144 citations as recorded by crossref.

1. Contemporary and Future Characteristics of Precipitation Indices in the Kentucky River Basin S. Chattopadhyay et al. 10.3390/w9020109
2. Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch A. Casanueva et al. 10.1002/asl.978
3. Different Hydroclimate Modelling Approaches Can Lead to a Large Range of Streamflow Projections under Climate Change: Implications for Water Resources Management F. Chiew et al. 10.3390/w14172730
4. Using the Turnover Time Index to Identify Potential Strategic Groundwater Resources to Manage Droughts within Continental Spain D. Pulido-Velazquez et al. 10.3390/w12113281
5. Uncertainty Analysis of Climate Change Impact on River Flow Extremes Based on a Large Multi-Model Ensemble J. De Niel et al. 10.1007/s11269-019-02370-0
6. Producing reliable hydrologic scenarios from raw climate model outputs without resorting to meteorological observations S. Ricard et al. 10.5194/hess-27-2375-2023
7. Hydroelectric production from Brazil's São Francisco River could cease due to climate change and inter-annual variability P. de Jong et al. 10.1016/j.scitotenv.2018.03.256
8. Bias correction and downscaling of future RCM precipitation projections using a MOS‐Analog technique M. Turco et al. 10.1002/2016JD025724
9. Review of Wind Models at a Local Scale: Advantages and Disadvantages F. Martinez-García et al. 10.3390/jmse9030318
10. Influence of climate change on the ice conditions of the Curonian Lagoon D. Jakimavičius et al. 10.1016/j.oceano.2019.10.003
11. Novel statistical downscaling emulator for precipitation projections using deep Convolutional Autoencoder over Northern Africa H. Babaousmail et al. 10.1016/j.jastp.2021.105614
12. Estimating Current and Future Rainfall Erosivity in Greece Using Regional Climate Models and Spatial Quantile Regression Forests K. Vantas et al. 10.3390/w12030687
13. Future Projection of Precipitation and Temperature Extremes Using Change Factor Method over a River Basin: Case Study J. Das & U. Nanduri 10.1061/(ASCE)HZ.2153-5515.0000399
14. Influence of climate change on flood magnitude and seasonality in the Arga River catchment in Spain C. Garijo & L. Mediero 10.1007/s11600-018-0143-0
15. Local impact analysis of climate change on precipitation extremes: are high-resolution climate models needed for realistic simulations? H. Tabari et al. 10.5194/hess-20-3843-2016
16. Performance of the CORDEX-SA Regional Climate Models in Simulating Summer Monsoon Rainfall and Future Projections over East India V. Barde et al. 10.1007/s00024-022-03225-3
17. Greenhouse gas scenario sensitivity and uncertainties in precipitation projections for central Belgium E. Van Uytven & P. Willems 10.1016/j.jhydrol.2018.01.018
18. An Integrated Statistical Method to Generate Potential Future Climate Scenarios to Analyse Droughts A. Collados-Lara et al. 10.3390/w10091224
19. Improving precipitation estimates for Turkey with multimodel ensemble: a comparison of nonlinear artificial neural network method with linear methods B. Mesta et al. 10.1007/s00521-024-09598-x
20. Projected changes in flood indices in selected catchments in Poland in the 21st century M. Osuch et al. 10.1007/s00477-016-1296-5
21. Impacts of climate change on intensity–duration–frequency curves in the rainiest city (Rize) of Turkey O. Şen & E. Kahya 10.1007/s00704-021-03592-2
22. Integrated Modeling Approach for the Development of Climate-Informed, Actionable Information D. Judi et al. 10.3390/w10060775
23. Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods L. Sun & Y. Lan 10.1002/joc.6769
24. A distributed cellular automata model to simulate potential future impacts of climate change on snow cover area A. Collados-Lara et al. 10.1016/j.advwatres.2018.12.010
25. Hydro-Meteorological Drought Projections into the 21-st Century for Selected Polish Catchments H. Meresa et al. 10.3390/w8050206
26. A universal multifractal approach to assessment of spatiotemporal extreme precipitation over the Loess Plateau of China J. Zhang et al. 10.5194/hess-24-809-2020
27. Optimization Assessment of Projection Methods of Climate Change for Discrepancies between North and South China Y. Lun et al. 10.3390/w12113106
28. Towards hyper-resolution land-surface modeling of surface and root zone soil moisture T. Rouf et al. 10.1016/j.jhydrol.2020.125945
29. Added value of an atmospheric circulation pattern‐based statistical downscaling approach for daily precipitation distributions in complex terrain B. Böker et al. 10.1002/joc.8136
