69 citations as recorded by crossref.

1. Disaster risk assessment in villages near PT ANTAM UBPB West Kalimantan’s bauxite mining area A. Abdillah et al. 10.1088/1755-1315/1314/1/012022
2. Changes in Precipitation Patterns in Poland Derived From Projected Downscaled Future Climate Data From CMIP5 and CMIP6 A. Rutkowska et al. 10.1002/joc.8822
3. Flood hazard assessment using design rainfall under climate change scenarios in the Kelantan River Basin, Malaysia T. Tam et al. 10.1108/IJDRBE-05-2022-0048
4. Investigation of climate change effects on Iraq dust activity using LSTM M. Hamidi & A. Roshani 10.1016/j.apr.2023.101874
5. Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6 D. Lafferty & R. Sriver 10.1038/s41612-023-00486-0
6. Downscaling of Precipitation for Climate Change Projections Using Multiple Machine Learning Techniques: Case Study of Shenzhen City, China J. Han et al. 10.1061/(ASCE)WR.1943-5452.0001612
7. Future changes in mean and extreme precipitation over the Mediterranean and Sahara regions using bias‐corrected CMIP6 models H. Babaousmail et al. 10.1002/joc.7644
8. Lack of clear standards and usable comparisons of downscaled climate projections pose a roadblock for US climate discovery and adaptation S. Hartke et al. 10.1088/1748-9326/adc74e
9. Estimations of potential evapotranspiration from CMIP6 multi-model ensemble over Africa I. Yahaya et al. 10.1016/j.atmosres.2024.107255
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11. Evaluation of Rainfall Distribution Based on the Precipitation Concentration Index: A Case Study over the Selected Summer Rainfall Regions of South Africa C. Botai et al. 10.3390/hydrology12060136
12. Improving Daily CMIP6 Precipitation in Southern Africa Through Bias Correction— Part 2: Representation of Extreme Precipitation A. Addisuu et al. 10.3390/cli13050093
13. Downscaling sea surface height and currents in coastal regions using convolutional neural network B. Yuan et al. 10.1016/j.apor.2024.104153
14. Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin X. Li et al. 10.1016/j.jhydrol.2023.130510
15. Future changes of drought characteristics in Coupled Model Intercomparison Project phase 6 Shared Socioeconomic Pathway scenarios over Central Asia H. Guo et al. 10.1002/joc.7450
16. Projections of indices of daily temperature and precipitation based on bias-adjusted CORDEX-Africa regional climate model simulations A. Dosio et al. 10.1007/s10584-022-03307-0
17. Quantifying the impact of climate change and extreme heat on rice in the United States S. Li et al. 10.1016/j.agrformet.2024.110145
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19. Assessing the performance of blue-green solutions through a fine-scale water balance model for an urban area X. Wu et al. 10.1016/j.scitotenv.2024.174750
20. Methods for assessing climate uncertainty in energy system models — A systematic literature review L. Plaga & V. Bertsch 10.1016/j.apenergy.2022.120384
21. Spatiotemporal analysis of transition probabilities of wet and dry days under SSPs scenarios in the semi-arid Susurluk Basin, Türkiye M. Şan et al. 10.1016/j.scitotenv.2023.168641
22. Hydrological responses projection to the potential impact of climate change under CMIP6 models scenarios in Omo River Basin, Ethiopia T. Feyissa et al. 10.1016/j.rineng.2024.102708
23. Climate change impacts on hydrometeorological and river hydrological extremes in Quito, Ecuador S. Núñez Mejía et al. 10.1016/j.ejrh.2023.101522
24. Statistical downscaling of climate variables for local forecasts and applications to improve climate change prediction in upper Blue Nile Basin A. Bulti & G. Yutura 10.1016/j.pce.2025.103867
25. Deep-learning-based sub-seasonal precipitation and streamflow ensemble forecasting over the source region of the Yangtze River N. Dong et al. 10.5194/hess-29-2023-2025
26. Downscaling algorithms for CMIP6 GCM daily rainfall over India R. Raj et al. 10.1007/s12040-024-02323-1
27. Total nitrogen and phosphorus loads in surface runoff from urban land use (city of Lublin) under climate change E. Szalińska et al. 10.1007/s11356-024-34365-9
28. Projections of precipitation change from CMIP6 based on a new downscaling method in the Poyang Lake basin, China N. Zhao et al. 10.1016/j.ejrh.2022.101138
29. Trend analysis of historical and future precipitation projections over a diverse topographic region of Khyber Pakhtunkhwa using SDSM G. Rahman et al. 10.2166/wcc.2022.160
30. Uncovering the strengths and weaknesses of an ensemble of quantile mapping methods for downscaling precipitation change in Southern Africa S. Mendoza Paz & P. Willems 10.1016/j.ejrh.2022.101104
31. Climate Change Effects on Rainfall Intensity–Duration–Frequency (IDF) Curves for the Lake Erie Coast Using Various Climate Models S. Mainali & S. Sharma 10.3390/w15234063
32. Resilient agriculture: water management for climate change adaptation in Lower Saxony R. Cotera et al. 10.2166/wcc.2024.455
33. Projected climatic drought events in drought-prone cities: Insights from high-resolution downscaled CMIP6 data X. Li et al. 10.1016/j.cliser.2024.100488
