54 citations as recorded by crossref.

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22. Deep‐learning‐based downscaling of precipitation in the middle reaches of the Yellow River using residual‐based CNNs H. Fu et al. 10.1002/qj.4759
23. Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions T. Kim et al. 10.1038/s41597-025-05366-1
24. Downscaling Seasonal Precipitation Forecasts over East Africa with Deep Convolutional Neural Networks T. Asfaw & J. Luo 10.1007/s00376-023-3029-2
25. Dynamic effect of climate change on flood damage cost in the Andean region of Colombia using an ARDL-ECM model and climate change projections C. Rodriguez-Espinosa et al. 10.1016/j.scs.2025.106309
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29. 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
30. 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
31. Using Machine Learning to Cut the Cost of Dynamical Downscaling S. Hobeichi et al. 10.1029/2022EF003291
32. Projected Near-Surface Wind Speed Trends in Lithuania J. Jankevičienė & A. Kanapickas 10.3390/en14175425
33. Building and urban simulation under future climate: A novel statistical downscaling method for future hourly weather data generation P. Shen 10.1007/s12273-025-1277-z
34. On the use of convolutional neural networks for downscaling daily temperatures over southern South America in a climate change scenario R. Balmaceda-Huarte et al. 10.1007/s00382-023-06912-6
35. CCdownscaling: A Python package for multivariable statistical climate model downscaling A. Polasky et al. 10.1016/j.envsoft.2023.105712
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39. Assessing Three Perfect Prognosis Methods for Statistical Downscaling of Climate Change Precipitation Scenarios M. Legasa et al. 10.1029/2022GL102525
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41. An improved deep learning procedure for statistical downscaling of climate data A. Kheir et al. 10.1016/j.heliyon.2023.e18200
42. Spatio-Temporal Interpolation and Bias Correction Ordering Analysis for Hydrological Simulations: An Assessment on a Mountainous River Basin C. Skoulikaris et al. 10.3390/w14040660
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44. High-Resolution Deep-Learning and Dynamical Climate Downscaling for Impact Modeling in Southeast South America M. Bettolli et al. 10.1007/s41748-025-00661-8
45. 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
46. Regional climate projections of daily extreme temperatures in Argentina applying statistical downscaling to CMIP5 and CMIP6 models R. Balmaceda-Huarte et al. 10.1007/s00382-024-07147-9
47. Investigation of The Effect of Climate Change on Extreme Precipitation: Tekirdağ Case S. ORUC 10.31807/tjwsm.746134
48. Review of Wind Models at a Local Scale: Advantages and Disadvantages F. Martinez-García et al. 10.3390/jmse9030318
49. 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
50. 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
51. Statistical Downscaling of Precipitation in the South and Southeast of Mexico M. Andrade-Velázquez & M. Montero-Martínez 10.3390/cli11090186
52. 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
53. 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
54. Climate change projections of temperature and precipitation in Chile based on statistical downscaling D. Araya-Osses et al. 10.1007/s00382-020-05231-4