Variations in the eastern Indian Ocean warm pool and its relation to the dipole in the tropical Indian Ocean     

张启龙  侯一筠  齐庆华  白学志 《中国海洋湖沼学报》2009,27(3):640-649

Based on the monthly average SST and 850 hPa monthly average wind data,the seasonal,interannual and long-term variations in the eastern Indian Ocean warm pool(EIWP) and its relationship to the Indian Ocean Dipole(IOD),and its response to the wind over the Indian Ocean are analyzed in this study.The results show that the distribution range,boundary and area of the EIWP exhibited obviously seasonal and interannual variations associated with the ENSO cycles.Further analysis suggests that the EIWP had obvious l...  相似文献   

偶极子间距对电法检测填埋场渗漏的影响     

管绍朋  王玉玲  能昌信  孙文燕 《物探与化探》2012,36(3):445-447

偶极子间距会对电法检测填埋场漏洞的灵敏度和准确度产生影响。基于电法检测填埋场渗漏的原理,对偶极子间距的影响进行了分析及实验验证。理论及实验结果表明：偶极子间距越大,漏洞检测的灵敏度越高,但定位准确度同时降低且易造成漏检;偶极子间距越小,漏洞定位的准确度越高,但检测灵敏度降低。工程实践中,偶极子间距通常确定为1 m。  相似文献   

亚洲夏季风环流结构与热带印度洋偶极型海温异常   总被引：1，自引：0，他引：1  

于波  管兆勇 《南京气象学院学报》2009,32(6):765-775

使用T42L28大气环流模式就夏季风时期大气对印度洋海温偶极子型异常的响应进行了数值试验研究,结果表明,印度洋偶极子型海温异常可以引起感热和潜热加热异常并进而形成异常辐合辐散,导致热带印度洋及其邻近地区夏季降水异常。同时此热带扰动可激发或造成中纬度异常波列。通过改变季风区温度场分布,偶极子型海温强迫可以影响大气的正／斜压环流结构和斜压性强弱。强的纬向风垂直切变趋向于靠近海洋异常偏暖的地区。不论是正偶极子型强迫或负偶极子型强迫,西太平洋暖池和东亚地区的大气环流均出现异常并激发出中纬度的异常波列,但异常类型并未显著反相。  相似文献   

Warming in the Northwestern Indian Ocean Associated with the El Nio Event     

YUAN Yuan ZHOU Wen  YANG Hui  and LI Chongyin State Key Laboratory of Numerical Modeling for Atmospheric Sciences  Geophysical Fluid Dynamics 《大气科学进展》2008,(2)

This paper investigates possible warming effects of an El Nino event on the sea surface temperature anomaly (SSTA) in the northwestern Indian Ocean. Most pure positive Indian Ocean dipole (IOD) events (without an El Nino event co-occurring) have a maximum positive SSTA mainly in the central Indian Ocean south of the equator, while most co-occurrences with an El Nino event exhibit a northwest-southeast typical dipole mode. It is therefore inferred that warming in the northwestern Indian Ocean is closely related to the El Nino event. Based on the atmospheric bridge theory, warming in the northwestern Indian Ocean during co-occurring cases may be primarily caused by relatively less latent heat loss from the ocean due to reduced wind speed. The deepened thermocline also contributes to the warming along the east coast of Africa through the suppressed upwelling of the cold water. Therefore, the El Nino event is suggested to have a modulating effect on the structure of the dipole mode in the tropical Indian Ocean.  相似文献   

How accurately do coupled climate models predict the leading modes of Asian-Australian monsoon interannual variability?   总被引：1，自引：0，他引：1  

Bin Wang  June-Yi Lee  I.-S. Kang  J. Shukla  J.-S. Kug  A. Kumar  J. Schemm  J.-J. Luo  T. Yamagata  C.-K. Park 《Climate Dynamics》2008,30(6):605-619

Accurate prediction of the Asian-Australian monsoon (A-AM) seasonal variation is one of the most important and challenging tasks in climate prediction. In order to understand the causes of the low accuracy in the current prediction of the A-AM precipitation, this study strives to determine to what extent the ten state-of-the-art coupled atmosphere-ocean-land climate models and their multi-model ensemble (MME) can capture the two observed major modes of A-AM rainfall variability–which account for 43% of the total interannual variances during the retrospective prediction period of 1981–2001. The first mode is associated with the turnabout of warming to cooling in the El Niño-Southern Oscillation (ENSO), whereas the second mode leads the warming/cooling by about 1 year, signaling precursory conditions for ENSO. The first mode has a strong biennial tendency and reflects the Tropical Biennial Oscillation (Meehl in J Clim 6:31–41, 1993). We show that the MME 1-month lead prediction of the seasonal precipitation anomalies captures the first two leading modes of variability with high fidelity in terms of seasonally evolving spatial patterns and year-to-year temporal variations, as well as their relationships with ENSO. The MME shows a potential to capture the precursors of ENSO in the second mode about five seasons prior to the maturation of a strong El Niño. However, the MME underestimates the total variances of the two modes and the biennial tendency of the first mode. The models have difficulties in capturing precipitation over the maritime continent and the Walker-type teleconnection in the decaying phase of ENSO, which may contribute in part to a monsoon “spring prediction barrier” (SPB). The NCEP/CFS model hindcast results show that, as the lead time increases, the fractional variance of the first mode increases, suggesting that the long-lead predictability of A-AM rainfall comes primarily from ENSO predictability. In the CFS model, the correlation skill for the first principal component remains about 0.9 up to 6 months before it drops rapidly, but for the spatial pattern it exhibits a drop across the boreal spring. This study uncovered two surprising findings. First, the coupled models’ MME predictions capture the first two leading modes of precipitation variability better than those captured by the ERA-40 and NCEP-2 reanalysis datasets, suggesting that treating the atmosphere as a slave may be inherently unable to simulate summer monsoon rainfall variations in the heavily precipitating regions (Wang et al. in J Clim 17:803–818, 2004). It is recommended that future reanalysis should be carried out with coupled atmosphere and ocean models. Second, While the MME in general better than any individual models, the CFS ensemble hindcast outperforms the MME in terms of the biennial tendency and the amplitude of the anomalies, suggesting that the improved skill of MME prediction is at the expense of overestimating the fractional variance of the leading mode. Other outstanding issues are also discussed.  相似文献   