30. Multiscale numerical assessment of urban overheating under climate projections: A review J. Zou et al. 10.1016/j.uclim.2023.101551
31. An intercomparison of multiple statistical downscaling methods for daily precipitation and temperature over China: future climate projections Y. Yang et al. 10.1007/s00382-018-4543-2
32. Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes M. Switanek et al. 10.5194/hess-21-2649-2017
33. Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. 10.2166/nh.2022.137
34. Statistical downscaling of future temperature and precipitation projections in Iraq under climate change scenarios B. Hashim et al. 10.1016/j.pce.2024.103647
35. A semi‐objective circulation pattern classification scheme for the semi‐arid Northeast Brazil P. Laux et al. 10.1002/joc.6608
36. Climate change effects on extreme flows of water supply area in Istanbul: utility of regional climate models and downscaling method F. Kara & I. Yucel 10.1007/s10661-015-4808-8
37. 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. 10.1007/s13143-016-0010-3
38. Bias correction and spatial disaggregation of satellite-based data for the detection of rainfall seasonality indices W. Atiah et al. 10.1016/j.heliyon.2023.e17604
39. Uncertainty of Intensity–Duration–Frequency (IDF) curves due to varied climate baseline periods S. Fadhel et al. 10.1016/j.jhydrol.2017.02.013
40. When timing matters-considering changing temporal structures in runoff response surfaces K. Vormoor et al. 10.1007/s10584-017-1940-1
41. Future meteorological drought conditions in southwestern Iran based on the NEX-GDDP climate dataset S. Koohi & H. Ramezani Etedali 10.1007/s40333-023-0097-1
42. 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. 10.1080/02626667.2015.1133911
43. Evaluating the performance of climate models in reproducing the hydrological characteristics of rainfall events J. Song et al. 10.1080/02626667.2020.1750616
44. Bias Correction of Ocean Bottom Temperature and Salinity Simulations From a Regional Circulation Model Using Regression Kriging J. Chang et al. 10.1029/2020JC017140
45. Does applying quantile mapping to subsamples improve the bias correction of daily precipitation? P. Reiter et al. 10.1002/joc.5283
46. Uncertainty introduced by flood frequency analysis in projections for changes in flood magnitudes under a future climate in Norway D. Lawrence 10.1016/j.ejrh.2020.100675
47. Evaluating future stress due to combined effect of climate change and rapid urbanization for Pasig-Marikina River, Manila P. Kumar et al. 10.1016/j.gsd.2018.01.004
48. 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. 10.3390/w9060410
49. Impact of climate change on the Curonian Lagoon water balance components, salinity and water temperature in the 21st century D. Jakimavičius et al. 10.1016/j.oceano.2018.02.003
50. Climate Change Impact on Hydropower Resources in Gauged and Ungauged Lithuanian River Catchments D. Jakimavičius et al. 10.3390/w12113265
51. High-resolution projections of ambient heat for major European cities using different heat metrics C. Schwingshackl et al. 10.5194/nhess-24-331-2024
52. 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 10.1016/j.scitotenv.2022.155775
53. Simulation of climate characteristics and extremes of the Volta Basin using CCLM and RCA regional climate models D. Darko et al. 10.1007/s00704-018-2485-6
54. Projection of spatial and temporal changes of rainfall in Sarawak of Borneo Island using statistical downscaling of CMIP5 models Z. Sa'adi et al. 10.1016/j.atmosres.2017.08.002
55. Projections of climate change indices of temperature and precipitation from an ensemble of bias‐adjusted high‐resolution EURO‐CORDEX regional climate models A. Dosio 10.1002/2015JD024411
56. The critical role of uncertainty in projections of hydrological extremes H. Meresa & R. Romanowicz 10.5194/hess-21-4245-2017
57. Urban flood hazard analysis in present and future climate after statistical downscaling: a case study in Ha Tinh city, Vietnam T. Le et al. 10.1080/1573062X.2021.1877744
58. GCM‐related uncertainty in forecasting irrigation and design water requirement for paddy rice fields S. Lee et al. 10.1002/joc.5244
59. Decomposing the cascade of uncertainty in risk assessments for urban flooding reflecting critical decision-making issues K. Halsnæs & P. Kaspersen 10.1007/s10584-018-2323-y
