76 citations as recorded by crossref.

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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
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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. Intensity–Duration–Frequency Curves in a Data-Rich Era: A Review S. Lanciotti et al. 10.3390/w14223705
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14. Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. 10.3390/hydrology8040150
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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. 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
18. Incorporation of non-stationarity in precipitation intensity-duration-frequency curves for Kerala, India R. Soumya et al. 10.1088/1755-1315/491/1/012013
19. Intensity-Duration-Frequency Curves at Ungauged Sites in a Changing Climate for Sustainable Stormwater Networks P. Galiatsatou & C. Iliadis 10.3390/su14031229
20. Bivariate frequency analysis of seasonal runoff series under future climate change M. Li et al. 10.1080/02626667.2020.1817927
21. 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
22. Non‐stationary intensity‐duration‐frequency curves integrating information concerning teleconnections and climate change T. Ouarda et al. 10.1002/joc.5953
23. 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
24. 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
25. 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
26. 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
27. Pluvial flood risk and opportunities for resilience B. Rosenzweig et al. 10.1002/wat2.1302
28. 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
29. Updating IDF Curves Under Climate Change: Impact on Rainfall-Induced Runoff in Urban Basins I. Kourtis et al. 10.1007/s11269-022-03252-8
30. Utilizing Entropy-Based Method for Rainfall Network Design in Huaihe River Basin, China J. Liu et al. 10.3390/w15173115
31. Developing the Regional Nonstationary IDF Curves Using NGN-ProNEVA Framework M. Mahmoudi et al. 10.1007/s11269-023-03619-5
32. Temporal change of extreme precipitation intensity–duration–frequency relationships in Thailand N. Yamoat et al. 10.2166/wcc.2021.348
33. Depth–Duration–Frequency Relationship Model of Extreme Precipitation in Flood Risk Assessment in the Upper Vistula Basin I. Markiewicz 10.3390/w13233439
34. 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
35. 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
36. Trends, Shifting, or Oscillations? Stochastic Modeling of Nonstationary Time Series for Future Water‐Related Risk Management T. Lee & T. Ouarda 10.1029/2022EF003049
37. Nonoverlapping Block Stratified Random Sampling Approach for Assessment of Stationarity R. Teegavarapu & P. Sharma 10.1061/(ASCE)HE.1943-5584.0002098
38. 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
39. 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
40. Technical guidelines for future intensity–duration–frequency curve estimation in Canada A. Requena et al. 10.1080/07011784.2021.1909501
41. Evaluating Non-Stationarity in Precipitation Intensity-Duration-Frequency Curves for the Dallas–Fort Worth Metroplex, Texas, USA B. Ghimire et al. 10.3390/hydrology10120229
42. Climate change effects on rainfall extreme value distribution: the role of skewness D. De Luca et al. 10.1016/j.jhydrol.2024.130958
43. 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
44. 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
45. Assessing water system vulnerabilities under changing climate conditions using different representations of a hydrological system A. Sharifinejad et al. 10.1080/02626667.2021.2014057
46. An ensemble approach for the analysis of extreme rainfall under climate change in Naples (Italy) R. Padulano et al. 10.1002/hyp.13449
47. Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al. 10.1016/j.enggeo.2021.106372
48. Implications of modeling seasonal differences in the extremal dependence of rainfall maxima O. Jurado et al. 10.1007/s00477-022-02375-z
49. 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
50. 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
51. Convection‐permitting modeling with regional climate models: Latest developments and next steps P. Lucas‐Picher et al. 10.1002/wcc.731
52. Three methods of characterizing climate-induced changes in extreme rainfall: a comparison study M. Maimone et al. 10.2166/wcc.2023.420
53. Investigation of Trends, Temporal Changes in Intensity-Duration-Frequency (IDF) Curves and Extreme Rainfall Events Clustering at Regional Scale Using 5 min Rainfall Data . Bezak & . Mikoš 10.3390/w11102167
54. 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
55. Stationary hydrological frequency analysis coupled with uncertainty assessment under nonstationary scenarios C. Vidrio-Sahagún et al. 10.1016/j.jhydrol.2020.125725
56. Nonstationary bayesian modeling of precipitation extremes in the Beijing-Tianjin-Hebei Region, China X. Song et al. 10.1016/j.atmosres.2020.105006
57. Uncertainty of Rate of Change in Korean Future Rainfall Extremes Using Non-Stationary GEV Model J. Seo et al. 10.3390/atmos12020227
58. Optimal design of low impact development practices in response to climate change S. Ghodsi et al. 10.1016/j.jhydrol.2019.124266
59. 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
60. 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
61. 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
62. 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
63. 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
64. 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
65. Pooled frequency analysis for intensity–duration–frequency curve estimation A. Requena et al. 10.1002/hyp.13456
66. Evaluating the Performance of a Max-Stable Process for Estimating Intensity-Duration-Frequency Curves O. Jurado et al. 10.3390/w12123314
67. 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
68. Curvas de Intensidad-Duración-Frecuencia para la ciudad de Santa Clara, Cuba C. Castillo-García et al. 10.24850/j-tyca-15-01-09
69. Propagation of meteorological to hydrological drought for different climate regions in China Y. Ding et al. 10.1016/j.jenvman.2021.111980
70. 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
71. A simplified MEV formulation to model extremes emerging from multiple nonstationary underlying processes F. Marra et al. 10.1016/j.advwatres.2019.04.002
72. 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
73. 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
74. 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
75. 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
76. Bringing realism into a dynamic copula-based non-stationary intensity-duration model R. Vinnarasi & C. Dhanya 10.1016/j.advwatres.2019.06.009