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Data and R-scripts for Dynamic Identifiability Analysis of Process-based Hydrological Model Structures

Authors
/persons/resource/Tobias.Pilz

Pilz,  Tobias
Potsdam Institute for Climate Impact Research;

Francke,  Till
External Organizations;

Baroni,  Gabriele
External Organizations;

Bronstert,  Axel
External Organizations;

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Citation

Pilz, T., Francke, T., Baroni, G., Bronstert, A. (2020): Data and R-scripts for Dynamic Identifiability Analysis of Process-based Hydrological Model Structures.
https://doi.org/10.5880/PIK.2019.016


Cite as: https://publications.pik-potsdam.de/pubman/item/item_24381
Abstract
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.