60. Can local climate variability be explained by weather patterns? A multi-station evaluation for the Rhine basin A. Murawski et al. 10.5194/hess-20-4283-2016
61. Changes in precipitation climatology for the Eastern Mediterranean using CORDEX RCMs, NHRCM and MRI-AGCM B. Mesta et al. 10.1016/j.atmosres.2022.106140
62. Rainbow color map distorts and misleads research in hydrology – guidance for better visualizations and science communication M. Stoelzle & L. Stein 10.5194/hess-25-4549-2021
63. Integrated climate change risk assessment: A practical application for urban flooding during extreme precipitation P. Kaspersen & K. Halsnæs 10.1016/j.cliser.2017.06.012
64. Managing uncertainty in flood protection planning with climate projections B. Dittes et al. 10.5194/hess-22-2511-2018
65. A Bayesian beta distribution model for estimating rainfall IDF curves in a changing climate C. Lima et al. 10.1016/j.jhydrol.2016.06.062
66. Hybrid approach in statistical bias correction of projected precipitation for the frequency analysis of extreme events M. Um et al. 10.1016/j.advwatres.2016.05.021
67. Precipitation intensity–duration–frequency curves for central Belgium with an ensemble of EURO-CORDEX simulations, and associated uncertainties P. Hosseinzadehtalaei et al. 10.1016/j.atmosres.2017.09.015
68. Detection and attribution of extreme precipitation changes from 1961 to 2012 in the Yangtze River Delta in China F. Pei et al. 10.1016/j.catena.2018.05.038
69. Fighting big data and ensemble fatigue in climate change impact studies: Can we turn the ensemble cascade upside down? E. Van Uytven et al. 10.1002/joc.6696
70. Superensembles of raw and bias‐adjusted regional climate models for Mediterranean region, Turkey B. Mesta & E. Kentel 10.1002/joc.7381
71. Evaluation of Relations between Extreme Precipitation and Temperature in Observational Time Series from the Czech Republic M. Martinkova & M. Hanel 10.1155/2016/2975380
72. Assessment of CMIP5 and CORDEX-SA experiments in representing multiscale temperature climatology over central India A. Vishwakarma et al. 10.2166/wpt.2022.098
73. Evaluation of climate change impacts on extreme rainfall events characteristics using a synoptic weather typing-based daily precipitation downscaling model H. Tavakolifar et al. 10.2166/wcc.2017.107
74. Assessment of the uncertainties of global climate models in the evaluation of standardized precipitation and runoff indices: a case study N. Salimian et al. 10.1080/02626667.2021.1937178
75. Estimating daily meteorological data and downscaling climate models over landscapes M. De Cáceres et al. 10.1016/j.envsoft.2018.08.003
76. Developing a framework for attribution analysis of urban pluvial flooding to human-induced climate impacts H. Tabari et al. 10.1016/j.jhydrol.2021.126352
77. 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. 10.1007/s00704-020-03241-0
78. Patterns of Past and Future Droughts in Permanent Lowland Rivers S. Nazarenko et al. 10.3390/w14010071
79. A method for deterministic statistical downscaling of daily precipitation at a monsoonal site in Eastern China Y. Liu et al. 10.1007/s00704-017-2356-6
80. Sensitivity of Surface Urban Energy and Water Balance Scheme (SUEWS) to downscaling of reanalysis forcing data T. Kokkonen et al. 10.1016/j.uclim.2017.05.001
81. Variance analysis of forecasted streamflow maxima in a wet temperate climate N. Al Aamery et al. 10.1016/j.jhydrol.2018.03.038
82. Impacts of climate change on flood volumes over North American catchments A. Ionno et al. 10.1016/j.jhydrol.2024.130688
83. Impact of Climate Change on Extreme Rainfall Events and Pluvial Flooding Risk in the Vojvodina Region (North Serbia) J. Bezdan et al. 10.3390/atmos15040488
84. Comparison of the impacts of urban development and climate change on exposing European cities to pluvial flooding P. Skougaard Kaspersen et al. 10.5194/hess-21-4131-2017
85. Downscaling and uncertainty analysis of future concurrent long-duration dry and hot events in China Y. Yang & J. Tang 10.1007/s10584-023-03481-9
86. Analysis of low flow indices under varying climatic conditions in Poland M. Osuch et al. 10.2166/nh.2017.021
87. Climate change impact on the hydrological budget of a large Mediterranean island S. Nerantzaki et al. 10.1080/02626667.2019.1630741
88. Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. 10.2166/wcc.2023.230
