible simulation environment is coupled with an algorithm for dynamic identifiability analysis to form a diagnostic tool for process-based model building. This associated data description describes first which software is needed (R and the ECHSE model) and how to configure your computer in order to run the model and the analysis. Second, the input data provided within this data set are described. Eventually, the R scripts are described, which were used to initialize and run the model and conduct the subsequent identifiability analysis. This publication comprises the ECHSE model, all R packages in their employed versions, the model setup and results, figures and data presented in the associated research paper, and the R scripts used to initialize and run the model and conduct all analyses.