57 citations as recorded by crossref.

1. dynamAedes: a unified modelling framework for invasive Aedes mosquitoes D. Da Re et al.
2. Deep Learning Downscaling of Precipitation Projection over Central Asia Y. Jiang et al.
3. Comparative analysis of statistical downscaling methods for multi-model decadal climate predictions over Western Europe S. Moreno-Montes et al.
4. Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch A. Casanueva et al.
5. Extremes of Temperature and Precipitation Under CMIP6 Scenarios Projections Over Central Hokkaido, Japan L. Zhou et al.
6. On the need of bias adjustment for more plausible climate change projections of extreme heat M. Iturbide et al.
7. Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin R. Ansari et al.
8. Evaluation of Reanalysis Precipitation Data and Potential Bias Correction Methods for Use in Data-Scarce Areas V. Garibay et al.
9. A Posteriori Random Forests for Stochastic Downscaling of Precipitation by Predicting Probability Distributions M. Legasa et al.
10. pyESDv1.0.1: an open-source Python framework for empirical-statistical downscaling of climate information D. Boateng & S. Mutz
11. Simulating tree growth response to climate change in structurally diverse oak and beech forests `. de Wergifosse et al.
12. pyClim-SDM: Service for generation of statistically downscaled climate change projections supporting national adaptation strategies A. Hernanz et al.
13. High-resolution seasonal climate prediction with stepwise cluster analysis: a case study for Prince Edward Island, Canada R. Nawaz et al.
14. Reduction of the uncertainties in the hydrological projections in Korean river basins using dynamically downscaled climate projections L. Qiu et al.
15. A model output statistic-based probabilistic approach for statistical downscaling of temperature J. George & P. Athira
16. Future projections of climate variables and meteorological drought: Insight from CMIP6 models in Southeast Ethiopia A. Tadase & A. Tekile
17. A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality D. Yang et al.
18. CLIMBra - Climate Change Dataset for Brazil A. Ballarin et al.
19. Added value of downscaling multivariate drought indices for seasonal climatic water-balance assessments E. Duzenli et al.
20. Spring frost risk assessment on winter wheat in South Korea Y. Kim et al.
21. Optimizing Parameters for the Downscaling of Daily Precipitation in Normal and Drought Periods in South Korea S. Kim et al.
22. Near‐Term Forecasting of Terrestrial Mobile Species Distributions for Adaptive Management Under Extreme Weather Events R. Dobson et al.
23. Downscaling atmospheric chemistry simulations with physically consistent deep learning A. Geiss et al.
24. Deep‐learning‐based downscaling of precipitation in the middle reaches of the Yellow River using residual‐based CNNs H. Fu et al.
25. Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions T. Kim et al.
26. Downscaling Seasonal Precipitation Forecasts over East Africa with Deep Convolutional Neural Networks T. Asfaw & J. Luo
27. 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.
28. Review of bias correction methods for climate model outputs in hydrology A. Menapace et al.
29. Statistical downscaling of daily precipitation over southeastern South America: Assessing the performance in extreme events M. Olmo & M. Bettolli
30. Nonstationary Spatiotemporal Projection of Drought Across Seven Climate Regions of China in the 21st Century Based on a Novel Drought Index Z. Yan et al.
31. Weather‐type‐conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone Ó. Mirones et al.
32. 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.
33. Projected changes in daily precipitation, temperature and wet‐bulb temperature across Arizona using statistically downscaled CMIP6 climate models T. Kim & G. Villarini
34. Using Machine Learning to Cut the Cost of Dynamical Downscaling S. Hobeichi et al.
35. Projected Near-Surface Wind Speed Trends in Lithuania J. Jankevičienė & A. Kanapickas
36. Building and urban simulation under future climate: A novel statistical downscaling method for future hourly weather data generation P. Shen
37. 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.
38. Projected impacts of climate and land use changes on streamflow extremes in the upper awash Basin, Ethiopia S. Gebresellase et al.
39. CCdownscaling: A Python package for multivariable statistical climate model downscaling A. Polasky et al.
40. 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.
41. Configuration and intercomparison of deep learning neural models for statistical downscaling J. Baño-Medina et al.
42. Intraseasonal scale ensemble forecasts of precipitation and evapotranspiration for the Madeira River basin using different physical parameterizations W. Gomes et al.
43. Assessing Three Perfect Prognosis Methods for Statistical Downscaling of Climate Change Precipitation Scenarios M. Legasa et al.
44. Assessing statistical downscaling in Argentina: Daily maximum and minimum temperatures R. Balmaceda‐Huarte & M. Bettolli
45. An improved deep learning procedure for statistical downscaling of climate data A. Kheir et al.
46. Spatio-Temporal Interpolation and Bias Correction Ordering Analysis for Hydrological Simulations: An Assessment on a Mountainous River Basin C. Skoulikaris et al.
47. Refining remote sensing precipitation datasets in the South Pacific with an adaptive multi-method calibration approach Ó. Mirones et al.
48. A trend-preserving statistical downscaling framework and its application to China’s offshore wind field H. Wang et al.
49. High-Resolution Deep-Learning and Dynamical Climate Downscaling for Impact Modeling in Southeast South America M. Bettolli et al.
50. A comprehensive comparison of bias correction methods in climate model simulations: Application on ERA5-Land across different temporal resolutions P. Dhawan et al.
51. Regional climate projections of daily extreme temperatures in Argentina applying statistical downscaling to CMIP5 and CMIP6 models R. Balmaceda-Huarte et al.
52. Investigation of The Effect of Climate Change on Extreme Precipitation: Tekirdağ Case S. ORUC
53. Review of Wind Models at a Local Scale: Advantages and Disadvantages F. Martinez-García et al.
54. 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.
55. Statistical downscaling of daily temperature and precipitation over China using deep learning neural models: Localization and comparison with other methods L. Sun & Y. Lan
56. Assessment of climate change impacts on precipitation and stream flow in the Mangla catchment S. Afzal et al.
57. Statistical Downscaling of Precipitation in the South and Southeast of Mexico M. Andrade-Velázquez & M. Montero-Martínez