Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1016/j.envsoft.2026.107014 |
| Titel (primär) | SWATtunR: A transparent and reproducible workflow for scripted SWAT+ calibration in R |
| Autor | Plungė, S.; Schürz, C.; Strauch, M.
; Piniewski, M. |
| Quelle | Environmental Modelling & Software |
| Erscheinungsjahr | 2026 |
| Department | CLE |
| Band/Volume | 203 |
| Seite von | art. 107014 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Keywords | SWAT+; Calibration; Reproducibility; R package; Hydrological modeling; Environmental workflow |
| Abstract | This paper introduces SWATtunR, a GitHub-hosted R package for scripted workflows designed to streamline and enhance the calibration and validation process of SWAT + hydrological models. Addressing widespread challenges in model reproducibility, transparency, and user control, SWATtunR integrates both soft and hard calibration workflows within a fully scriptable and procedurally reproducible environment. The tool supports expert-guided and automated workflows, enabling flexible model calibration through parameter sampling, performance evaluation, and advanced visualization. A demonstration using the Little River Experimental Watershed presents its functionality and effectiveness. In this case study, the proposed workflow achieved very good streamflow simulation performance during calibration (NSE >0.65, KGE >0.75, |PBIAS| < 10%) and satisfactory performance during validation, markedly improving upon the uncalibrated model. By promoting transparent and reproducible calibration practices, SWATtunR provides a practical tool for hydrological modelling studies and supports reliable, policy-relevant water resource assessments. |
| Plungė, S., Schürz, C., Strauch, M., Piniewski, M. (2026): SWATtunR: A transparent and reproducible workflow for scripted SWAT+ calibration in R Environ. Modell. Softw. 203 , art. 107014 10.1016/j.envsoft.2026.107014 |
|