Articles | Volume 24, issue 3
Hydrol. Earth Syst. Sci., 24, 1159–1170, 2020
https://doi.org/10.5194/hess-24-1159-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 24, 1159–1170, 2020
https://doi.org/10.5194/hess-24-1159-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
11 Mar 2020
Research article
| 11 Mar 2020
Recession analysis revisited: impacts of climate on parameter estimation
Elizabeth R. Jachens et al.
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Total article views: 1,649 (including HTML, PDF, and XML)
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Cited
16 citations as recorded by crossref.
- Including Regional Knowledge Improves Baseflow Signature Predictions in Large Sample Hydrology S. Gnann et al. 10.1029/2020WR028354
- Baseflow and transmission loss: A review T. McMahon & R. Nathan 10.1002/wat2.1527
- Decorrelation is not dissociation: There is no means to entirely decouple the Brutsaert-Nieber parameters in streamflow recession analysis B. Biswal 10.1016/j.advwatres.2020.103822
- Tracer-aided assessment of catchment groundwater dynamics and residence time R. Zhu et al. 10.1016/j.jhydrol.2021.126230
- An improved method to estimate the rate of change of streamflow recession and basin synthetic recession parameters from hydrographs M. Gao et al. 10.1016/j.jhydrol.2021.127254
- Baseflow signature behaviour of mountainous catchments around the North China Plain S. Lyu et al. 10.1016/j.jhydrol.2022.127450
- Characterizing hydrograph recessions from satellite-derived soil moisture S. Basso et al. 10.1016/j.scitotenv.2020.143469
- Hydrograph recession extraction algorithm (HYDRA): Minimizing influence of stage uncertainty in identification of recession events B. Thomas 10.1016/j.advwatres.2021.103937
- Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies A. Gonzalez-Nicolas et al. 10.3390/w13131723
- Increasing non‐linearity of the storage‐discharge relationship in sub‐Arctic catchments A. Hinzman et al. 10.1002/hyp.13860
- Streamflow Recession Analysis Using Water Height E. Jachens et al. 10.1029/2020WR027091
- An Empirical Reevaluation of Streamflow Recession Analysis at the Continental Scale A. Tashie et al. 10.1029/2019WR025448
- A Parsimonious Empirical Approach to Streamflow Recession Analysis and Forecasting D. Delforge et al. 10.1029/2019WR025771
- Investigating meteorological effect on river flow recession rate in an arid environment L. Gunawardhana & G. Al-Rawas 10.1080/02626667.2020.1798009
- Spatial and Temporal Patterns in Baseflow Recession in the Continental United States A. Tashie et al. 10.1029/2019WR026425
- A comparative evaluation of automated recession extraction methods to determine the late-time recession characteristics of karst spring hydrographs K. ÖZDEMİR ÇALLI & A. HARTMANN 10.31807/tjwsm.930269
11 citations as recorded by crossref.
- Including Regional Knowledge Improves Baseflow Signature Predictions in Large Sample Hydrology S. Gnann et al. 10.1029/2020WR028354
- Baseflow and transmission loss: A review T. McMahon & R. Nathan 10.1002/wat2.1527
- Decorrelation is not dissociation: There is no means to entirely decouple the Brutsaert-Nieber parameters in streamflow recession analysis B. Biswal 10.1016/j.advwatres.2020.103822
- Tracer-aided assessment of catchment groundwater dynamics and residence time R. Zhu et al. 10.1016/j.jhydrol.2021.126230
- An improved method to estimate the rate of change of streamflow recession and basin synthetic recession parameters from hydrographs M. Gao et al. 10.1016/j.jhydrol.2021.127254
- Baseflow signature behaviour of mountainous catchments around the North China Plain S. Lyu et al. 10.1016/j.jhydrol.2022.127450
- Characterizing hydrograph recessions from satellite-derived soil moisture S. Basso et al. 10.1016/j.scitotenv.2020.143469
- Hydrograph recession extraction algorithm (HYDRA): Minimizing influence of stage uncertainty in identification of recession events B. Thomas 10.1016/j.advwatres.2021.103937
- Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies A. Gonzalez-Nicolas et al. 10.3390/w13131723
- Increasing non‐linearity of the storage‐discharge relationship in sub‐Arctic catchments A. Hinzman et al. 10.1002/hyp.13860
- Streamflow Recession Analysis Using Water Height E. Jachens et al. 10.1029/2020WR027091
5 citations as recorded by crossref.
- An Empirical Reevaluation of Streamflow Recession Analysis at the Continental Scale A. Tashie et al. 10.1029/2019WR025448
- A Parsimonious Empirical Approach to Streamflow Recession Analysis and Forecasting D. Delforge et al. 10.1029/2019WR025771
- Investigating meteorological effect on river flow recession rate in an arid environment L. Gunawardhana & G. Al-Rawas 10.1080/02626667.2020.1798009
- Spatial and Temporal Patterns in Baseflow Recession in the Continental United States A. Tashie et al. 10.1029/2019WR026425
- A comparative evaluation of automated recession extraction methods to determine the late-time recession characteristics of karst spring hydrographs K. ÖZDEMİR ÇALLI & A. HARTMANN 10.31807/tjwsm.930269
Latest update: 31 Jan 2023
Short summary
Recession analysis uses the receding streamflow following precipitation events to estimate watershed-average properties. Two methods for recession analysis use recession events individually or all events collectively. Using synthetic case studies, this paper shows that analyzing recessions collectively produces flawed interpretations. Moving forward, recession analysis using individual recessions should be used to describe the average and variability of watershed behavior.
Recession analysis uses the receding streamflow following precipitation events to estimate...
