EGU26-18964, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-18964
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Evaluating the Performance of Uni- and Multivariate Bias Correction Techniques: Challenges in Preserving Temporal and Dependence Structures
,,- Department of Hydrology, Indian Institute of Technology, Roorkee, 247667, India
How to cite: Sharma, S., Singh Raghuvanshi, A., and Agarwal, A.: Evaluating the Performance of Uni- and Multivariate Bias Correction Techniques: Challenges in Preserving Temporal and Dependence Structures, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18964, https://doi.org/10.5194/egusphere-egu26-18964, 2026.