全球地表(海表)前期温度与中国及华中地区夏季降水的关联

用SVD方法分析了1月全球地表(海表)温度与中国及华中区域夏季降水场的关系,分析结果表明:1月热带地区地表(海表)温度与夏季长江中游降水关系最好,呈正相关。与新疆西北部、青海东北部、长江上游有弱的正相关,与山东大部分地区、浙江沿海地区有弱的负相关。前期热带海洋海表温度偏高,可能预示长江中游夏季降水偏多,反之亦然。由于分析的范围为全球的陆面和海面,因而其关联范围较已有成果有很大的扩展,不仅仅为热带西太平洋、印度洋和南海,而是整个热带地区,包括热带的海洋和陆地。预报信号也提前了4个月,可为预测长江中游夏季降水提供更长时效的参考和依据。     

Application of Normalized Full Gradient Method to Self Potential (SP) Data

Recently, Normalized Full Gradient (NFG) method has widespread applications to natural potential fields, especially in gravity and magnetic. In this study, usage of NFG in Self-Potential (SP) data evaluation is tested. Results are compared to other SP interpretation methods. The NFG method is applied to synthetic and field SP data. As a consequence of application of the method to the anomalies of spherical, cylindrical and vertical sheet models, whose theoretical structures are explicit, the structures were found very close to their actual locations. In order to see the capability of the method in detecting the number of sources, NFG method was applied to different spherical models at different depths and locations. The least-squares inverse solution was applied to the same models and NFG method was found more powerful in detecting model structure. Sensitivity of NFG method for application to noisy data is also tested. An anomaly is generated by adding a random noise to two close sphere SP anomalies. The method seems to work for the two close spheres at high S/N ratio. Then, NFG method was applied to two field examples. The first one is the cross section taken from the SP anomaly map of the Ergani-Süleymanköy (Turkey) copper mine. The depth of the mineral deposit at that site was found about 38 m from the ground level. This result is well matched to previous studies. NFG was also applied to SP data from Seferihisar Izmir (Western Turkey) geothermal field and the location of the point source was determined. The field data of this site have already been modeled by the thermoelectric source (coupling) solution method. When these two methods are compared, they seem to support each other. It is concluded that the NFG method works perfectly when the structure model is simple. It is observed that natural potential sources close to earth’s surface are identified by the method more accurately at greater harmonics, while deep sources are identified at lesser harmonics. It produces reasonable results for noisy multi-source models than the other parameter identification methods (inverse solution, power spectrum, etc.).     

Noise suppression for microseismic data by non‐subsampled shearlet transform based on singular value decomposition

The existence of strong random noise in surface microseismic data may decrease the utility of these data. Non‐subsampled shearlet transform can effectively suppress noise by properly setting a threshold to the non‐subsampled shearlet transform coefficients. However, when the signal‐to‐noise ratio of data is low, the coefficients related to the noise are very close to the coefficients associated with signals in the non‐subsampled shearlet transform domain that the coefficients related to the noise will be retained and be treated as signals. Therefore, we need to minimise the overlapping coefficients before thresholding. In this paper, a singular value decomposition algorithm is introduced to the non‐subsampled shearlet transform coefficients, and low‐rank approximation reconstructs each non‐subsampled shearlet transform coefficient matrix in the singular value decomposition domain. The non‐subsampled shearlet transform coefficients of signals have bigger singular values than those of the random noise, which implies that the non‐subsampled shearlet transform coefficients can be well estimated by taking only a few largest singular values. Therefore, those properties of singular value decomposition may significantly help minimise overlapping of noise and signals coefficients in the non‐subsampled shearlet transform domain. Finally, the denoised microseismic data are obtained easily by giving a simple threshold to the reconstructed coefficient matrix. The performance of the proposed method is evaluated on both synthetic and field microseismic data. The experimental results illustrate that the proposed method can eliminate random noise and preserve signals of interest more effectively.     

A refined analytical analysis of submerged pipelines in seabed laying

The paper analyzes the elastic deflection of submerged pipelines laid with a stinger by taking into account the overall effects of the ovalization of the cross section. The analysis is performed by means of a singular perturbation technique and the analytical solution obtained is shown to offer different advantages over the finite element method. Two examples demonstrate the effectiveness of the procedure by means of a comparison with results from other less refined analytical solutions and from the commercial finite element code .     

