95 citations as recorded by crossref.

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8. 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
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11. 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
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15. 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
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20. Analysis of low flow indices under varying climatic conditions in Poland M. Osuch et al. 10.2166/nh.2017.021
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23. 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
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25. Extreme High‐Temperature Events Over East Asia in 1.5°C and 2°C Warmer Futures: Analysis of NCAR CESM Low‐Warming Experiments D. Li et al. 10.1002/2017GL076753
26. Greenhouse gas scenario sensitivity and uncertainties in precipitation projections for central Belgium E. Van Uytven & P. Willems 10.1016/j.jhydrol.2018.01.018
27. An Integrated Statistical Method to Generate Potential Future Climate Scenarios to Analyse Droughts A. Collados-Lara et al. 10.3390/w10091224
28. 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
29. Projected changes in flood indices in selected catchments in Poland in the 21st century M. Osuch et al. 10.1007/s00477-016-1296-5
30. Uncertainty of annual runoff projections in Lithuanian rivers under a future climate V. Akstinas et al. 10.2166/nh.2019.004
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32. 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
33. 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
34. 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
35. 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
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38. 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
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40. From global circulation to local flood loss: Coupling models across the scales G. Felder et al. 10.1016/j.scitotenv.2018.04.170
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42. 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
43. Overview of Observed Clausius-Clapeyron Scaling of Extreme Precipitation in Midlatitudes M. Martinkova & J. Kysely 10.3390/atmos11080786
44. Optimization Assessment of Projection Methods of Climate Change for Discrepancies between North and South China Y. Lun et al. 10.3390/w12113106
45. Towards Hyper‐Resolution Land‐Surface Modeling of Surface and Root Zone Soil Moisturefu T. Rouf et al. 10.1016/j.jhydrol.2020.125945
46. 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
47. 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
48. 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
49. 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
50. Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes M. Switanek et al. 10.5194/hess-21-2649-2017
51. A semi‐objective circulation pattern classification scheme for the semi‐arid Northeast Brazil P. Laux et al. 10.1002/joc.6608
52. 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
53. 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
54. Uncertainty of Intensity–Duration–Frequency (IDF) curves due to varied climate baseline periods S. Fadhel et al. 10.1016/j.jhydrol.2017.02.013
55. When timing matters-considering changing temporal structures in runoff response surfaces K. Vormoor et al. 10.1007/s10584-017-1940-1
56. 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
57. Evaluating the performance of climate models in reproducing the hydrological characteristics of rainfall events J. Song et al. 10.1080/02626667.2020.1750616
58. Does applying quantile mapping to subsamples improve the bias correction of daily precipitation? P. Reiter et al. 10.1002/joc.5283
59. 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
60. 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
61. 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
62. 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
63. Climate Change Impact on Hydropower Resources in Gauged and Ungauged Lithuanian River Catchments D. Jakimavičius et al. 10.3390/w12113265
64. 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
65. Change-signal impacts in downscaled data and its influence on hydroclimate projections N. Potter et al. 10.1016/j.jhydrol.2018.06.018
66. 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
67. 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
68. 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
69. The critical role of uncertainty in projections of hydrological extremes H. Meresa & R. Romanowicz 10.5194/hess-21-4245-2017
70. GCM-related uncertainty in forecasting irrigation and design water requirement for paddy rice fields S. Lee et al. 10.1002/joc.5244
71. Assessment of the influence of bias correction on meteorological drought projections for Poland M. Osuch et al. 10.5194/hessd-12-10331-2015
72. 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
73. Extreme precipitation events under climate change in the Iberian Peninsula S. Cardoso Pereira et al. 10.1002/joc.6269
74. 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
75. 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
76. 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
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78. Identifying hotspots cities vulnerable to climate change in Pakistan under CMIP5 climate projections S. Ali et al. 10.1002/joc.6638
79. 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
80. Identifying climate change impacts on water resources in Xinjiang, China M. Luo et al. 10.1016/j.scitotenv.2019.04.297
81. 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
82. 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
83. 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
84. Managing uncertainty in flood protection planning with climate projections B. Dittes et al. 10.5194/hess-22-2511-2018
85. 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
86. Trends in projections of standardized precipitation indices in a future climate in Poland M. Osuch et al. 10.5194/hess-20-1947-2016
87. 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
88. Improved Simulation of Peak Flows under Climate Change: Postprocessing or Composite Objective Calibration? X. Zhang et al. 10.1175/JHM-D-14-0218.1
89. 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
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92. 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
93. Key drivers and economic consequences of high‑end climate scenarios: uncertainties and risks K. Halsnæs et al. 10.3354/cr01308
94. Impacts of climate change on hydrological regime and water resources management of the Koshi River Basin, Nepal L. Devkota & D. Gyawali 10.1016/j.ejrh.2015.06.023
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