58 citations as recorded by crossref.

1. Characterization of Basin-Scale Dynamic Storage–Discharge Relationship Using Daily GRACE Based Storage Anomaly Data D. Sharma et al.
2. A review of hydrologic signatures and their applications H. McMillan
3. Event‐Based Recession Analysis for Estimation of Basin‐Wide Characteristic Drainage Timescale and Groundwater Storage Trends M. Hameed et al.
4. Atmospheric dynamics of extreme discharge events from 1979 to 2016 in the southern Central Andes F. Castino et al.
5. Baseflow estimation based on a self-adaptive non-linear reservoir algorithm in a rainy watershed of eastern China S. He et al.
6. Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model A. Santos et al.
7. Revegetation impacts on the flow characteristics in the Loess Plateau S. Ye et al.
8. Decorrelation is not dissociation: There is no means to entirely decouple the Brutsaert-Nieber parameters in streamflow recession analysis B. Biswal
9. Seasonal growth potential of Oncorhynchus mykiss in streams with contrasting prey phenology and streamflow G. Rossi et al.
10. The key drivers of streamflow recession variability and their implications for robust parameterization of recession processes M. Gao et al.
11. Soil frost effects on streamflow recessions in a subarctic catchment S. Ploum et al.
12. Characterizing hydrograph recessions from satellite-derived soil moisture S. Basso et al.
13. A multiple hydrograph separation technique for identifying hydrological model structures and an interpretation of dominant process controls on flow duration curves C. Leong & Y. Yokoo
14. When good signatures go bad: Applying hydrologic signatures in large sample studies H. McMillan et al.
15. Landscape structures regulate the contrasting response of recession along rainfall amounts J. Lee et al.
16. baseflow: a MATLAB and GNU Octave package for baseflow recession analysis M. Cooper & T. Zhou
17. Hydrograph recession extraction algorithm (HYDRA): Minimizing influence of stage uncertainty in identification of recession events B. Thomas
18. A statistical approach for identifying factors governing streamflow recession behaviour H. Li & A. Ameli
19. Long-term decline in rainfall causing depletion in groundwater aquifer storage sustaining the springflow in the middle-Himalayan headwaters S. Tarafdar & S. Dutta
20. Recession analysis revisited: impacts of climate on parameter estimation E. Jachens et al.
21. Derivation and analysis of spatial variability in master recession curves with mixed effects model B. Chen et al.
22. Changes in nonlinearity and stability of streamflow recession characteristics under climate warming in a large glaciated basin of the Tibetan Plateau J. Wang et al.
23. Detecting Permafrost Active Layer Thickness Change From Nonlinear Baseflow Recession M. Cooper et al.
24. An improved method to estimate the rate of change of streamflow recession and basin synthetic recession parameters from hydrographs M. Gao et al.
25. Recession curve power-law exponent estimation: is there a perfect approach? D. Sharma & B. Biswal
26. Hydrograph and recession flows simulations using deep learning: Watershed uniqueness and objective functions A. Gupta & S. McKenna
27. Estimating hydraulic properties and residence times of unconfined aquifers T. McMahon & R. Nathan
28. Catchment processes can amplify the effect of increasing rainfall variability M. Müller et al.
29. Recession flow prediction in gauged and ungauged basins by just considering past discharge information C. Reddyvaraprasad et al.
30. Watershed‐Scale Effective Hydraulic Properties of the Continental United States A. Tashie et al.
31. Increasing non‐linearity of the storage‐discharge relationship in sub‐Arctic catchments A. Hinzman et al.
32. Inferring heavy tails of flood distributions through hydrograph recession analysis H. Wang et al.
33. An Empirical Reevaluation of Streamflow Recession Analysis at the Continental Scale A. Tashie et al.
34. Baseflow and transmission loss: A review T. McMahon & R. Nathan
35. Universal recession constants and their potential to predict recession flow D. Sharma et al.
36. Impact of climate and NDVI changes on catchment storage–discharge dynamics in southern Taiwan C. Huang & H. Yeh
37. The Role of Inflow and Infiltration (I/I) in Urban Water Balances and Streamflow Regimes: A Hydrograph Analysis Along the Sewershed‐Watershed Continuum K. Zhang et al.
38. Foraging modes and movements of Oncorhynchus mykiss as flow and invertebrate drift recede in a California stream G. Rossi et al.
39. Evaluation of seasonal catchment dynamic storage components using an analytical streamflow duration curve model C. Huang & H. Yeh
40. Storage-Discharge Relationships under Forest Cover Change in Ethiopian Highlands S. Gebrehiwot et al.
41. A new method for effective parameterization of catchment-scale aquifer through event-scale recession analysis M. Hong & B. Mohanty
42. Groundwater storage changes in the United States using baseflow recession method: Comparison with GRACE and well observations M. Hameed et al.
43. Transpiration and subsurface controls of streamflow recession characteristics A. Tashie et al.
44. A Nonlinear Recession Model for Horizontal Aquifers H. Basha
45. Representing Bidirectional Hydraulic Continuum Between the Stream and Hillslope in the National Water Model for Improved Streamflow Prediction M. Hong & B. Mohanty
46. On the Effect of Nonlinear Recessions on Low Flow Variability: Diagnostic of an Analytical Model for Annual Flow Duration Curves N. Karst et al.
47. Flow dynamics at the continental scale: Streamflow correlation and hydrological similarity A. Betterle et al.
48. A probabilistic framework for robust master recession curve parameterization M. Gao et al.
49. Constructing a geography of heavy-tailed flood distributions: insights from common streamflow dynamics H. Wang et al.
50. Streamflow Recession Analysis Using Water Height E. Jachens et al.
51. A proposed composite Boussinesq equation for estimating baseflow recessions and storage-outflow relationship M. Alattar & T. Troy
52. Spatial and Temporal Patterns in Baseflow Recession in the Continental United States A. Tashie et al.
53. Time‐Variability of Flow Recession Dynamics: Application of Machine Learning and Learning From the Machine M. Kim et al.
54. Stochastic modeling of interannual variation of hydrologic variables D. Dralle et al.
55. Age‐Ranked Storage‐Discharge Relations: A Unified Description of Spatially Lumped Flow and Water Age in Hydrologic Systems C. Harman
56. Predicting baseflow recession characteristics at ungauged stream locations using a physical and machine learning approach K. Eng et al.
57. More Frequent Runoff and Connected Sources in Headwaters Promote Browning of Northern Freshwaters S. Basso et al.
58. Exploring hydrological recession dynamics through reference hydrological networks in the UK R. Hao et al.