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161.
The East Asian subtropical westerly jet(EASWJ) is one of the most important factors modulating the Meiyu rainfall in the Yangtze-Huaihe River Basin, China. This article analyzed periods of the medium-term EASWJ variation,wave packet distribution and energy propagation of Rossby waves along the EASWJ during Meiyu season, and investigated their possible influence on abnormal Meiyu rain. The results showed that during the medium-term scale atmospheric dynamic process, the evolution of the EASWJ in Meiyu season was mainly characterized by the changes of3-8 d synoptic-scale and 10-15 d low-frequency Rossby waves. The strong perturbation wave packet and energy propagation of the 3-8 d synoptic-scale and 10-15 d low-frequency Rossby waves are mostly concentrated in the East Asian region of 90°-150°E, where the two wave trains of perturbation wave packets and wave-activity flux divergence coexist in zonal and meridional directions, and converge on the EASWJ. Besides, the wave trains of perturbation wave packet and wave-activity flux divergence in wet Meiyu years are more systematically westward than those in dry Meiyu years, and they are shown in the inverse phases between each other. In wet(dry) Meiyu year, the perturbation wave packet high-value area of the 10-15 d low-frequency variability is located between the Aral Sea and the Lake Balkhash(in the northeastern part of China), while over eastern China the wave-activity flux is convergent and strong(divergent and weak), and the high-level jets are strong and southward(weak and northward). Because of the coupling of high and low level atmosphere and high-level strong(weak) divergence on the south side of the jet over the Yangtze-Huaihe River Basin, the low-level southwest wind and vertically ascending motion are strengthened(weakened), which is(is not)conducive to precipitation increase in the Yangtze-Huaihe River Basin. These findings would help to better understand the impact mechanisms of the EASWJ activities on abnormal Meiyu from the perspective of medium-term scale Rossby wave energy propagation.  相似文献   
162.
The sea surface temperature(SST) in the Indian Ocean affects the regional climate over the Asian continent mostly through a modulation of the monsoon system.It is still difficult to provide an a priori indication of the seasonal variability over the Indian Ocean.It is widely recognized that the warm and cold events of SST over the tropical Indian Ocean are strongly linked to those of the equatorial eastern Pacific.In this study,a statistical prediction model has been developed to predict the monthly SST over the tropical Indian Ocean.This model is a linear regression model based on the lag relationship between the SST over the tropical Indian Ocean and the Ni o3.4(5°S-5°N,170°W-120°W) SST Index.The predictor(i.e.,Ni o3.4 SST Index) has been operationally predicted by a large size ensemble El Ni o and the Southern Oscillation(ENSO) forecast system with coupled data assimilation(Leefs_CDA),which achieves a high predictive skill of up to a 24-month lead time for the equatorial eastern Pacific SST.As a result,the prediction skill of the present statistical model over the tropical Indian Ocean is better than that of persistence prediction for January 1982 through December 2009.  相似文献   
163.
This study designed a simple index for measuring irregular tropospheric biennial oscillation(TBO) activities, which was used to determine that the TBO in the East Asian Summer Monsoon(EASM), the most important summer precipitation system for China, has strengthened rather than weakened since the late 1970s. The lead/lag correlations between the EASM and tropical Indian-Pacific sea surface temperature(SST) suggest a relationship between interbasin SST and EASM coupling processes and that this alternative correlation pattern is likely related to TBO. Significant correlation occurred only in recent decades, which implies a reinforcement of TBO in the EASM. From records of representative points in the Indian-Pacific, the interdecadal intrinsic SST modes of the areas can be obtained with ensemble empirical mode decomposition owing to its good temporal locality. Statistical results show Indian-Pacific SST interdecadal trends that include out-of-phase and in-phase warming before and after the late 1970s, respectively, which may be responsible for the TBO interdecadal augmentation present since the late 1970s.  相似文献   
164.
The atmospheric circulation over the mid-high latitudes in Asia has an important influence on regional climate, yet its long-term variation has not been fully explored. The main task of this study is to reveal the interdecadal variation features of summer atmospheric circulation over Asian mid-high latitudes in recent decades. The results show that the atmospheric circulation over mid-high latitudes of Asia has stronger interdecadal fluctuations than that over low latitudes and one significant change center appears near Lake Baikal. It is found that the atmospheric circulation near Lake Baikal has a significant interdecadal change around 1996 and a deep anomalous anticyclonic circulation has been controlling this region since then, which contributes to the significant increase in the surface temperature near Lake Baikal since 1997 and makes the region a remarkable warming center in Asia in recent 40 years. During 1997-2015, the pattern of less precipitation in the north and more precipitation in the south of east China is closely related to the anomalous anticyclonic circulation near Lake Baikal. Especially, this anomalous circulation near Lake Baikal has been found to contribute to the obvious interdecadal decrease of the precipitation in northeast China and north China near 1997. The sea surface temperature (SST) of northwestern Atlantic is an important influence factor to the interdecadal change in the atmospheric circulation near Lake Baikal around 1996.  相似文献   
165.
