Articles | Volume 18, issue 17
https://doi.org/10.5194/gmd-18-5527-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-5527-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
03 Sep 2025
Model description paper |
| 03 Sep 2025
| 03 Sep 2025
A flexible Regional Ocean Modeling System-based hybrid coupled model for El Niño–Southern Oscillation studies – model formulation and performance evaluation
Yang Yu
Woods Hole Oceanographic Institution, Woods Hole, MA, USA
Department of Land, Air and Water Resources, University of California-Davis, Davis, CA, USA
Yin-Nan Li
Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
State Key Laboratory of Climate System Prediction and Risk Management/School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China
Laoshan Laboratory, Qingdao, China
Shu-Hua Chen
Department of Land, Air and Water Resources, University of California-Davis, Davis, CA, USA
Yu-Heng Tseng
Institute of Oceanography, National Taiwan University, Taipei, Taiwan
Wenzhe Zhang
Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
Hongna Wang
Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
Laoshan Laboratory, Qingdao, China
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Yusuke Hiraga, Jacqueline Muthoni Mbugua, Shunji Kotsuki, Yoshiharu Suzuki, Shu-Hua Chen, Atsushi Hamada, Kazuaki Yasunaga, and Takuya Funatomi
EGUsphere, https://doi.org/10.5194/egusphere-2025-3524, https://doi.org/10.5194/egusphere-2025-3524, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
Short summary
Can cloud seeding be a strategy to mitigate localized heavy rainfall disasters? Our numerical experiments showed that injecting large amounts of ice nuclei into convective clouds inhibited the growth of individual ice crystals to sizes sufficient for rainfall, thereby reducing rainfall in the worst-hit area and shifting it downstream. This shows promise for using cloud seeding to lessen rain-related disasters, although further studies are needed to confirm its broader effectiveness.
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Short summary
In this paper, we develop a new flexible hybrid coupled model (HCM) by incorporating the Regional Ocean Modeling System (ROMS) into a statistical atmospheric model. The model performance is evaluated for its ability to simulate processes related to El Niño–Southern Oscillation (ENSO). The newly developed HCMROMS is expected to become an effective modeling tool for studying the multiscale and multisphere interactions associated with ENSO in the tropical Pacific.
In this paper, we develop a new flexible hybrid coupled model (HCM) by incorporating the...
