56 citations as recorded by crossref.

1. High-resolution climate datasets in hydrological impact studies: Assessing their value in alpine and pre-alpine catchments in southeastern Austria S. Peßenteiner et al. 10.1016/j.ejrh.2021.100962
2. Impacts of Using State‐of‐the‐Art Multivariate Bias Correction Methods on Hydrological Modeling Over North America Q. Guo et al. 10.1029/2019WR026659
3. Selection of representative near-future climate simulations by minimizing bias in average monthly temperature and precipitation V. Khokhlov et al. 10.1007/s00704-023-04792-8
4. Glacio‐hydrological model calibration and evaluation M. van Tiel et al. 10.1002/wat2.1483
5. WITHDRAWN: Intercomparison of joint bias correction methods for precipitation and flow from a hydrological perspective K. Kim et al. 10.1016/j.hydroa.2021.100109
6. Integrating stakeholders' inputs to co-design climate resilience adaptation measures in Mediterranean areas with conflicts between wetland conservation and intensive agriculture D. Pulido-Velazquez et al. 10.1016/j.scitotenv.2023.161905
7. A framework to assess future water-resource under climate change in northern Morocco using hydro-climatic modelling and water-withdrawal scenarios Y. Hrour et al. 10.1016/j.ejrh.2023.101465
8. New high-resolution gridded dataset of daily mean, minimum, and maximum temperature and relative humidity for Central Europe (HYRAS) C. Razafimaharo et al. 10.1007/s00704-020-03388-w
9. Future changes in snowpack will impact seasonal runoff and low flows in Czechia M. Jenicek et al. 10.1016/j.ejrh.2021.100899
10. Statistical reconstruction of European winter snowfall in reanalysis and climate models based on air temperature and total precipitation F. Pons & D. Faranda 10.5194/ascmo-8-155-2022
11. Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin R. Ansari et al. 10.5194/gmd-16-2055-2023
12. On deep learning-based bias correction and downscaling of multiple climate models simulations F. Wang & D. Tian 10.1007/s00382-022-06277-2
13. Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J. Van de Velde et al. 10.5194/hess-26-2319-2022
14. Bivariate bias correction of the regional climate model ensemble over the Adriatic region R. Sokol Jurković et al. 10.1002/joc.7564
15. Evaluating the Applicability of a Quantile–Quantile Adjustment Approach for Downscaling Monthly GCM Projections to Site Scale over the Qinghai-Tibet Plateau Z. Yin et al. 10.3390/atmos12091170
16. Melting Alpine Water Towers Aggravate Downstream Low Flows: A Stress‐Test Storyline Approach M. van Tiel et al. 10.1029/2022EF003408
17. Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate F. Tootoonchi et al. 10.1016/j.jhydrol.2023.129807
18. Warmer and wetter: Outlining climate services for snow-dependent tourism in Norway – The case of Lofoten S. Mayer et al. 10.1016/j.cliser.2023.100405
19. Error propagation of climate model rainfall to streamflow simulation in the Gidabo sub-basin, Ethiopian Rift Valley Lakes Basin A. Worako et al. 10.1080/02626667.2022.2072220
20. Future shifts in extreme flow regimes in Alpine regions M. Brunner et al. 10.5194/hess-23-4471-2019
21. An Integrated Modeling Framework in Projections of Hydrological Extremes H. Meresa et al. 10.1007/s10712-022-09737-w
22. Impact Analysis of Univariate and Multivariate Bias Correction on Rice Irrigation Water Needs in Jiangxi Province, China W. Hanggoro et al. 10.3390/w12020381
23. The impact of using different probability representations in application of equidistant quantile matching for bias adjustment of daily precipitation over the Daqing River Basin, North China M. Lv et al. 10.1002/joc.7272
24. A Holistic Modelling Approach for the Estimation of Return Levels of Peak Flows in Bavaria F. Willkofer et al. 10.3390/w12092349
25. Evaluation and joint projection of temperature and precipitation extremes across Canada based on hierarchical Bayesian modelling and large ensembles of regional climate simulations H. Singh et al. 10.1016/j.wace.2022.100443
26. Intercomparison of joint bias correction methods for precipitation and flow from a hydrological perspective K. Kim et al. 10.1016/j.jhydrol.2021.127261
27. Bias correction of climate model outputs influences watershed model nutrient load predictions L. Miralha et al. 10.1016/j.scitotenv.2020.143039