89. On the correlation between precipitation and potential evapotranspiration climate change signals for hydrological impact analyses J. De Niel et al. 10.1080/02626667.2019.1587615
90. The Combined Impact of Hydropower Plants and Climate Change on River Runoff and Fish Habitats in Lowland Watersheds V. Akstinas et al. 10.3390/w13243508
91. Uncertainty of annual runoff projections in Lithuanian rivers under a future climate V. Akstinas et al. 10.2166/nh.2019.004
92. Investigating and predicting spatiotemporal variations in vegetation cover in transitional climate zone: a case study of Gansu (China) Q. He et al. 10.1007/s00704-022-04140-2
93. Assessment of enhanced Kohonen self-organizing map, quantile mapping and copula-based bias-correction approaches for constructing basin-scale rainfall forecasts A. Khatun et al. 10.1080/02626667.2022.2109972
94. Future streamflow along the French part of the Meuse River – a closer look at uncertainties G. Thirel et al. 10.1080/27678490.2025.2484192
95. Hydrologic Impacts of Surface Elevation and Spatial Resolution in Statistical Correction Approaches: Case Study of Flumendosa Basin, Italy E. Perra et al. 10.1061/(ASCE)HE.1943-5584.0001969
96. Bias‐adjustment of high‐resolution temperature CORDEX data over the Carpathian region: Expected changes including the number of summer and frost days C. Torma & A. Kis 10.1002/joc.7654
97. The cost of flooding on housing under climate change in the Philippines: Examining projected damage at the local scale I. Besarra et al. 10.1016/j.jenvman.2025.124966
98. Gridded Statistical Downscaling Based on Interpolation of Parameters and Predictor Locations for Summer Daily Precipitation in North China Y. Liu et al. 10.1175/JAMC-D-18-0231.1
99. High-resolution bias-corrected precipitation data over South Siberia, Russia N. Voropay et al. 10.1016/j.atmosres.2021.105528
100. Transferability of regionalization methods under changing climate X. Yang et al. 10.1016/j.jhydrol.2018.10.030
101. Evaluation of change factor-based statistical downscaling methods for impact analysis in urban hydrology E. Van Uytven et al. 10.1080/1573062X.2020.1828497
102. An intercomparison of multiple statistical downscaling methods for daily precipitation and temperature over China: present climate evaluations Y. Yang et al. 10.1007/s00382-019-04809-x
103. Assessing different sources of uncertainty in hydrological projections of high and low flows: case study for Omerli Basin, Istanbul, Turkey B. Engin et al. 10.1007/s10661-017-6059-3
104. From global circulation to local flood loss: Coupling models across the scales G. Felder et al. 10.1016/j.scitotenv.2018.04.170
105. A Physically Based Atmospheric Variables Downscaling Technique T. Rouf et al. 10.1175/JHM-D-19-0109.1
106. Overview of Observed Clausius-Clapeyron Scaling of Extreme Precipitation in Midlatitudes M. Martinkova & J. Kysely 10.3390/atmos11080786
107. The Development of a Hydrological Drought Index for Lithuania S. Nazarenko et al. 10.3390/w15081512
108. Model output statistics downscaling using support vector machine for the projection of spatial and temporal changes in rainfall of Bangladesh S. Pour et al. 10.1016/j.atmosres.2018.06.006
109. Inter-comparison of statistical downscaling methods for projection of extreme flow indices across Europe Y. Hundecha et al. 10.1016/j.jhydrol.2016.08.033
110. Comparison of Artificial Neural Network and Regression Models for Filling Temporal Gaps of Meteorological Variables Time Series E. Dyukarev 10.3390/app13042646
111. Modelling extreme precipitation projections under the effects of climate change: case study of the Caspian Sea S. Moradian et al. 10.1080/07900627.2024.2400505
112. Addressing the mischaracterization of extreme rainfall in regional climate model simulations – A synoptic pattern based bias correction approach J. Li et al. 10.1016/j.jhydrol.2016.04.070
113. Two Centuries of Monthly Rainfall in Barcelona (NE Spain): Disparity Trends, Correlation of Autumnal Rainfall with the WeMO Index and Its Contribution to Annual Amounts X. Lana et al. 10.3390/cli12100166
114. CLIMACS: A method for stochastic generation of continuous climate projected point rainfall for urban drainage design S. Thorndahl & C. Andersen 10.1016/j.jhydrol.2021.126776
115. Flood hazard assessment using design rainfall under climate change scenarios in the Kelantan River Basin, Malaysia T. Tam et al. 10.1108/IJDRBE-05-2022-0048
