50 citations as recorded by crossref.

1. Bias Correction for Climate Model Output (1) Method Characteristics and Classification S. WATANABE 10.3178/jjshwr.33.243
2. 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
3. Regression-based distribution mapping for bias correction of climate model outputs using linear quantile regression C. Passow & R. Donner 10.1007/s00477-019-01750-7
4. Can We Constrain Uncertainty in Hydrologic Cycle Projections? A. Prein & A. Pendergrass 10.1029/2018GL081529
5. Two Types of Physical Inconsistency to Avoid with Univariate Quantile Mapping: A Case Study over North America Concerning Relative Humidity and Its Parent Variables P. Grenier 10.1175/JAMC-D-17-0177.1
6. On the dependency of GCM-based regional surface climate change projections on model biases, resolution and climate sensitivity F. Giorgi & F. Raffaele 10.1007/s00382-021-06037-8
7. Future projections of wind and solar energy resources over China from regional climate models based on bias correction T. Li et al. 10.1088/2515-7620/acddbb
8. 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
9. Estimating daily meteorological data and downscaling climate models over landscapes M. De Cáceres et al. 10.1016/j.envsoft.2018.08.003
10. Simulation of flood hazard and risk in the Danube basin with the Future Danube Model F. Hattermann et al. 10.1016/j.cliser.2018.07.001
11. Assessing distribution‐based climate model bias correction methods over an alpine domain: added value and limitations M. Ivanov & S. Kotlarski 10.1002/joc.4870
12. Relative performance of empirical and physical models in assessing the seasonal and annual glacier surface mass balance of Saint-Sorlin Glacier (French Alps) M. Réveillet et al. 10.5194/tc-12-1367-2018
13. Towards process-informed bias correction of climate change simulations D. Maraun et al. 10.1038/nclimate3418
14. Evaluating skills and issues of quantile-based bias adjustment for climate change scenarios F. Lehner et al. 10.5194/ascmo-9-29-2023
15. The Taiwan Climate Change Projection Information and Adaptation Knowledge Platform: A Decade of Climate Research L. Lin et al. 10.3390/w14030358
16. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk 10.1038/s41612-023-00496-y
17. Bias adjustment for threshold-based climate indicators P. Hoffmann et al. 10.5194/asr-15-107-2018
18. 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
19. Climate Model Biases and Modification of the Climate Change Signal by Intensity-Dependent Bias Correction M. Ivanov et al. 10.1175/JCLI-D-17-0765.1
20. Multi-component ensembles of future meteorological and natural snow conditions for 1500 m altitude in the Chartreuse mountain range, Northern French Alps D. Verfaillie et al. 10.5194/tc-12-1249-2018
21. Future surface temperature changes for the Iberian Peninsula according to EURO-CORDEX climate projections D. Carvalho et al. 10.1007/s00382-020-05472-3
22. Climate Change Impacts on the Upper Indus Hydrology: Sources, Shifts and Extremes A. Lutz et al. 10.1371/journal.pone.0165630
23. 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
24. 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
25. Robust bias-correction of precipitation extremes using a novel hybrid empirical quantile-mapping method M. Holthuijzen et al. 10.1007/s00704-022-04035-2
26. The issue of properly ordering climate indices calculation and bias correction before identifying spatial analogs for agricultural applications P. Grenier et al. 10.1016/j.cliser.2019.100122
27. Urban multi-model climate projections of intense heat in Switzerland A. Burgstall et al. 10.1016/j.cliser.2021.100228
28. Extreme precipitation events under climate change in the Iberian Peninsula S. Cardoso Pereira et al. 10.1002/joc.6269
29. Consistency of climate change projections from multiple global and regional model intercomparison projects J. Fernández et al. 10.1007/s00382-018-4181-8
30. Direct and component-wise bias correction of multi-variate climate indices: the percentile adjustment function diagnostic tool A. Casanueva et al. 10.1007/s10584-018-2167-5
31. Evaluation of some distributional downscaling methods as applied to daily maximum temperature with emphasis on extremes J. Lanzante et al. 10.1002/joc.6288
32. Time Scale Decomposition of Climate and Correction of Variability Using Synthetic Samples of Stable Distributions M. Gomez‐Garcia et al. 10.1029/2018WR023053
33. Regional modeling of surface mass balance on the Cook Ice Cap, Kerguelen Islands ($$49^{\circ }\mathrm{S}$$, $$69^{\circ }\mathrm{E}$$) D. Verfaillie et al. 10.1007/s00382-019-04904-z
34. Historical Evaluation and Future Projections of 100‐m Wind Energy Potentials Over CORDEX‐East Asia D. Li et al. 10.1029/2020JD032874
35. The IMPACT2C web-atlas – Conception, organization and aim of a web-based climate service product S. Preuschmann et al. 10.1016/j.cliser.2017.03.005
36. The method ADAMONT v1.0 for statistical adjustment of climate projections applicable to energy balance land surface models D. Verfaillie et al. 10.5194/gmd-10-4257-2017
37. TopoCLIM: rapid topography-based downscaling of regional climate model output in complex terrain v1.1 J. Fiddes et al. 10.5194/gmd-15-1753-2022
38. 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
39. Bias adjustment to preserve changes in variability: the unbiased mapping of GCM changes C. Chadwick et al. 10.1080/02626667.2023.2201450
40. Climate projections of a multivariate heat stress index: the role of downscaling and bias correction A. Casanueva et al. 10.5194/gmd-12-3419-2019
41. Brief Communication: An update of the article "Modelling flood damages under climate change conditions – a case study for Germany" F. Hattermann et al. 10.5194/nhess-16-1617-2016
42. Modelling blue and green water availability under climate change in the Beninese Basin of the Niger River Basin, West Africa D. Badou et al. 10.1002/hyp.13153
43. Assessing the sensitivity of hydro-climatological change detection methods to model uncertainty and bias Z. Jiang et al. 10.1016/j.advwatres.2019.103430
44. Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch A. Casanueva et al. 10.1002/asl.978
45. Assessing the extent of non-stationary biases in GCMs J. Nahar et al. 10.1016/j.jhydrol.2017.03.045
46. Bias in dynamically downscaled rainfall characteristics for hydroclimatic projections N. Potter et al. 10.5194/hess-24-2963-2020
47. Impact of bias correction and downscaling through quantile mapping on simulated climate change signal: a case study over Central Italy L. Sangelantoni et al. 10.1007/s00704-018-2406-8
48. Projections of climate change indices of temperature and precipitation from an ensemble of bias‐adjusted high‐resolution EURO‐CORDEX regional climate models A. Dosio 10.1002/2015JD024411
49. Application of the Bias Correction and Spatial Downscaling Algorithm on the Temperature Extremes From CMIP5 Multimodel Ensembles in China L. Xu & A. Wang 10.1029/2019EA000995
50. 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