111 citations as recorded by crossref.

1. Hybrid forecasting: blending climate predictions with AI models L. Slater et al. 10.5194/hess-27-1865-2023
2. Effects analysis and probability forecast (EAPF) of real-time management on urban flooding: A novel bidirectional verification framework H. Huang et al. 10.1016/j.scitotenv.2023.166908
3. Modelling non-stationary flood frequency in England and Wales using physical covariates D. Faulkner et al. 10.2166/nh.2024.134
4. On the impossibility of extreme event thresholds in the absence of global warming N. Diffenbaugh & F. Davenport 10.1088/1748-9326/ac2f1a
5. Cross-timescale interaction of nonstationary hydrological responses in subtropical mountainous watersheds R. Hao et al. 10.1016/j.jhydrol.2023.130167
6. Attribution of the Record‐Breaking Extreme Precipitation Events in July 2021 Over Central and Eastern China to Anthropogenic Climate Change L. Wang et al. 10.1029/2023EF003613
7. Nonstationary flood and low flow frequency analysis in the upper reaches of Huaihe River Basin, China, using climatic variables and reservoir index as covariates M. Wang et al. 10.1016/j.jhydrol.2022.128266
8. Linear, nonlinear, parametric and nonparametric regression models for nonstationary flood frequency analysis M. Chen et al. 10.1016/j.jhydrol.2022.128772
9. Nonstationary Seasonal Design Flood Estimation: Exploring Mixed Copulas for the Nonmonotonic Dependence between Peak Discharge and Timing W. Li et al. 10.1061/JHYEFF.HEENG-6043
10. Climate risk-informed decision analysis (CRIDA): ‘top-down’ vs ‘bottom-up’ decision making for planning water resources infrastructure J. Manous & E. Stakhiv 10.2166/wp.2021.243
11. A comparison of annual streamflow sensitivities to vegetation change and climate variability in fourteen large watersheds along climate zones in China Y. Hou et al. 10.1016/j.catena.2023.107571
12. On the nonstationary identification of climate-influenced loads for the semi-probabilistic approach using measured and projected data R. Arnold & M. Kraus 10.1080/23311916.2022.2143061
13. Cumulative forest disturbances decrease runoff in two boreal forested watersheds of the northern interior of British Columbia, Canada Y. Hou et al. 10.1016/j.jhydrol.2021.127362
14. Estimating return intervals for extreme climate conditions related to winter disasters and livestock mortality in Mongolia M. Haraguchi et al. 10.5194/nhess-22-2751-2022
15. Monthly Ocean Primary Productivity Forecasting by Joint Use of Seasonal Climate Prediction and Temporal Memory L. Xu et al. 10.3390/rs15051417
16. True interval non-stationary Intensity-Duration-Frequency curves under changing climate and effect of temporal discretisation on rainfall extremes A. Ghate & P. Timbadiya 10.1016/j.jhydrol.2023.129136
17. Exposure of the US population to extreme precipitation risk has increased due to climate change J. Kim et al. 10.1038/s41598-023-48969-7
18. Compound Climate Risk: Diagnosing Clustered Regional Flooding at Inter-Annual and Longer Time Scales Y. Amonkar et al. 10.3390/hydrology10030067
19. Investigating Temporal and Spatial Precipitation Patterns in the Southern Mid-Atlantic United States I. Dollan et al. 10.3389/fclim.2021.799055
20. Incorporating alluvial hydrogeomorphic complexities into paleoflood hydrology, magnitude estimation and flood frequency analysis, Tennessee River, Alabama R. Lombardi & M. Davis 10.1016/j.jhydrol.2022.128085
21. Spatiotemporal Variation in Extreme Precipitation in Beijiang River Basin, Southern Coastal China, from 1959 to 2018 Z. Liu et al. 10.3390/jmse11010073
22. Revealing the relation between spatial patterns of rainfall return levels and landslide density S. Mtibaa & H. Tsunetaka 10.5194/esurf-11-461-2023
23. Spatial response of water level and quality shows more significant heterogeneity during dry seasons in large river-connected lakes Y. Yin et al. 10.1038/s41598-024-59129-w
24. A Global Map for Selecting Stationary and Nonstationary Methods to Estimate Extreme Floods Z. Li et al. 10.3390/w15213835
