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赵雨晴, 凌健. 2020. 海气耦合对MJO数值模拟的影响[J]. 气候与环境研究, 25(4): 353−365. doi: 10.3878/j.issn.1006-9585.2019.19052
引用本文: 赵雨晴, 凌健. 2020. 海气耦合对MJO数值模拟的影响[J]. 气候与环境研究, 25(4): 353−365. doi: 10.3878/j.issn.1006-9585.2019.19052
ZHAO Yuqing, LING Jian. 2020. Impact of Air–Sea Coupling on MJO Simulation [J]. Climatic and Environmental Research (in Chinese), 25 (4): 353−365. doi: 10.3878/j.issn.1006-9585.2019.19052
Citation: ZHAO Yuqing, LING Jian. 2020. Impact of Air–Sea Coupling on MJO Simulation [J]. Climatic and Environmental Research (in Chinese), 25 (4): 353−365. doi: 10.3878/j.issn.1006-9585.2019.19052

海气耦合对MJO数值模拟的影响

Impact of Air–Sea Coupling on MJO Simulation

  • 摘要: 采用一种基于降水异常追踪MJO(Madden–Julian Oscillation)东传的MJO识别方法(MJO Tracking)评估了参与MJOTF/GASS(MJO Task Force/Global Energy and Water Cycle Experiment Atmospheric System Study)全球模式比较计划的全海气耦合模式(CNRM-CM)、半海气耦合模式(CNRM-ACM)和大气模式(CNRM-AM)1991~2010年模拟MJO的能力,探究了海气耦合过程对模式模拟MJO能力的影响机理。CNRM-CM模式模拟的MJO结构更加接近观测,该模式不仅具有最高的MJO生成频率,也能够模拟较强的MJO强度以及较远的传播距离。海气耦合过程会造成CNRM-CM和CNRM-ACM模式中印度洋—太平洋暖池区域海温气候态的冷偏差。但是这种海温气候态的偏差基本没有改变模式模拟MJO的能力。CNRM-CM中MJO对流中心东(西)侧存在较强的季节内尺度海温暖(冷)异常,纬向梯度明显,而CNRM-ACM和CNRM-AM中不存在这样的海温东西不对称结构。结果表明在CNRM模式中海气耦合过程调控模式海温季节内尺度变率对模式MJO模拟能力的影响比调控模式海温气候态更加重要。

     

    Abstract: The MJO (Madden–Julian Oscillation) simulation ability of the numerical experiments from CNRM GCMs (General Circulation Models) participated in the MJOTF/GASS (MJO Task Force/Global Energy and Water Cycle Experiment Atmospheric System Study) project was evaluated by tracking the eastward propagating positive equatorial precipitation anomalies. The GCMs included a fully coupled simulation (CNRM-CM), a half-coupled simulation (CNRM-ACM), and an uncoupled simulation (CNRM-AM) based on 1991–2010 data. The possible impacts of air–sea coupling on the MJO simulation were investigated. The CNRM-CM showed the highest ability in simulating the MJO characteristics, in terms of the occurrence frequency, amplitude, and propagation range. The climatological sea surface temperature (SST) of the CNRM-CM and CNRM-ACM showed a distinct cold bias over the Indo–Pacific warm pool region, compared with that of the CNRM-AM. The cold bias did not strongly impact the MJO simulation ability compared with the impacts on the MJO simulation abilities of the CNRM-ACM and CNRM-AM. The zonal gradient of the intraseasonal SST was significant in the CNRM-CM, with a strong positive intraseasonal SST anomaly to the east of the MJO convection center and a negative intraseasonal SST anomaly to the west of the MJO convection center when the MJO was over the Indian Ocean. In contrast, such a gradient was lost in the CNRM-ACM and CNRM-AM. The results indicate that the impact of the air–sea coupling on the MJO simulations by the CNRM GCMs was mainly through the influences on the intraseasonal SST variability.

     

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