87 citations as recorded by crossref.

1. An analysis of trends in baseflow recession and low-flows in rain-dominated coastal streams of the pacific coast S. Sawaske & D. Freyberg 10.1016/j.jhydrol.2014.07.046
2. Long-term decline in rainfall causing depletion in groundwater aquifer storage sustaining the springflow in the middle-Himalayan headwaters S. Tarafdar & S. Dutta 10.1007/s12040-023-02136-8
3. Objective hydrograph baseflow recession analysis B. Thomas et al. 10.1016/j.jhydrol.2015.03.028
4. Using Two Parallel Linear Reservoirs to Express Multiple Relations of Power-Law Recession Curves M. Gao et al. 10.1061/(ASCE)HE.1943-5584.0001518
5. Impact of climate and NDVI changes on catchment storage–discharge dynamics in southern Taiwan C. Huang & H. Yeh 10.1080/02626667.2022.2114835
6. Quantifying the impacts of vegetation changes on catchment storage‐discharge dynamics using paired‐catchment data L. Cheng et al. 10.1002/2017WR020600
7. Streamflow recession patterns can help unravel the role of climate and humans in landscape co-evolution P. Bogaart et al. 10.5194/hess-20-1413-2016
8. A synthetic study to evaluate the utility of hydrological signatures for calibrating a base flow separation filter C. Su et al. 10.1002/2015WR018177
9. An Objective Time‐Series‐Analysis Method for Rainfall‐Runoff Event Identification G. Giani et al. 10.1029/2021WR031283
10. 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
11. Recession constants are non-stationary: Impacts of multi-annual drought on catchment recession behaviour and storage dynamics L. Trotter et al. 10.1016/j.jhydrol.2024.130707
12. Karst spring recession and classification: efficient, automated methods for both fast- and slow-flow components T. Olarinoye et al. 10.5194/hess-26-5431-2022
13. Improved streamflow recession parameter estimation with attention to calculation of − dQ/dt C. Roques et al. 10.1016/j.advwatres.2017.07.013
14. Analysing individual recession events: sensitivity of parameter determination to the calculation procedure B. Chen & W. Krajewski 10.1080/02626667.2016.1170940
15. Comments about selected recession parameters A. Rutledge 10.1111/1752-1688.13136
16. Evaluation of basin storage–discharge sensitivity in Taiwan using low‐flow recession analysis H. Yeh & C. Huang 10.1002/hyp.13411
17. Evaluating the effect of partial contributing storage on the storage–discharge function from recession analysis X. Chen & D. Wang 10.5194/hess-17-4283-2013
18. Catchment response times – understanding runoff dynamics from catchment distances and celerities T. Skaugen et al. 10.1080/02626667.2023.2201449
19. Characterizing hydrograph recessions from satellite-derived soil moisture S. Basso et al. 10.1016/j.scitotenv.2020.143469
20. Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182
21. Streamflow sensitivity to water storage changes across Europe W. Berghuijs et al. 10.1002/2016GL067927
22. Soil frost effects on streamflow recessions in a subarctic catchment S. Ploum et al. 10.1002/hyp.13401
23. Regional low-flow frequency analysis with a recession parameter from a non-linear reservoir model C. Charron & T. Ouarda 10.1016/j.jhydrol.2015.03.005
24. Estimation of Active Stream Network Length in a Hilly Headwater Catchment Using Recession Flow Analysis W. Li et al. 10.3390/w9050348
25. Estimating shallow groundwater availability in small catchments using streamflow recession and instream flow requirements of rivers in South Africa G. Ebrahim & K. Villholth 10.1016/j.jhydrol.2016.07.032
26. A new method for effective parameterization of catchment-scale aquifer through event-scale recession analysis M. Hong & B. Mohanty 10.1016/j.advwatres.2023.104408
27. Uncertainty in hydrological signatures I. Westerberg & H. McMillan 10.5194/hess-19-3951-2015
28. Catchment water storage variation with elevation M. Staudinger et al. 10.1002/hyp.11158
29. Event-scale power law recession analysis: quantifying methodological uncertainty D. Dralle et al. 10.5194/hess-21-65-2017
30. Recession flow prediction in gauged and ungauged basins by just considering past discharge information C. Reddyvaraprasad et al. 10.1080/02626667.2019.1643465
31. Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model A. Santos et al. 10.1002/hyp.13425
32. Master Recession Curve Parameterization Tool (MRCPtool): Different approaches to recession curve analysis T. Carlotto & P. Chaffe 10.1016/j.cageo.2019.06.016
33. Tracer-aided assessment of catchment groundwater dynamics and residence time R. Zhu et al. 10.1016/j.jhydrol.2021.126230
34. 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
35. Promising new baseflow separation and recession analysis methods applied to streamflow at Glendhu Catchment, New Zealand M. Stewart 10.5194/hess-19-2587-2015
36. A Framework for Dry Period Low Flow Forecasting in Mediterranean Streams K. Risva et al. 10.1007/s11269-018-2060-z
37. Watershed‐Scale Effective Hydraulic Properties of the Continental United States A. Tashie et al. 10.1029/2020MS002440
38. The Role of Climate in Monthly Baseflow Changes across the Continental United States J. Ayers et al. 10.1061/(ASCE)HE.1943-5584.0002170
39. Universal recession constants and their potential to predict recession flow D. Sharma et al. 10.1016/j.jhydrol.2023.130244
40. Baseflow and transmission loss: A review T. McMahon & R. Nathan 10.1002/wat2.1527
41. Reply to Comment by Roques et al. on “Base Flow Recession from Unsaturated‐Saturated Porous Media considering Lateral Unsaturated Discharge and Aquifer Compressibility” X. Liang et al. 10.1002/2017WR022378
42. An Empirical Reevaluation of Streamflow Recession Analysis at the Continental Scale A. Tashie et al. 10.1029/2019WR025448
43. Recession analysis revisited: impacts of climate on parameter estimation E. Jachens et al. 10.5194/hess-24-1159-2020
44. Impact of reservoirs on baseflow recession analysis: a case study of the Chaersen Reservoir in Northeast China W. Yang et al. 10.1080/02626667.2021.1906426
45. Sharing perceptual models of uncertainty: On the use of soft information about discharge data I. Westerberg & R. Karlsen 10.1002/hyp.15145
46. Freezing Temperature Controls Winter Water Discharge for Cold Region Watershed S. Wang 10.1029/2019WR026030
47. Understanding event runoff coefficient variability across Australia using the hydroEvents R package C. Wasko & D. Guo 10.1002/hyp.14563
48. Indirect Methods to Elucidate Water Flows and Contaminant Transfer Pathways through Meso-scale Catchments – a Review S. Singh & R. Stenger 10.1007/s40710-018-0331-6
49. A probabilistic framework for robust master recession curve parameterization M. Gao et al. 10.1016/j.jhydrol.2023.129922
50. RETRACTED: Identifying baseflow source areas using remotely sensed and ground‐based hydrologic data A. Ahamed et al. 10.1002/hyp.15056
51. Predicting hourly flows at ungauged small rural catchments using a parsimonious hydrological model A. Tsegaw et al. 10.1016/j.jhydrol.2019.03.090
52. Estimating catchment-scale groundwater dynamics from recession analysis – enhanced constraining of hydrological models T. Skaugen & Z. Mengistu 10.5194/hess-20-4963-2016
53. Mediating stream baseflow response to climate change: The role of basin storage J. Buttle 10.1002/hyp.11418
54. Including Regional Knowledge Improves Baseflow Signature Predictions in Large Sample Hydrology S. Gnann et al. 10.1029/2020WR028354
55. A proposed composite Boussinesq equation for estimating baseflow recessions and storage-outflow relationship M. Alattar & T. Troy 10.1016/j.jhydrol.2023.130321
56. Snow to Precipitation Ratio Controls Catchment Storage and Summer Flows in Boreal Headwater Catchments L. Meriö et al. 10.1029/2018WR023031
57. Landscape structures regulate the contrasting response of recession along rainfall amounts J. Lee et al. 10.5194/hess-27-4279-2023
58. Your work is my boundary condition! M. Staudinger et al. 10.1016/j.jhydrol.2019.01.058
59. Comparing Master Recession Curve Shapes Between Linear and Exponential Reservoir Models B. Latuamury et al. 10.21523/gcj5.22060202
60. Spatial Patterns and Drivers of Nonperennial Flow Regimes in the Contiguous United States J. Hammond et al. 10.1029/2020GL090794
61. Recession curve power-law exponent estimation: is there a perfect approach? D. Sharma & B. Biswal 10.1080/02626667.2022.2070022