25. Non‐Stationary Influences of Large‐Scale Climate Drivers on Low Flow Extremes in Southeast Australia P. Goswami et al. 10.1029/2021WR031508
26. Compound Continental Risk of Multiple Extreme Floods in the United States N. Najibi et al. 10.1029/2023GL105297
27. Multi-distribution regula-falsi profile likelihood method for nonstationary hydrological frequency analysis C. Vidrio-Sahagún et al. 10.1007/s00477-023-02603-0
28. On the attribution of annual maximum discharge across the conterminous United States H. Kim & G. Villarini 10.1016/j.advwatres.2022.104360
29. A Process-Conditioned and Spatially Consistent Method for Reducing Systematic Biases in Modeled Streamflow A. Bennett et al. 10.1175/JHM-D-21-0174.1
30. Investigation of the trend and cycles using the long-term records of annual precipitation in Shandong, China S. Cao et al. 10.2166/wcc.2022.128
31. Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States K. Hunt et al. 10.5194/hess-26-5449-2022
32. A framework for the detection and attribution of biodiversity change A. Gonzalez et al. 10.1098/rstb.2022.0182
33. Differential orographic impact on sub-hourly, hourly, and daily extreme precipitation G. Formetta et al. 10.1016/j.advwatres.2021.104085
34. Dynamic adaptive engineering pathways for mitigating flood risks in Shanghai with regret theory Z. Tian et al. 10.1038/s44221-022-00017-w
35. Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods W. Zhang et al. 10.3389/feart.2021.673495
36. Floods and droughts: a multivariate perspective M. Brunner 10.5194/hess-27-2479-2023
37. Special Issue for UN HELP: ‘Water infrastructure planning, management and design under climate uncertainty’ E. Stakhiv & K. Hiroki 10.2166/wp.2021.268
38. Statistical Attribution of the Influence of Urban and Tree Cover Change on Streamflow: A Comparison of Large Sample Statistical Approaches B. Anderson et al. 10.1029/2021WR030742
39. Identification and evaluation of soil moisture flash drought by a nonstationary framework considering climate and land cover changes X. Zha et al. 10.1016/j.scitotenv.2022.158953
40. Greedy copula segmentation of multivariate non-stationary time series for climate change adaptation T. Heo & L. Manuel 10.1016/j.pdisas.2022.100221
41. Contribution of urbanisation to non-stationary river flow in the UK S. Han et al. 10.1016/j.jhydrol.2022.128417
42. Changes in Mediterranean flood processes and seasonality Y. Tramblay et al. 10.5194/hess-27-2973-2023
43. The Development of a Nonstationary Standardised Streamflow Index Using Climate and Reservoir Indices as Covariates M. Wang et al. 10.1007/s11269-022-03088-2
44. Hydrological response to long-lasting dry spell at the southern edge of Siberian permafrost L. Han & L. Menzel 10.1016/j.scitotenv.2024.171330
45. Historical changes of extreme temperature in relation to soil moisture over different climatic zones of Iran S. Anvari & M. Moghaddasi 10.1007/s00477-023-02558-2
46. Urban Water Consumption Prediction Based on CPMBNIP J. Li & S. Song 10.1007/s11269-023-03601-1
47. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk 10.1038/s41612-023-00496-y
48. A RIC<sub>p</sub> criterion for periodicity analysis of hydrological time series L. Wu et al. 10.1360/TB-2021-1329
49. Spatial-temporal estimation of maximum temperature high returns periods for annual time series considering stationary/nonstationary approaches in Iran urban area M. Salarijazi et al. 10.1016/j.uclim.2023.101504
50. Higher emissions scenarios lead to more extreme flooding in the United States H. Kim & G. Villarini 10.1038/s41467-023-44415-4
51. Trends in reconstructed monthly, seasonal and annual flows for Irish catchments (1900–2016) P. O'Connor et al. 10.1002/wea.4288
52. Incorporating extreme event attribution into climate change adaptation for civil infrastructure: Methods, benefits, and research needs Y. Zhang et al. 10.1016/j.rcns.2024.03.002
53. Quantifying the Geomorphic Effect of Floods Using Satellite Observations of River Mobility A. Leenman et al. 10.1029/2023GL103875
54. Estimating flood recurrence uncertainty for non-stationary regimes Y. Gomes et al. 10.1590/2318-0331.282320230031
