52 citations as recorded by crossref.

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28. Quantifying the Impact of Climate Change on Peak Stream Discharge for Watersheds of Varying Sizes in the Coastal Plain of Virginia M. Morsy et al. 10.1061/JHYEFF.HEENG-6114
29. Projected changes in daily precipitation, temperature and wet‐bulb temperature across Arizona using statistically downscaled CMIP6 climate models T. Kim & G. Villarini 10.1002/joc.8436
30. Using Machine Learning to Cut the Cost of Dynamical Downscaling S. Hobeichi et al. 10.1029/2022EF003291
31. Projected Near-Surface Wind Speed Trends in Lithuania J. Jankevičienė & A. Kanapickas 10.3390/en14175425
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43. A comprehensive comparison of bias correction methods in climate model simulations: Application on ERA5-Land across different temporal resolutions P. Dhawan et al. 10.1016/j.heliyon.2024.e40352
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46. Review of Wind Models at a Local Scale: Advantages and Disadvantages F. Martinez-García et al. 10.3390/jmse9030318
47. Prospective regional analysis of olive and olive fly in Andalusia under climate change using physiologically based demographic modeling powered by cloud computing L. Ponti et al. 10.1016/j.cliser.2024.100455
48. 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
49. Statistical Downscaling of Precipitation in the South and Southeast of Mexico M. Andrade-Velázquez & M. Montero-Martínez 10.3390/cli11090186
50. On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections J. Baño-Medina et al. 10.1007/s00382-021-05847-0
51. Multi-model ensemble of statistically downscaled GCMs over southeastern South America: historical evaluation and future projections of daily precipitation with focus on extremes O. ME et al. 10.1007/s00382-022-06236-x
52. Climate change projections of temperature and precipitation in Chile based on statistical downscaling D. Araya-Osses et al. 10.1007/s00382-020-05231-4