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Predictability of the western North Pacific summer climate demonstrated by the coupled models of ENSEMBLES

机译:ENSEMBLES耦合模型证明了北太平洋西部夏季气候的可预测性

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摘要

The Asian monsoon system, including the western North Pacific (WNP), East Asian, and Indian monsoons, dominates the climate of the Asia-Indian Ocean-Pacific region, and plays a significant role in the global hydrological and energy cycles. The prediction of monsoons and associated climate features is a major challenge in seasonal time scale climate forecast. In this study, a comprehensive assessment of the interannual predictability of the WNP summer climate has been performed using the 1-month lead retrospective forecasts (hindcasts) of five state-of-the-art coupled models from ENSEMBLES for the period of 1960-2005. Spatial distribution of the temporal correlation coefficients shows that the interannual variation of precipitation is well predicted around the Maritime Continent and east of the Philippines. The high skills for the lower-tropospheric circulation and sea surface temperature (SST) spread over almost the whole WNP. These results indicate that the models in general successfully predict the interannual variation of the WNP summer climate. Two typical indices, the WNP summer precipitation index and the WNP lower-tropospheric circulation index (WNPMI), have been used to quantify the forecast skill. The correlation coefficient between five models' multi-model ensemble (MME) mean prediction and observations for the WNP summer precipitation index reaches 0.66 during 1979-2005 while it is 0.68 for the WNPMI during 1960-2005. The WNPMI-regressed anomalies of lower-tropospheric winds, SSTs and precipitation are similar between observations and MME. Further analysis suggests that prediction reliability of the WNP summer climate mainly arises from the atmosphere-ocean interaction over the tropical Indian and the tropical Pacific Ocean, implying that continuing improvement in the representation of the air-sea interaction over these regions in CGCMs is a key for long-lead seasonal forecast over the WNP and East Asia. On the other hand, the prediction of the WNP summer climate anomalies exhibits a remarkable spread resulted from uncertainty in initial conditions. The summer anomalies related to the prediction spread, including the lower-tropospheric circulation, SST and precipitation anomalies, show a Pacific-Japan or East Asia-Pacific pattern in the meridional direction over the WNP. Our further investigations suggest that the WNPMI prediction spread arises mainly from the internal dynamics in air-sea interaction over the WNP and Indian Ocean, since the local relationships among the anomalous SST, circulation, and precipitation associated with the spread are similar to those associated with the interannual variation of the WNPMI in both observations and MME. However, the magnitudes of these anomalies related to the spread are weaker, ranging from one third to a half of those anomalies associated with the interannual variation of the WNPMI in MME over the tropical Indian Ocean and subtropical WNP. These results further support that the improvement in the representation of the air-sea interaction over the tropical Indian Ocean and subtropical WNP in CGCMs is a key for reducing the prediction spread and for improving the long-lead seasonal forecast over the WNP and East Asia.
机译:亚洲季风系统,包括北太平洋西部(WNP),东亚和印度季风,主导着亚洲-印度洋-太平洋地区的气候,并且在全球水文和能源循环中发挥着重要作用。季风和相关气候特征的预测是季节性时标气候预测的主要挑战。在这项研究中,使用1960-2005年期间ENSEMBLES的五个最先进的耦合模型进行了为期1个月的前期回顾性预报(后预报),对WNP夏季气候的年际可预报性进行了全面评估。 。时间相关系数的空间分布表明,在海洋大陆和菲律宾东部地区,降水的年际变化得到了很好的预测。低对流层环流和海面温度(SST)的高级技能几乎遍及整个WNP。这些结果表明,这些模型总体上成功地预测了WNP夏季气候的年际变化。 WNP夏季降水指数和WNP对流层低层环流指数(WNPMI)这两个典型指标已用于量化预报技能。 WNP夏季降水指数的五个模型的多模型集合平均预报与观测值之间的相关系数在1979-2005年期间达到0.66,而在1960-2005年期间WNPMI为0.68。低层对流层风,海温和降水的WNPMI回归异常在观测值和MME之间是相似的。进一步的分析表明,WNP夏季气候的预测可靠性主要源于热带印度洋和热带太平洋上的大气-海洋相互作用,这意味着持续改进CGCM中这些区域的空气-海洋相互作用的代表性是关键WNP和东亚地区的长期领先季节性预报。另一方面,由于初始条件的不确定性,对WNP夏季气候异常的预测显示出显着的扩散。与预测范围相关的夏季异常,包括低层对流层环流,海温和降水异常,在WNP的子午方向上表现为太平洋日本或东亚太平洋模式。我们的进一步研究表明,WNPMI预测散布主要来自WNP和印度洋上海-气相互作用的内部动力学,因为异常SST,环流和降水之间的局部关系与散布相关。 WNPMI在观测值和MME中的年际变化。但是,与分布有关的这些异常的强度较弱,范围是热带印度洋和亚热带WNP上MME中WNPMI的年际变化所引起的异常的三分之一至一半。这些结果进一步支持,CGCM中热带印度洋和亚热带WNP的海-气相互作用的代表性的提高是减少预报的传播和改善WNP和东亚的长期铅季节性预报的关键。

著录项

  • 来源
    《Climate dynamics》 |2012年第2期|p.329-346|共18页
  • 作者

    Chaofan Li; Riyu Lu; Buwen Dong;

  • 作者单位

    State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, PO Box 9804, Beijing 100029, China;

    State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, PO Box 9804, Beijing 100029, China;

    Department of Meteorology, National Centre for Atmospheric Science-Climate, University of Reading, Reading, UK;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    western north pacific; coupled models; seasonal forecast; ENSEMBLES; summer climate; prediction spread;

    机译:北太平洋西部;耦合模型季节性预报;封装;夏季气候;预测价差;

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