144 citations as recorded by crossref.

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8. Hydroelectric production from Brazil's São Francisco River could cease due to climate change and inter-annual variability P. de Jong et al. https://doi.org/10.1016/j.scitotenv.2018.03.256
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19. A sub-seasonal to seasonal climate forecast informed irrigation scheduling tool for the Contiguous United States H. Shi et al. https://doi.org/10.1016/j.envsoft.2025.106819
20. Greenhouse gas scenario sensitivity and uncertainties in precipitation projections for central Belgium E. Van Uytven & P. Willems https://doi.org/10.1016/j.jhydrol.2018.01.018
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24. Impacts of climate change on intensity–duration–frequency curves in the rainiest city (Rize) of Turkey O. Şen & E. Kahya https://doi.org/10.1007/s00704-021-03592-2
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29. A universal multifractal approach to assessment of spatiotemporal extreme precipitation over the Loess Plateau of China J. Zhang et al. https://doi.org/10.5194/hess-24-809-2020
30. Optimization Assessment of Projection Methods of Climate Change for Discrepancies between North and South China Y. Lun et al. https://doi.org/10.3390/w12113106
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38. Statistical downscaling of future temperature and precipitation projections in Iraq under climate change scenarios B. Hashim et al. https://doi.org/10.1016/j.pce.2024.103647
39. A semi‐objective circulation pattern classification scheme for the semi‐arid Northeast Brazil P. Laux et al. https://doi.org/10.1002/joc.6608
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41. Statistical downscaling for daily precipitation in Korea using combined PRISM, RCM, and quantile mapping: Part 1, methodology and evaluation in historical simulation M. Kim et al. https://doi.org/10.1007/s13143-016-0010-3
42. Bias correction and spatial disaggregation of satellite-based data for the detection of rainfall seasonality indices W. Atiah et al. https://doi.org/10.1016/j.heliyon.2023.e17604
43. Uncertainty of Intensity–Duration–Frequency (IDF) curves due to varied climate baseline periods S. Fadhel et al. https://doi.org/10.1016/j.jhydrol.2017.02.013
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45. Future meteorological drought conditions in southwestern Iran based on the NEX-GDDP climate dataset S. Koohi & H. Ramezani Etedali https://doi.org/10.1007/s40333-023-0097-1
46. Climate change impacts on extreme precipitation of water supply area in Istanbul: use of ensemble climate modelling and geo-statistical downscaling F. Kara et al. https://doi.org/10.1080/02626667.2015.1133911
47. Evaluating the performance of climate models in reproducing the hydrological characteristics of rainfall events J. Song et al. https://doi.org/10.1080/02626667.2020.1750616
48. Bias Correction of Ocean Bottom Temperature and Salinity Simulations From a Regional Circulation Model Using Regression Kriging J. Chang et al. https://doi.org/10.1029/2020JC017140
49. Does applying quantile mapping to subsamples improve the bias correction of daily precipitation? P. Reiter et al. https://doi.org/10.1002/joc.5283
50. Uncertainty introduced by flood frequency analysis in projections for changes in flood magnitudes under a future climate in Norway D. Lawrence https://doi.org/10.1016/j.ejrh.2020.100675
51. Evaluating future stress due to combined effect of climate change and rapid urbanization for Pasig-Marikina River, Manila P. Kumar et al. https://doi.org/10.1016/j.gsd.2018.01.004
52. Current Assessment and Future Outlook for Water Resources Considering Climate Change and a Population Burst: A Case Study of Ciliwung River, Jakarta City, Indonesia P. Kumar et al. https://doi.org/10.3390/w9060410
53. Impact of climate change on the Curonian Lagoon water balance components, salinity and water temperature in the 21st century D. Jakimavičius et al. https://doi.org/10.1016/j.oceano.2018.02.003
54. Climate Change Impact on Hydropower Resources in Gauged and Ungauged Lithuanian River Catchments D. Jakimavičius et al. https://doi.org/10.3390/w12113265
55. High-resolution projections of ambient heat for major European cities using different heat metrics C. Schwingshackl et al. https://doi.org/10.5194/nhess-24-331-2024
56. Climate change simulation and trend analysis of extreme precipitation and floods in the mesoscale Rur catchment in western Germany until 2099 using Statistical Downscaling Model (SDSM) and the Soil & Water Assessment Tool (SWAT model) N. Eingrüber & W. Korres https://doi.org/10.1016/j.scitotenv.2022.155775
