95 citations as recorded by crossref.

1. Spatiotemporal patterns of sediment transport rate and beach–ocean profile for multi-hazard risk management S. Khorram & M. Ergil
2. HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool E. Moges et al.
3. Performance Metrics, Error Modeling, and Uncertainty Quantification Y. Tian et al.
4. Parameter estimation and uncertainty analysis in hydrological modeling P. Herrera et al.
5. Pointwise and Complex Quality Metrics in Atmospheric Modeling: Methods and Approaches V. Rezvov et al.
6. Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes G. Papacharalampous et al.
7. Overcoming the Challenges of an Uncertain Future with Enhanced Climate Information and Services D. Kim et al.
8. An entropy approach for the optimization of cross-section spacing for river modelling E. Ridolfi et al.
9. Robust informational entropy-based descriptors of flow in catchment hydrology I. Pechlivanidis et al.
10. Parameter Sensitivity of a Surface Water Quality Model of the Lower South Saskatchewan River—Comparison Between Ice-On and Ice-Off Periods N. Hosseini et al.
11. A topographic index explaining hydrological similarity by accounting for the joint controls of runoff formation R. Loritz et al.
12. Dependency and Redundancy: How Information Theory Untangles Three Variable Interactions in Environmental Data S. Weijs et al.
13. An Overview of Applications of Proper Scoring Rules A. Carvalho
14. Parsimony vs predictive and functional performance of three stomatal optimization principles in a big‐leaf framework M. Bassiouni & G. Vico
15. Performance assessment of a Bayesian Forecasting System (BFS) for real-time flood forecasting D. Biondi & D. De Luca
16. A step toward global-scale applicability and transferability of flow duration curve studies: A flow duration curve review (2000–2020) C. Leong & Y. Yokoo
17. Tree structure generation from ensemble forecasts for real time control L. Raso et al.
18. A Mutual Information Theory‐Based Approach for Assessing Uncertainties in Deterministic Multi‐Category Precipitation Forecasts Y. Ning et al.
19. A strategy for diagnosing and interpreting hydrological model nonstationarity S. Westra et al.
20. Ensemble Forecasts: Probabilistic Seasonal Forecasts Based on a Model Ensemble H. Aizenman et al.
21. Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models K. Beven & P. Smith
22. Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures A. Gupta et al.
23. How to evaluate a monitoring system for adaptive policies: criteria for signposts selection and their model-based evaluation L. Raso et al.
24. An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models R. Taormina et al.
25. Improving probabilistic streamflow predictions through a nonparametric residual error model J. Liang et al.
26. A short history of philosophies of hydrological model evaluation and hypothesis testing K. Beven
27. POINT-BY-POINT AND COMPLEX QUALITY METRICS IN ATMOSPHERE AND OCEAN RESEARCH: REVIEW OF METHODS AND APPROACHES V. Rezvov et al.
28. Shannon Entropy for Measuring Spatial Complexity Associated with Mean Annual Runoff of Tertiary Catchments of the Middle Vaal Basin in South Africa M. Ilunga
29. Comparing expert judgement and numerical criteria for hydrograph evaluation L. Crochemore et al.
30. Entropy analysis for spatiotemporal variability of seasonal, low, and high streamflows H. Tongal & B. Sivakumar
31. The Value of Subseasonal Hydrometeorological Forecasts to Hydropower Operations: How Much Does Preprocessing Matter? D. Anghileri et al.
32. Spatiotemporal Variation in Total Sediment Load Concentration and Related Factors of Shoreline Waters Based on Disorder Power Index S. Khorram & F. Ghasemi
33. Use of an entropy‐based metric in multiobjective calibration to improve model performance I. Pechlivanidis et al.
34. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al.
35. Evaluating Ecohydrological Model Sensitivity to Input Variability with an Information-Theory-Based Approach M. Farahani et al.
36. On the dynamic nature of hydrological similarity R. Loritz et al.
37. Generalization of the Ignorance Score: Continuous Ranked Version and Its Decomposition J. Tödter & B. Ahrens
38. Transfer Entropy as a Tool for Hydrodynamic Model Validation A. Sendrowski et al.
39. Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models G. Papacharalampous et al.
40. Information Content of Seasonal Forecasts in a Changing Climate N. Krakauer et al.
41. Heterogeneity measures in hydrological frequency analysis: review and new developments A. Requena et al.
42. The Potential Utility of Satellite Soil Moisture Retrievals for Detecting Irrigation Patterns in China X. Zhang et al.
43. Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS H. Tyralis et al.
44. Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin I. Mares et al.
45. Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale G. Papacharalampous et al.
46. A Hybrid Approach Integrating Entropy-AHP and GIS for Suitability Assessment of Urban Emergency Facilities P. Nyimbili & T. Erden
47. A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models K. Beven
48. Bayesian inference and predictive performance of soil respiration models in the presence of model discrepancy A. Elshall et al.
