80 citations as recorded by crossref.

1. Is time a variable like the others in multivariate statistical downscaling and bias correction? Y. Robin & M. Vrac 10.5194/esd-12-1253-2021
2. Seasonal Bias Correction of Daily Precipitation over France Using a Stitch Model Designed for Robust Representation of Extremes P. Ear et al. 10.3390/atmos16040480
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8. Hydrological Modelling and Climate Adaptation under Changing Climate: A Review with a Focus in Sub-Saharan Africa V. Banda et al. 10.3390/w14244031
9. 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
10. Correcting biases in tropical cyclone intensities in low-resolution datasets using dynamical systems metrics D. Faranda et al. 10.1007/s00382-023-06794-8
11. Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments J. Meyer et al. 10.5194/hess-23-1339-2019
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15. Hunter-gatherer impact on European interglacial vegetation: A modelling approach A. Nikulina et al. 10.1016/j.quascirev.2023.108439
16. 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
17. Review of bias correction methods for climate model outputs in hydrology A. Menapace et al. 10.1016/j.jhydrol.2025.133213
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20. New Approach for Bias Correction and Stochastic Downscaling of Future Projections for Daily Mean Temperatures to a High-Resolution Grid Q. Yuan et al. 10.1175/JAMC-D-19-0086.1
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22. Projections of Future Climate Change in Singapore Based on a Multi-Site Multivariate Downscaling Approach X. Li et al. 10.3390/w11112300
23. Historical trends and future projections of annual rainfall from CMIP6 models in Ho Chi Minh City, Vietnam D. Phuong et al. 10.3354/cr01736
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25. Application of a bivariate bias-correction approach to yield long-term attributes of Indian precipitation and temperature C. Gupta & R. Bhowmik 10.3389/fclim.2023.1067960
26. Multivariate bias corrections of climate simulations: which benefits for which losses? B. François et al. 10.5194/esd-11-537-2020
27. Towards more realistic climate model outputs: a multivariate bias correction based on zero-inflated vine copulas H. Funk et al. 10.1093/jrsssc/qlaf044
28. Climate change impacts on regional fire weather in heterogeneous landscapes of central Europe J. Miller et al. 10.5194/nhess-24-411-2024
29. Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. 10.2166/wcc.2023.230
30. Evaluating regional climate model simulations at Wadi El Abid catchment (northeastern Tunisia) using HBV rainfall-runoff model K. Djebbi & H. Dakhlaoui 10.1007/s12517-022-11160-9
31. Seasonal forecasts of the Saharan heat low characteristics: a multi-model assessment C. Ngoungue Langue et al. 10.5194/wcd-2-893-2021
32. Time of emergence of compound events: contribution of univariate and dependence properties B. François & M. Vrac 10.5194/nhess-23-21-2023
33. ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1) F. Spuler et al. 10.5194/gmd-17-1249-2024
34. Combining global climate models using graph cuts S. Thao et al. 10.1007/s00382-022-06213-4
35. A spatially adaptive multi-resolution generative algorithm: Application to simulating flood wave propagation J. Carreau & P. Naveau 10.1016/j.wace.2023.100580
36. Differentiated regional impacts of future meteorological changes and anthropogenic emission control on PM2.5 concentrations in China Y. Jiang et al. 10.1016/j.horiz.2025.100151
37. Comparison of bias correction methods in the arid region of Pakistan Z. Ali et al. 10.1088/1755-1315/1467/1/012026
38. Evolution of Mediterranean extreme dry spells during the wet season under climate change F. Raymond et al. 10.1007/s10113-019-01526-3
39. Observation-Based Simulations of Humidity and Temperature Using Quantile Regression A. Poppick & K. McKinnon 10.1175/JCLI-D-20-0403.1
40. Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment M. Widmann et al. 10.1002/joc.6024
41. Downscaling CORDEX Through Deep Learning to Daily 1 km Multivariate Ensemble in Complex Terrain D. Quesada‐Chacón et al. 10.1029/2023EF003531
42. Lake Malawi’s threshold behaviour: A stakeholder-informed model to simulate sensitivity to climate change A. Bhave et al. 10.1016/j.jhydrol.2020.124671
43. Assessing the impact on crop modelling of multi- and uni-variate climate model bias adjustments S. Galmarini et al. 10.1016/j.agsy.2023.103846
44. Distribution-based pooling for combination and multi-model bias correction of climate simulations M. Vrac et al. 10.5194/esd-15-735-2024
45. More than agriculture: Analysing time-cumulative human impact on European land-cover of second half of the Holocene A. Zapolska et al. 10.1016/j.quascirev.2023.108227
46. Contrasting changes in hydrological processes of the Volta River basin under global warming M. Dembélé et al. 10.5194/hess-26-1481-2022
