102 citations as recorded by crossref.

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22. Climate change impacts on hydrometeorological and river hydrological extremes in Quito, Ecuador S. Núñez Mejía et al. https://doi.org/10.1016/j.ejrh.2023.101522
23. Integrating multi-scale precipitation variability into ensemble modeling using maximum overlap discrete wavelet transform for improved drought projections under emission scenarios H. Abbas et al. https://doi.org/10.1007/s00704-026-06036-x
24. Total nitrogen and phosphorus loads in surface runoff from urban land use (city of Lublin) under climate change E. Szalińska et al. https://doi.org/10.1007/s11356-024-34365-9
25. Projections of precipitation change from CMIP6 based on a new downscaling method in the Poyang Lake basin, China N. Zhao et al. https://doi.org/10.1016/j.ejrh.2022.101138
26. Trend analysis of historical and future precipitation projections over a diverse topographic region of Khyber Pakhtunkhwa using SDSM G. Rahman et al. https://doi.org/10.2166/wcc.2022.160
27. Climate Change Effects on Rainfall Intensity–Duration–Frequency (IDF) Curves for the Lake Erie Coast Using Various Climate Models S. Mainali & S. Sharma https://doi.org/10.3390/w15234063
28. Bias-corrected UKCP18 Convection-permitting model projections for England Q. Zha et al. https://doi.org/10.5194/hess-30-2395-2026
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30. Projection of Extreme Temperature Events over the Mediterranean and Sahara Using Bias-Corrected CMIP6 Models H. Babaousmail et al. https://doi.org/10.3390/atmos13050741
31. The skill of statistical downscaling in future climate with high-resolution climate models as pseudo-reality S. Mendoza Paz & P. Willems https://doi.org/10.1016/j.ejrh.2023.101477
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34. Evaluating changes in flood frequency due to climate change in the Western Cape, South Africa K. Pillay & M. Simatele https://doi.org/10.1007/s00477-024-02786-0
35. ECHIDNA: Extreme Climate Historical and Future Indices Data under Numerous Approaches across Major Chinese River Basins Based on CMIP6 Multi-Model Ensemble L. Xinlong et al. https://doi.org/10.1038/s41597-026-07510-x
36. Gazing into the flames: A guide to assessing the impacts of climate change on landscape fire H. Clarke et al. https://doi.org/10.1126/sciadv.adz2429
37. Measure-correlate-predict methods to improve the assessment of wind and wave energy availability at a semi-exposed coastal area G. Ayuso-Virgili et al. https://doi.org/10.1016/j.energy.2024.132904
38. Regional impacts of solar radiation modification on surface temperature and precipitation in Mainland Southeast Asia and the adjacent oceans P. Narenpitak et al. https://doi.org/10.1038/s41598-024-73149-6
39. Downscaling precipitation and temperature in the Andes: applied methods and performance—a systematic review protocol S. Núñez Mejía et al. https://doi.org/10.1186/s13750-023-00323-0
40. A multi-scenario ensemble approach incorporating stepwise cluster analysis to reduce uncertainty in large-scale watershed precipitation projections: a case study of Pearl River Basin, South China Z. Qi et al. https://doi.org/10.1007/s11356-024-35013-y
41. Uncertainties in water balance and low flow assessment along the network of navigable rivers and canals in Flanders L. Breugelmans & P. Willems https://doi.org/10.1016/j.ejrh.2026.103789
42. Projected changes in meteorological drought over East Africa inferred from bias-adjusted CMIP6 models B. Ayugi et al. https://doi.org/10.1007/s11069-022-05341-8
43. Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting X. Meng et al. https://doi.org/10.1007/s10489-024-05504-z
44. Comparison of precipitation projections of CMIP5 and CMIP6 global climate models over Yulin, China M. Shiru et al. https://doi.org/10.1007/s00704-021-03823-6
45. 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
46. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring A. Khoshnazar et al. https://doi.org/10.2166/nh.2022.062
47. Multi-Model Ensemble Enhances the Spatiotemporal Comprehensive Performance of Regional Climate in China Y. Wang et al. https://doi.org/10.3390/rs17040582
48. Assessment of climate change impacts on crop and irrigation water demand in the Awash River basin of Ethiopia using CMIP6 models E. Meskelu et al. https://doi.org/10.1007/s43832-025-00307-w
49. Evaluation and prediction of future droughts with multi-model ensembling of four models under CMIP6 scenarios over Iraq Y. Abduljaleel et al. https://doi.org/10.1007/s00704-023-04595-x
50. Catchment‐scale skill assessment of seasonal precipitation forecasts across South Korea Y. Lee et al. https://doi.org/10.1002/joc.8134
51. Comparative analysis of bias correction methods for projecting extreme precipitation and temeprature indices in Pakistan Z. Ali et al. https://doi.org/10.1016/j.atmosres.2025.107957
52. Accuracy Assessment of Atmospheric Large Eddy Simulations to Support Uncrewed Aircraft Systems Operations at GrandSKY, North Dakota C. Wooton et al. https://doi.org/10.3390/atmos17050468
