120 citations as recorded by crossref.

1. Regime-related regularities in river flow revealed by Aksentijevic-Gibson complexity A. Aksentijevic et al.
2. Analysis of daily streamflow complexity by Kolmogorov measures and Lyapunov exponent D. Mihailović et al.
3. Complexity of hydrologic basins: A chaotic dynamics perspective M. Ombadi et al.
4. A Process‐Based Framework to Characterize and Classify Runoff Events: The Event Typology of Germany L. Tarasova et al.
5. Analysis of precipitation–runoff relationships in Iran: a case study in Karoon sub-basins in south-western Iran K. Ostad-Ali-Askari et al.
6. Complexity analysis of the turbulent environmental fluid flow time series D. Mihailović et al.
7. Probabilistic Prediction for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods Y. Fan et al.
8. Temporal streamflow analysis: Coupling nonlinear dynamics with complex networks N. Yasmin & B. Sivakumar
9. Technical note: “Bit by bit”: a practical and general approach for evaluating model computational complexity vs. model performance E. Azmi et al.
10. Wavelet Spectrum and Self-Organizing Maps-Based Approach for Hydrologic Regionalization -a Case Study in the Western United States A. Agarwal et al.
11. Ensemble machine learning (EML) based regional flood frequency analysis model development and testing for south-east Australia N. Afrin et al.
12. Linking the North Atlantic Oscillation to rainfall variability and dynamics in Algeria through GIS and wavelet theory B. Zerouali et al.
13. Complex networks, community structure, and catchment classification in a large-scale river basin K. Fang et al.
14. Nonlinear dynamics of stream nutrient concentrations: low dimensionality, structured complexity, and seasonal predictability horizon W. Bin Mamoon et al.
15. An inter-comparison of similarity-based methods for organisation and classification of groundwater hydrographs E. Haaf & R. Barthel
16. Is there an underestimation of long-term variability of streamflow across the continental United States? Y. Sang et al.
17. Characterizing the nonlinear dynamics of hydrological systems based on global recurrence analysis S. Yu et al.
18. Monthly and seasonal streamflow forecasting of large dryland catchments in Brazil A. Costa et al.
19. Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters A. Rajib et al.
20. Streamflow Hydrology Estimate Using Machine Learning (SHEM) T. Petty & P. Dhingra
21. Dry spells in a semi-arid region of Brazil and their influence on maize productivity D. Nogueira et al.
22. Simultaneous calibration of hydrological models in geographical space A. Bárdossy et al.
23. Complexity of streamflows in the west-flowing rivers of India C. Srivalli et al.
24. Predictive Performance of Ensemble Learning Boosting Techniques in Daily Streamflow Simulation D. Chandran & N. Chithra
25. Improved understanding of tropical urban catchment hydrology by SWMM modeling and sensitivity analysis: a case study of Udon Thani City, Thailand F. Ahmed et al.
26. Use of Cokriging and Map Correlation to Study Hydrological Response Patterns and Select Reference Stream Gauges for Ungauged Catchments M. Zelelew & K. Alfredsen
27. Contrasting storage-flux-age interactions revealed by catchment inter-comparison using a tracer-aided runoff model T. Piovano et al.
28. Spatio-temporal connections in streamflow: a complex networks-based approach N. Yasmin & B. Sivakumar
29. A simplified approach for the hydrological simulation of urban drainage systems with SWMM A. Farina et al.
30. Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes S. Kim et al.
31. Fully nonlinear statistical and machine‐learning approaches for hydrological frequency estimation at ungauged sites D. Ouali et al.
32. Streamflow variability and classification using false nearest neighbor method R. Vignesh et al.
33. Chaos arising from the hydrological behaviour of a floodplain river during the last century F. Giri & M. Devercelli
34. Technical note: Complexity–uncertainty curve (c-u-curve) – a method to analyse, classify and compare dynamical systems U. Ehret & P. Dey
35. Encoding daily rainfall records via adaptations of the fractal multifractal method M. Maskey et al.
36. Identifying complex networks and operating scenarios for cascade water reservoirs for mitigating drought and flood impacts K. Ren et al.
37. Examining the pluvial to nival river regime spectrum using nonlinear methods: Minimum delay embedding dimension N. Aksamit & P. Whitfield
38. Complexity of hydrometeorological variables: false nearest neighbour algorithm N. Saji et al.
39. Study of the Spatiotemporal Characteristics of Meltwater Contribution to the Total Runoff in the Upper Changjiang River Basin Y. Fang et al.
40. Detrended fluctuation analysis and entropy-complexity causality analysis of temperatures in an urbanized mountain stream C. Thaxton et al.