利用高时间分辨率热带海洋浮标站点观测资料,分析热带区域海水温度多时间尺度变化特征,研究海水温度的日变化、季节变化和季节内变化。结果表明:热带海表面温度(Sea Surface Temperature,SST)具有不对称性的日变化特征。SST日较差与天气状况关系密切。有降水日的SST日平均值和幅度均低于无降水日,其不对称性具有区域性差异。在不同ENSO位相年份下的SST日平均值和振幅变化具有区域性,太平洋西部(Western Pacific,WP)的平均值和振幅差距较小,太平洋东部(Eastern Pacific,EP)和印度洋(Indian Ocean,IO)区域在El Niňo年的日平均值和振幅均大于La Niňa年。SST随季节变化具有区域性特征,WP区域SST的日平均温度和振幅在秋季最大,冬季最小;而EP和IO区域的日平均温度和振幅在春季最大,夏季最小。且SST日变化幅度随季节变化显著,主要受太阳短波辐射、降水和风速随季节变化的调制。此外,在季节内振荡时间尺度上,海水温度在200 m深度内随时间呈周期性变化,海水温度出现最大变率的中心位于100~150 m的深度范围内。不同区域由于温跃层深度不同,最大变率位置也有所差别。对海水温度变化特征分析可以为海—气耦合模式提供观测依据,以便准确地评估模式对海水温度的模拟效果。  相似文献   
166.
地温异常数据原因分析及处理方法   总被引:1,自引:0,他引:1  
针对地温异常数据种类,结合天气学原理、气象要素的时间、空间变化规律和各要素间相互联系的规律进行分析,找出导致异常数据原因,提出相应的处理方法,尽可能使缺测的要素及缺测时次减小到最小值,最大限度地保证资料的完整.  相似文献   
167.
In this study, two modes of the Silk Road pattern were investigated using NCEP2 reanalysis data and the simulation produced by Spectral Atmospheric Circulation Model of IAP LASG, Version 2 (SAMIL2.0) that was forced by SST observation data. The horizontal distribution of both modes were reasonably reproduced by the simulation, with a pattern correlation coefficient of 0.63 for the first mode and 0.62 for the second mode. The wave train was maintained by barotropic energy conversion (denoted as CK) and baroclinic energy conversion (denoted as CP) from the mean flow. The distribution of CK was dominated by its meridional component (CK y ) in both modes. When integrated spatially, CK y was more efficient than its zonal component (CK x ) in the first mode but less in the second mode. The distribution and efficiency of CK were not captured well by SAMIL2.0. However, the model performed reasonably well at reproducing the distribution and efficiency of CP in both modes. Because CP is more efficient than CK, the spatial patterns of the Silk Road pattern were well reproduced. Interestingly, the temporal phase of the second mode was well captured by a single-member simulation. However, further analysis of other ensemble runs demonstrated that the successful reproduction of the temporal phase was a result of internal variability rather than a signal of SST forcing. The analysis shows that the observed temporal variations of both CP and CK were poorly reproduced, leading to the low accuracy of the temporal phase of the Silk Road pattern in the simulation.  相似文献   
168.
应用EOF(经验正交函数)迭代方案,考虑多时次历史资料,在全球海区海温与四川盆地气温非同步联系的基础上,以海温为预报因子进行了夏季气温的长期预报。结果表明:西太平洋高温区等关键海区海温的异常对未来四川盆地夏季气温变化有重要影响,由此建立的引入多时次海温的EOF迭代长期温度预报方法,具有较强的预报能力  相似文献   
169.
本文应用统计方法,首先探讨南方涛动指数与西北太平洋副热带高压的联系,然后分析赤道和热带太平洋区域海温对南方涛动的响应情况,同时分析南方涛动响应区域的海温与当时及滞后的西北太平洋副热带高压的联系,从中探讨南方涛动、厄尔尼诺海温异常及西北太平洋副热带高压之间的一种可能的相互作用机制。  相似文献   
170.
西北太平洋海温变化对贵州夏季降水的影响   总被引:5,自引:1,他引:4  
利用1952-2001年贵州15个测站夏季降水和前期太平洋海温场资料,及3因子最佳子集回归求最大复相关系数的方法,把前期不同时间步长、不同时段的海温场作为预报因子与夏季降水求相关。结果发现:用前期海温场作为预报因子对贵州夏季降水进行预报,其预报因子的最佳时间尺度为单月滑动,并且存在着较好的“隔多季度相关”现象。预报因子具有实际预报意义的最佳时段为上1年的8~11月。影响贵州夏季降水的最佳预报因子主要集中分布在海温场具有重要天气气候意义的关键区域。2002、2003、2004年的回报试验结果与实况进行对比分析发现,根据上述理论和预报思路得到的预测试验,具有一定效果,并且对指导贵州夏季降水预测具有一定的参考价值。  相似文献   
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