Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4375-2016
https://doi.org/10.5194/hess-20-4375-2016
Research article
 | 
28 Oct 2016
Research article |  | 28 Oct 2016

Combined assimilation of streamflow and snow water equivalent for mid-term ensemble streamflow forecasts in snow-dominated regions

Jean M. Bergeron, Mélanie Trudel, and Robert Leconte

Related authors

Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions
Jean Bergeron, Gabriela Siles, Robert Leconte, Mélanie Trudel, Damien Desroches, and Daniel L. Peters
Hydrol. Earth Syst. Sci., 24, 5985–6000, https://doi.org/10.5194/hess-24-5985-2020,https://doi.org/10.5194/hess-24-5985-2020, 2020
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow
Dipti Tiwari, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci., 28, 1127–1146, https://doi.org/10.5194/hess-28-1127-2024,https://doi.org/10.5194/hess-28-1127-2024, 2024
Short summary
Toward interpretable LSTM-based modeling of hydrological systems
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci., 28, 945–971, https://doi.org/10.5194/hess-28-945-2024,https://doi.org/10.5194/hess-28-945-2024, 2024
Short summary
Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model
Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal
Hydrol. Earth Syst. Sci., 28, 851–871, https://doi.org/10.5194/hess-28-851-2024,https://doi.org/10.5194/hess-28-851-2024, 2024
Short summary
What controls the tail behaviour of flood series: rainfall or runoff generation?
Elena Macdonald, Bruno Merz, Björn Guse, Viet Dung Nguyen, Xiaoxiang Guan, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 28, 833–850, https://doi.org/10.5194/hess-28-833-2024,https://doi.org/10.5194/hess-28-833-2024, 2024
Short summary
Seasonal prediction of end-of-dry-season watershed behavior in a highly interconnected alluvial watershed in northern California
Claire Kouba and Thomas Harter
Hydrol. Earth Syst. Sci., 28, 691–718, https://doi.org/10.5194/hess-28-691-2024,https://doi.org/10.5194/hess-28-691-2024, 2024
Short summary

Cited articles

Abaza, M., Anctil, F., Fortin, V., and Turcotte, R.: Sequential streamflow assimilation for short-term hydrological ensemble forecasting, J. Hydrol., 519, 2692–2706, https://doi.org/10.1016/j.jhydrol.2014.08.038, 2014.
Abaza, M., Anctil, F., Fortin, V., and Turcotte, R.: Exploration of sequential streamflow assimilation in snow dominated watersheds, Adv. Water Resour., 80, 79–89, https://doi.org/10.1016/j.advwatres.2015.03.011, 2015.
Anderson, E. A.: National Weather Service river forecast system: Snow accumulation and ablation model, US Department of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, Washington, D.C., 240 pp., 1973.
Andreadis, K. M. and Lettenmaier, D. P.: Assimilating remotely sensed snow observations into a macroscale hydrology model, Adv. Water Resour., 29, 872–886, https://doi.org/10.1016/j.advwatres.2005.08.004, 2006.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large Area Hydrologic Modeling and Assessment Part I: Model Development, J. Am. Water Resour. Assoc., 34, 73–89, https://doi.org/10.1111/j.1752-1688.1998.tb05961.x, 1998.
Download
Short summary
We want to know how combined snow water equivalent (SWE) and streamflow data assimilation (DA) impacts streamflow predictions and how it compares with DA of SWE only and streamflow only. Results show that streamflow DA positively impacts short-term streamflow forecasts, while the impact of SWE DA lasts over a much longer horizon. Simultaneous DA of both SWE and streamflow performs better than its individual counterparts at all forecast horizons.