41. Multi-Spatial Resolution Rainfall-Runoff Modelling—A Case Study of Sabari River Basin, India V. Sharma & S. Regonda
42. Hydrologically informed machine learning for rainfall–runoff modelling: towards distributed modelling H. Herath et al.
43. The coupling impact of climate change on streamflow complexity in the headwater area of the northeastern Tibetan Plateau across multiple timescales S. Shen et al.
44. Complex adaptive systems-based framework for modeling the health impacts of climate change B. Talukder et al.
45. Shannon Entropy for Measuring Spatial Complexity Associated with Mean Annual Runoff of Tertiary Catchments of the Middle Vaal Basin in South Africa M. Ilunga
46. Impact of complexity on daily and multi-step forecasting of streamflow with chaotic, stochastic, and black-box models H. Tongal & R. Berndtsson
47. Changes in streamflow statistical structure across the United States due to recent climate change A. Gupta et al.
48. Velocities, celerities and the basin of attraction in catchment response K. Beven & J. Davies
49. Hydrologic regionalization using wavelet-based multiscale entropy method A. Agarwal et al.
50. Modeling of flood extremes using regional frequency analysis of sites of Khyber Pakhtunkhwa, Pakistan M. Khan et al.
51. Conceptualizing catchment storage dynamics and nonlinearities M. Maneta et al.
52. Analysis of Drought Length using the BDS statistic and Close Returns Test S. Kim et al.
53. Regional Frequency Analysis of Precipitation Using Time Series Clustering Approaches H. Zaifoglu et al.
54. Investigating the Spatiotemporal Complexity of Rainfall from a Chaotic Perspective: Case Study in the Jinsha River Basin, China S. Yu et al.
55. An intelligent algorithm to fast and accurately detect chaotic correlation dimension M. Shen et al.
56. Regional hydrological frequency analysis at ungauged sites with random forest regression S. Desai & T. Ouarda
57. Development of PCA-based cluster quantile regression (PCA-CQR) framework for streamflow prediction: Application to the Xiangxi river watershed, China Y. Fan et al.
58. Assessing the degree of hydrologic stress due to climate change R. Nathan et al.
59. A Clustering Preprocessing Framework for the Subannual Calibration of a Hydrological Model Considering Climate‐Land Surface Variations T. Lan et al.
60. Catchment classification using community structure concept: application to two large regions S. Tumiran & B. Sivakumar
61. Noise Reduction Analysis of Radar Rainfall Using Chaotic Dynamics and Filtering Techniques S. Kim et al.
62. Consequences of Continuous Zero Values and Constant Values in Time Series Modeling: Understanding through Chaotic Approach T. Fathima & V. Jothiprakash
63. Analysis of hydrological processes with non-linear methods M. Kędra
64. Nonlinear analysis of rainfall variability in Australia B. Sivakumar et al.
65. Nonlinear Riparian Interactions Drive Changes in Headwater Streamflow S. Newcomb & S. Godsey
66. Networks: a generic theory for hydrology? B. Sivakumar
67. Development of a convolutional neural network based regional flood frequency analysis model for South-east Australia N. Afrin et al.
68. Identifying Hydrologic Regimes and Drivers in Nova Scotia, Canada: Catchment Classification Efforts for a Data-Limited Region L. Johnston et al.
69. Incorporating climate model similarities and hydrologic error models to quantify climate change impacts on future riverine flood risk K. Ahn & Y. Kim
70. Flood‐type classification in mountainous catchments using crisp and fuzzy decision trees A. Sikorska et al.
71. Towards simplification of hydrologic modeling: identification of dominant processes S. Markstrom et al.
72. A Nonlinear Local Approximation Approach for Catchment Classification S. Khan & B. Sivakumar
73. Sediment load complexity downstream of the Three Gorges Project via the multiscale entropy analysis method M. Shen et al.
74. On the complexity of model complexity: Viewpoints across the geosciences J. Baartman et al.
75. Quantifying Predictability and Information Transfer in Rainfall-Runoff Process C. Di et al.
76. Investigating variation characteristics and driving forces of lake water level complexity in a complex river–lake system F. Huang et al.
77. Study of temporal streamflow dynamics with complex networks: network construction and clustering N. Yasmin & B. Sivakumar
78. Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain G. Astray et al.
79. Evidence for deterministic chaos in long-term high-resolution karstic streamflow time series D. Labat et al.
80. Evaluating the role of evapotranspiration remote sensing data in improving hydrological modeling predictability M. Herman et al.
