The IOCAS intermediate coupled model(IOCAS ICM) and its real-time predictions of the 2015–2016 El Nio event

被引:31
|
作者
Rong-Hua Zhang [1 ,2 ]
Chuan Gao [1 ,3 ]
机构
[1] Key Laboratory of Ocean Circulation and Waves,Institute of Oceanology, Chinese Academy of Sciences
[2] University of Chinese Academy of Sciences
基金
中国国家自然科学基金;
关键词
The 2015 El Nio event; IOCAS ICM; Real-time prediction; Model performance and improvement; Air-sea interactions;
D O I
暂无
中图分类号
P732 [海洋气象学];
学科分类号
0706 ; 070601 ;
摘要
The tropical Pacific is currently experiencing an El Nio event. Various coupled models with different degrees of complexity have been used to make real-time El Nio predictions, but large uncertainties exist in the intensity forecast and are strongly model dependent. An intermediate coupled model(ICM) is used at the Institute of Oceanology, Chinese Academy of Sciences(IOCAS),named the IOCAS ICM, to predict the sea surface temperature(SST) evolution in the tropical Pacific during the2015–2016 El Nio event. One unique feature of the IOCAS ICM is the way in which the temperature of subsurface water entrained in the mixed layer(T;) is parameterized. Observed SST anomalies are only field that is utilized to initialize the coupled prediction using the IOCAS ICM. Examples are given of the model’s ability to predict the SST conditions in a real-time manner. As is commonly evident in El Nio Southern Oscillation predictions using coupled models,large discrepancies occur between the observed and predicted SST anomalies in spring 2015. Starting from early summer 2015, the model can realistically predict warming conditions. Thereafter, good predictions can be made through the summer and fall seasons of 2015. A transition to normal and cold conditions is predicted to occur in late spring 2016. Comparisons with other model predictions are made and factors influencing the prediction performance of the IOCAS ICM are also discussed.
引用
收藏
页码:1061 / 1070
页数:10
相关论文
共 35 条
  • [21] Real-Time Gait Event Detection Based on Kinematic Data Coupled to a Biomechanical Model
    Lambrecht, Stefan
    Harutyunyan, Anna
    Tanghe, Kevin
    Afschrift, Maarten
    De Schutter, Joris
    Jonkers, Ilse
    SENSORS, 2017, 17 (04)
  • [22] Role of subsurface entrainment temperature (Te) in the onset of El Niño events, as represented in an intermediate coupled model
    Rong-Hua Zhang
    Chuan Gao
    Climate Dynamics, 2016, 46 : 1417 - 1435
  • [23] Evaluation of the real-time El Niño forecasts by the climate network approach between 2011 and present
    Bunde, Armin
    Ludescher, Josef
    Schellnhuber, Hans Joachim
    THEORETICAL AND APPLIED CLIMATOLOGY, 2024, 155 (07) : 6727 - 6736
  • [24] The increased storage of suspended particulate matter in the upper water of the tropical Western Pacific during the 2015/2016 super El Niño event
    Wei Gao
    Zhenyan Wang
    Xuegang Li
    Haijun Huang
    Journal of Oceanology and Limnology, 2021, 39 : 1675 - 1689
  • [25] The increased storage of suspended particulate matter in the upper water of the tropical Western Pacific during the 2015/2016 super El Ni?o event
    Wei GAO
    Zhenyan WANG
    Xuegang LI
    Haijun HUANG
    Journal of Oceanology and Limnology, 2021, 39 (05) : 1675 - 1689
  • [26] Variations of the Eco-Hydro-Climatic Environment Response to the 2015/2016 Super El Niño Event in the Mindanao Dome Upwelling System
    Wei Gao
    Zhenyan Wang
    Haijun Huang
    Journal of Ocean University of China, 2022, 21 : 69 - 80
  • [27] Variations of the Eco-Hydro-Climatic Environment Response to the 2015/2016 Super El Ni?o Event in the Mindanao Dome Upwelling System
    GAO Wei
    WANG Zhenyan
    HUANG Haijun
    Journal of Ocean University of China, 2022, 21 (01) : 69 - 80
  • [28] On the “spring predictability barrier” for strong El Niño events as derived from an intermediate coupled model ensemble prediction system
    QianQian Qi
    WanSuo Duan
    Fei Zheng
    YouMin Tang
    Science China Earth Sciences, 2017, 60 : 1614 - 1631
  • [29] On the “spring predictability barrier” for strong El Nio events as derived from an intermediate coupled model ensemble prediction system
    QI QianQian
    DUAN WanSuo
    ZHENG Fei
    TANG YouMin
    Science China(Earth Sciences), 2017, 60 (09) : 1614 - 1631
  • [30] A case study on the impact of real-time land cover changes in the intertidal zone on coastal meteorological predictions using a coupled atmosphere–ocean model
    Eun-A Ko
    Sang-Keun Song
    Soo-Hwan Moon
    Zang-Ho Shon
    Taekyun Kim
    Seoung Soo Lee
    Meteorology and Atmospheric Physics, 2024, 136