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首页> 外文期刊>Journal of Climate >A physical basis for the probabilistic prediction of the accumulated tropical cyclone kinetic energy in the Western North Pacific.
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A physical basis for the probabilistic prediction of the accumulated tropical cyclone kinetic energy in the Western North Pacific.

机译:北太平洋西部热带气旋累积动能概率预测的物理基础。

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The relationship between El Nino-Southern Oscillation (ENSO) and tropical storm (TS) activity over the western North Pacific Ocean is examined for the period from 1981 to 2010. In El Nino years, TS genesis locations are generally shifted to the southeast relative to normal years and the passages of TSs tend to recurve to the northeast. TSs of greater duration and more intensity during an El Nino summer induce an increase of the accumulated tropical cyclone kinetic energy (ACE). Based on the strong relationship between the TS properties and ENSO, a probabilistic prediction for seasonal ACE is investigated using a hybrid dynamical-statistical model. A statistical relationship is developed between the observed ACE and large-scale variables taken from the ECMWF seasonal forecast system 4 hindcasts. The ACE correlates positively with the SST anomaly over the central to eastern Pacific and negatively with the vertical wind shear near the date line. The vertical wind shear anomalies over the central and western Pacific are selected as predictors based on sensitivity tests of ACE predictive skill. The hybrid model performs quite well in forecasting seasonal ACE with a correlation coefficient between the observed and predicted ACE at 0.80 over the 30-yr period. A relative operating characteristic analysis also indicates that the ensembles have significant probabilistic skill for both the above-normal and below-normal categories. By comparing the ACE prediction over the period from 2003 to 2011, the hybrid model appears more skillful than the forecast from the Tropical Storm Risk consortium.Digital Object Identifier http://dx.doi.org/10.1175/JCLI-D-12-00679.1
机译:研究了1981年至2010年期间北太平洋西部厄尔尼诺-南方涛动(ENSO)与热带风暴(TS)活动之间的关系。在厄尔尼诺年,TS的发生位置通常相对于东南方向向东南移动。正常年份和TS的通道倾向于向东北弯曲。在厄尔尼诺现象夏季,持续时间更长,强度更大的TSs引起热带气旋动能(ACE)的积累。基于TS属性与ENSO之间的强关系,使用混合动力统计模型研究了季节性ACE的概率预测。在观测到的ACE和从ECMWF季节预报系统4后预报中获得的大规模变量之间建立了统计关系。 ACE与太平洋中部到东部的SST异常呈正相关,与日期线附近的垂直风切变呈负相关。根据ACE预测技能的敏感性测试,选择太平洋中部和西部的垂直风切变异常作为预测因子。混合模型在预测季节性ACE方面表现很好,在30年的时间里,观测到的和预测的ACE之间的相关系数为0.80。相对操作特性分析还表明,合奏组对于高于正常水平和低于正常水平的类别均具有显着的概率技巧。通过比较2003年至2011年期间的ACE预测,混合模型似乎比热带风暴风险协会的预测更熟练。数字对象标识符http://dx.doi.org/10.1175/JCLI-D-12- 00679.1

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