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
Viewed
Total article views: 6,274 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Jun 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,546 | 1,606 | 122 | 6,274 | 150 | 151 |
- HTML: 4,546
- PDF: 1,606
- XML: 122
- Total: 6,274
- BibTeX: 150
- EndNote: 151
Total article views: 4,616 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 May 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,579 | 946 | 91 | 4,616 | 121 | 131 |
- HTML: 3,579
- PDF: 946
- XML: 91
- Total: 4,616
- BibTeX: 121
- EndNote: 131
Total article views: 1,658 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Jun 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 967 | 660 | 31 | 1,658 | 29 | 20 |
- HTML: 967
- PDF: 660
- XML: 31
- Total: 1,658
- BibTeX: 29
- EndNote: 20
Viewed (geographical distribution)
Total article views: 6,274 (including HTML, PDF, and XML)
Thereof 5,921 with geography defined
and 353 with unknown origin.
Total article views: 4,616 (including HTML, PDF, and XML)
Thereof 4,344 with geography defined
and 272 with unknown origin.
Total article views: 1,658 (including HTML, PDF, and XML)
Thereof 1,577 with geography defined
and 81 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
26 citations as recorded by crossref.
- Toward interpretable LSTM-based modeling of hydrological systems L. De la Fuente et al. https://doi.org/10.5194/hess-28-945-2024
- Winter post-droughts amplify extreme nitrate concentrations in German rivers F. Saavedra et al. https://doi.org/10.1088/1748-9326/ad19ed
- Analysis of Hydrological Memory Characteristics in Taiwan’s Catchments T. Fang et al. https://doi.org/10.3390/atmos16010019
- Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. https://doi.org/10.1029/2022WR033655
- Multi-step ahead streamflow forecasting method using Embedding Multi-Layer Perceptron Y. Li & S. Yang https://doi.org/10.1016/j.ejrh.2026.103349
- Is the ‘Year Without a Summer’ imprinted in continental varve thickness records? K. Pleskot & B. Zolitschka https://doi.org/10.1016/j.quascirev.2024.109085
- Sensitivities of mean and extreme streamflow to climate variability across Europe A. Hemshorn de Sánchez et al. https://doi.org/10.5194/hess-30-2667-2026
- Non-Stationarity of Hydroclimatic Memory—Is Hydrological Memory Changing Under Climate Warming? M. Birylo https://doi.org/10.3390/w18070869
- Seasonal and upstream rainfall controls on monsoon flood onset in Bangladesh’s Haor wetlands M. Rahman https://doi.org/10.1007/s11069-026-08075-z
- Estimation of seasonal precipitation memory curves for major rivers in the Tibetan Plateau based on GRACE satellites data H. Gu et al. https://doi.org/10.1016/j.ejrh.2024.101942
- Quantifying Baseflow Changes Due to Irrigation Expansion Using SWAT+gwflow R. Navas et al. https://doi.org/10.3390/w17111680
- Exploring groundwater drought responsiveness in lowland post-glacial environments M. Nygren et al. https://doi.org/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. https://doi.org/10.1007/s11269-025-04097-7
- Temporal hydrological drought clustering varies with climate and land-surface processes M. Brunner & K. Stahl https://doi.org/10.1088/1748-9326/acb8ca
- Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers L. Santos et al. https://doi.org/10.5194/hess-29-683-2025
- Seasonal catchment memory of high mountain rivers in the Tibetan Plateau H. Gu et al. https://doi.org/10.1038/s41467-023-38966-9
- Annual memory in the terrestrial water cycle W. Berghuijs et al. https://doi.org/10.5194/hess-29-1319-2025
- Assessing fluctuations of long-memory environmental variables based on the robustified dynamic Orlicz risk H. Yoshioka & Y. Yoshioka https://doi.org/10.1016/j.chaos.2023.114336
- Decoding lake water dynamics to optimize watershed agriculture through isotopic analyses of memory effects and hydrological connectivity J. Wu et al. https://doi.org/10.1016/j.ecolind.2024.112826
- Streamflow elasticity as a function of aridity V. Andréassian et al. https://doi.org/10.5194/hess-30-1865-2026
- Uncertainty, temporal variability, and influencing factors of empirical streamflow sensitivities S. Gnann et al. https://doi.org/10.5194/hess-30-779-2026
- How can we benefit from regime information to make more effective use of long short-term memory (LSTM) runoff models? R. Hashemi et al. https://doi.org/10.5194/hess-26-5793-2022
- Sensitive or resilient catchment?: A Budyko-based modeling approach for climate change and anthropogenic stress under historical to CMIP6 future scenarios S. Swain et al. https://doi.org/10.1016/j.jhydrol.2023.129651
- Time shift between precipitation and evaporation has more impact on annual streamflow variability than the elasticity of potential evaporation V. Andréassian et al. https://doi.org/10.5194/hess-29-5477-2025
- Can the young water fraction reduce predictive uncertainty in water transit time estimations? A. Borriero et al. https://doi.org/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. https://doi.org/10.5194/nhess-24-3173-2024
26 citations as recorded by crossref.