49. A Comprehensive Survey on Driving Compliance Assessment Methodologies for Autonomous Vehicles S. Zhang et al.
50. A review of efficiency criteria suitable for evaluating low-flow simulations R. Pushpalatha et al.
51. Validation of a model with climatic and flow scenario analysis: case of Lake Burrumbeet in southeastern Australia Y. Yihdego & J. Webb
52. Data compression to define information content of hydrological time series S. Weijs et al.
53. Rainfall nowcasting models: state of the art and possible future perspectives D. De Luca et al.
54. Principle of maximum entropy in the estimation of suspended sediment concentration P. Martins & C. Poleto
55. Water Temperature Ensemble Forecasts: Implementation Using the CEQUEAU Model on Two Contrasted River Systems S. Ouellet-Proulx et al.
56. Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework E. Solazzo et al.
57. Probabilistic Forecasts: Scoring Rules and Their Decomposition and Diagrammatic Representation via Bregman Divergences G. Hughes & C. Topp
58. Quantifying the impact of different precipitation data sources on hydrological modeling processes in arid basin using transfer entropy Q. Bao et al.
59. Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions G. Nearing et al.
60. Augmentation of groundwater monitoring networks using information theory and ensemble modeling with pedotransfer functions A. Yakirevich et al.
61. A Value‐Based Model Selection Approach for Environmental Random Variables M. Müller & S. Thompson
62. Benchmarking and Process Diagnostics of Land Models G. Nearing et al.
63. An information-theoretical perspective on weighted ensemble forecasts S. Weijs & N. van de Giesen
64. HydroZIP: How Hydrological Knowledge can Be Used to Improve Compression of Hydrological Data S. Weijs et al.
65. Effectiveness of Entropy Weight Method in Decision-Making Y. Zhu et al.
66. Physics-Informed Bayesian Markov random field approach for road flooding inference from sparse post-disaster observations S. Cao et al.
67. Quantification of the information content of Darcy fluxes associated with hydraulic conductivity fields evaluated at diverse scales A. Dell'Oca et al.
68. Augmenting geophysical interpretation of data-driven operational water supply forecast modeling for a western US river using a hybrid machine learning approach S. Fleming et al.
69. Uncertainty quantification in watershed hydrology: Which method to use? A. Gupta & R. Govindaraju
70. The quantity and quality of information in hydrologic models G. Nearing & H. Gupta
71. A philosophical basis for hydrological uncertainty G. Nearing et al.
72. Improving the evaluation of hydrological multi-model forecast performance in the Upper Danube Catchment K. Bogner et al.
73. Entropy of hydrological systems under small samples: Uncertainty and variability D. Liu et al.
74. Characterising performance of environmental models N. Bennett et al.
75. Uncertainty estimation with deep learning for rainfall–runoff modeling D. Klotz et al.
76. The implication of information theory for estimating and detangling hydrological modelling uncertainty E. Findanis & A. Loukas
77. Earthquake risk mapping in the Himalayas by integrated analytical hierarchy process, entropy with neural network S. Malakar et al.
78. Balancing Costs and Benefits in Selecting New Information: Efficient Monitoring Using Deterministic Hydro-economic Models L. Raso et al.
79. Ensembles vs. information theory: supporting science under uncertainty G. Nearing & H. Gupta
80. Quantifying the Value of Learning for Flexible Water Infrastructure Planning J. Skerker et al.
81. Advancing catchment hydrology to deal with predictions under change U. Ehret et al.
82. Entropy‐based spatiotemporal patterns of precipitation regimes in the Huai River basin, China Q. Zhang et al.
83. Debates: Does Information Theory Provide a New Paradigm for Earth Science? Sharper Predictions Using Occam's Digital Razor S. Weijs & B. Ruddell
84. Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science Q. Wen et al.
85. Scientific dialogue on climate: is it giving black eyes or opening closed eyes? Reply to “A black eye for theHydrological Sciences Journal” by D. Huard D. Koutsoyiannis et al.
86. Accounting for Observational Uncertainty in Forecast Verification: An Information-Theoretical View on Forecasts, Observations, and Truth S. Weijs & N. van de Giesen
87. Information Flows: Characterizing Precipitation‐Streamflow Dependencies in the Colorado Headwaters With an Information Theory Approach S. Franzen et al.
88. Technical note: “Bit by bit”: a practical and general approach for evaluating model computational complexity vs. model performance E. Azmi et al.
89. Combining uncertainty quantification and entropy-inspired concepts into a single objective function for rainfall-runoff model calibration A. Pizarro et al.
90. How do I know if my forecasts are better? Using benchmarks in hydrological ensemble prediction F. Pappenberger et al.
91. Spatiotemporal variability of Indian rainfall using multiscale entropy R. Guntu et al.
92. Exploring Hydrologic Model Process Connectivity at the Continental Scale Through an Information Theory Approach G. Konapala et al.
93. A review of uncertainty representations and metaverification of uncertainty assessment techniques for renewable energies A. Gensler et al.
94. Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao
95. The rise of the Nash-Sutcliffe efficiency in hydrology L. Melsen et al.