A hybrid coupled model for the tropical Pacific constructed by integrating ROMS with a statistical atmospheric model

Rong-Hua ZHANG; Wenzhe ZHANG; Yang YU; Yinnan LI; Feng TIAN; Chuan GAO; Hongna WANG

doi:10.1007/s00343-024-4194-6

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A hybrid coupled model for the tropical Pacific constructed by integrating ROMS with a statistical atmospheric model

Physics | Updated：2025-08-07

- A hybrid coupled model for the tropical Pacific constructed by integrating ROMS with a statistical atmospheric model
- Journal of Oceanology and Limnology Vol. 43, Issue 4, Pages: 1037-1055(2025)
- Affiliations：
  
  1.CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  2.School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
  3.Laoshan Laboratory, Qingdao 266237, China
  4.University of Chinese Academy of Sciences, Beijing 101408, China
- Author bio：
  
  rzhang@nuist.edu.cn
- Funds：
- DOI：10.1007/s00343-024-4194-6
  CLC：
- Received：18 July 2024，
  
  Published：01 July 2025
- Accepted：
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ZHANG Rong-Hua,ZHANG Wenzhe,YU Yang,et al.A hybrid coupled model for the tropical Pacific constructed by integrating ROMS with a statistical atmospheric model[J].Journal of Oceanology and Limnology,2025,43(04):1037-1055.
DOI：

ZHANG Rong-Hua,ZHANG Wenzhe,YU Yang,et al.A hybrid coupled model for the tropical Pacific constructed by integrating ROMS with a statistical atmospheric model[J].Journal of Oceanology and Limnology,2025,43(04):1037-1055. DOI： 10.1007/s00343-024-4194-6.

摘要

Abstract

Numerical models are crucial for quantifying the ocean-atmosphere interactions associated with the El Niño-Southern Oscillation (ENSO) phenomenon in the tropical Pacific. Current coupled models often exhibit significant biases and inter-model differences in simulating ENSO

underscoring the need for alternative modeling approaches. The Regional Ocean Modeling System (ROMS) is a sophisticated ocean model widely used for regional studies and has been coupled with various atmospheric models. However

its application in simulating ENSO processes on a basin scale in the tropical Pacific has not been explored. For the first time

this study presents the development of a basin-scale hybrid coupled model (HCM) for the tropical Pacific

integrating ROMS with a statistical atmospheric model that captures the interannual relationships between sea surface temperature (SST) and wind stress anomalies. The HCM is evaluated for its capability to simulate the annual mean

seasonal

and interannual variations of the oceanic state in the tropical Pacific. Results demonstrate that the model effectively reproduces the ENSO cycle

with a dominant oscillation period of approximately two years. The ROMS-based HCM developed here offers an efficient and robust tool for investigating climate variability in the tropical Pacific.

关键词

Keywords

references

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State Key Laboratory of Climate System Prediction and Risk Management/School of Marine Sciences, Nanjing University of Information Science and Technology

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International Research Center of Big Earth Data for Sustainable Development Goals

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