47. Research progresses and prospects of multi-sphere compound extremes from the Earth System perspective Z. Hao & Y. Chen 10.1007/s11430-023-1201-y
48. Novel multivariate quantile mapping methods for ensemble post-processing of medium-range forecasts K. Whan et al. 10.1016/j.wace.2021.100310
49. Towards a compound-event-oriented climate model evaluation: a decomposition of the underlying biases in multivariate fire and heat stress hazards R. Villalobos-Herrera et al. 10.5194/nhess-21-1867-2021
50. Bias correction of daily precipitation for ungauged locations using geostatistical approaches: A case study for the CORDEX‐Africa ensemble M. Lorenz et al. 10.1002/joc.7649
51. Elevation dependency of snowfall changes under climate change over the Tibetan Plateau: Evidence from CMIP6 GCMs Y. Gao et al. 10.1016/j.atmosres.2024.107832
52. Bias Correction for Climate Model Output (1) Method Characteristics and Classification S. WATANABE 10.3178/jjshwr.33.243
53. Advancing research on compound weather and climate events via large ensemble model simulations E. Bevacqua et al. 10.1038/s41467-023-37847-5
54. 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
55. Making the Output of Seasonal Climate Models More Palatable to Agriculture: A Copula-Based Postprocessing Method M. Li et al. 10.1175/JAMC-D-19-0093.1
56. The distinct problems of physical inconsistency and of multivariate bias involved in the statistical adjustment of climate simulations M. Alavoine & P. Grenier 10.1002/joc.7878
57. Multivariate bias corrections of CMIP6 model simulations of compound dry and hot events across China Y. Meng et al. 10.1088/1748-9326/ac8e86
58. A new multi-site multi-variable stochastic model with inter-site and inter-variable correlations, low frequency attributes and stochasticity: A case study in the lower Yellow River basin Y. Wang et al. 10.1016/j.jhydrol.2021.126365
59. R2D2 v2.0: accounting for temporal dependences in multivariate bias correction via analogue rank resampling M. Vrac & S. Thao 10.5194/gmd-13-5367-2020
60. Changes in temperature–precipitation correlations over Europe: are climate models reliable? M. Vrac et al. 10.1007/s00382-022-06436-5
61. Characteristics of the snow depth in 2020 and estimation of future changes based on the relationship between temperature and precipitation. S. SAITO et al. 10.2208/jscejer.76.5_I_261
62. Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle L. Teckentrup et al. 10.5194/esd-14-549-2023
63. Characterizing and avoiding physical inconsistency generated by the application of univariate quantile mapping on daily minimum and maximum temperatures over Hudson Bay M. Agbazo & P. Grenier 10.1002/joc.6432
64. Impacts of land use land cover change and climate change on river hydro-morphology- a review of research studies in tropical regions N. Kayitesi et al. 10.1016/j.jhydrol.2022.128702
65. 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
66. Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. 10.3390/w13111573
67. Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods W. Zhang et al. 10.3389/feart.2021.673495
68. 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
69. Improving biome and climate modelling for a set of past climate conditions: evaluating bias correction using the CDF-t approach A. Zapolska et al. 10.1088/2752-5295/accbe2
70. Deep Learning for Bias‐Correcting CMIP6‐Class Earth System Models P. Hess et al. 10.1029/2023EF004002
71. Should We Use Quantile-Mapping-Based Methods in a Climate Change Context? A “Perfect Model” Experiment M. Vrac et al. 10.3390/cli13070137
72. Identifying major phases in the use of land, energy and changing landscapes by agrarian societies (7,000 cal BP-Present) in Cantabrian Spain, based on cultural changes and anthropogenic signals A. Martinez et al. 10.3389/fearc.2024.1339172
73. DASH: a MATLAB toolbox for paleoclimate data assimilation J. King et al. 10.5194/gmd-16-5653-2023
74. Multi-site multivariate downscaling of global climate model outputs: an integrated framework combining quantile mapping, stochastic weather generator and Empirical Copula approaches X. Li & V. Babovic 10.1007/s00382-018-4480-0
75. Evaluating the impact of rainfall–runoff model structural uncertainty on the hydrological rating of regional climate model simulations H. Dakhlaoui & K. Djebbi 10.2166/wcc.2021.004
76. To bias correct or not to bias correct? An agricultural impact modelers’ perspective on regional climate model data P. Laux et al. 10.1016/j.agrformet.2021.108406
77. Next-Generation Drought Intensity–Duration–Frequency Curves for Early Warning Systems in Ethiopia’s Pastoral Region G. Tegegne et al. 10.3390/cli13020031
78. 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
79. Adjusting climate model bias for agricultural impact assessment: How to cut the mustard S. Galmarini et al. 10.1016/j.cliser.2019.01.004
80. Projections of fire danger under climate change over France: where do the greatest uncertainties lie? H. Fargeon et al. 10.1007/s10584-019-02629-w