- Toward interpretable LSTM-based modeling of hydrological systems L. De la Fuente et al. https://doi.org/10.5194/hess-28-945-2024
- Winter post-droughts amplify extreme nitrate concentrations in German rivers F. Saavedra et al. https://doi.org/10.1088/1748-9326/ad19ed
- Analysis of Hydrological Memory Characteristics in Taiwan’s Catchments T. Fang et al. https://doi.org/10.3390/atmos16010019
- Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. https://doi.org/10.1029/2022WR033655
- Multi-step ahead streamflow forecasting method using Embedding Multi-Layer Perceptron Y. Li & S. Yang https://doi.org/10.1016/j.ejrh.2026.103349
- Is the ‘Year Without a Summer’ imprinted in continental varve thickness records? K. Pleskot & B. Zolitschka https://doi.org/10.1016/j.quascirev.2024.109085
- Sensitivities of mean and extreme streamflow to climate variability across Europe A. Hemshorn de Sánchez et al. https://doi.org/10.5194/hess-30-2667-2026
- Non-Stationarity of Hydroclimatic Memory—Is Hydrological Memory Changing Under Climate Warming? M. Birylo https://doi.org/10.3390/w18070869
- Seasonal and upstream rainfall controls on monsoon flood onset in Bangladesh’s Haor wetlands M. Rahman https://doi.org/10.1007/s11069-026-08075-z
- Estimation of seasonal precipitation memory curves for major rivers in the Tibetan Plateau based on GRACE satellites data H. Gu et al. https://doi.org/10.1016/j.ejrh.2024.101942
- Quantifying Baseflow Changes Due to Irrigation Expansion Using SWAT+gwflow R. Navas et al. https://doi.org/10.3390/w17111680
- Exploring groundwater drought responsiveness in lowland post-glacial environments M. Nygren et al. https://doi.org/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. https://doi.org/10.1007/s11269-025-04097-7
- Temporal hydrological drought clustering varies with climate and land-surface processes M. Brunner & K. Stahl https://doi.org/10.1088/1748-9326/acb8ca
- Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers L. Santos et al. https://doi.org/10.5194/hess-29-683-2025
- Seasonal catchment memory of high mountain rivers in the Tibetan Plateau H. Gu et al. https://doi.org/10.1038/s41467-023-38966-9
- Annual memory in the terrestrial water cycle W. Berghuijs et al. https://doi.org/10.5194/hess-29-1319-2025
- Assessing fluctuations of long-memory environmental variables based on the robustified dynamic Orlicz risk H. Yoshioka & Y. Yoshioka https://doi.org/10.1016/j.chaos.2023.114336
- Decoding lake water dynamics to optimize watershed agriculture through isotopic analyses of memory effects and hydrological connectivity J. Wu et al. https://doi.org/10.1016/j.ecolind.2024.112826
- Streamflow elasticity as a function of aridity V. Andréassian et al. https://doi.org/10.5194/hess-30-1865-2026
- Uncertainty, temporal variability, and influencing factors of empirical streamflow sensitivities S. Gnann et al. https://doi.org/10.5194/hess-30-779-2026
- How can we benefit from regime information to make more effective use of long short-term memory (LSTM) runoff models? R. Hashemi et al. https://doi.org/10.5194/hess-26-5793-2022
- Sensitive or resilient catchment?: A Budyko-based modeling approach for climate change and anthropogenic stress under historical to CMIP6 future scenarios S. Swain et al. https://doi.org/10.1016/j.jhydrol.2023.129651
- Time shift between precipitation and evaporation has more impact on annual streamflow variability than the elasticity of potential evaporation V. Andréassian et al. https://doi.org/10.5194/hess-29-5477-2025
- Can the young water fraction reduce predictive uncertainty in water transit time estimations? A. Borriero et al. https://doi.org/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. https://doi.org/10.5194/nhess-24-3173-2024
Saved (final revised paper)
Latest update: 09 Jun 2026
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...
