44 citations as recorded by crossref.

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5. Extremes of Temperature and Precipitation Under CMIP6 Scenarios Projections Over Central Hokkaido, Japan L. Zhou et al. 10.1002/joc.8680
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9. Weather‐type‐conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone Ó. Mirones et al. 10.1002/joc.7905
10. 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
11. 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
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15. Simulating tree growth response to climate change in structurally diverse oak and beech forests `. de Wergifosse et al. 10.1016/j.scitotenv.2021.150422
16. Using Machine Learning to Cut the Cost of Dynamical Downscaling S. Hobeichi et al. 10.1029/2022EF003291
17. Projected Near-Surface Wind Speed Trends in Lithuania J. Jankevičienė & A. Kanapickas 10.3390/en14175425
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20. Reduction of the uncertainties in the hydrological projections in Korean river basins using dynamically downscaled climate projections L. Qiu et al. 10.1007/s00382-022-06201-8
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23. An Intercomparison of Deep-Learning Methods for Super-Resolution Bias-Correction (SRBC) of Indian Summer Monsoon Rainfall (ISMR) Using CORDEX-SA Simulations D. Singh et al. 10.1007/s13143-023-00330-8
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26. Assessing Three Perfect Prognosis Methods for Statistical Downscaling of Climate Change Precipitation Scenarios M. Legasa et al. 10.1029/2022GL102525
27. Assessing statistical downscaling in Argentina: Daily maximum and minimum temperatures R. Balmaceda‐Huarte & M. Bettolli 10.1002/joc.7733
28. An improved deep learning procedure for statistical downscaling of climate data A. Kheir et al. 10.1016/j.heliyon.2023.e18200
29. 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
30. A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality D. Yang et al. 10.1016/j.rser.2022.112348
31. CLIMBra - Climate Change Dataset for Brazil A. Ballarin et al. 10.1038/s41597-023-01956-z
32. Optimizing Parameters for the Downscaling of Daily Precipitation in Normal and Drought Periods in South Korea S. Kim et al. 10.3390/w14071108
33. 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
34. Near‐Term Forecasting of Terrestrial Mobile Species Distributions for Adaptive Management Under Extreme Weather Events R. Dobson et al. 10.1111/gcb.17579
35. 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
36. Investigation of The Effect of Climate Change on Extreme Precipitation: Tekirdağ Case S. ORUC 10.31807/tjwsm.746134
37. Review of Wind Models at a Local Scale: Advantages and Disadvantages F. Martinez-García et al. 10.3390/jmse9030318
38. 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
39. 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
40. Downscaling atmospheric chemistry simulations with physically consistent deep learning A. Geiss et al. 10.5194/gmd-15-6677-2022
41. Statistical Downscaling of Precipitation in the South and Southeast of Mexico M. Andrade-Velázquez & M. Montero-Martínez 10.3390/cli11090186
42. 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
43. 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
44. Climate change projections of temperature and precipitation in Chile based on statistical downscaling D. Araya-Osses et al. 10.1007/s00382-020-05231-4