中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A flexible Regional Ocean Modeling System-based hybrid coupled model for El Ni?o-Southern Oscillation studies - model formulation and performance evaluation

文献类型:期刊论文

作者Yu, Yang3,4; Li, Yin-Nan2; Zhang, Rong-Hua1,6; Chen, Shu-Hua3; Tseng, Yu-Heng5; Zhang, Wenzhe2; Wang, Hongna2
刊名GEOSCIENTIFIC MODEL DEVELOPMENT
出版日期2025-09-03
卷号18期号:17页码:5527-5547
ISSN号1991-959X
DOI10.5194/gmd-18-5527-2025
通讯作者Zhang, Rong-Hua(rzhang@nuist.edu.cn)
英文摘要El Ni & ntilde;o-Southern Oscillation (ENSO) constitutes the most prominent interannual climate variation mode in the climate system that originates from ocean-atmosphere interactions in the tropical Pacific. Accurately modeling ENSO variation has consistently posed a great challenge, exhibiting strongly model-dependent representations and simulations of ENSO. This study presents a novel hybrid coupled model (HCM), denoted HCMROMS, built upon the Regional Ocean Modeling System (ROMS) that has been widely used for regional modeling studies. For basin-wide applications to the tropical Pacific, here, the ROMS is coupled with a statistical atmospheric model. The statistical atmospheric model is based on singular value decomposition (SVD), capturing interannual relationships of atmospheric perturbations such as wind stress and freshwater flux anomalies with sea surface temperature (SST) anomalies. The model is constructed in a flexible way so that various components representing atmospheric forcing and oceanic biogeochemistry can be easily included as a module in the HCMROMS. Results demonstrate that the HCMROMS can simulate a stable quasi-3-year ENSO cycle when the interannual wind stress coupling coefficient, alpha tau, is set to 1.5. The HCMROMS reproduces the three-dimensional (3D) evolution of ENSO-related anomalies, revealing that the most pronounced temperature anomalies occur beneath the surface at 150 m. The interannual temperature anomaly budget highlights the dominance of the advection process in simulated ENSO. Vertical mixing contributes negatively to ENSO anomalies, damping temperature anomalies from the surface due to the turbulent heat flux feedback. This newly developed HCMROMS is poised to serve as an efficient modeling tool for ENSO research in the future.
WOS关键词NINO-SOUTHERN OSCILLATION ; SEA-SURFACE TEMPERATURE ; GENERAL-CIRCULATION MODEL ; FRESH-WATER FLUX ; INTERANNUAL VARIABILITY ; ATMOSPHERIC TELECONNECTIONS ; SALINITY VARIABILITY ; STATISTICAL-MODELS ; RECHARGE PARADIGM ; UNIFIED VIEW
资助项目Laoshan Laboratory[LSKJ202202402] ; National Natural Science Foundation of China (NSFC)[42030410] ; Startup Foundation for Introducing Talent of NUIST ; Jiangsu Innovation Research Group[JSSCTD 202346]
WOS研究方向Geology
语种英语
WOS记录号WOS:001563818100001
出版者COPERNICUS GESELLSCHAFT MBH
源URL[http://ir.qdio.ac.cn/handle/337002/203269]  
专题海洋研究所_海洋环流与波动重点实验室
通讯作者Zhang, Rong-Hua
作者单位1.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, State Key Lab Climate Syst Predict & Risk Manageme, Nanjing, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
3.Univ Calif Davis, Dept Land & Air & Water Resources, Davis, CA USA
4.Woods Hole Oceanog Inst, Woods Hole, MA USA
5.Natl Taiwan Univ, Inst Oceanog, Taipei, Taiwan
6.Laoshan Lab, Qingdao, Peoples R China
推荐引用方式
GB/T 7714
Yu, Yang,Li, Yin-Nan,Zhang, Rong-Hua,et al. A flexible Regional Ocean Modeling System-based hybrid coupled model for El Ni?o-Southern Oscillation studies - model formulation and performance evaluation[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2025,18(17):5527-5547.
APA Yu, Yang.,Li, Yin-Nan.,Zhang, Rong-Hua.,Chen, Shu-Hua.,Tseng, Yu-Heng.,...&Wang, Hongna.(2025).A flexible Regional Ocean Modeling System-based hybrid coupled model for El Ni?o-Southern Oscillation studies - model formulation and performance evaluation.GEOSCIENTIFIC MODEL DEVELOPMENT,18(17),5527-5547.
MLA Yu, Yang,et al."A flexible Regional Ocean Modeling System-based hybrid coupled model for El Ni?o-Southern Oscillation studies - model formulation and performance evaluation".GEOSCIENTIFIC MODEL DEVELOPMENT 18.17(2025):5527-5547.

入库方式: OAI收割

来源:海洋研究所

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