Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 3
Articles | Volume 30, issue 3
https://doi.org/10.5194/hess-30-525-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-525-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 3
Research article
 | 
02 Feb 2026
Research article |  | 02 Feb 2026

Joint calibration of multi-scale hydrological data sets using probabilistic water balance data fusion: methodology and application to the irrigated Hindon River Basin, India

Roya Mourad, Gerrit Schoups, Vinnarasi Rajendran, and Wim Bastiaanssen

Related authors

Adaptation of root zone storage capacity to climate change and its effects on future streamflow in Alpine catchments: towards non-stationary model parameters
Magali Ponds, Sarah Hanus, Harry Zekollari, Marie-Claire ten Veldhuis, Gerrit Schoups, Roland Kaitna, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 3545–3568, https://doi.org/10.5194/hess-29-3545-2025,https://doi.org/10.5194/hess-29-3545-2025, 2025
Short summary
Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability have minor effects on the hydrological response in the Neckar River basin, Germany
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024,https://doi.org/10.5194/hess-28-4011-2024, 2024
Short summary
A Bayesian model for quantifying errors in citizen science data: application to rainfall observations from Nepal
Jessica A. Eisma, Gerrit Schoups, Jeffrey C. Davids, and Nick van de Giesen
Hydrol. Earth Syst. Sci., 27, 3565–3579, https://doi.org/10.5194/hess-27-3565-2023,https://doi.org/10.5194/hess-27-3565-2023, 2023
Short summary
Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models
Siyuan Wang, Markus Hrachowitz, Gerrit Schoups, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 3083–3114, https://doi.org/10.5194/hess-27-3083-2023,https://doi.org/10.5194/hess-27-3083-2023, 2023
Short summary
Citizen rain gauges improve hourly radar rainfall bias correction using a two-step Kalman filter
Punpim Puttaraksa Mapiam, Monton Methaprayun, Thom Bogaard, Gerrit Schoups, and Marie-Claire Ten Veldhuis
Hydrol. Earth Syst. Sci., 26, 775–794, https://doi.org/10.5194/hess-26-775-2022,https://doi.org/10.5194/hess-26-775-2022, 2022
Short summary
More articles (2)

Cited articles

Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., and Hegewisch, K. C.: TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015, Scientific data, 5, 1–12, https://doi.org/10.1038/sdata.2017.191, 2018. 
Abolafia-Rosenzweig, R., Pan, M., Zeng, J., and Livneh, B.: Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques, Remote Sensing of Environment, 252, 112191, https://doi.org/10.1016/j.rse.2020.112191, 2021. 
Abramowitz, M. and Stegun, I. A.: Handbook of mathematical functions with formulas, graphs, and mathematical tables, US Government printing office, https://archive.org/details/AandS-mono600?utm_source (last access: 1 February 2025), 1968. 
Ahmad, F.: Canal Irrigation: Major Legal Issues, Journal of the Indian Law Institute, 33, 589–613, 1991. 
Aires, F.: Combining datasets of satellite-retrieved products. Part I: Methodology and water budget closure, Journal of Hydrometeorology, 15, 1677–1691, https://doi.org/10.1175/JHM-D-13-0148.1, 2014. 
More articles (69)
Download
Short summary
Water balance data are affected by various errors (bias and noise). To reduce these errors, this study presents a water balance data fusion approach that combines multi-scale data (from satellites and in-situ sensors) for each water balance variable and jointly calibrates them, resulting in consistent, bias-corrected and noise-filtered, water balance estimates, along with uncertainty bands. These estimates are useful for constraining process-based models and informing water management decisions.
Read more
Share