55. Revealing trends in extreme heatwave intensity: applying the UNSEEN approach to Nordic countries S. Berghald et al. 10.1088/1748-9326/ad2893
56. Identifying potential systemic changes in a regulated river: a diagnostic methodology based on whiteness property of innovation sequences S. Vanda & M. Abedini 10.1080/02626667.2022.2115913
57. Climate warming accelerates surface soil moisture drying in the Yellow River Basin, China K. Fan et al. 10.1016/j.jhydrol.2022.128735
58. Evaluating the accuracy of gridded water resources reanalysis and evapotranspiration products for assessing water security in poorly gauged basins E. Nkiaka et al. 10.5194/hess-26-5899-2022
59. Research on the Degree of Non-Stationarity in Extreme Precipitation in the Continental United States J. Shao et al. 10.1007/s11269-023-03683-x
60. Non-steady state fluctuations in water levels exacerbate long-term and seasonal degradation of water quality in river-connected lakes Y. Yin et al. 10.1016/j.watres.2023.120247
61. Assessment of upbasin dam impacts on streamflow at Chiang Saen gauging station during the period 1960–2020 in the context of statistical studies T. Nguyen et al. 10.1002/rra.4011
62. Spatial patterns and indices for heat waves and droughts over Europe using a decomposition of extremal dependency S. Szemkus & P. Friederichs 10.5194/ascmo-10-29-2024
63. Multivariate Hydrologic Risk Analysis for River Thames R. Gabriel & Y. Fan 10.3390/w14030384
64. Hydroclimatic time series features at multiple time scales G. Papacharalampous et al. 10.1016/j.jhydrol.2023.129160
65. Enhanced profile likelihood method for the nonstationary hydrological frequency analysis C. Vidrio-Sahagún & J. He 10.1016/j.advwatres.2022.104151
66. An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al. 10.1002/met.2065
67. The Treatment of Uncertainty in Hydrometric Observations: A Probabilistic Description of Streamflow Records D. de Oliveira & J. Vrugt 10.1029/2022WR032263
68. Long‐term trends in extreme precipitation indices in Ireland C. Ryan et al. 10.1002/joc.7475
69. Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al. 10.1038/s43247-021-00334-0
70. On method of regional non-stationary flood frequency analysis under the influence of large reservoir group and climate change H. Cui et al. 10.1016/j.jhydrol.2023.129255
71. Analysis of the responses of surface water resources to climate change in arid and semi-arid area J. Wang et al. 10.1016/j.agwat.2024.108751
72. Expected reliability over a planning horizon of a hydraulic infrastructure and its uncertainty under hydroclimatic future projections A. de la Fuente et al. 10.1016/j.jhydrol.2023.129700
73. Identifying the shift in global wildfire weather conditions over the past four decades: an analysis based on change-points and long-term trends K. Shi & Y. Touge 10.1186/s40562-022-00255-6
74. Historical archives reveal record rainfall and severe flooding in December 1867 resulting from an atmospheric river and snowmelt, western Washington, USA D. Gavin et al. 10.1371/journal.pclm.0000324
75. Resilience of UK crop yields to compound climate change L. Slater et al. 10.5194/esd-13-1377-2022
76. Hydrological characteristics of extreme floods in the Klaserie River, a headwater stream in southern Africa S. Marr & A. Swemmer 10.4081/jlimnol.2023.2102
77. Multi-Hazard Extreme Scenario Quantification Using Intensity, Duration, and Return Period Characteristics A. Sfetsos et al. 10.3390/cli11120242
78. Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves K. Schlef et al. 10.1016/j.jhydrol.2022.128757
79. Non-Stationary Flood Discharge Frequency Analysis in West Africa A. Bossa et al. 10.3390/geohazards4030018
80. Optimizing urban water sustainability: Integrating deep learning, genetic algorithm, and CMIP6 GCM for groundwater potential zone prediction within a social-ecological-technological framework M. Rahman et al. 10.1016/j.asr.2024.03.033
81. Rainfall Patterns From Multiscale Sample Entropy Analysis X. Zhou et al. 10.3389/frwa.2022.885456