34. Projection of Extreme Temperature Events over the Mediterranean and Sahara Using Bias-Corrected CMIP6 Models H. Babaousmail et al. 10.3390/atmos13050741
35. 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. 10.3390/atmos14040708
36. The skill of statistical downscaling in future climate with high-resolution climate models as pseudo-reality S. Mendoza Paz & P. Willems 10.1016/j.ejrh.2023.101477
37. Dam System and Reservoir Operational Safety: A Meta-Research A. Badr et al. 10.3390/w15193427
38. Potential impact of precipitation temporal structure on meteorological drought and vegetation condition: A case study on Qinghai-Tibet Plateau H. Lu et al. 10.1016/j.ejrh.2024.102048
39. Evaluating changes in flood frequency due to climate change in the Western Cape, South Africa K. Pillay & M. Simatele 10.1007/s00477-024-02786-0
40. 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. 10.1016/j.energy.2024.132904
41. Regional impacts of solar radiation modification on surface temperature and precipitation in Mainland Southeast Asia and the adjacent oceans P. Narenpitak et al. 10.1038/s41598-024-73149-6
42. Downscaling precipitation and temperature in the Andes: applied methods and performance—a systematic review protocol S. Núñez Mejía et al. 10.1186/s13750-023-00323-0
43. 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. 10.1007/s11356-024-35013-y
44. Statistical downscaling of precipitation using inclusive multiple modelling (IMM) at two levels S. Sadeghfam et al. 10.2166/wcc.2021.106
45. Projected changes in meteorological drought over East Africa inferred from bias-adjusted CMIP6 models B. Ayugi et al. 10.1007/s11069-022-05341-8
46. Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting X. Meng et al. 10.1007/s10489-024-05504-z
47. A hybrid machine learning-based past performance and envelope approach for rainfall projection in Sarawak, Malaysia Z. Sa'adi et al. 10.1016/j.uclim.2025.102442
48. Comparison of precipitation projections of CMIP5 and CMIP6 global climate models over Yulin, China M. Shiru et al. 10.1007/s00704-021-03823-6
49. Wet-environment Evapotranspiration and Precipitation Standardized Index (WEPSI) for drought assessment and monitoring A. Khoshnazar et al. 10.2166/nh.2022.062
50. Multi-Model Ensemble Enhances the Spatiotemporal Comprehensive Performance of Regional Climate in China Y. Wang et al. 10.3390/rs17040582
51. Evaluation and prediction of future droughts with multi-model ensembling of four models under CMIP6 scenarios over Iraq Y. Abduljaleel et al. 10.1007/s00704-023-04595-x
52. 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. 10.1016/j.jhydrol.2022.128730
53. Catchment‐scale skill assessment of seasonal precipitation forecasts across South Korea Y. Lee et al. 10.1002/joc.8134
54. Understanding Future Climate in the Upper Awash Basin (UASB) with Selected Climate Model Outputs under CMIP6 Y. Balcha et al. 10.3390/cli10120185
55. Comparative analysis of bias correction methods for projecting extreme precipitation and temeprature indices in Pakistan Z. Ali et al. 10.1016/j.atmosres.2025.107957
56. Assessing downscaling techniques for frequency analysis, total precipitation and rainy day estimation in CMIP6 simulations over hydrological years D. Jimenez et al. 10.5194/hess-28-1981-2024
57. Projection of precipitation extremes in China's mainland based on the statistical downscaled data from 27 GCMs in CMIP6 L. Wang et al. 10.1016/j.atmosres.2022.106462
58. 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. 10.1002/joc.7707
59. Risk assessment of agricultural green water security in Northeast China under climate change J. Sun et al. 10.1007/s11430-023-1278-2
60. Ecophysiological Response of Vitis vinifera L. in an Urban Agrosystem: Preliminary Assessment of Genetic Variability E. Brunori et al. 10.3390/plants11223026
61. 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 10.1016/j.ejrh.2025.102386
62. 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. 10.1007/s00704-024-05187-z
63. Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al. 10.1016/j.envsoft.2022.105511
64. Moving statistic method (MSM) for quantification of changes in precipitation intensity and dry periods caused by climate change and demonstration on major U.S. cities B. Barkdoll 10.1007/s40899-023-00880-9
65. Impact of climate change on rainfall erosivity in the Amazon and Cerrado biomes under CMIP6 scenarios L. de Mendonça et al. 10.1007/s43217-025-00237-6
66. Climate Change and Florida Groundwater Management—Actionable Data and Adaptations R. Maliva 10.3390/w17111572
67. Improving Daily CMIP6 Precipitation in Southern Africa Through Bias Correction—Part 1: Spatiotemporal Characteristics A. Addisuu et al. 10.3390/cli13050095
68. Observed and Future Precipitation and Evapotranspiration in Water Management Zones of Uganda: CMIP6 Projections C. Onyutha et al. 10.3390/atmos12070887
69. The role of spatial scale in drought monitoring and early warning systems: a review J. Mardian 10.1139/er-2021-0102