83 citations as recorded by crossref.

1. Stationary and non-stationary temperature-duration-frequency curves for Australia O. Laz et al. 10.1007/s00477-023-02518-w
2. The Effect of Nonstationarity in Rainfall on Urban Flooding Based on Coupling SWMM and MIKE21 L. Yang et al. 10.1007/s11269-020-02522-7
3. SuDS as a climate change adaptation strategy: Scenario-based analysis for an urban catchment in northern Italy R. D'Ambrosio et al. 10.1016/j.uclim.2023.101596
4. Hydrologic regionalization of non-stationary intensity–duration–frequency relationships for Indian mainland M. Mohan et al. 10.2166/h2oj.2023.023
5. Updating the intensity-duration-frequency curves in major Canadian cities under changing climate using CMIP5 and CMIP6 model projections V. Crévolin et al. 10.1016/j.scs.2023.104473
6. Improvement of Extreme Value Modeling for Extreme Rainfall Using Large-Scale Climate Modes and Considering Model Uncertainty H. Kim et al. 10.3390/w14030478
7. Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. 10.5194/hess-25-3897-2021
8. Multivariate Hazard Assessment for Nonstationary Seasonal Flood Extremes Considering Climate Change P. Xu et al. 10.1029/2020JD032780
9. An Integrative Framework for Assessment of Urban Flood Response to Changing Climate L. Pal et al. 10.1029/2023WR034466
10. Updating intensity–duration–frequency curves for urban infrastructure design under a changing environment L. Yan et al. 10.1002/wat2.1519
11. Comparative Performance of Non-Stationary Intensity-Duration-Frequency (NS-IDF) Models for Selected Gauge Stations in the Niger Delta M. Sam & I. Nwaogazie 10.11648/j.hyd.20241202.11
12. Intensity–Duration–Frequency Curves in a Data-Rich Era: A Review S. Lanciotti et al. 10.3390/w14223705
13. Uncertainty of stationary and nonstationary models for rainfall frequency analysis T. Ouarda et al. 10.1002/joc.6339
14. Will a nonstationary change in extreme precipitation affect dam security in China? H. Huang et al. 10.1016/j.jhydrol.2021.126859
15. Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. 10.3390/hydrology8040150
16. Flexible and consistent quantile estimation for intensity–duration–frequency curves F. Fauer et al. 10.5194/hess-25-6479-2021
17. 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
18. Addressing uncertainty in extreme rainfall intensity for semi-arid urban regions: case study of Delhi, India R. Chaudhuri & P. Sharma 10.1007/s11069-020-04273-5
19. Incorporation of non-stationarity in precipitation intensity-duration-frequency curves for Kerala, India R. Soumya et al. 10.1088/1755-1315/491/1/012013
20. Intensity-Duration-Frequency Curves at Ungauged Sites in a Changing Climate for Sustainable Stormwater Networks P. Galiatsatou & C. Iliadis 10.3390/su14031229
21. Bivariate frequency analysis of seasonal runoff series under future climate change M. Li et al. 10.1080/02626667.2020.1817927
22. Time-varying copula and average annual reliability-based nonstationary hazard assessment of extreme rainfall events P. Xu et al. 10.1016/j.jhydrol.2021.126792
23. Non‐stationary intensity‐duration‐frequency curves integrating information concerning teleconnections and climate change T. Ouarda et al. 10.1002/joc.5953
24. Uncertainty in nonstationary frequency analysis of South Korea's daily rainfall peak over threshold excesses associated with covariates O. Lee et al. 10.5194/hess-24-5077-2020
25. A dynamic von Mises-based model to evaluate the impact of urbanization and climate change on flood timing in Yangtze and Huaihe River Basins, China P. Xu et al. 10.1016/j.jhydrol.2024.131120
26. Methodology for holistic assessment of grey-green flood mitigation measures for climate change adaptation in urban basins I. Kourtis et al. 10.1016/j.jhydrol.2021.126885
27. Evaluating next‐generation intensity–duration–frequency curves for design flood estimates in the snow‐dominated western United States H. Yan et al. 10.1002/hyp.13673
28. Pluvial flood risk and opportunities for resilience B. Rosenzweig et al. 10.1002/wat2.1302
29. Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area A. Caldas-Alvarez et al. 10.5194/nhess-22-3701-2022
30. Updating IDF Curves Under Climate Change: Impact on Rainfall-Induced Runoff in Urban Basins I. Kourtis et al. 10.1007/s11269-022-03252-8
31. Quantifying the urbanization and climate change-induced impact on changing patterns of rainfall Intensity-Duration-Frequency via nonstationary models P. Xu et al. 10.1016/j.uclim.2024.101990
32. Utilizing Entropy-Based Method for Rainfall Network Design in Huaihe River Basin, China J. Liu et al. 10.3390/w15173115
33. Developing the Regional Nonstationary IDF Curves Using NGN-ProNEVA Framework M. Mahmoudi et al. 10.1007/s11269-023-03619-5
34. Temporal change of extreme precipitation intensity–duration–frequency relationships in Thailand N. Yamoat et al. 10.2166/wcc.2021.348
35. Novel wavelet-LSTM approach for time series prediction C. Tamilselvi et al. 10.1007/s00521-024-10561-z
36. Depth–Duration–Frequency Relationship Model of Extreme Precipitation in Flood Risk Assessment in the Upper Vistula Basin I. Markiewicz 10.3390/w13233439
37. A Synthesis of Climate Change Impacts on Stormwater Management Systems: Designing for Resiliency and Future Challenges J. Hathaway et al. 10.1061/JSWBAY.SWENG-533
38. Effect of urbanisation on extreme precipitation based on nonstationary models in the Yangtze River Delta metropolitan region M. Lu et al. 10.1016/j.scitotenv.2019.03.413
39. Trends, Shifting, or Oscillations? Stochastic Modeling of Nonstationary Time Series for Future Water‐Related Risk Management T. Lee & T. Ouarda 10.1029/2022EF003049
40. Applying a time-varying GEV distribution to correct bias in rainfall quantiles derived from regional climate models M. Onderka et al. 10.2478/johh-2024-0025
41. Nonoverlapping Block Stratified Random Sampling Approach for Assessment of Stationarity R. Teegavarapu & P. Sharma 10.1061/(ASCE)HE.1943-5584.0002098
42. Derivation of nonstationary rainfall intensity-duration-frequency curves considering the impacts of climate change and urbanization L. Yan et al. 10.1016/j.uclim.2023.101701
43. 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
44. Technical guidelines for future intensity–duration–frequency curve estimation in Canada A. Requena et al. 10.1080/07011784.2021.1909501
45. Evaluating Non-Stationarity in Precipitation Intensity-Duration-Frequency Curves for the Dallas–Fort Worth Metroplex, Texas, USA B. Ghimire et al. 10.3390/hydrology10120229
46. Climate change effects on rainfall extreme value distribution: the role of skewness D. De Luca et al. 10.1016/j.jhydrol.2024.130958
47. The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada H. Yan et al. 10.1029/2023WR034496
48. Application of the non-stationary peak-over-threshold methods for deriving rainfall extremes from temperature projections O. Lee et al. 10.1016/j.jhydrol.2019.124318
49. Assessing water system vulnerabilities under changing climate conditions using different representations of a hydrological system A. Sharifinejad et al. 10.1080/02626667.2021.2014057
50. An ensemble approach for the analysis of extreme rainfall under climate change in Naples (Italy) R. Padulano et al. 10.1002/hyp.13449
51. Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al. 10.1016/j.enggeo.2021.106372
52. Implications of modeling seasonal differences in the extremal dependence of rainfall maxima O. Jurado et al. 10.1007/s00477-022-02375-z
53. Assessment of non-stationary IDF curves under a changing climate: Case study of different climatic zones in Canada D. Silva et al. 10.1016/j.ejrh.2021.100870
54. Atlas of probabilistic extreme precipitation based on the early 21st century records in the United States J. Kim et al. 10.1016/j.ejrh.2023.101480
55. Convection‐permitting modeling with regional climate models: Latest developments and next steps P. Lucas‐Picher et al. 10.1002/wcc.731
56. Three methods of characterizing climate-induced changes in extreme rainfall: a comparison study M. Maimone et al. 10.2166/wcc.2023.420
