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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Cited articles

Addor, N., Rohrer, M., Furrer, R., and Seibert, J.: Propagation of biases in climate models from the synoptic to the regional scale: Implications for bias adjustment, J. Geophys. Res.-Atmos., 121, 2075–2089, 2016. 
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, FAO, Rome, 300, D05109, https://www.fao.org/3/x0490e/x0490e00.htm (last access: August 2022​​​​​​​), ISBN 92-5-104219-5, 1998. 
Ansari, R. and Grossi, G.: Spatio-temporal evolution of wet–dry event features and their transition across the Upper Jhelum Basin (UJB) in South Asia, Nat. Hazards Earth Syst. Sci., 22, 287–302, https://doi.org/10.5194/nhess-22-287-2022, 2022. 
Ansari, R., Casanueva, A., Liaqat, M. U., and Grossi, G.: Climate change projections of wet and dry extreme events in the Upper Jhelum Basin using a multivariate drought index: Evaluation of bias correction, Zenodo [code], https://doi.org/10.5281/zenodo.7296744, 2022a. 
Ansari, R., Liaqat, M. U., and Grossi, G.: Evaluation of gridded datasets for terrestrial water budget assessment in the Upper Jhelum River Basin-South Asia, J. Hydrol., 613, 128294, https://doi.org/10.1016/j.jhydrol.2022.128294, 2022b. 
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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).