Light vector mesons photoproduction and nuclear shadowing     

Haimon Trebien 《Astronomische Nachrichten》2024,345(2-3):e230178

In this work, we study the photoproduction of mesons considering the proton and the nucleus as the target. Utilizing the dipole picture and the wave functions obtained via AdS/QCD, we were able to describe the HERA data and extend the formalism to the nuclear case considering the Glauber–Gribov model. The preliminary results obtained in the nuclear regime are compared to the recent LHC data and suggest the presence of a nuclear effect called shadowing.  相似文献   

1976/1977年前后热带印度洋海表温度年际异常的变化   总被引：1，自引：0，他引：1  

赵珊珊  周天军  杨修群 《大气科学》2008,32(2):371-379

基于1948～2005年NCEP/NCAR（美国大气研究中心/环境预测中心）再分析资料,讨论了1976/1977年前后的年代际气候变化对热带印度洋海表温度（SST）年际变率特征的影响,结果表明:在气候变化前后,ENSO都能导致热带印度洋SSTA（海表面温度异常）出现全海盆同号的变化,这种模态在冬季最强;气候变化前与变化后相比,该模态对该地区海温年际变率的方差贡献大22.1%, 达到最强的时间早2个月。气候变化前,秋季热带印度洋SSTA的主导年际变率模态表现为全海盆同号,变化后则表现为“偶极子模态”（IODM）。导致上述SSTA特征变化的重要原因,是气候变化前后印度洋风场对ENSO的响应不同。在气候变化前,与ENSO相关联的热带印度洋东风异常首先在夏季出现,而变化后则首先在春季出现,并且有一反气旋性环流异常维持在热带东南印度洋。  相似文献   

地下核爆炸Lg波的激发机制   总被引：8，自引：3，他引：5       下载免费PDF全文

何永锋  陈晓非  张海明 《地球物理学报》2005,48(2):367-372

地下核爆炸Lg波的激发机制,目前尚未十分清楚.其中主要观点之一是源区附近由补偿线性矢量偶极源（CLVD）激发的Rg波的散射形成的S波是Lg波能量的主要来源.本文利用理论地震图模拟方法,基于东哈萨克斯坦地区速度模型,分析比较了东哈萨克斯坦地壳速度模型下的爆炸源、张裂源及CLVD源对区域震相Lg波的影响.结果表明,从能量的角度来看,CLVD源是激发Lg波的主要因素.模拟计算结果也进一步证实了CLVD源激发的Lg波振幅谱具有低谷点的特征源自于该震源所激发的Rg波;在此基础之上,检验了Patton提出的估算震源埋藏深度的经验公式.结果发现,该公式仅适用于震源埋藏深度较浅的情况（<500m）.这些结果对于进一步理解及更好地利用Lg波具有重要理论指导意义.  相似文献   

基于地下VLF人工信号源的定位技术研究          下载免费PDF全文

黄河  乌效鸣  张峰  许洁  杨晖 《探矿工程》2017,44(4):49-52

基于甚低频电磁波(VLF)穿透地层能力,研究地层对信号造成的影响,评估频率、功率和信号穿透能力的关系;从信号源、天线、信号处理滤波等方面讨论其实现的原理及关键技术;筛选适合地下-地表单向通信的合理方式和载波机制;建立简化的磁偶子定位模型,完成信号源的定向和定深。总结甚低频定位技术的关键方案,为煤层气水平井、水平对接孔、定向钻进导向孔、矿井救援等钻探领域中孔内信号传输提供一种新的通讯技术。  相似文献   

Construction of Statistical-Dynamic Prediction Model for the Asian-Australian Summer Monsoon Based on the Predictable Mode Analysis Method and Assessment of Its Predictive Skills     

Sun Qian  Wu Bo  Zhou Tianjun 《地球科学进展》2017,32(4):420-434

Due to the limitations of model performances, the predictive skills of current climate models for the Asian-Australian summer monsoon precipitation are still poor. The prediction based on the combination of statistical and dynamic approaches is an effective way to improve the predictive skills. We used such method to identify the predictable modes of the Asian-Australian summer monsoon precipitation with clear physical interpretation from the historical observational data. Then we combined the principal components time series of these modes predicted by the coupled models, which is derived from the seasonal prediction experiments in the ENSEMBLES project, and the corresponding spatial patterns derived from the above observational analysis to reconstruct the precipitation field. These formed a statistical-dynamic seasonal prediction model for the Asian-Australian summer monsoon precipitation. We analyzed the predictive skills of the model at 1-, 4-and 7-month leads. The result shows that the forecast skills of the statistical-dynamic prediction model are higher than those of the simple dynamic predictions. In addition, the predictive skills of the Multi-Model Ensemble (MME) mean are superior to those of any individual models. Therefore, it is very necessary to implement multi-model ensemble prediction for the monsoon precipitation.  相似文献