Articles | Volume 16, issue 7
https://doi.org/10.5194/gmd-16-2055-2023
https://doi.org/10.5194/gmd-16-2055-2023
Methods for assessment of models
 | 
17 Apr 2023
Methods for assessment of models |  | 17 Apr 2023

Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin

Rubina Ansari, Ana Casanueva, Muhammad Usman Liaqat, and Giovanna Grossi

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Latest update: 28 Feb 2024
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Short summary
Bias correction (BC) has become indispensable to climate model output as a post-processing step to render output more useful for impact assessment studies. The current work presents a comparison of different state-of-the-art BC methods (univariate and multivariate) and BC approaches (direct and component-wise) for climate model simulations from three initiatives (CMIP6, CORDEX, and CORDEX-CORE) for a multivariate drought index (i.e., standardized precipitation evapotranspiration index).