87 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 10.1007/s11069-017-3050-9
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5. Validation of a model with climatic and flow scenario analysis: case of Lake Burrumbeet in southeastern Australia Y. Yihdego & J. Webb 10.1007/s10661-016-5310-7
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8. Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes G. Papacharalampous et al. 10.1007/s00477-018-1638-6
9. Overcoming the Challenges of an Uncertain Future with Enhanced Climate Information and Services D. Kim et al. 10.1175/BAMS-D-18-0327.1
10. Principle of maximum entropy in the estimation of suspended sediment concentration P. Martins & C. Poleto 10.1590/2318-0331.011716058
11. Water Temperature Ensemble Forecasts: Implementation Using the CEQUEAU Model on Two Contrasted River Systems S. Ouellet-Proulx et al. 10.3390/w9070457
12. An entropy approach for the optimization of cross-section spacing for river modelling E. Ridolfi et al. 10.1080/02626667.2013.822640
13. Robust informational entropy-based descriptors of flow in catchment hydrology I. Pechlivanidis et al. 10.1080/02626667.2014.983516
14. 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. 10.1007/s10666-016-9541-3
15. Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework E. Solazzo et al. 10.5194/acp-17-10435-2017
16. Probabilistic Forecasts: Scoring Rules and Their Decomposition and Diagrammatic Representation via Bregman Divergences G. Hughes & C. Topp 10.3390/e17085450
17. A topographic index explaining hydrological similarity by accounting for the joint controls of runoff formation R. Loritz et al. 10.5194/hess-23-3807-2019
18. Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions G. Nearing et al. 10.1175/JHM-D-15-0063.1
19. Dependency and Redundancy: How Information Theory Untangles Three Variable Interactions in Environmental Data S. Weijs et al. 10.1029/2018WR022649
20. Augmentation of groundwater monitoring networks using information theory and ensemble modeling with pedotransfer functions A. Yakirevich et al. 10.1016/j.jhydrol.2013.07.032
21. An Overview of Applications of Proper Scoring Rules A. Carvalho 10.1287/deca.2016.0337
22. A Value‐Based Model Selection Approach for Environmental Random Variables M. Müller & S. Thompson 10.1029/2018WR023000
23. Parsimony vs predictive and functional performance of three stomatal optimization principles in a big‐leaf framework M. Bassiouni & G. Vico 10.1111/nph.17392
24. Benchmarking and Process Diagnostics of Land Models G. Nearing et al. 10.1175/JHM-D-17-0209.1
25. An information-theoretical perspective on weighted ensemble forecasts S. Weijs & N. van de Giesen 10.1016/j.jhydrol.2013.06.033
26. HydroZIP: How Hydrological Knowledge can Be Used to Improve Compression of Hydrological Data S. Weijs et al. 10.3390/e15041289
27. Effectiveness of Entropy Weight Method in Decision-Making Y. Zhu et al. 10.1155/2020/3564835
28. Performance assessment of a Bayesian Forecasting System (BFS) for real-time flood forecasting D. Biondi & D. De Luca 10.1016/j.jhydrol.2012.11.019
29. A step toward global-scale applicability and transferability of flow duration curve studies: A flow duration curve review (2000–2020) C. Leong & Y. Yokoo 10.1016/j.jhydrol.2021.126984
30. Tree structure generation from ensemble forecasts for real time control L. Raso et al. 10.1002/hyp.9473
31. Quantification of the information content of Darcy fluxes associated with hydraulic conductivity fields evaluated at diverse scales A. Dell'Oca et al. 10.1016/j.advwatres.2020.103730
32. A Mutual Information Theory‐Based Approach for Assessing Uncertainties in Deterministic Multi‐Category Precipitation Forecasts Y. Ning et al. 10.1029/2022WR032631
33. 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. 10.1016/j.jhydrol.2021.126327
34. A strategy for diagnosing and interpreting hydrological model nonstationarity S. Westra et al. 10.1002/2013WR014719
35. Ensemble Forecasts: Probabilistic Seasonal Forecasts Based on a Model Ensemble H. Aizenman et al. 10.3390/cli4020019
36. Uncertainty quantification in watershed hydrology: Which method to use? A. Gupta & R. Govindaraju 10.1016/j.jhydrol.2022.128749
37. The quantity and quality of information in hydrologic models G. Nearing & H. Gupta 10.1002/2014WR015895
38. Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models K. Beven & P. Smith 10.1061/(ASCE)HE.1943-5584.0000991
39. A philosophical basis for hydrological uncertainty G. Nearing et al. 10.1080/02626667.2016.1183009
40. Improving the evaluation of hydrological multi-model forecast performance in the Upper Danube Catchment K. Bogner et al. 10.1080/15715124.2011.625359
41. Entropy of hydrological systems under small samples: Uncertainty and variability D. Liu et al. 10.1016/j.jhydrol.2015.11.019
42. How to evaluate a monitoring system for adaptive policies: criteria for signposts selection and their model-based evaluation L. Raso et al. 10.1007/s10584-018-2355-3
43. Characterising performance of environmental models N. Bennett et al. 10.1016/j.envsoft.2012.09.011
44. An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models R. Taormina et al. 10.1016/j.jhydrol.2016.07.045
45. Uncertainty estimation with deep learning for rainfall–runoff modeling D. Klotz et al. 10.5194/hess-26-1673-2022
46. Information Theory for Model Diagnostics: Structural Error is Indicated by Trade‐Off Between Functional and Predictive Performance B. Ruddell et al. 10.1029/2018WR023692
