53 citations as recorded by crossref.

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2. Adjusting spatial dependence of climate model outputs with cycle-consistent adversarial networks B. François et al. 10.1007/s00382-021-05869-8
3. Compound Events under Global Warming: A Dependence Perspective Z. Hao & V. Singh 10.1061/(ASCE)HE.1943-5584.0001991
4. Growing Threats From Unprecedented Sequential Flood‐Hot Extremes Across China Z. Liao et al. 10.1029/2021GL094505
5. 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
6. Climate change effects on hydrometeorological compound events over southern Norway B. Poschlod et al. 10.1016/j.wace.2020.100253
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8. Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? T. Kelder et al. 10.1088/1748-9326/ac5cf4
9. Heat Waves: Physical Understanding and Scientific Challenges D. Barriopedro et al. 10.1029/2022RG000780
10. Compound events of wet and dry extremes: Identification, variations, and risky patterns H. Chen et al. 10.1016/j.scitotenv.2023.167088
11. Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods W. Zhang et al. 10.3389/feart.2021.673495
12. Time of emergence of compound events: contribution of univariate and dependence properties B. François & M. Vrac 10.5194/nhess-23-21-2023
13. Ensemble climate-impact modelling: extreme impacts from moderate meteorological conditions K. van der Wiel et al. 10.1088/1748-9326/ab7668
14. Winter hydrometeorological extreme events modulated by large-scale atmospheric circulation in southern Ontario O. Champagne et al. 10.5194/esd-11-301-2020
15. Impact Analysis of Univariate and Multivariate Bias Correction on Rice Irrigation Water Needs in Jiangxi Province, China W. Hanggoro et al. 10.3390/w12020381
16. Downscaling CORDEX Through Deep Learning to Daily 1 km Multivariate Ensemble in Complex Terrain D. Quesada‐Chacón et al. 10.1029/2023EF003531
17. Multimodel Errors and Emergence Times in Climate Attribution Studies P. Naveau & S. Thao 10.1175/JCLI-D-21-0332.1
18. Projected mean and extreme precipitation based on bias-corrected simulation outputs of CORDEX Southeast Asia S. Ngai et al. 10.1016/j.wace.2022.100484
19. Future climate risk to UK agriculture from compound events F. Garry et al. 10.1016/j.crm.2021.100282
20. Climatic Controls on Future Hydrologic Changes in a Subarctic River Basin in Canada R. Shrestha et al. 10.1175/JHM-D-18-0262.1
21. Adaptation des territoires de côtes basses au risque grandissant d'inondation : enquête de perception du risque dans la communauté urbaine de Dunkerque N. Verlynde 10.1051/lhb/2020025
22. High-resolution projections of outdoor thermal stress in the twenty-first century: a Tasmanian case study B. Weeding et al. 10.1007/s00484-024-02622-8
23. Amplified potential for vegetation stress under climate-change-induced intensifying compound extreme events in the Greater Mediterranean Region P. Olschewski et al. 10.5194/nhess-24-1099-2024
24. Global Increases in Compound Flood‐Hot Extreme Hazards Under Climate Warming L. Gu et al. 10.1029/2022GL097726
25. Novel multivariate quantile mapping methods for ensemble post-processing of medium-range forecasts K. Whan et al. 10.1016/j.wace.2021.100310
26. 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
27. The record-breaking compound hot and dry 2018 growing season in Germany J. Zscheischler & E. Fischer 10.1016/j.wace.2020.100270
28. Bias correction of WRF output for operational avalanche forecasting in the Indian Himalayan region N. Samal & S. Jha 10.1007/s12040-022-01899-w
29. Observation-Based Simulations of Humidity and Temperature Using Quantile Regression A. Poppick & K. McKinnon 10.1175/JCLI-D-20-0403.1
30. Multivariate bias corrections of CMIP6 model simulations of compound dry and hot events across China Y. Meng et al. 10.1088/1748-9326/ac8e86
31. Measuring compound flood potential from river discharge and storm surge extremes at the global scale A. Couasnon et al. 10.5194/nhess-20-489-2020
32. Large spread in the representation of compound long-duration dry and hot spells over Europe in CMIP5 C. Manning et al. 10.5194/wcd-4-309-2023
33. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
34. Multivariate bias corrections of climate simulations: which benefits for which losses? B. François et al. 10.5194/esd-11-537-2020
35. 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
36. 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
37. Advancing research on compound weather and climate events via large ensemble model simulations E. Bevacqua et al. 10.1038/s41467-023-37847-5
38. 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
39. Evaluating the dependence structure of compound precipitation and wind speed extremes J. Zscheischler et al. 10.5194/esd-12-1-2021
40. CHELSA-W5E5: daily 1 km meteorological forcing data for climate impact studies D. Karger et al. 10.5194/essd-15-2445-2023
41. 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
42. Climate change impacts on regional fire weather in heterogeneous landscapes of central Europe J. Miller et al. 10.5194/nhess-24-411-2024
43. Spatio-temporal assessment of frost risks during the flowering of pear trees in Belgium for 1971–2068 B. Drepper et al. 10.1016/j.agrformet.2022.108822
44. Changes in temperature–precipitation correlations over Europe: are climate models reliable? M. Vrac et al. 10.1007/s00382-022-06436-5
45. 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
46. 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
47. Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems V. Srikrishnan et al. 10.1029/2021EF002644
48. 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
49. WFDE5: bias-adjusted ERA5 reanalysis data for impact studies M. Cucchi et al. 10.5194/essd-12-2097-2020
50. 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
51. 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
52. Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. 10.3390/w13111573
53. Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments J. Meyer et al. 10.5194/hess-23-1339-2019