28. A streamflow-oriented ranking-based methodological framework to combine multiple precipitation datasets across large river basins J. Wong et al. 10.1016/j.jhydrol.2021.127174
29. Climate Change Impact Studies: Should We Bias Correct Climate Model Outputs or Post‐Process Impact Model Outputs? J. Chen et al. 10.1029/2020WR028638
30. An approach to identify the best climate models for the assessment of climate change impacts on meteorological and hydrological droughts A. Collados-Lara et al. 10.5194/nhess-22-599-2022
31. Effects of univariate and multivariate statistical downscaling methods on climatic and hydrologic indicators for Alberta, Canada H. Eum et al. 10.1016/j.jhydrol.2020.125065
32. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
33. On the Use of Original and Bias-Corrected Climate Simulations in Regional-Scale Hydrological Scenarios in the Mediterranean Basin L. Sangelantoni et al. 10.3390/atmos10120799
34. Multivariate bias corrections of CMIP6 model simulations of compound dry and hot events across China Y. Meng et al. 10.1088/1748-9326/ac8e86
35. Impact of Climate Change on the Hydrological Regimes in Bavaria B. Poschlod et al. 10.3390/w12061599
36. Impact of correcting sub-daily climate model biases for hydrological studies M. Faghih et al. 10.5194/hess-26-1545-2022
37. Potential changes in climate indices in Alberta under projected global warming of 1.5–5 °C H. Eum et al. 10.1016/j.ejrh.2023.101390
38. Predicting Hydrological Change in an Alpine Glacierized Basin and Its Sensitivity to Landscape Evolution and Meteorological Forcings C. Aubry‐Wake & J. Pomeroy 10.1029/2022WR033363
39. Comparison of Bias Correction Methods for Summertime Daily Rainfall in South Korea Using Quantile Mapping and Machine Learning Model G. Seo & J. Ahn 10.3390/atmos14071057
40. Impact of Climate Change on the Hydrological Regime of the Yarkant River Basin, China: An Assessment Using Three SSP Scenarios of CMIP6 GCMs Y. Xiang et al. 10.3390/rs14010115
41. Direct and indirect application of univariate and multivariate bias corrections on heat-stress indices based on multiple regional-climate-model simulations L. Qiu et al. 10.5194/esd-14-507-2023
42. Impact of climate change on climate extreme indices in Kaduna River basin, Nigeria Z. Isa et al. 10.1007/s11356-023-27821-5
43. Climatic Controls on Future Hydrologic Changes in a Subarctic River Basin in Canada R. Shrestha et al. 10.1175/JHM-D-18-0262.1
44. Multivariate bias corrections of climate simulations: which benefits for which losses? B. François et al. 10.5194/esd-11-537-2020
45. Assessing the influence of calibration methodology and model structure on glacio-hydrological simulations in the Cheakamus River Basin, British Columbia, Canada K. Tsuruta & M. Schnorbus 10.1016/j.hydroa.2022.100144
46. Identifying major climate extreme indices driver of stream flow discharge variability using machine learning and SHaply Additive Explanation Z. Isa et al. 10.1007/s40899-023-00897-0
47. Multi-site bias correction of climate model outputs for hydro-meteorological impact studies: An application over a watershed in China T. Su et al. 10.1002/hyp.13750
48. Overheating Risks and Adaptation Strategies of Energy Retrofitted Historic Buildings under the Impact of Climate Change: Case Studies in Alpine Region L. Hao et al. 10.3390/app12147162
49. High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin Z. Asong et al. 10.5194/essd-12-629-2020
50. Multi-decadal monsoon characteristics and glacier response in High Mountain Asia T. Shaw et al. 10.1088/1748-9326/ac9008
51. Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate F. Tootoonchi et al. 10.1016/j.scitotenv.2022.158615
52. Bias Correction for Climate Model Output (1) Method Characteristics and Classification S. WATANABE 10.3178/jjshwr.33.243
53. Seamlessly combined historical and projected daily meteorological datasets for impact studies in Central Europe: The FORESEE v4.0 and the FORESEE-HUN v1.0 A. Kern et al. 10.1016/j.cliser.2023.100443
54. The compensating effect of glaciers: Characterizing the relation between interannual streamflow variability and glacier cover M. van Tiel et al. 10.1002/hyp.13603
55. Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies M. Tarek et al. 10.5194/hess-25-3331-2021
56. Multivariate Bias‐Correction of High‐Resolution Regional Climate Change Simulations for West Africa: Performance and Climate Change Implications D. Dieng et al. 10.1029/2021JD034836