89 citations as recorded by crossref.

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39. 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
40. Resilient agriculture: water management for climate change adaptation in Lower Saxony R. Cotera et al. https://doi.org/10.2166/wcc.2024.455
41. Bias-corrected UKCP18 Convection-permitting model projections for England Q. Zha et al. https://doi.org/10.5194/hess-30-2395-2026
42. A stacked generalization-based multi-model ensemble framework for precipitation downscaling and drought characterization in a semi-arid region A. Mirdarsoltany et al. https://doi.org/10.1007/s11069-026-08147-0
43. Projected climatic drought events in drought-prone cities: Insights from high-resolution downscaled CMIP6 data X. Li et al. https://doi.org/10.1016/j.cliser.2024.100488
44. 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
45. A Comparison of the Statistical Downscaling and Long-Short-Term-Memory Artificial Neural Network Models for Long-Term Temperature and Precipitations Forecasting N. Fouotsa Manfouo et al. https://doi.org/10.3390/atmos14040708
46. 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
47. Dam System and Reservoir Operational Safety: A Meta-Research A. Badr et al. https://doi.org/10.3390/w15193427
48. High-resolution snow water equivalent estimation: a data-driven method for localized downscaling of climate data F. Zakeri et al. https://doi.org/10.5194/hess-29-6935-2025
49. Potential impact of precipitation temporal structure on meteorological drought and vegetation condition: A case study on Qinghai-Tibet Plateau H. Lu et al. https://doi.org/10.1016/j.ejrh.2024.102048
50. 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
51. 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
52. 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
53. 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
54. 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
55. 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
56. Statistical downscaling of precipitation using inclusive multiple modelling (IMM) at two levels S. Sadeghfam et al. https://doi.org/10.2166/wcc.2021.106
57. 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
58. 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
59. A hybrid machine learning-based past performance and envelope approach for rainfall projection in Sarawak, Malaysia Z. Sa'adi et al. https://doi.org/10.1016/j.uclim.2025.102442
60. 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
61. 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
62. 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
63. Multi-Model Ensemble Enhances the Spatiotemporal Comprehensive Performance of Regional Climate in China Y. Wang et al. https://doi.org/10.3390/rs17040582
64. 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
65. 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
66. A novel statistical downscaling approach for analyzing daily precipitation and extremes under the impact of climate change: Application to an arid region Q. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128730
67. Catchment‐scale skill assessment of seasonal precipitation forecasts across South Korea Y. Lee et al. https://doi.org/10.1002/joc.8134
68. Understanding Future Climate in the Upper Awash Basin (UASB) with Selected Climate Model Outputs under CMIP6 Y. Balcha et al. https://doi.org/10.3390/cli10120185
69. 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
70. Assessing downscaling techniques for frequency analysis, total precipitation and rainy day estimation in CMIP6 simulations over hydrological years D. Jimenez et al. https://doi.org/10.5194/hess-28-1981-2024
71. 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
72. 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
73. Projections of precipitation extremes based on bias‐corrected Coupled Model Intercomparison Project phase 6 models ensemble over southern Africa K. Lim Kam Sian et al. https://doi.org/10.1002/joc.7707
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76. Ecophysiological Response of Vitis vinifera L. in an Urban Agrosystem: Preliminary Assessment of Genetic Variability E. Brunori et al. https://doi.org/10.3390/plants11223026
77. Water resource vulnerabilities from climate-induced tipping point behaviour in runoff volumes and seasonality in the region of the ‘Karakoram Anomaly’: A snow-glacier melt perspective J. Ougahi & J. Rowan https://doi.org/10.1016/j.ejrh.2025.102386
78. 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
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88. Observed and Future Precipitation and Evapotranspiration in Water Management Zones of Uganda: CMIP6 Projections C. Onyutha et al. https://doi.org/10.3390/atmos12070887
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