116. Assessment of historical and projected changes in extreme temperatures of Balochistan, Pakistan using extreme value theory D. Naeem et al. 10.1007/s10661-024-12512-6
117. Future Projection of Extreme Precipitation Indices over the Indochina Peninsula and South China in CMIP6 Models B. Tang et al. 10.1175/JCLI-D-20-0946.1
118. Change-signal impacts in downscaled data and its influence on hydroclimate projections N. Potter et al. 10.1016/j.jhydrol.2018.06.018
119. Event-based stochastic point rainfall resampling for statistical replication and climate projection of historical rainfall series S. Thorndahl et al. 10.5194/hess-21-4433-2017
120. Performance analysis of LARS-WG and SDSM downscaling models in simulating temperature and precipitation changes in the West of Iran M. Lotfi et al. 10.1007/s40808-022-01393-8
121. A multi‐sensor evaluation of precipitation uncertainty for landslide‐triggering storm events E. Culler et al. 10.1002/hyp.14260
122. Evaluation of change factor methods in downscaling extreme precipitation over India M. VishnuPriya & V. Agilan 10.1016/j.jhydrol.2022.128531
123. Extreme precipitation events under climate change in the Iberian Peninsula S. Cardoso Pereira et al. 10.1002/joc.6269
124. Assessment of future flood inundations under climate and land use change scenarios in the Ciliwung River Basin, Jakarta B. Mishra et al. 10.1111/jfr3.12311
125. Comparison of statistical downscaling methods with respect to extreme events over Europe: Validation results from the perfect predictor experiment of the COST Action VALUE E. Hertig et al. 10.1002/joc.5469
126. Uncovering the shortcomings of a weather typing method E. Van Uytven et al. 10.5194/hess-24-2671-2020
127. Identifying hotspots cities vulnerable to climate change in Pakistan under CMIP5 climate projections S. Ali et al. 10.1002/joc.6638
128. Intercomparison of projected changes in climate extremes for South Korea: application of trend preserving statistical downscaling methods to the CMIP5 ensemble H. Eum & A. Cannon 10.1002/joc.4924
129. Identifying climate change impacts on water resources in Xinjiang, China M. Luo et al. 10.1016/j.scitotenv.2019.04.297
130. A Downscaling Intercomparison Study: The Representation of Slope- and Ridge-Scale Processes in Models of Different Complexity B. Kruyt et al. 10.3389/feart.2022.789332
131. Comparison of statistical downscaling methods for climate change impact analysis on precipitation-driven drought H. Tabari et al. 10.5194/hess-25-3493-2021
132. Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan S. Ali et al. 10.1016/j.atmosres.2019.02.009
133. Assessment of the Impact of Climate Change on Drought Characteristics in the Hwanghae Plain, North Korea Using Time Series SPI and SPEI: 1981–2100 S. Lee et al. 10.3390/w9080579
134. Analysing Urban Flooding Risk with CMIP5 and CMIP6 Climate Projections R. Oyelakin et al. 10.3390/w16030474
135. Trends in projections of standardized precipitation indices in a future climate in Poland M. Osuch et al. 10.5194/hess-20-1947-2016
136. Improved Simulation of Peak Flows under Climate Change: Postprocessing or Composite Objective Calibration? X. Zhang et al. 10.1175/JHM-D-14-0218.1
137. An improved bias correction method of daily rainfall data using a sliding window technique for climate change impact assessment P. Smitha et al. 10.1016/j.jhydrol.2017.11.010
138. Comparative analysis of bias correction techniques for future climate assessment using CMIP6 hydrological variables for the Indian subcontinent M. Shah et al. 10.1007/s11600-024-01378-4
139. Downscaling future projections of monthly precipitation in a catchment with varying physiography N. Chithra & S. Thampi 10.1080/09715010.2016.1264895
140. Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes? A. Cannon et al. 10.1175/JCLI-D-14-00754.1
141. Assessing the impact of projected climate change on the future of grape growth and wine production in the Niagara Peninsula (Canada) M. Hewer & W. Gough 10.1080/09571264.2019.1699781
142. Impacts of climate change on spatial drought distribution in the Mediterranean Basin (Turkey): different climate models and downscaling methods Z. Erkol et al. 10.1007/s00704-024-04867-0
143. Key drivers and economic consequences of high‑end climate scenarios: uncertainties and risks K. Halsnæs et al. 10.3354/cr01308
144. Robust intensification of hydroclimatic intensity over East Asia from multi-model ensemble regional projections E. Im et al. 10.1007/s00704-016-1846-2