中国云气候特征的分析

利用1983年7月至2001年8月的ISCCP卫星总云量资料, 分析了我国总云量的空间分布特征, 并将全国用193个网格点表示, 采用聚类分析方法, 按照总云量年内变化规律相同的原则将中国分为3个区, 逐区讨论了总云量的年内变化特征;同时, 分析了18年来中国总云量的变化趋势。最后利用奇异值分解法(SVD)找到了我国青藏高原冬季总云量与全国夏季降水的高相关区, 证明青藏高原总云量与我国东北降水正相关密切。     

冬季黑潮区域海温异常对北太平洋风暴轴的影响

该文对15个冬季北太平洋风暴轴区域500 hPa天气尺度滤波位势高度方差与北太平洋海表温度进行了奇异值分解 (SVD) 分析.结果表明, SVD得到的第二对空间典型分布反映了冬季黑潮区域的海温异常与风暴轴的异常变化密切相关.进一步的分析显示, 黑潮区域海温异常可能通过加强风暴轴入口区的斜压性, 激发或加强500 hPa高度场上的WP遥相关型, 主要影响冬季北太平洋风暴轴在入口区的强度变化和南北位移.     

二维单个涡旋的动力学分析

通过对大气流场在奇点处作速度场分解,确定雅可比矩阵特征值与大气运动形式之间的关系,以分析二维气旋、反气旋流场的特性,进一步了解实际二维大气的单个涡旋形态的动力学特性和形成机制。研究认为,任意水平速度场均可分解为线性的含有涡度场（与反对称矩阵对应）和变形场（与对称矩阵对应）的形式。高层地转平衡的高（低）压系统,奇点附近只有负（正）涡度场而无变形场,在天气图上表现为只有顺（逆）时针旋转的闭合涡旋。低层考虑摩擦的高（低）压系统,奇点附近不仅有负（正）涡度场,还有变形场。也就是说,在北半球高压不仅有顺时针旋转气流,还有向外的辐散气流;低压不仅有逆时针旋转气流,还有辐合气流。     

应用奇异向量方法的适应性观测实例研究

近年来,通过适应性观测技术来减小预报误差已成为国际上数值预报中的一项关键技术,然而实施适应性观测对减小预报误差的影响评估是一个需要深入讨论的问题。文中利用奇异向量方法以2007年3月4日东北地区暴风雪天气过程为研究对象,考察了预报误差对不同观测区域观测资料的敏感性,在确定能量范数的基础上,分析了奇异向量的水平分和特征和垂直分布特征,利用奇异向量的空间结构确定了敏感区域。通过伪逆初始扰动场作为分析误差,研究验证区域的预报误差对不同区域增加观测的敏感性,试验结果表明,在敏感区域内进行补充观测来改善分析误差,能够最有效地提高验证区域内的预报水平;而减小非敏感区域内的分析误差对减小预报误差的贡献相对较小。这些结果表明,利用奇异向量法定义敏感区进行适应性观测,能够和有限的观测资源和计算资源的条件下,最大程度地减小验证区域的预报误差,从而达到提高验证区域预报准确率的目的。     

利用奇异值分解法对河南降水与E1Nino区域海温遥相关的分析

本文利用奇异值分解方法对河南省降水与热带太平洋E1Nino区域的海温的时滞遥相关进行分析，分析结果表明：6月河南降水距平与各个E1Nino区前一年7-12月及当年1-2月海温距平有显著负相关；7月河南降水距平与各E1Nino区前一年7-12月及当年1-2月海温距平有显著正相关，10月份降水距平与Ninol 2和Nino4区海温距平有正相关，4月河南降水与前一年1月E1Nino4区显著负相关。     

关于线性奇异向量和条件非线性最优扰动差别的一个注记

奇异向量(singular vectors,SVs)和条件非线性最优扰动(conditional nonlinear optimal perturbation,CNOP)已广泛应用于研究大气—海洋系统的不稳定性以及与其相关的可预报性、集合预报和目标观测问题研究。本文首先回顾了SVs和CNOP的发展历史,并简单描述了它们的基本原理;然后针对二维正压准地转模式,使用不同的范数组合,分析了第一线性奇异向量(first singular vector,FSV)和CNOP之间的异同。结果表明,当优化时间较短时,度量SVs和CNOP大小的范数不同也将导致FSV和CNOP相差很大,而当度量SVs和CNOP大小的范数相同时,FSV和CNOP之间的差别则主要是由非线性物理过程作用的结果。因此,针对不同的物理问题,应该选取合适的度量范数研究FSV和CNOP以及其所引起的大气或海洋动力学的异同,从而揭示非线性物理过程的影响机理。