Influence of southern oscillation index on the variability and predictability of Indian monsoon. A reappraisal

The relationship between the monsoon rainfall throughout all India, northwest India and peninsular India as well as the onset dates of the monsoon and two indices of southern oscillation (SOI), namely Isla de Pascua minus Darwin (I-D) and Tahiti minus Darwin (T-D) pressure anomaly have been studied for different periods. The study indicates that the monsoon rainfall shows a strong and significant direct relationship with SOI for the concurrent, succeeding autumn and succeeding winter seasons. The magnitude of the direct correlation coefficient for the SOI using (I-D) is enhanced over all India and peninsular India if the above seasons happen to be associated with an easterly phase of the QBO (Quasi-Biennial Oscillation) at 50 mb. The result indicates that the strength of the monsoon plays an important role in the following southern oscillation events in the Pacific Ocean. The premonsoon tendency of the SOI anomaly spring minus winter SOI shows a significant positive correlation with monsoon rainfall over all India, northwest India and peninsular India. The absolute value of the positive correlation coefficient becomes highly enhanced over all India, northwest India as well as peninsular India if the 6-month period from December to March is associated with the westerly phase of the QBO. Hence, the premonsoon SOI tendency parameter can be a useful predictor of Indian monsoon rainfall especially if it happens to be associated with the westerly QBO. Significant negative association is also found between the anomaly of monsoon onset dates and SOI of the previous spring season, the absolute value being higher for SOI (T-D) than for SOI (I-D). The negative correlation coefficient becomes enhanced if the previous springs are associated with a westerly phase of the QBO. It shows that the previous spring SOI has some predictive value for the onset date of Indian monsoon, a positive SOI followed by an early onset of monsoon, andvice versa, especially if it is associated with a westerly phase of the QBO.     

试论旋扭构造形成的地球动力学模式——以欧亚旋扭构造体系为例

形成旋扭构造的动力可概括为五个方面:地块随着地球自转速率的变化,局部发生的旋扭;漂移在软流圈之上的地块遇到上拱的“热柱”受到局部牵制而旋扭;地幔熔融体物质对流循环产生蠕动式旋扭;岩石圈拖曳牵动引起旋扭;重力控制下密度分异所引起的水平漫流碰接于上升物质而旋转。欧亚大陆上分布着涡轮状、帚状、莲花状、连环状等各种旋扭构造。     

"98.7"特大暴雨低涡的螺旋度和动能诊断分析

“98．7”特大暴雨过程与700hPa低涡切变线的强烈发展以及丰沛的水汽和强垂直运动密切相关。螺旋度的诊断结果揭示,与强暴雨区和切变线低涡相应的是一对符号相反而又紧邻的螺旋度带。它们的垂直结构是一对符号相反而又互伴的螺旋度柱;螺旋度及其诸分量的量级是相同的。这表明,垂直运动的水平切变和水平速度的垂直切变以及水平速度的水平切变对螺旋度有相同大小的员献,也意味着强垂直运动和低空急流对暴雨的发生和发展极其重要。动能的诊断结果显示。强动能区与暴雨区和低涡切变线有很好的对应关系,在中、低空的强动能中心也正是强降雨中心;动能最强的700hPa也是低涡切变线发展最强的层面。强动能及其强梯度区和强螺旋度区基本一致。表明强动能及其强梯度对螺旋度变率及其通量有重要贡献。     

地面感热对青藏高原低涡流场结构及发展的作用

考虑热带气旋类青藏高原低涡为受加热和摩擦强迫并满足热成风平衡的轴对称涡旋系统,通过求解线性化的柱坐标系中涡旋模式的初值问题,分析了地面感热对高原低涡流场结构及发展的影响,给出了高原低涡眼壁内、外侧水平流场和垂直流场的结构特征,讨论了低涡发展与其水平尺度、垂直厚度、所处纬度以及热量总体输送系数和加热强度的关系.结果表明:地面感热对低涡的生成及发展具有重要作用,但这种作用是否有利于低涡的发展与低涡中心和感热加热中心的配置有关.     

