cSINGV v1.0: development and evaluation of a 1.5&thinsp;km  coupled atmosphere–ocean–wave modelling  system for the Western Maritime Continent

Kumar, Rajesh; Sanchez, Claudio; Castillo, Juan Manuel; Li, Jian-Guo; Thompson, Bijoy; Patel, Pratiman; Ng, Alvin; Sasmal, Kaushik; Furtado, Kalli; Yan, Hailin; Jianyu, Liu; Zhang, Hugh

doi:10.5194/gmd-19-10479-2026

Articles | Volume 19, issue 21

https://doi.org/10.5194/gmd-19-10479-2026

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

https://doi.org/10.5194/gmd-19-10479-2026

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

Articles | Volume 19, issue 21

Development and technical paper

|

05 Nov 2026

Development and technical paper |

| 05 Nov 2026

cSINGV v1.0: development and evaluation of a 1.5 km coupled atmosphere–ocean–wave modelling system for the Western Maritime Continent

Rajesh Kumar, Claudio Sanchez, Juan Manuel Castillo, Jian-Guo Li, Bijoy Thompson, Pratiman Patel, Alvin Ng, Kaushik Sasmal, Kalli Furtado, Hailin Yan, Liu Jianyu, and Hugh Zhang

Supplement

https://doi.org/10.5194/gmd-19-10479-2026-supplement

Data sets

Supporting data: Evaluation of the cSINGV v1.0 coupled atmosphere-ocean-wave modelling system for the Western Maritime Continent Rajesh Kumar and Ng Zhi Hao Alvin https://doi.org/10.5281/zenodo.18797904

Model code and software

Model Configuration, Namelists, and Forcing Data for the cSINGV Coupled Regional Modelling System [Dataset] Rajesh Kumar https://doi.org/10.5281/zenodo.21449437

Short summary

Weather over Southeast Asia is shaped by complex interactions between the air, ocean, and waves. We developed a high-resolution model that links these processes to better understand and predict rainfall patterns in the region. The results show that ocean–atmosphere interactions improve the representation and prediction of squall events that affect daily life in Singapore and surrounding regions. This work supports more accurate weather forecasting in the region.