81. Tsallis Entropy for Assessing Spatial Uncertainty Associated with Mean Annual Runoff of Quaternary Catchments of the Middle Vaal Basin in South Africa M. Ilunga
82. Spectral analysis of temporal variability of nonlinear and nonstationary rainfall-runoff processes C. Chang et al.
83. An integrated regionalization framework for incorporating flood seasonality into agricultural flood risk assessments A. Scorzini et al.
84. Catchment Classification Framework in Hydrology: Challenges and Directions B. Sivakumar et al.
85. A calibration framework for distributed hydrological models considering spatiotemporal parameter variations Y. Liu et al.
86. Complexity–entropy analysis of daily stream flow time series in the continental United States F. Serinaldi et al.
87. Temporal dynamics of streamflow: application of complex networks X. Han et al.
88. Classification of hydrological parameter sensitivity and evaluation of parameter transferability across 431 US MOPEX basins H. Ren et al.
89. Performance Analysis of Artificial Neural Network Models in Water Level Forecasting L. Velasco et al.
90. Entropy analysis for spatiotemporal variability of seasonal, low, and high streamflows H. Tongal & B. Sivakumar
91. Investigating anthropically induced effects in streamflow dynamics by using permutation entropy and statistical complexity analysis: A case study T. Stosic et al.
92. Daily Flow Forecasting based on Deterministic and Stochastic Features D. Kim et al.
93. Parallelization of a two-dimensional time-area watershed routing Y. Her et al.
94. Land use/land cover changes and its impact on runoff using SWAT model in the upper Prek Thnot watershed in Cambodia N. Khorn et al.
95. Identifying Causal Interactions Between Groundwater and Streamflow Using Convergent Cross‐Mapping G. Bonotto et al.
96. Watershed classification by remote sensing indices: A fuzzy c-means clustering approach B. Choubin et al.
97. Technical note: An improved Grassberger–Procaccia algorithm for analysis of climate system complexity C. Di et al.
98. Assessment and Combination of SMAP and Sentinel-1A/B-Derived Soil Moisture Estimates With Land Surface Model Outputs in the Mid-Atlantic Coastal Plain, USA H. Kim et al.
99. The Influence of Cascade Dams on Multifractality of River Flow T. Stosic et al.
100. A hybrid wavelet analysis–cloud model data‐extending approach for meteorologic and hydrologic time series D. Wang et al.
101. Zoning technology for the management of ecological and clean small-watersheds via k-means clustering and entropy-weighted TOPSIS: A case study in Beijing X. Li et al.
102. A Canberra distance-based complex network classification framework using lumped catchment characteristics P. Istalkar et al.
103. Daily Streamflow of Argentine Rivers Analysis Using Information Theory Quantifiers M. Suriano et al.
104. Unveiling spring behaviour through copula-based inter-spring connectivity in the Central Himalaya S. Mukherjee et al.
105. Ordinal pattern and statistical complexity analysis of daily stream flow time series H. Lange et al.
106. Cross-entropy clustering framework for catchment classification H. Tongal & B. Sivakumar
107. Deterministic chaotic dynamics in soil moisture across Nebraska C. Di et al.
108. Long-term river water temperature reconstruction and investigation: A case study of the Dongting Lake Basin, China F. Huang et al.
109. Exploring spatiotemporal chaos in hydrological data: evidence from Ceará, Brazil L. Rolim & F. de Souza Filho
110. Fisher Shannon analysis of drought/wetness episodes along a rainfall gradient in Northeast Brazil A. da Silva et al.
111. Technical note: Long-term persistence loss of urban streams as a metric for catchment classification D. Jovanovic et al.
112. Detecting causal relationship of non-floodplain wetland hydrologic connectivity using convergent cross mapping S. Lee et al.
113. Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response M. Bartlett et al.
114. Complex networks for streamflow dynamics B. Sivakumar & F. Woldemeskel
115. Linear vs. Non-Linear Regional Flood Estimation Models in New South Wales, Australia N. Afrin et al.
116. Data‐Driven Estimation of Groundwater Level Time‐Series at Unmonitored Sites Using Comparative Regional Analysis E. Haaf et al.
117. Hysteresis in streamflow‐water table relation provides a new classification system of rainfall‐runoff events Y. Gelmini et al.
118. Application of Nonlinear Time Series and Machine Learning Algorithms for Forecasting Groundwater Flooding in a Lowland Karst Area B. Basu et al.
119. Monthly streamflow forecasting for the Hunza River Basin using machine learning techniques S. Khan et al.
120. Selection of representative indicators for flood risk assessment using marginal entropy and mutual information H. Joo et al.