57. Simulation of climate characteristics and extremes of the Volta Basin using CCLM and RCA regional climate models D. Darko et al. https://doi.org/10.1007/s00704-018-2485-6
58. Projection of spatial and temporal changes of rainfall in Sarawak of Borneo Island using statistical downscaling of CMIP5 models Z. Sa'adi et al. https://doi.org/10.1016/j.atmosres.2017.08.002
59. Projections of climate change indices of temperature and precipitation from an ensemble of bias‐adjusted high‐resolution EURO‐CORDEX regional climate models A. Dosio https://doi.org/10.1002/2015JD024411
60. The critical role of uncertainty in projections of hydrological extremes H. Meresa & R. Romanowicz https://doi.org/10.5194/hess-21-4245-2017
61. Urban flood hazard analysis in present and future climate after statistical downscaling: a case study in Ha Tinh city, Vietnam T. Le et al. https://doi.org/10.1080/1573062X.2021.1877744
62. GCM‐related uncertainty in forecasting irrigation and design water requirement for paddy rice fields S. Lee et al. https://doi.org/10.1002/joc.5244
63. Decomposing the cascade of uncertainty in risk assessments for urban flooding reflecting critical decision-making issues K. Halsnæs & P. Kaspersen https://doi.org/10.1007/s10584-018-2323-y
64. Can local climate variability be explained by weather patterns? A multi-station evaluation for the Rhine basin A. Murawski et al. https://doi.org/10.5194/hess-20-4283-2016
65. Changes in precipitation climatology for the Eastern Mediterranean using CORDEX RCMs, NHRCM and MRI-AGCM B. Mesta et al. https://doi.org/10.1016/j.atmosres.2022.106140
66. Future projections of wet and dry spells in southern Sweden: The impact of climate model resolution D. An et al. https://doi.org/10.1016/j.atmosres.2025.108547
67. Rainbow color map distorts and misleads research in hydrology – guidance for better visualizations and science communication M. Stoelzle & L. Stein https://doi.org/10.5194/hess-25-4549-2021
68. Integrated climate change risk assessment: A practical application for urban flooding during extreme precipitation P. Kaspersen & K. Halsnæs https://doi.org/10.1016/j.cliser.2017.06.012
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70. A Bayesian beta distribution model for estimating rainfall IDF curves in a changing climate C. Lima et al. https://doi.org/10.1016/j.jhydrol.2016.06.062
71. Hybrid approach in statistical bias correction of projected precipitation for the frequency analysis of extreme events M. Um et al. https://doi.org/10.1016/j.advwatres.2016.05.021
72. Assessing climate change impacts on flood risk in the Yeongsan River Basin, South Korea A. Ashu & J. Kang https://doi.org/10.1038/s41598-025-11921-y
73. Precipitation intensity–duration–frequency curves for central Belgium with an ensemble of EURO-CORDEX simulations, and associated uncertainties P. Hosseinzadehtalaei et al. https://doi.org/10.1016/j.atmosres.2017.09.015
74. Detection and attribution of extreme precipitation changes from 1961 to 2012 in the Yangtze River Delta in China F. Pei et al. https://doi.org/10.1016/j.catena.2018.05.038
75. Fighting big data and ensemble fatigue in climate change impact studies: Can we turn the ensemble cascade upside down? E. Van Uytven et al. https://doi.org/10.1002/joc.6696
76. Superensembles of raw and bias‐adjusted regional climate models for Mediterranean region, Turkey B. Mesta & E. Kentel https://doi.org/10.1002/joc.7381
77. Evaluation of Relations between Extreme Precipitation and Temperature in Observational Time Series from the Czech Republic M. Martinkova & M. Hanel https://doi.org/10.1155/2016/2975380
78. Assessment of CMIP5 and CORDEX-SA experiments in representing multiscale temperature climatology over central India A. Vishwakarma et al. https://doi.org/10.2166/wpt.2022.098
79. Evaluation of climate change impacts on extreme rainfall events characteristics using a synoptic weather typing-based daily precipitation downscaling model H. Tavakolifar et al. https://doi.org/10.2166/wcc.2017.107
80. Assessment of the uncertainties of global climate models in the evaluation of standardized precipitation and runoff indices: a case study N. Salimian et al. https://doi.org/10.1080/02626667.2021.1937178
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82. Developing a framework for attribution analysis of urban pluvial flooding to human-induced climate impacts H. Tabari et al. https://doi.org/10.1016/j.jhydrol.2021.126352
83. Future projection of the effects of climate change on saffron yield and spatial-temporal distribution of cultivation by incorporating the effect of extreme climate indices S. Kouzegaran et al. https://doi.org/10.1007/s00704-020-03241-0
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