62. HYDRORECESSION: A Matlab toolbox for streamflow recession analysis S. Arciniega-Esparza et al. 10.1016/j.cageo.2016.10.005
63. Estimation of ‘drainable’ storage – A geomorphological approach B. Biswal & D. Nagesh Kumar 10.1016/j.advwatres.2014.12.009
64. Event‐Based Recession Analysis for Estimation of Basin‐Wide Characteristic Drainage Timescale and Groundwater Storage Trends M. Hameed et al. 10.1029/2023WR035829
65. Can storage-discharge characteristics of karst matrix system quantified through recession analysis be reliable? R. Zhang et al. 10.1016/j.jhydrol.2024.132378
66. Regionalization of subsurface stormflow parameters of hydrologic models: Derivation from regional analysis of streamflow recession curves S. Ye et al. 10.1016/j.jhydrol.2014.07.017
67. Technical note: Cascade of submerged reservoirs as a rainfall–runoff model J. Kurnatowski 10.5194/hess-21-4649-2017
68. Hydrograph recession extraction algorithm (HYDRA): Minimizing influence of stage uncertainty in identification of recession events B. Thomas 10.1016/j.advwatres.2021.103937
69. Representing Bidirectional Hydraulic Continuum Between the Stream and Hillslope in the National Water Model for Improved Streamflow Prediction M. Hong & B. Mohanty 10.1029/2022MS003325
70. Large Scale Evaluation of Relationships Between Hydrologic Signatures and Processes H. McMillan et al. 10.1029/2021WR031751
71. Transpiration and subsurface controls of streamflow recession characteristics A. Tashie et al. 10.1002/hyp.13530
72. Characterizing the groundwater storage–discharge relationship of small catchments in China H. Yan et al. 10.2166/nh.2022.023
73. A modified simple dynamic model: Derived from the information embedded in observed streamflows W. Li & J. Nieber 10.1016/j.jhydrol.2017.06.014
74. Baseflow estimation based on a self-adaptive non-linear reservoir algorithm in a rainy watershed of eastern China S. He et al. 10.1016/j.jenvman.2023.117379
75. A comparison of watershed storage trends over the eastern and upper Midwestern regions of the United States, 2003–2015 B. Thomas et al. 10.1002/2016WR018617
76. The Demographics of Water: A Review of Water Ages in the Critical Zone M. Sprenger et al. 10.1029/2018RG000633
77. Land cover influence on catchment scale subsurface water storage investigated by multiple methods: Implications for UK Natural Flood Management L. Peskett et al. 10.1016/j.ejrh.2023.101398
78. A study of non-linearity in rainfall-runoff response using 120 UK catchments S. Mathias et al. 10.1016/j.jhydrol.2016.06.039
79. Rainbow color map distorts and misleads research in hydrology – guidance for better visualizations and science communication M. Stoelzle & L. Stein 10.5194/hess-25-4549-2021
80. Extraction Method of Baseflow Recession Segments Based on Second-Order Derivative of Streamflow and Comparison with Four Conventional Methods W. Yang et al. 10.3390/w12071953
81. Predicting baseflow recession characteristics at ungauged stream locations using a physical and machine learning approach K. Eng et al. 10.1016/j.advwatres.2023.104440
82. Spatial variability of hydrological processes and model structure diagnostics in a 50 km2catchment H. McMillan et al. 10.1002/hyp.9988
83. Evaluation of storage–discharge relationships and recession analysis-based distributed hourly runoff simulation in large-scale, mountainous and snow-influenced catchment T. Hailegeorgis et al. 10.1080/02626667.2016.1170939
84. The impact of climate change, human interference, scale and modeling uncertainties on the estimation of aquifer properties and river flow components R. Santos et al. 10.1016/j.jhydrol.2014.09.001
85. a, b careful: The challenge of scale invariance for comparative analyses in power law models of the streamflow recession D. Dralle et al. 10.1002/2015GL066007
86. Recession flow analysis as a suitable tool for hydrogeological parameter determination in steep, arid basins R. Oyarzún et al. 10.1016/j.jaridenv.2014.02.012
87. Baseflow recession analysis in the inland Pacific Northwest of the United States R. Sánchez-Murillo et al. 10.1007/s10040-014-1191-4