Phuong et al. (2026) Development of localized climate projections for Vietnam’s Mekong Delta using univariate and multivariate bias corrections of CMIP6 simulations

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Identification

• Journal: Climate Dynamics
• Year: 2026
• Date: 2026-08-18
• Authors: D. N. Dong Phuong, Y.O. Kim, Van Thinh Nguyen
• DOI: 10.1007/s00382-026-08347-1

Research Groups

• Department of Hydrology and Water Resources Engineering, Can Tho University
• Climate Change Research Institute, Vietnam Academy of Science and Technology

Short Summary

This study applied bias correction methods to raw climate model simulations to develop localized climate projections for Vietnam's Mekong Delta, providing valuable insights for climate-sensitive planning and decision-making.

Objective

• Investigate the effectiveness of univariate and multivariate bias correction methods in reducing model biases and reproducing multidimensional characteristics of climate variables in the Mekong Delta region.

Study Configuration

• Spatial Scale: Regional scale (Mekong Delta, Vietnam)
• Temporal Scale: Annual to decadal time scales

Methodology and Data

• Models used: Coupled Model Intercomparison Project Phase 6 (CMIP6) climate models
• Data sources: Raw climate model simulations under eight Shared Socioeconomic Pathways (SSP)

Main Results

• Bias-corrected fields exhibit substantial improvements in marginal distributions, even at high quantile values.
• Multivariate methods demonstrate superior performance in capturing multivariate characteristics compared to their univariate counterpart.
• Projections for the near to far future consistently indicate a warmer and wetter response relative to the baseline period across most SSP-based scenarios.

Contributions

• This study provides localized climate projections that can be used for climate-sensitive planning and decision-making in the Mekong Delta region.
• The findings highlight the importance of using multivariate bias correction methods to capture complex relationships between climate variables.

Funding

• This research was funded by the Vietnam National Foundation for Science and Technology Development (NAFOSTED) under project code NAFOSTED 103.02-2018.01.

Citation

@article{Phuong2026Development,
  author = {Phuong, D. N. Dong and Kim, Y.O. and Nguyen, Van Thinh},
  title = {Development of localized climate projections for Vietnam’s Mekong Delta using univariate and multivariate bias corrections of CMIP6 simulations},
  journal = {Climate Dynamics},
  year = {2026},
  doi = {10.1007/s00382-026-08347-1},
  url = {https://doi.org/10.1007/s00382-026-08347-1}
}