133 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. Challenges for compound coastal flood risk management in a warming climate: a case study of the Gulf Coast of the United States M. Lewis et al. 10.3389/frwa.2024.1405603
11. The Machine Learning Attribution of Quasi-Decadal Precipitation and Temperature Extremes in Southeastern Australia during the 1971–2022 Period M. Speer et al. 10.3390/cli12050075
12. 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
13. 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
14. 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
15. 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
16. 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
17. Monthly Ocean Primary Productivity Forecasting by Joint Use of Seasonal Climate Prediction and Temporal Memory L. Xu et al. 10.3390/rs15051417
18. 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
19. 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
20. Compound Climate Risk: Diagnosing Clustered Regional Flooding at Inter-Annual and Longer Time Scales Y. Amonkar et al. 10.3390/hydrology10030067
21. Investigating Temporal and Spatial Precipitation Patterns in the Southern Mid-Atlantic United States I. Dollan et al. 10.3389/fclim.2021.799055
22. 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
23. Spatiotemporal Variation in Extreme Precipitation in Beijiang River Basin, Southern Coastal China, from 1959 to 2018 Z. Liu et al. 10.3390/jmse11010073
24. Revealing the relation between spatial patterns of rainfall return levels and landslide density S. Mtibaa & H. Tsunetaka 10.5194/esurf-11-461-2023
25. 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
26. A Global Map for Selecting Stationary and Nonstationary Methods to Estimate Extreme Floods Z. Li et al. 10.3390/w15213835
27. Increasing extreme hourly precipitation risk for New York City after Hurricane Ida C. Mossel et al. 10.1038/s41598-024-78704-9
28. Can precipitation intermittency predict flooding? B. Livneh et al. 10.1016/j.scitotenv.2024.173824
29. Non‐Stationary Influences of Large‐Scale Climate Drivers on Low Flow Extremes in Southeast Australia P. Goswami et al. 10.1029/2021WR031508
30. Compound Continental Risk of Multiple Extreme Floods in the United States N. Najibi et al. 10.1029/2023GL105297
31. Nonstationary Changes in Annual Rainfall over Indonesia’s Maritime Continent G. Sudarman et al. 10.1155/2024/9392844
32. Multi-distribution regula-falsi profile likelihood method for nonstationary hydrological frequency analysis C. Vidrio-Sahagún et al. 10.1007/s00477-023-02603-0
33. Evaluating the Non-Stationarity, Seasonality and Temporal Risk to Water Resources in the Wei River Basin X. Yuan & F. O’Loughlin 10.3390/w16172513
34. On the attribution of annual maximum discharge across the conterminous United States H. Kim & G. Villarini 10.1016/j.advwatres.2022.104360
35. 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
36. 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
37. Assessing global drought conditions under climate change: A comparison of stationary and non-stationary approaches and identification of hotspot regions D. Wu et al. 10.1016/j.jhydrol.2024.131663
38. 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
39. A framework for the detection and attribution of biodiversity change A. Gonzalez et al. 10.1098/rstb.2022.0182
40. Impact of Climate Variability and Interventions on Malaria Incidence and Forecasting in Burkina Faso N. Traoré et al. 10.3390/ijerph21111487
41. Differential orographic impact on sub-hourly, hourly, and daily extreme precipitation G. Formetta et al. 10.1016/j.advwatres.2021.104085
42. Dynamic adaptive engineering pathways for mitigating flood risks in Shanghai with regret theory Z. Tian et al. 10.1038/s44221-022-00017-w
43. Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods W. Zhang et al. 10.3389/feart.2021.673495
44. Floods and droughts: a multivariate perspective M. Brunner 10.5194/hess-27-2479-2023
45. Special Issue for UN HELP: ‘Water infrastructure planning, management and design under climate uncertainty’ E. Stakhiv & K. Hiroki 10.2166/wp.2021.268
46. 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
47. 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
48. Greedy copula segmentation of multivariate non-stationary time series for climate change adaptation T. Heo & L. Manuel 10.1016/j.pdisas.2022.100221
49. Contribution of urbanisation to non-stationary river flow in the UK S. Han et al. 10.1016/j.jhydrol.2022.128417
50. Changes in Mediterranean flood processes and seasonality Y. Tramblay et al. 10.5194/hess-27-2973-2023
51. 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
52. Hydrological response to long-lasting dry spell at the southern edge of Siberian permafrost L. Han & L. Menzel 10.1016/j.scitotenv.2024.171330
53. 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
54. Urban Water Consumption Prediction Based on CPMBNIP J. Li & S. Song 10.1007/s11269-023-03601-1
55. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk 10.1038/s41612-023-00496-y
56. Assessing water storage variations in La Plata basin and sub-basins from GRACE, global models data and connection with ENSO events A. Pereira et al. 10.1080/02626667.2024.2349277
57. Impacts of hydrometeorological regime shifts on drought Propagation: The meteorological to hydrological perspective J. Wu et al. 10.1016/j.jhydrol.2024.131476
58. A RIC<sub>p</sub> criterion for periodicity analysis of hydrological time series L. Wu et al. 10.1360/TB-2021-1329
59. Integrating heterogeneous information for modeling non-stationarity of extreme precipitation in the Yangtze River Basin Y. Liu et al. 10.1016/j.jhydrol.2024.132159
60. 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
61. Higher emissions scenarios lead to more extreme flooding in the United States H. Kim & G. Villarini 10.1038/s41467-023-44415-4
62. Trends in reconstructed monthly, seasonal and annual flows for Irish catchments (1900–2016) P. O'Connor et al. 10.1002/wea.4288
63. 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
64. Quantifying the Geomorphic Effect of Floods Using Satellite Observations of River Mobility A. Leenman et al. 10.1029/2023GL103875
65. Two Decades of Integrated Flood Management: Status, Barriers, and Strategies N. Grigg 10.3390/cli12050067
66. Estimating flood recurrence uncertainty for non-stationary regimes Y. Gomes et al. 10.1590/2318-0331.282320230031
