Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1627-2018
https://doi.org/10.5194/gmd-11-1627-2018
Model description paper
 | 
25 Apr 2018
Model description paper |  | 25 Apr 2018

tran-SAS v1.0: a numerical model to compute catchment-scale hydrologic transport using StorAge Selection functions

Paolo Benettin and Enrico Bertuzzo

Related authors

Nitrate and Water Isotopes as Tools to Resolve Nitrate Transit Times in a Mixed Land Use Catchment
Christina Franziska Radtke, Xiaoqiang Yang, Christin Müller, Jarno Rouhiainen, Ralf Merz, Stefanie R. Lutz, Paolo Benettin, Hong Wei, and Kay Knöller
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-109,https://doi.org/10.5194/hess-2024-109, 2024
Preprint under review for HESS
Short summary
Changes in flowing drainage network and stream chemistry during rainfall events for two pre-Alpine catchments
Izabela Bujak-Ozga, Jana von Freyberg, Margaret Zimmer, Andrea Rinaldo, Paolo Benettin, and Ilja van Meerveld
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-67,https://doi.org/10.5194/hess-2024-67, 2024
Preprint under review for HESS
Short summary
Precipitation fate and transport in a Mediterranean catchment through models calibrated on plant and stream water isotope data
Matthias Sprenger, Pilar Llorens, Francesc Gallart, Paolo Benettin, Scott T. Allen, and Jérôme Latron
Hydrol. Earth Syst. Sci., 26, 4093–4107, https://doi.org/10.5194/hess-26-4093-2022,https://doi.org/10.5194/hess-26-4093-2022, 2022
Short summary
How plant water status drives tree source water partitioning
Magali F. Nehemy, Paolo Benettin, Mitra Asadollahi, Dyan Pratt, Andrea Rinaldo, and Jeffrey J. McDonnell
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-528,https://doi.org/10.5194/hess-2019-528, 2019
Preprint withdrawn
Ideas and perspectives: Tracing terrestrial ecosystem water fluxes using hydrogen and oxygen stable isotopes – challenges and opportunities from an interdisciplinary perspective
Daniele Penna, Luisa Hopp, Francesca Scandellari, Scott T. Allen, Paolo Benettin, Matthias Beyer, Josie Geris, Julian Klaus, John D. Marshall, Luitgard Schwendenmann, Till H. M. Volkmann, Jana von Freyberg, Anam Amin, Natalie Ceperley, Michael Engel, Jay Frentress, Yamuna Giambastiani, Jeff J. McDonnell, Giulia Zuecco, Pilar Llorens, Rolf T. W. Siegwolf, Todd E. Dawson, and James W. Kirchner
Biogeosciences, 15, 6399–6415, https://doi.org/10.5194/bg-15-6399-2018,https://doi.org/10.5194/bg-15-6399-2018, 2018
Short summary

Related subject area

Hydrology
STORM v.2: A simple, stochastic rainfall model for exploring the impacts of climate and climate change at and near the land surface in gauged watersheds
Manuel F. Rios Gaona, Katerina Michaelides, and Michael Bliss Singer
Geosci. Model Dev., 17, 5387–5412, https://doi.org/10.5194/gmd-17-5387-2024,https://doi.org/10.5194/gmd-17-5387-2024, 2024
Short summary
Fluvial flood inundation and socio-economic impact model based on open data
Lukas Riedel, Thomas Röösli, Thomas Vogt, and David N. Bresch
Geosci. Model Dev., 17, 5291–5308, https://doi.org/10.5194/gmd-17-5291-2024,https://doi.org/10.5194/gmd-17-5291-2024, 2024
Short summary
RoGeR v3.0.5 – a process-based hydrological toolbox model in Python
Robin Schwemmle, Hannes Leistert, Andreas Steinbrich, and Markus Weiler
Geosci. Model Dev., 17, 5249–5262, https://doi.org/10.5194/gmd-17-5249-2024,https://doi.org/10.5194/gmd-17-5249-2024, 2024
Short summary
Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – towards an improved representation of mountain water resources in global assessments
Sarah Hanus, Lilian Schuster, Peter Burek, Fabien Maussion, Yoshihide Wada, and Daniel Viviroli
Geosci. Model Dev., 17, 5123–5144, https://doi.org/10.5194/gmd-17-5123-2024,https://doi.org/10.5194/gmd-17-5123-2024, 2024
Short summary
An open-source refactoring of the Canadian Small Lakes Model for estimates of evaporation from medium-sized reservoirs
M. Graham Clark and Sean K. Carey
Geosci. Model Dev., 17, 4911–4922, https://doi.org/10.5194/gmd-17-4911-2024,https://doi.org/10.5194/gmd-17-4911-2024, 2024
Short summary

Cited articles

Benettin, P., Rinaldo, A., and Botter, G.: Kinematics of age mixing in advection-dispersion models, Water Resour. Res., 49, 8539–8551, https://doi.org/10.1002/2013WR014708, 2013. a
Benettin, P., Bailey, S. W., Campbell, J. L., Green, M. B., Rinaldo, A., Likens, G. E., McGuire, K. J., and Botter, G.: Linking water age and solute dynamics in streamflow at the Hubbard Brook Experimental Forest, NH, USA, Water Resour. Res., 51, 9256–9272, https://doi.org/10.1002/2015WR017552, 2015a. a, b
Benettin, P., Rinaldo, A., and Botter, G.: Tracking residence times in hydrological systems: forward and backward formulations, Hydrol. Proc., 29, 5203–5213, https://doi.org/10.1002/hyp.10513, 2015b. a, b
Benettin, P., Bailey, S. W., Rinaldo, A., Likens, G. E., McGuire, K. J., and Botter, G.: Young runoff fractions control streamwater age and solute concentration dynamics, Hydrol. Proc., 31, 2982–2986, https://doi.org/10.1002/hyp.11243, 2017a. a
Benettin, P., Soulsby, C., Birkel, C., Tetzlaff, D., Botter, G., and Rinaldo, A.: Using SAS functions and high resolution isotope data to unravel travel time distributions in headwater catchments, Water Resour. Res., 53, 1864–1878, https://doi.org/10.1002/2016WR020117, 2017b. a, b, c, d
Download
Short summary
Solutes introduced in the environment are transported by water to streams and lakes. The tran-SAS package includes a set of codes to model this process for entire watersheds by using the concept of water residence times, i.e. the time that water takes to move through the landscape. Results show that the model is implemented efficiently and it can be used to simulate solute transport in a number of different conditions.