Articles | Volume 17, issue 5
https://doi.org/10.5194/hess-17-2001-2013
https://doi.org/10.5194/hess-17-2001-2013
Research article
 | 
27 May 2013
Research article |  | 27 May 2013

Assessment of the indirect calibration of a rainfall-runoff model for ungauged catchments in Flanders

N. De Vleeschouwer and V. R. N. Pauwels

Related authors

Uncovering a Key Predictors for Enhancing Daily Streamflow Simulation Using Machine Learning
Arash Aghakhani, David E. Robertson, and Valentijn R. N. Pauwels
EGUsphere, https://doi.org/10.5194/egusphere-2025-553,https://doi.org/10.5194/egusphere-2025-553, 2025
Short summary
Tree hydrodynamic modelling of the soil–plant–atmosphere continuum using FETCH3
Marcela Silva, Ashley M. Matheny, Valentijn R. N. Pauwels, Dimetre Triadis, Justine E. Missik, Gil Bohrer, and Edoardo Daly
Geosci. Model Dev., 15, 2619–2634, https://doi.org/10.5194/gmd-15-2619-2022,https://doi.org/10.5194/gmd-15-2619-2022, 2022
Short summary
Unsaturated zone model complexity for the assimilation of evapotranspiration rates in groundwater modelling
Simone Gelsinari, Valentijn R. N. Pauwels, Edoardo Daly, Jos van Dam, Remko Uijlenhoet, Nicholas Fewster-Young, and Rebecca Doble
Hydrol. Earth Syst. Sci., 25, 2261–2277, https://doi.org/10.5194/hess-25-2261-2021,https://doi.org/10.5194/hess-25-2261-2021, 2021
Short summary
Effect of disdrometer type on rain drop size distribution characterisation: a new dataset for south-eastern Australia
Adrien Guyot, Jayaram Pudashine, Alain Protat, Remko Uijlenhoet, Valentijn R. N. Pauwels, Alan Seed, and Jeffrey P. Walker
Hydrol. Earth Syst. Sci., 23, 4737–4761, https://doi.org/10.5194/hess-23-4737-2019,https://doi.org/10.5194/hess-23-4737-2019, 2019
Short summary
Insights from a new methodology to optimize rain gauge weighting for rainfall-runoff models
Ashley J. Wright, David E. Robertson, Jeffrey P. Walker, and Valentijn R. N. Pauwels
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-450,https://doi.org/10.5194/hess-2019-450, 2019
Revised manuscript not accepted
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?
Wouter J. M. Knoben, Ashwin Raman, Gaby J. Gründemann, Mukesh Kumar, Alain Pietroniro, Chaopeng Shen, Yalan Song, Cyril Thébault, Katie van Werkhoven, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 29, 2361–2375, https://doi.org/10.5194/hess-29-2361-2025,https://doi.org/10.5194/hess-29-2361-2025, 2025
Short summary
CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China
Chen Yang, Zitong Jia, Wenjie Xu, Zhongwang Wei, Xiaolang Zhang, Yiguang Zou, Jeffrey McDonnell, Laura Condon, Yongjiu Dai, and Reed Maxwell
Hydrol. Earth Syst. Sci., 29, 2201–2218, https://doi.org/10.5194/hess-29-2201-2025,https://doi.org/10.5194/hess-29-2201-2025, 2025
Short summary
Evaluating the effects of topography and land use change on hydrological signatures: a comparative study of two adjacent watersheds
Haifan Liu, Haochen Yan, and Mingfu Guan
Hydrol. Earth Syst. Sci., 29, 2109–2132, https://doi.org/10.5194/hess-29-2109-2025,https://doi.org/10.5194/hess-29-2109-2025, 2025
Short summary
Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis
Fabián Lema, Pablo A. Mendoza, Nicolás A. Vásquez, Naoki Mizukami, Mauricio Zambrano-Bigiarini, and Ximena Vargas
Hydrol. Earth Syst. Sci., 29, 1981–2002, https://doi.org/10.5194/hess-29-1981-2025,https://doi.org/10.5194/hess-29-1981-2025, 2025
Short summary
Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model
Sebastian Gegenleithner, Manuel Pirker, Clemens Dorfmann, Roman Kern, and Josef Schneider
Hydrol. Earth Syst. Sci., 29, 1939–1962, https://doi.org/10.5194/hess-29-1939-2025,https://doi.org/10.5194/hess-29-1939-2025, 2025
Short summary

Cited articles

Bárdossy, A.: Calibration of hydrological model parameters for ungauged catchments, Hydrol. Earth Syst. Sci., 11, 703–710, https://doi.org/10.5194/hess-11-703-2007, 2007.
Beven, K. and Binley, A.: The future of distributed models: model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, https://doi.org/10.1002/hyp.3360060305, 1992.
Brown, R. G. and Hwang, P. Y. C.: Introduction to random signals and applied Kalman filtering, John Wiley & Sons, 1992.
Cabus, P.: River flow prediction through rainfall-runoff modelling with a probability-distributed model (PDM) in Flanders, Belgium, Agr. Water Manage., 95, 859–868, https://doi.org/10.1016/j.agwat.2008.02.013, 2008.
Castiglioni, S., Lombardi, L., Toth, E., Castellarin, A., and Montanari, A.: Calibration of rainfall-runoff models in ungauged basins: A regional maximum likelihood approach, Adv. Water Resour., 33, 1235–1242, https://doi.org/10.1016/j.advwatres.2010.04.009, Workshop on New Frontiers of Hydrology, Rome, Italy, JUL, 2009, 2010.
Download
Share