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Biases in the Tropical Indian Ocean subsurface temperature variability in a coupled model

机译:耦合模型中热带印度洋地下温度变化的偏差

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In this study, the subsurface temperature variability in the Tropical Indian Ocean (TIO) is examined in the Climate Forecast System version 2 (CFSv2) coupled model. The observations and reanalysis show a north-south dominant mode of variability in the TIO subsurface temperature during September-November, the season when the dominant east-west surface mode (Indian Ocean Dipole; IOD) peaks. The nature of the north-south dipole in TIO subsurface temperature is successfully captured by CFSv2. The observations however indicate that this subsurface mode, in general, persists for the next two seasons with stronger signals during December-February, whereas such tenacity is not seen in the model, instead rapid decay of the mode is seen in the model. It is found that the misrepresentation of both equatorial surface wind anomalies and associated Ekman transport as well as the Ekman pumping in the model have close association with the early weakening of the mode in CFSv2. The surface easterlies are generally modulated by the presence of twin anticyclones on both sides of the equator. The model captured these anticyclones with weaker than observed intensity and the northern anticyclone is confined over much smaller regionthan observed. Association of the subsurface mode with El Nino Southern Oscillation (ENSO) and IOD is further examined in this study. The anomalously prolonged decay phase of El Nino in CFSv2 is found only during the El Nino, IOD co-occurrence years, which was not reported before. This paves way for addressing an important modeling issue which is common in many coupled climate models including CFSv2. The analysis suggests the possible role of coupled air-sea interaction over the TIO on the El Nino cycle in the Pacific. It is also found that the misrepresentation of subsurface variability in CFSv2 during December-February is closely associated with the rapid decay of El Nino forced TIO warming.
机译:在这项研究中,在气候预报系统版本2(CFSv2)耦合模型中检查了热带印度洋(TIO)的地下温度变化。观测和重新分析表明,在9月至11月(即主要的东西向地表模式(印度洋偶极子; IOD)达到顶峰的季节)期间,TIO地下温度具有南北向变化模式。 CFSv2成功捕获了TIO地下温度中南北偶极子的性质。但是,观察结果表明,这种地下模式通常会在接下来的两个季节中持续存在,并在12月至2月期间发出更强的信号,而在模型中则看不到这种韧性,而是在模型中看到了模式的快速衰减。结果发现,赤道表面风异常和相关的埃克曼输运以及该模型中的埃克曼抽水的错误表述都与CFSv2模式的早期减弱密切相关。通常在赤道两侧存在双反气旋来调节表面的东风。该模型捕获的反气旋强度比观测到的强度弱,并且北部反气旋被限制在比观测到的更小的区域内。在这项研究中,进一步研究了地下模式与厄尔尼诺南方涛动(ENSO)和IOD的关系。 CFSv2中的El Nino异常延长的衰变阶段仅在El Nino IOD共现年份中才发现,以前没有报道。这为解决重要的建模问题铺平了道路,这在包括CFSv2在内的许多耦合气候模型中都很常见。分析表明,在太平洋的厄尔尼诺现象周期上,海-气耦合相互作用对TIO的可能作用。还发现,在12月至2月期间CFSv2中地下变化的错误表示与El Nino强迫TIO变暖的迅速衰减密切相关。

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  • 来源
    《Climate dynamics》 |2019年第10期|5325-5344|共20页
  • 作者单位

    Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India|Savitribai Phule Pune Univ, Dept Atmospher & Space Sci, Pune, Maharashtra, India;

    Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India;

    Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India;

    Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India|Savitribai Phule Pune Univ, Dept Atmospher & Space Sci, Pune, Maharashtra, India;

    Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India;

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