67. Revealing trends in extreme heatwave intensity: applying the UNSEEN approach to Nordic countries S. Berghald et al. 10.1088/1748-9326/ad2893
68. 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
69. Climate warming accelerates surface soil moisture drying in the Yellow River Basin, China K. Fan et al. 10.1016/j.jhydrol.2022.128735
70. 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
71. 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
72. 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
73. 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
74. 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
75. Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene W. Nie et al. 10.1073/pnas.2403707121
76. Multivariate Hydrologic Risk Analysis for River Thames R. Gabriel & Y. Fan 10.3390/w14030384
77. Hydroclimatic time series features at multiple time scales G. Papacharalampous et al. 10.1016/j.jhydrol.2023.129160
78. Enhanced profile likelihood method for the nonstationary hydrological frequency analysis C. Vidrio-Sahagún & J. He 10.1016/j.advwatres.2022.104151
79. An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al. 10.1002/met.2065
80. The Treatment of Uncertainty in Hydrometric Observations: A Probabilistic Description of Streamflow Records D. de Oliveira & J. Vrugt 10.1029/2022WR032263
81. Long‐term trends in extreme precipitation indices in Ireland C. Ryan et al. 10.1002/joc.7475
82. 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
83. 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
84. The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
85. Proof of concept for Bayesian inference of dynamic rating curve uncertainty in a sparsely gauged watershed R. Cornelio et al. 10.1080/02626667.2024.2401094
86. 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
87. 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
88. 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
89. 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
90. Resilience of UK crop yields to compound climate change L. Slater et al. 10.5194/esd-13-1377-2022
91. Hydrological characteristics of extreme floods in the Klaserie River, a headwater stream in southern Africa S. Marr & A. Swemmer 10.4081/jlimnol.2023.2102
92. Multi-Hazard Extreme Scenario Quantification Using Intensity, Duration, and Return Period Characteristics A. Sfetsos et al. 10.3390/cli11120242
93. Estimation of return levels with long return periods for extreme sea levels in a time-varying framework J. Rydén 10.1007/s10669-024-09974-x
94. 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
95. Non-Stationary Flood Discharge Frequency Analysis in West Africa A. Bossa et al. 10.3390/geohazards4030018
96. 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
97. Forest disturbance thresholds on summer low flows in the interior of British Columbia, Canada Y. Hou et al. 10.1016/j.catena.2024.108173
98. Rainfall Patterns From Multiscale Sample Entropy Analysis X. Zhou et al. 10.3389/frwa.2022.885456
99. GC Insights: Communicating long-term changes in local climate risk using a physically plausible causal chain E. Hawkins et al. 10.5194/gc-7-161-2024
100. 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
101. 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
102. 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
103. Observed trends in timing and severity of streamflow droughts across global tropics A. Raut & P. Ganguli 10.1088/1748-9326/ad25a1
104. Trends in extreme rainfall over the past 55 years suggest springtime subhourly rainfall extremes have intensified in Mahantango Creek, Pennsylvania A. Buda et al. 10.1038/s41598-024-79196-3
105. Hydrological frequency analysis under nonstationarity using the Metastatistical approach and its simplified version C. Vidrio-Sahagún & J. He 10.1016/j.advwatres.2022.104244
106. Impact of Policy Intensity on Carbon Emission Reductions: Based on the Perspective of China’s Low-Carbon Policy H. Chen et al. 10.3390/su16188265
107. 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
108. A practice-oriented framework for stationary and nonstationary flood frequency analysis C. Vidrio-Sahagún et al. 10.1016/j.envsoft.2024.105940
109. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring A. Khoshnazar et al. 10.2166/nh.2022.062
110. 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
111. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
112. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
113. Decreasing flood hazard evaluated in Turkey using nonstationary models F. Tosunoglu & L. Slater 10.1002/rra.3998
114. Robust Local Likelihood Estimation for Non-stationary Flood Frequency Analysis J. Grego & P. Yates 10.1007/s13253-024-00614-0
115. Hydrometeorological response to afforestation in the UK: findings from a kilometer-scale climate model M. Buechel et al. 10.1088/1748-9326/ad4bf6
116. Detection Time for Nonstationary Reservoir System Performance Driven by Climate and Land-Use Change M. Chen & J. Herman 10.1061/JWRMD5.WRENG-6184
117. 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
118. A Bayesian copula-based nonstationary framework for compound flood risk assessment along US coastlines K. Naseri & M. Hummel 10.1016/j.jhydrol.2022.128005
119. A Nonstationary Standardized Precipitation Index (NSPI) Using Bayesian Splines J. Stagge & K. Sung 10.1175/JAMC-D-21-0244.1
120. Extreme low‐flow effects on riverine fauna: A perspective on methodological assessments J. White et al. 10.1002/eco.2422
121. Science of forests and floods: The quantum leap forward needed, literally and metaphorically H. Pham & Y. Alila 10.1016/j.scitotenv.2023.169646
122. 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
123. 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
124. A long-term view of tropical cyclone risk in Australia T. Mortlock et al. 10.1007/s11069-023-06019-5
125. Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
126. 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
127. 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
128. 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
129. Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
130. Floods and Heavy Precipitation at the Global Scale: 100‐Year Analysis and 180‐Year Reconstruction B. Renard et al. 10.1029/2022JD037908
131. Global Changes in 20‐Year, 50‐Year, and 100‐Year River Floods L. Slater et al. 10.1029/2020GL091824
132. 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
133. 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