Articles | Volume 26, issue 10
https://doi.org/10.5194/hess-26-2715-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-2715-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 May 2022
Research article |
| 24 May 2022
| 24 May 2022
Quantifying multi-year hydrological memory with Catchment Forgetting Curves
Alban de Lavenne
CORRESPONDING AUTHOR
Swedish Meteorological and Hydrological Institute (SMHI), Hydrology Research Department, Norrköping, Sweden
Université Paris‐Saclay, INRAE, UR HYCAR, Antony, France
Vazken Andréassian
Université Paris‐Saclay, INRAE, UR HYCAR, Antony, France
Louise Crochemore
Swedish Meteorological and Hydrological Institute (SMHI), Hydrology Research Department, Norrköping, Sweden
INRAE, UR RiverLy, Lyon, France
Université Grenoble Alpes, CNRS, IRD, Grenoble INP, IGE, Grenoble, France
Göran Lindström
Swedish Meteorological and Hydrological Institute (SMHI), Hydrology Research Department, Norrköping, Sweden
Berit Arheimer
Swedish Meteorological and Hydrological Institute (SMHI), Hydrology Research Department, Norrköping, Sweden
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- Estimation of seasonal precipitation memory curves for major rivers in the Tibetan Plateau based on GRACE satellites data H. Gu et al. 10.1016/j.ejrh.2024.101942
- Can the young water fraction reduce predictive uncertainty in water transit time estimations? A. Borriero et al. 10.1016/j.jhydrol.2024.132238
- Review article: Drought as a continuum – memory effects in interlinked hydrological, ecological, and social systems A. Van Loon et al. 10.5194/nhess-24-3173-2024
- Quantifying Baseflow Changes Due to Irrigation Expansion Using SWAT+gwflow R. Navas et al. 10.3390/w17111680
- Exploring groundwater drought responsiveness in lowland post-glacial environments M. Nygren et al. 10.1007/s10040-022-02521-5
- Estimation of Monthly Water Table Depth Anomalies Based on the Integration of GRACE and ERA5-Land with Large-Scale Simulations Using Random Forest and LSTM Networks L. Avila et al. 10.1007/s11269-025-04097-7
Latest update: 30 Jun 2025
Short summary
A watershed remembers the past to some extent, and this memory influences its behavior. This memory is defined by the ability to store past rainfall for several years. By releasing this water into the river or the atmosphere, it tends to forget. We describe how this memory fades over time in France and Sweden. A few watersheds show a multi-year memory. It increases with the influence of groundwater or dry conditions. After 3 or 4 years, they behave independently of the past.
A watershed remembers the past to some extent, and this memory influences its behavior. This...
