期刊
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
卷 10, 期 8, 页码 1901-1923出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2017MS001250
关键词
an ocean biogeochemistry model; a hybrid coupled model for biogeochemistry-climate interactions; ocean biogeochemistry-induced feedback; ENSO modulations
资金
- National Natural Science Foundation of China [41475101, 41690122(41690120), 41490644(41490640), 41421005]
- Chinese Academy of Sciences Strategic Priority Project
- Western Pacific Ocean System [XDA11010105, XDA11020306]
- NSFC-Shandong Joint Fund for Marine Science Research Centers [U1406402]
- Taishan Scholarship
Multiple processes are involved in modulating the El Nino-Southern Oscillation (ENSO) in the tropical Pacific, and these processes are neither well-represented nor well-understood in climate models. A new hybrid coupled model (HCM) of atmosphere, ocean physics, and ocean biogeochemistry (AOPB) is developed to represent the feedback from ocean biogeochemistry onto ocean physics via modulating the penetration of shortwave radiation in the upper ocean. An ocean biogeochemistry model is coupled with a simplified ocean-atmosphere system consisting of an ocean general circulation model (OGCM) and a statistical atmospheric model for interannual anomalies of wind stress (tau). The HCM AOPB serves as a simple Earth system for the tropical Pacific to represent the coupling among the atmospheric and physical and biogeochemical ocean components. Model experiments are performed to illustrate this new model's ability to depict the mean ocean state and interannual variability associated with the ENSO. The relationships among anomaly fields are analyzed to illustrate the ocean biogeochemistry-induced heating feedback and its modulating effects on the ENSO, which is characterized by a negative feedback. The underlying processes and mechanisms are analyzed and can be attributed to dominant modulation of the penetrative solar radiation through the base of the mixed layer (ML). It is demonstrated that the ocean biogeochemistry-induced negative feedback is mainly driven by more solar radiation penetrating out of the ML during El Nino and less penetrating during La Nina. Further model applications to studies on these processes and biogeochemical-physical interactions are discussed.
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