汛期西南低涡移向频数的年际变化与降水

利用1960～1999年汛期西南低涡不同移向的数据资料与同期移向相对应站点的降水量进行同步相关分析和检验，并将通过显著水平a=0．05检验的两组资料用墨西哥帽子波进行分析。结果显示：这40年汛期中出现的西南低涡，在原地生消的占总数的一半以上，而能够继续移动发展的西南低涡以偏东路径为主；东北路径的西南低涡与该方向上太原、石家庄降水的相关比较好，偏东路径与汉口降水相关较好，移动总和与内江降水相关较好；从小波分析结果发现东北、偏东路径低涡出现次数与对应站点降水，在10年以上的时间尺度上它们的分布周期存在良好的对应关系。     

河南春季一次层状云降水云物理结构分析

河南2000年4月14日的降水由冷锋和西南涡产生，降水云系分布不均匀，云图上云区间有带状云隙，雷达回波图上出现两条带状回波，云带内部分布也不均匀，垂直方向上降水云系有分层现象。分析了降水云系的微物理特征，根据可播度的PMS指标确定了航线上过冷水丰富的区域，结合卫星、雷达资料讨论了过冷水丰富区域的分布特征，还讨论了降水云系内部存在的对流不稳定。     

东风波诱生低涡发生发展的螺旋度演变特征分析

利用NCEP 1°×1°再分析资料对2001年8月3~4日浙南闽北的东风波暴雨过程,根据螺旋度(Helicity)分析了过程中的暴雨演变以及雁荡山脉诱生中尺度低涡发生发展的原因。同时,利用中尺度有限区域模式MM5V2对该东风波诱生中尺度低涡进行模拟。结果表明:螺旋度大值中心强度和位置的演变较好地反映了暴雨落区和中尺度低涡的诱生、移动,螺旋度的时空演变对暴雨发生有一定的预示意义,螺旋度计算较中尺度模式得出诱生低涡初生位置、路径预报准确率高,二者集成可以提高诱生低涡的预报准确率。     

南半球热带外准半年振荡及IAP 9L AGCM模拟检验

基于1979—2000年的NCEP/NCAR海平面气压和位势高度场资料分析了南半球大气环流的准半年振荡 (半年波) 现象。结果表明:这一现象主要出现在南半球对流层低层的中高纬度和中高层的热带地区。对南半球热带外大气而言, 40°S和65°S是低层大气环流准半年振荡最为显著的两个纬度带, 半年波的贡献都超过了70%, 低层南半球中高纬度海平面气压场季节变化的反位相也主要体现为各自半年波分量变化的反位相。在此基础上, 检验了IAP 9L AGCM (大气物理研究所9层大气环流模式) 对这一现象模拟的能力, 模拟结果显示, 模式成功模拟了65°S处海平面气压场的准半年振荡现象, 其振幅略低于观测结果, 但模式对40°S处气压场准半年振荡的模拟效果较差。     

高原低涡移出高原的观测事实分析

应用天气学、统计学原理,结合TRMM资料,分析了1998—2004年5—9月移出高原的低涡的活动特征。结果指出:6—8月是高原低涡移出高原影响中国东部天气的主要时段,它与高原低涡在高原上的活动特征及西南低涡移出高原特征均不同;移出高原的高原低涡的涡源主要在曲麻莱附近、德格附近,这与高原上产生低涡的涡源不同;移出高原的高原低涡的移动路径多数是随低槽的活动而向东、向东南移动,这与高原低涡在高原上多数是沿切变线移向东北不同,高原低涡移出高原后,不仅影响中国的范围广,还可能影响到朝鲜半岛、日本;高原低涡移出高原后涡的强度、性质会有变化,在高原以东活动时间长(≥36 h)的高原低涡,移出高原前多数为暖性低涡,移出高原后多数为斜压性低涡,低涡加强、多数可产生暴雨、大暴雨;高原低涡移出高原后移到海洋上,往往因下垫面不同而变化,出海后都有降水加强、多数位势高度下降的现象;移出高原后的高原低涡因东面海上热带气旋活动而少动,与其南面热带气旋活动相向而行,因季风低压少动而少动的现象。     

CLIMATE CHANGE: LONG-TERM TRENDS AND SHORT-TERM OSCILLATIONS

Identifying the Northern Hemisphere (NH) temperature reconstruction and instrumental data for the past 1000 years shows that climate change in the last millennium includes long-term trends and various oscillations. Two long-term trends and the quasi-70-year oscillation were detected in the global temperature series for the last 140 years and the NH millennium series. One important feature was emphasized that temperature decreases slowly but it increases rapidly based on the analysis of different series. Benefits can be obtained of climate change from understanding various long-term trends and oscillations. Millennial temperature proxies from the natural climate system and time series of nonlinear model system are used in understanding the natural climate change and recognizing potential benefits by using the method of wavelet transform analysis. The results from numerical modeling show that major oscillations contained in numerical solutions on the interdecadal timescale are consistent with that of natural proxies. It seems that these oscillations in the climate change are not directly linked with the solar radiation as an external forcing. This investigation may conclude that the climate variability at the interdecadal timescale strongly depends on the internal nonlinear effects in the climate system.