53. Projection of precipitation extremes in China's mainland based on the statistical downscaled data from 27 GCMs in CMIP6 L. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106462
54. A systematic review of climate downscaling and extremes in Coupled Model Intercomparison Project 6 (CMIP6) E. Devadarshini et al. https://doi.org/10.1016/j.envdev.2025.101280
55. Advances in Resilience Assessment and Adaptive Strategies for Watershed Non-Point Source Pollution Systems Under Climate Change B. Liu et al. https://doi.org/10.3390/su18136917
56. Risk assessment of agricultural green water security in Northeast China under climate change J. Sun et al. https://doi.org/10.1007/s11430-023-1278-2
57. Evaluation and comparison of the performances of the CMIP5 and CMIP6 models in reproducing extreme rainfall in the Upper Blue Nile basin of Ethiopia H. Belay et al. https://doi.org/10.1007/s00704-024-05187-z
58. Moving statistic method (MSM) for quantification of changes in precipitation intensity and dry periods caused by climate change and demonstration on major U.S. cities B. Barkdoll https://doi.org/10.1007/s40899-023-00880-9
59. Assessing blue-green infrastructures for urban flood and drought mitigation under changing climate scenarios X. Wu & P. Willems https://doi.org/10.1016/j.ejrh.2025.102798
60. Climate Change and Florida Groundwater Management—Actionable Data and Adaptations R. Maliva https://doi.org/10.3390/w17111572
61. Improving Daily CMIP6 Precipitation in Southern Africa Through Bias Correction—Part 1: Spatiotemporal Characteristics A. Addisuu et al. https://doi.org/10.3390/cli13050095
62. Observed and Future Precipitation and Evapotranspiration in Water Management Zones of Uganda: CMIP6 Projections C. Onyutha et al. https://doi.org/10.3390/atmos12070887
63. Changes in Precipitation Patterns in Poland Derived From Projected Downscaled Future Climate Data From CMIP5 and CMIP6 A. Rutkowska et al. https://doi.org/10.1002/joc.8822
64. Correcting dry/wet classification bias in precipitation downscaling via generative adversarial networks S. Singh et al. https://doi.org/10.1017/eds.2026.10039
65. CMIP6 multi-model projections and glacier-explicit hydrological modelling for seasonal runoff shifts in the Hunza River Basin H. Batool et al. https://doi.org/10.1007/s00703-026-01149-4
66. WindHCT: context and local hybrid CNN Transformer for wind speed super-resolution W. Jo et al. https://doi.org/10.1007/s44443-026-01070-1
67. Comprehensive inter-comparison of generative AI models for super-resolution precipitation downscaling across hydroclimatic regimes S. Singh et al. https://doi.org/10.5194/gmd-19-7545-2026
68. Lack of clear standards and usable comparisons of downscaled climate projections pose a roadblock for US climate discovery and adaptation S. Hartke et al. https://doi.org/10.1088/1748-9326/adc74e
69. Real-time integrated water availability – Salt intrusion modelling and management during droughts D. Bertels et al. https://doi.org/10.1016/j.jhydrol.2024.131894
70. Impact of climate change on blue and green water availability using bias corrected CMIP6 ensemble and SWAT models at Keleta catchment, Awash basin, Ethiopia E. Meskelu et al. https://doi.org/10.2166/wcc.2026.017
71. Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin X. Li et al. https://doi.org/10.1016/j.jhydrol.2023.130510
72. Quantifying the impact of climate change and extreme heat on rice in the United States S. Li et al. https://doi.org/10.1016/j.agrformet.2024.110145
73. An assessment of the Statistical Bias Correction Techniques for CSIRO-Mk 3–6-0 model Rainfall and Temperature in Punjab, India A. Krishna et al. https://doi.org/10.1007/s00704-025-05613-w
74. Evaluating the enhanced benefits of multi-model ensemble mean from NEX-GDDP-CMIP6 versus native CMIP6 Models in accurately representing historical temperature patterns in South America H. Arregocés et al. https://doi.org/10.1016/j.envc.2025.101373
75. Methods for assessing climate uncertainty in energy system models — A systematic literature review L. Plaga & V. Bertsch https://doi.org/10.1016/j.apenergy.2022.120384
76. Future Drought Dynamics in Semi-Arid Central Türkiye Using CMIP6 Scenario-Based Simulations A. Çağlar et al. https://doi.org/10.1007/s41742-026-01208-z
77. Statistical downscaling of climate variables for local forecasts and applications to improve climate change prediction in upper Blue Nile Basin A. Bulti & G. Yutura https://doi.org/10.1016/j.pce.2025.103867
78. Deep-learning-based sub-seasonal precipitation and streamflow ensemble forecasting over the source region of the Yangtze River N. Dong et al. https://doi.org/10.5194/hess-29-2023-2025
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80. Uncovering the strengths and weaknesses of an ensemble of quantile mapping methods for downscaling precipitation change in Southern Africa S. Mendoza Paz & P. Willems https://doi.org/10.1016/j.ejrh.2022.101104
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