Multiscale assessment of Indian monsoon rainfall using ICON and CMIP6 model simulations

Pokhrel, Samir; Utkarsh, Verma; Sahoo, Patita Kalyana; Pothapakula, Praveen K.; Sunkisala, Anusha; Gautam, Nishant; Pribin, Kolady P.; Yashas, Shivamurthy; Chaudhari, Hemantkumar S.; Rai, Archana; Rahaman, Hasibur; Prein, Andreas F.; Dipankar, Anurag; Saha, Subodh Kumar

doi:10.5194/wcd-7-1447-2026

Articles | Volume 7, issue 3

https://doi.org/10.5194/wcd-7-1447-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wcd-7-1447-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 3

Research article

|

19 Aug 2026

Research article |

| 19 Aug 2026

Multiscale assessment of Indian monsoon rainfall using ICON and CMIP6 model simulations

Samir Pokhrel, Verma Utkarsh, Patita Kalyana Sahoo, Praveen K. Pothapakula, Anusha Sunkisala, Nishant Gautam, Kolady P. Pribin, Shivamurthy Yashas, Hemantkumar S. Chaudhari, Archana Rai, Hasibur Rahaman, Andreas F. Prein, Anurag Dipankar, and Subodh Kumar Saha

Supplement

https://doi.org/10.5194/wcd-7-1447-2026-supplement

Data sets

GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 George J. Huffman et al. https://doi.org/10.5067/GPM/IMERG/3B-HH/07

Model code and software

EXCLAIM use cases Anurag Dipankar https://doi.org/10.5281/zenodo.17250248

Codes used in the preparation of the article "Multiscale assessment of Indian monsoon rainfall using ICON and CMIP6 model simulations" Verma Utkarsh https://doi.org/10.5281/zenodo.21877462

Short summary

We studied how well climate models simulate Indian monsoon rainfall at different time scales, from daily cycles to longer variations. We found that models may match seasonal averages but still fail to capture when and how rainfall occurs. These errors differ over land and ocean and affect overall monsoon patterns. Improving how models represent rainfall processes across scales is essential for better prediction.