47. Earthquake risk mapping in the Himalayas by integrated analytical hierarchy process, entropy with neural network S. Malakar et al. 10.1007/s11069-022-05706-z
48. Balancing Costs and Benefits in Selecting New Information: Efficient Monitoring Using Deterministic Hydro-economic Models L. Raso et al. 10.1007/s11269-017-1813-4
49. Improving probabilistic streamflow predictions through a nonparametric residual error model J. Liang et al. 10.1016/j.envsoft.2024.105981
50. Shannon Entropy for Measuring Spatial Complexity Associated with Mean Annual Runoff of Tertiary Catchments of the Middle Vaal Basin in South Africa M. Ilunga 10.3390/e21040366
51. Comparing expert judgement and numerical criteria for hydrograph evaluation L. Crochemore et al. 10.1080/02626667.2014.903331
52. Entropy analysis for spatiotemporal variability of seasonal, low, and high streamflows H. Tongal & B. Sivakumar 10.1007/s00477-018-1615-0
53. Ensembles vs. information theory: supporting science under uncertainty G. Nearing & H. Gupta 10.1007/s11707-018-0709-9
54. Quantifying the Value of Learning for Flexible Water Infrastructure Planning J. Skerker et al. 10.1029/2022WR034412
55. Advancing catchment hydrology to deal with predictions under change U. Ehret et al. 10.5194/hess-18-649-2014
56. Entropy‐based spatiotemporal patterns of precipitation regimes in the Huai River basin, China Q. Zhang et al. 10.1002/joc.4498
57. The Value of Subseasonal Hydrometeorological Forecasts to Hydropower Operations: How Much Does Preprocessing Matter? D. Anghileri et al. 10.1029/2019WR025280
58. Spatiotemporal Variation in Total Sediment Load Concentration and Related Factors of Shoreline Waters Based on Disorder Power Index S. Khorram & F. Ghasemi 10.1007/s40996-020-00347-3
59. Use of an entropy‐based metric in multiobjective calibration to improve model performance I. Pechlivanidis et al. 10.1002/2013WR014537
60. Debates: Does Information Theory Provide a New Paradigm for Earth Science? Sharper Predictions Using Occam's Digital Razor S. Weijs & B. Ruddell 10.1029/2019WR026471
61. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
62. Evaluating Ecohydrological Model Sensitivity to Input Variability with an Information-Theory-Based Approach M. Farahani et al. 10.3390/e24070994
63. On the dynamic nature of hydrological similarity R. Loritz et al. 10.5194/hess-22-3663-2018
64. 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. 10.1080/02626667.2011.610759
65. Accounting for Observational Uncertainty in Forecast Verification: An Information-Theoretical View on Forecasts, Observations, and Truth S. Weijs & N. van de Giesen 10.1175/2011MWR3573.1
66. Generalization of the Ignorance Score: Continuous Ranked Version and Its Decomposition J. Tödter & B. Ahrens 10.1175/MWR-D-11-00266.1
67. Transfer Entropy as a Tool for Hydrodynamic Model Validation A. Sendrowski et al. 10.3390/e20010058
68. 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. 10.1016/j.advwatres.2019.103471
69. Information Flows: Characterizing Precipitation‐Streamflow Dependencies in the Colorado Headwaters With an Information Theory Approach S. Franzen et al. 10.1029/2019WR026133
70. Information Content of Seasonal Forecasts in a Changing Climate N. Krakauer et al. 10.1155/2013/480210
71. Heterogeneity measures in hydrological frequency analysis: review and new developments A. Requena et al. 10.5194/hess-21-1651-2017
72. The Potential Utility of Satellite Soil Moisture Retrievals for Detecting Irrigation Patterns in China X. Zhang et al. 10.3390/w10111505
73. Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS H. Tyralis et al. 10.1016/j.jhydrol.2019.123957
74. Technical note: “Bit by bit”: a practical and general approach for evaluating model computational complexity vs. model performance E. Azmi et al. 10.5194/hess-25-1103-2021
75. Comparative study of statistical methods to identify a predictor for discharge at Orsova in the Lower Danube Basin I. Mares et al. 10.1080/02626667.2019.1699244
76. 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. 10.1016/j.advwatres.2019.103470
77. How do I know if my forecasts are better? Using benchmarks in hydrological ensemble prediction F. Pappenberger et al. 10.1016/j.jhydrol.2015.01.024
78. Quantifying Process Connectivity With Transfer Entropy in Hydrologic Models A. Bennett et al. 10.1029/2018WR024555
79. Spatiotemporal variability of Indian rainfall using multiscale entropy R. Guntu et al. 10.1016/j.jhydrol.2020.124916
80. Exploring Hydrologic Model Process Connectivity at the Continental Scale Through an Information Theory Approach G. Konapala et al. 10.1029/2020WR027340
81. A Hybrid Approach Integrating Entropy-AHP and GIS for Suitability Assessment of Urban Emergency Facilities P. Nyimbili & T. Erden 10.3390/ijgi9070419
82. A review of uncertainty representations and metaverification of uncertainty assessment techniques for renewable energies A. Gensler et al. 10.1016/j.rser.2018.07.042
83. Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao 10.1002/wat2.1580
84. A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models K. Beven 10.1080/02626667.2024.2332616
85. Bayesian inference and predictive performance of soil respiration models in the presence of model discrepancy A. Elshall et al. 10.5194/gmd-12-2009-2019
86. Stochastic rainfall-runoff forecasting: parameter estimation, multi-step prediction, and evaluation of overflow risk R. Löwe et al. 10.1007/s00477-013-0768-0
87. Using the particle filter for nuclear decision support P. Hiemstra et al. 10.1016/j.envsoft.2012.03.003