82. The Robustness of the Derived Design Life Levels of Heavy Precipitation Events in the Pre-Alpine Oberland Region of Southern Germany P. Laux et al. 10.3390/atmos14091384
83. A Vine Copula‐Based Ensemble Projection of Precipitation Intensity–Duration–Frequency Curves at Sub‐Daily to Multi‐Day Time Scales B. Zhang et al. 10.1029/2022WR032658
84. Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. 10.1002/met.2192
85. Observed trends in timing and severity of streamflow droughts across global tropics A. Raut & P. Ganguli 10.1088/1748-9326/ad25a1
86. Hydrological frequency analysis under nonstationarity using the Metastatistical approach and its simplified version C. Vidrio-Sahagún & J. He 10.1016/j.advwatres.2022.104244
87. Nonlinear Seasonal and Long-Term Trends in a Twentieth-Century Meteorological Drought Index across the Continental United States K. Sung & J. Stagge 10.1175/JCLI-D-22-0045.1
88. A practice-oriented framework for stationary and nonstationary flood frequency analysis C. Vidrio-Sahagún et al. 10.1016/j.envsoft.2024.105940
89. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring A. Khoshnazar et al. 10.2166/nh.2022.062
90. Non-stationary modeling of seasonal precipitation series in Turkey: estimating the plausible range of seasonal extremes F. Tosunoglu et al. 10.1007/s00704-023-04807-4
91. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
92. Decreasing flood hazard evaluated in Turkey using nonstationary models F. Tosunoglu & L. Slater 10.1002/rra.3998
93. Robust Local Likelihood Estimation for Non-stationary Flood Frequency Analysis J. Grego & P. Yates 10.1007/s13253-024-00614-0
94. Detection Time for Nonstationary Reservoir System Performance Driven by Climate and Land-Use Change M. Chen & J. Herman 10.1061/JWRMD5.WRENG-6184
95. A spatio-temporal analysis of the role of climatic drivers influencing extreme precipitation events in a Costa Rican basin C. Huguenin et al. 10.1016/j.wace.2023.100602
96. A Bayesian copula-based nonstationary framework for compound flood risk assessment along US coastlines K. Naseri & M. Hummel 10.1016/j.jhydrol.2022.128005
97. A Nonstationary Standardized Precipitation Index (NSPI) Using Bayesian Splines J. Stagge & K. Sung 10.1175/JAMC-D-21-0244.1
98. Extreme low‐flow effects on riverine fauna: A perspective on methodological assessments J. White et al. 10.1002/eco.2422
99. Science of forests and floods: The quantum leap forward needed, literally and metaphorically H. Pham & Y. Alila 10.1016/j.scitotenv.2023.169646
100. A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China J. Fang et al. 10.2166/nh.2024.124
101. A structured framework to interpret hydro-climatic and water quality trends in Mediterranean climate zones H. Alilou et al. 10.1016/j.jhydrol.2022.128512
102. A long-term view of tropical cyclone risk in Australia T. Mortlock et al. 10.1007/s11069-023-06019-5
103. Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
104. An updated national-scale assessment of trends in UK peak river flow data: how robust are observed increases in flooding? J. Hannaford et al. 10.2166/nh.2021.156
105. Simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States J. Hecht et al. 10.1016/j.hydroa.2021.100115
106. Do small and large floods have the same drivers of change? A regional attribution analysis in Europe M. Bertola et al. 10.5194/hess-25-1347-2021
107. Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
108. Floods and Heavy Precipitation at the Global Scale: 100‐Year Analysis and 180‐Year Reconstruction B. Renard et al. 10.1029/2022JD037908
109. Global Changes in 20‐Year, 50‐Year, and 100‐Year River Floods L. Slater et al. 10.1029/2020GL091824
110. Simulation-based assessment of inundation risk potential considering the nonstationarity of extreme flood events under climate change K. Taniguchi et al. 10.1016/j.jhydrol.2022.128434
111. Drought- and heatwave-associated compound extremes: A review of hotspots, variables, parameters, drivers, impacts, and analysis frameworks M. Afroz et al. 10.3389/feart.2022.914437