Articles | Volume 17, issue 1
https://doi.org/10.5194/hess-17-395-2013
https://doi.org/10.5194/hess-17-395-2013
Research article
 | 
29 Jan 2013
Research article |  | 29 Jan 2013

Monthly hydrometeorological ensemble prediction of streamflow droughts and corresponding drought indices

F. Fundel, S. Jörg-Hess, and M. Zappa

Related authors

Swiss glacier mass loss during the 2022 drought: persistent streamflow contributions amid declining melt water volumes
Marit van Tiel, Matthias Huss, Massimiliano Zappa, Tobias Jonas, and Daniel Farinotti
EGUsphere, https://doi.org/10.5194/egusphere-2025-404,https://doi.org/10.5194/egusphere-2025-404, 2025
Short summary
Extended-range forecasting of stream water temperature with deep-learning models
Ryan S. Padrón, Massimiliano Zappa, Luzi Bernhard, and Konrad Bogner
Hydrol. Earth Syst. Sci., 29, 1685–1702, https://doi.org/10.5194/hess-29-1685-2025,https://doi.org/10.5194/hess-29-1685-2025, 2025
Short summary
Towards an Operational Groundwater Level Forecasting System in Switzerland
Raoul Alexandre Collenteur, Konrad Bogner, Christian Moeck, Massimiliano Zappa, and Mario Schirmer
Abstr. Int. Cartogr. Assoc., 9, 5, https://doi.org/10.5194/ica-abs-9-5-2025,https://doi.org/10.5194/ica-abs-9-5-2025, 2025
CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
Hydrol. Earth Syst. Sci., 29, 1061–1082, https://doi.org/10.5194/hess-29-1061-2025,https://doi.org/10.5194/hess-29-1061-2025, 2025
Short summary
Applying recession models for low-flow prediction: a comparison of regression and matching strip approaches
Michael Margreth, Florian Lustenberger, Dorothea Hug Peter, Fritz Schlunegger, and Massimiliano Zappa
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-78,https://doi.org/10.5194/nhess-2024-78, 2024
Preprint under review for NHESS
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
The role of land–atmosphere coupling in subseasonal surface air temperature prediction across the contiguous United States
Yuna Lim, Andrea M. Molod, Randal D. Koster, and Joseph A. Santanello
Hydrol. Earth Syst. Sci., 29, 3435–3445, https://doi.org/10.5194/hess-29-3435-2025,https://doi.org/10.5194/hess-29-3435-2025, 2025
Short summary
Barriers to urban hydrometeorological simulation: a review
Xuan Chen, Job Augustijn van der Werf, Arjan Droste, Miriam Coenders-Gerrits, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 29, 3447–3480, https://doi.org/10.5194/hess-29-3447-2025,https://doi.org/10.5194/hess-29-3447-2025, 2025
Short summary
Global catalog of soil moisture droughts over the past four decades
Jan Řehoř, Rudolf Brázdil, Oldřich Rakovec, Martin Hanel, Milan Fischer, Rohini Kumar, Jan Balek, Markéta Poděbradská, Vojtěch Moravec, Luis Samaniego, Yannis Markonis, and Miroslav Trnka
Hydrol. Earth Syst. Sci., 29, 3341–3358, https://doi.org/10.5194/hess-29-3341-2025,https://doi.org/10.5194/hess-29-3341-2025, 2025
Short summary
Probabilistic precipitation downscaling for ungauged mountain sites: a pilot study for the Hindu Kush Himalaya
Marc Girona-Mata, Andrew Orr, Martin Widmann, Daniel Bannister, Ghulam Hussain Dars, Scott Hosking, Jesse Norris, David Ocio, Tony Phillips, Jakob Steiner, and Richard E. Turner
Hydrol. Earth Syst. Sci., 29, 3073–3100, https://doi.org/10.5194/hess-29-3073-2025,https://doi.org/10.5194/hess-29-3073-2025, 2025
Short summary
Implementation of global soil databases in the Noah-MP model and the effects on simulated mean and extreme soil hydrothermal changes
Kazeem Abiodun Ishola, Gerald Mills, Ankur Prabhat Sati, Benjamin Obe, Matthias Demuzere, Deepak Upreti, Gourav Misra, Paul Lewis, Daire Walsh, Tim McCarthy, and Rowan Fealy
Hydrol. Earth Syst. Sci., 29, 2551–2582, https://doi.org/10.5194/hess-29-2551-2025,https://doi.org/10.5194/hess-29-2551-2025, 2025
Short summary

Cited articles

Beniston, M.: The 2003 heat wave in Europe: A shape of things to come? An analysis based on Swiss climatological data and model simulations, Geophys. Res. Lett., 31, L02202, https://doi.org/10.1029/2003GL018857, 2004.
Bergström, S. and Forsman, A.: Developement of a conceptual deterministic rainfall–runoff model, Nord. Hydrol., 4, 147–170, https://doi.org/10.2166/nh.1973.012, 1973.
Bordi, I. and Sutera, A.: DROUGHT MONITORING AND FORECASTING AT LARGE SCALE, in: Methods and Tools for Drought Analysis and Management, edited by: Rossi, G., Vega, T., and Bonaccorso, B., Chap. 1, 3–27, Springer Netherlands, https://doi.org/10.1007/978-1-4020-5924-7_1, 2007.
Cacciamani, C., Morgillo, A., Marchesi, S., and Pavan, V.: Monitoring and forecasting drought on a regional scale: Emilia-Romagna region, in: Methods and Tools for Drought Analysis and Management, edited by: Rossi, G., Vega, T., and Bonaccorso, B., Chap. 2, 29–48, Springer Netherlands, https://doi.org/10.1007/978-1-4020-5924-7_2, 2007.
Cancelliere, A., Mauro, G. D., Bonaccorso, B., and Rossi, G.: Drought forecasting using the Standardized Precipitation Index, Water Resour. Manag., 21, 801–819, https://doi.org/10.1007/s11269-006-9062-y, 2006.
Download
Share