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41.
基于1979—2015年ERA-Interim再分析资料,分析了夏季"丝绸之路"(the Silk Road,即SR)模态与东亚地区大气环流之间的联系,结果表明:在SR模态正异常年,200 hPa亚洲急流在东亚地区比较弯曲,在中国新疆和环渤海地区500 hPa上分别有一个高度脊和一个高度槽,在蒙古国、中国内蒙古以及日本以东500 hPa上有显著的位势高度正异常,风场异常与高度场配合较好。在对流层中低层的中国北方,有明显的下沉气流,在中国内蒙古、蒙古国以及日本以东,出现位涡负异常,而在朝鲜半岛附近,则有位涡正异常出现。中国环渤海地区降水偏少,而日本大部分地区降水偏多。在SR模态负异常年,200 hPa急流相对平直且更强,500 hPa的波列特征比正异常年更加显著,在中国内蒙古和蒙古国、朝鲜半岛、日本以东分别有"-、+、-"分布的位势高度场异常。与正异常年相比,位于东亚135°E附近的正异常中心变得显著,在该异常中心的西侧和东侧分别有上升和下沉异常气流,对应在朝鲜半岛和中国东北附近有较大的位涡负异常。在环渤海、朝鲜半岛南部和日本、日本以东洋面上,降水分别出现偏多、偏少和偏多现象。 相似文献
42.
利用ECMWF PROVOST项目产生的在给定海表温度强迫下的150(1979~1993)季节集合预报数据集,分析揭示了季节平均气候异常潜在可预报性的全球分布。首先,利用可再现的强迫模态重建集合资料场,在Kolmogorov-Smirnov(K-S)检验的基础上定义潜在可预报性指数PU^k,然后,将重建场的PU^k与重建场贡献于集合平均的方差比结合,提出了定量估计局地潜在可预报性的指数PI。以全球850hPa温度季节平均异常场为例,对PI进行定量计算表明:不仅大部分热带地区,而且热带外一些地区的季节平均气候异常具有潜在可预报性,主要分布在北美、南非和亚洲部分季风区;全球大部分潜在可预报地区主要受ENSO型强迫控制,而部分温带地区如中国华北、中亚、北美南部主要受非ENSO型强迫控制;局地潜在可预报性具有季节性,夏季可预报性较强,冬季较弱。通过与其他几种估计季节潜在可预报性的方法进行比较表明,本文提出的PI方法能更好地把热带外地区受外强迫控制的可预报信号提取出来。 相似文献
43.
In this paper,based on the data at 70 stations selected evenly over China for 31 years from1961—1991.three methods to estimate climatic noise have been discussed and then the climaticnoise and potential predictability of monthly precipitation(January.July.April and October)havebeen examined.The estimating of climatic noise is based on the method of Madden and improvedmethods of Trenberth and Yamamoto et al.(1985).The potential predictability is approximatedby the ratio of the estimated interannual variation to the natural variation.Generally.the climaticnoise of monthly precipitation over China has obvious seasonal variation and it is greater in summerthan in winter,a bit greater in autumn than in spring.In most areas,the climatic noise isprominently decreasing from south to north and from coast to inland.The potential predictabilityof monthly precipitation also has obvious seasonal and regional difference,but the potentialpredictability is greater in winter than in summer in most parts of China.Whereas the comparisonof spring and autumn is not obvious.Comparing with the method of Madden,the estimated valuesof climatic noise based on the improved methods of Trenberth and Yamamoto et al.are relativelylower. 相似文献
44.
北半球阻塞高压的维持Ⅱ:瞬变扰动强迫和平均流位涡平流的形成 总被引:4,自引:2,他引:4
着重探讨大西洋阻高和东亚阻高个例中瞬变扰动位涡(涡度)输送强迫和太平洋阻高中平均流位涡平流的形成机理。结果表明,扰动在阻高西南部西风分流区因形变而产生的扰动拟能向更小尺度串级过程,并不是扰动位涡输送强迫形成的必要机理。扰-流相互作用在阻高西(北)部非分流气流中也十分显著。数值试验表明,这一相互作用也可能是扰动强迫作用形成的机理。而青藏高原和附近海陆对比的强迫作用则可能是太平洋阻高中平均流的位涡平流形成的重要因素。对比分析表明,阻高维持机制的地域性差别可能与其上游(如青藏高原地区、落基山脉)地形和热源强迫作用不同有关。 相似文献
45.
