详细信息
Mechanisms of Intraseasonal Oscillation in Equatorial Surface Currents in the Pacific Ocean Identified by Neural Network Models ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:Mechanisms of Intraseasonal Oscillation in Equatorial Surface Currents in the Pacific Ocean Identified by Neural Network Models
作者:You, Jiming[1];Liang, Peng[1,2,3];Yang, Lina[1,2,3];Zhang, Tianyu[1,2,3];Xie, Lingling[1,2,3];Murtugudde, Raghu[4,5]
机构:[1]Guangdong Ocean Univ, Coll Ocean & Meteorol, Lab Coastal Ocean Variat & Disaster Predict, Zhanjiang, Peoples R China;[2]Dept Educ Guangdong Prov, Key Lab Climate Resources & Environm Continental S, Zhanjiang, Peoples R China;[3]Key Lab Space Ocean Remote Sensing & Applicat, Beijing, Peoples R China;[4]Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD USA;[5]Indian Inst Technol, Mumbai 400076, India
年份:2025
卷号:130
期号:2
外文期刊名:JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
收录:SCI-EXPANDED(收录号:WOS:001422395100001)、、Scopus(收录号:2-s2.0-85218971684)、WOS
基金:This study is supported by the National Key Research and Development Program of China (Grant 2022YFC310310401), the National Natural Science Foundation of China (Grants 42006023, 41706033, and 42276019), the program for scientific research start-up funds of Guangdong Ocean University (Grants R20020, R20023, R17051, R18023, and R20019), the team project funding of scientific research innovation for universities in Guangdong Province (2023KCXTD015), Guangdong Provincial Observation and Research Station for Tropical Ocean Environment in Western Coastal Waters (GSTOEW), and the Modern Education Technology Center of Guangdong Ocean University.
语种:英文
外文关键词:estimation of equatorial currents; feed-forward neural networks; machine learning
外文摘要:The characteristics and origins of intraseasonal oscillations (ISOs) in surface currents over the equatorial Pacific are yet to be detailed due to the deficiency of observational data. This study constructs the Pacific surface currents along the equator (every 0.25 degrees of longitude) from 1993 to 2017 (at daily intervals) using a feedforward neural network and multiple sea surface variables, showing superior correlations and root mean square errors with in situ measurements. Based on this product, the ISOs explain similar to 10%-30% and similar to 20%-50% of the zonal and meridional current variance, respectively, exhibiting disparate characteristics in the western and eastern Pacific. The Madden-Julian Oscillation (MJO) governs the western basin, where the ISOs are more intense during El Ni & ntilde;os. Particularly, significant ISOs in zonal currents (-0.25-0.28 m s-1) span nearly the entire basin during EP-El Ni & ntilde;o summers and winters; the intensity becomes even stronger (-0.27-0.32 m s-1) for CP-El Ni & ntilde;o winters, as the MJO convection center thrives throughout the life cycle. The intraseasonal meridional currents, though much weaker, extend eastward up to similar to 150 degrees W during EP-El Ni & ntilde;o winters. As for the eastern basin, the ISOs arise primarily from baroclinic instability and propagate westward with the phase speed and the domain being fastest and most widespread for La Ni & ntilde;as and vice versa for El Ni & ntilde;os. Both the temperature and salinity effects play an essential role. This study introduces an efficient approach to construct equatorial currents using machine learning, facilitating a deeper diagnosis of the tropical ocean circulation dynamics.
参考文献:
正在载入数据...