57. Investigation of Trends, Temporal Changes in Intensity-Duration-Frequency (IDF) Curves and Extreme Rainfall Events Clustering at Regional Scale Using 5 min Rainfall Data N. Bezak & M. Mikoš 10.3390/w11102167
58. Development of Monsoonal Rainfall Intensity-Duration-Frequency (IDF) Relationship and Empirical Model for Data-Scarce Situations: The Case of the Central-Western Hills (Panchase Region) of Nepal S. Devkota et al. 10.3390/hydrology5020027
59. Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios C. Vidrio-Sahagún et al. 10.1016/j.jhydrol.2020.125725
60. Nonstationary bayesian modeling of precipitation extremes in the Beijing-Tianjin-Hebei Region, China X. Song et al. 10.1016/j.atmosres.2020.105006
61. Uncertainty of Rate of Change in Korean Future Rainfall Extremes Using Non-Stationary GEV Model J. Seo et al. 10.3390/atmos12020227
62. Optimal design of low impact development practices in response to climate change S. Ghodsi et al. 10.1016/j.jhydrol.2019.124266
63. An extension of data assimilation into the short-term hydrologic forecast for improved prediction reliability J. Leach & P. Coulibaly 10.1016/j.advwatres.2019.103443
64. Extreme rainfall events in the Northeastern USA become more frequent with rising temperatures, but their intensity distribution remains stable H. Olafsdottir et al. 10.1175/JCLI-D-20-0938.1
65. Nonstationary modelling of significant wave height using time series decomposition method W. Huang et al. 10.1016/j.oceaneng.2024.118731
66. Web-Based Tool for the Development of Intensity Duration Frequency Curves under Changing Climate at Gauged and Ungauged Locations A. Schardong et al. 10.3390/w12051243
67. Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. 10.1016/j.jhydrol.2019.123927
68. Projected Changes in the Frequency of Peak Flows along the Athabasca River: Sensitivity of Results to Statistical Methods of Analysis Y. Dibike et al. 10.3390/cli7070088
69. Detection and attribution of urbanization impact on summer extreme heat based on nonstationary models in the Yangtze River Delta, China P. Xu et al. 10.1016/j.uclim.2022.101376
70. Pooled frequency analysis for intensity–duration–frequency curve estimation A. Requena et al. 10.1002/hyp.13456
71. Assessing the Impact of Climate Change on an Ungauged Watershed in the Congo River Basin S. Masamba et al. 10.3390/w16192825
72. Evaluating the Performance of a Max-Stable Process for Estimating Intensity-Duration-Frequency Curves O. Jurado et al. 10.3390/w12123314
73. Quantifying the Impact of Climate Change on Peak Stream Discharge for Watersheds of Varying Sizes in the Coastal Plain of Virginia M. Morsy et al. 10.1061/JHYEFF.HEENG-6114
74. Curvas de Intensidad-Duración-Frecuencia para la ciudad de Santa Clara, Cuba C. Castillo-García et al. 10.24850/j-tyca-15-01-09
75. Propagation of meteorological to hydrological drought for different climate regions in China Y. Ding et al. 10.1016/j.jenvman.2021.111980
76. 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
77. A simplified MEV formulation to model extremes emerging from multiple nonstationary underlying processes F. Marra et al. 10.1016/j.advwatres.2019.04.002
78. Assessment of future changes in intensity-duration-frequency curves for Southern Ontario using North American (NA)-CORDEX models with nonstationary methods P. Ganguli & P. Coulibaly 10.1016/j.ejrh.2018.12.007
79. Assessment of dynamic drought-induced ecosystem risk: Integrating time-varying hazard frequency, exposure and vulnerability W. Fang et al. 10.1016/j.jenvman.2023.118176
80. Assessing the Return Periods and Hydroclimatic Parameters for Rainwater Drainage in the Coastal City of Cotonou in Benin under Climate Variability D. Badou et al. 10.1155/2023/1752805
81. 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
82. A Bayesian modelling approach for assessing non-stationarity in annual maximum rainfall under a changing climate T. Zelalem & K. Kasiviswanathan 10.1080/02626667.2023.2218550
83. Bringing realism into a dynamic copula-based non-stationary intensity-duration model R. Vinnarasi & C. Dhanya 10.1016/j.advwatres.2019.06.009