对华北一次特大台风暴雨过程的位涡诊断分析 总被引:36,自引:23,他引:36
通过对9608号台风低压及其外围暴雨位和等熵面上物理量场的分析,揭示了台风低压北上诱发暴雨过程的位涡场的结构及冷空气对暴雨增幅的作用,给出此次暴雨增幅过程的图像。分析表明:对流层低层中高纬度冷空气(高位涡)扩散南下在台风低压环流区附近的“侵入”作用是此次特大暴雨过程的最重要的原因之一;等熵面位涡的分析进一步说明了中高纬地区冷空气的活动状况;对流层高层或平流层低层位涡的下传有利于位势不稳定能量的释放 相似文献
46.
XU Huiand DUAN Wansuo State Laboratory of Numerical Modeling for Atmospheric Sciences Geophysical Fluid Dynamics 《大气科学进展》2008,(4)
With the Zebiak-Cane(ZC)model,the initial error that has the largest effect on ENSO prediction is explored by conditional nonlinear optimal perturbation(CNOP).The results demonstrate that CNOP-type errors cause the largest prediction error of ENSO in the ZC model.By analyzing the behavior of CNOP- type errors,we find that for the normal states and the relatively weak El Nino events in the ZC model,the predictions tend to yield false alarms due to the uncertainties caused by CNOP.For the relatively strong El Nino events,the ZC model largely underestimates their intensities.Also,our results suggest that the error growth of El Nino in the ZC model depends on the phases of both the annual cycle and ENSO.The condition during northern spring and summer is most favorable for the error growth.The ENSO prediction bestriding these two seasons may be the most diffcult.A linear singular vector(LSV)approach is also used to estimate the error growth of ENSO,but it underestimates the prediction uncertainties of ENSO in the ZC model.This result indicates that the different initial errors cause different amplitudes of prediction errors though they have same magnitudes.CNOP yields the severest prediction uncertainty.That is to say,the prediction skill of ENSO is closely related to the types of initial error.This finding illustrates a theoretical basis of data assimilation.It is expected that a data assimilation method can filter the initial errors related to CNOP and improve the ENSO forecast skill. 相似文献
47.
48.
49.
The Combined Effect of Initial Error and Model Error on ENSO Prediction Uncertainty Generated by the Zebiak-Cane Model 下载免费PDF全文
Initial errors and model errors are the source of prediction errors. In this study, the authors compute the conditional nonlinear optimal perturbation (CNOP)-type initial errors and nonlinear forcing singular vector (NFSV)- type tendency errors of the Zebiak-Cane model with respect to El Nifio events and analyze their combined effect on the prediction errors for E1 Nino events. The CNOP- type initial error (NFSV-type tendency error) represents the initial errors (model errors) that have the largest effect on prediction uncertainties for E1 Nifio events under the perfect model (perfect initial conditions) scenario. How- ever, when the CNOP-type initial errors and the NFSV- type tendency errors are simultaneously considered in the model, the prediction errors caused by them are not am- plified as the authors expected. Specifically, the predic- tion errors caused by the combined mode of CNOP-type initial errors and NFSV-type tendency errors are a little larger than those caused by the NFSV-type tendency er- rors. This fact emphasizes a need to investigate the opti- mal combined mode of initial errors and tendency errors that cause the largest prediction error for E1 Nifio events. 相似文献
50.
In an elementary approach every geometrical height difference between the staff points of a levelling line should have a corresponding
average g value for the determination of potential difference in the Earth’s gravity field. In practice this condition requires as
many gravity data as the number of staff points if linear variation of g is assumed between them. Because of the expensive fieldwork, the necessary data should be supplied from different sources.
This study proposes an alternative solution, which is proved at a test bed located in the Mecsek Mountains, Southwest Hungary,
where a detailed gravity survey, as dense as the staff point density (~1 point/34 m), is available along a 4.3-km-long levelling
line. In the first part of the paper the effect of point density of gravity data on the accuracy of potential difference is
investigated. The average g value is simply derived from two neighbouring g measurements along the levelling line, which are incrementally decimated in the consecutive turns of processing. The results
show that the error of the potential difference between the endpoints of the line exceeds 0.1 mm in terms of length unit if
the sampling distance is greater than 2 km. Thereafter, a suitable method for the densification of the decimated g measurements is provided. It is based on forward gravity modelling utilising a high-resolution digital terrain model, the
normal gravity and the complete Bouguer anomalies. The test shows that the error is only in the order of 10−3mm even if the sampling distance of g measurements is 4 km. As a component of the error sources of levelling, the ambiguity of the levelled height difference which
is the Euclidean distance between the inclined equipotential surfaces is also investigated. Although its effect accumulated
along the test line is almost zero, it reaches 0.15 mm in a 1-km-long intermediate section of the line. 相似文献