排序方式: 共有60条查询结果,搜索用时 140 毫秒
41.
42.
43.
44.
45.
46.
模拟的大气角动量函数Ⅰ.季节性分量 总被引:1,自引:0,他引:1
大气角动量(AAM)变化和地球自转变化密切相关,它们可应用于全球环流模型的检验,根据日本气象厅全球环流模型的输出数据计算出AAM函数,将AAM函数的模拟值与它的观测值以及地球自转变化序列相比,来检验该模型对大气角动量的模拟,限于篇幅,仅给出AAM函数的季节性分量模拟的结果,对于半年项,轴向AAM函数的气压项和风项的模拟值都偏高,赤道向AAM函数的气压项和风项很小,因而未予考虑;对于周年项,轴向AA 相似文献
47.
本文讨论了地震位移场对极移的激发问题.与已有的文献中采用的液核静力方程不同,我们采用文[1]中提出改进的液核静力方程.这样核幔间的连续性条件都可以得到满足.本文所用的地震参数取自文[2]. 在微分方程求解过程中,把整个球体分成两部分:内部是球心附近的一个小球,外部为一球壳.在内部我们应用幂级数渐近解,外部采用Runge-Kutta数值解.这样可以避免数值解过程中球心处的奇异性问题.计算结果表明,虽然用同样的地震参数,由于液核方程的不同,我们的结果比文[2]的结果大三倍左右.这说明,不同的液核方程的影响是比较大的. 相似文献
48.
用分辨率较高的AR谱分析及周期参数精估计法对呼图壁地震台跨断层形变仪的观测资料进行定量分析,发现1990年10月25日乌苏南5.2级地震和1991年6月6日呼图壁东南5.2级地震前,资料的周期、振幅、位相和变化趋势均存在明显的前兆异常。 相似文献
49.
本文主要引用了AR谱技术,通过对人造模型序列以及极移、地球自转、潮汐和太阳活动等实测资料的计算,证实AR谱技术比经典的谱分析方法具有更高的分辨本领,它能为天文和地球动力学的研究工作提供更为精细的信息。 相似文献
50.
Time-Frequency Characteristics of the Relationships Between Tropical Indo-Pacific SSTs 总被引:1,自引:0,他引:1
In this study, several advanced analysis methods are applied to understand the relationships between the Nino-3.4 sea surface temperatures (SST) and the SSTs related to the tropical Indian Ocean Dipole (IOD). By analyzing a long data record, the authors focus on the time-frequency characteristics of these relationships, and of the structure of IOD. They also focus on the seasonal dependence of those characteristics in both time and frequency domains. Among the Nino-3.4 SST, IOD, and SSTs over the tropical western Indian Ocean (WIO) and eastern Indian Ocean (EIO), the WIO SST has the strongest annual and semiannual oscillations. While the Nino-3.4 SST has large inter-annual variability that is only second to its annual variability, the IOD is characterized by the largest semiannual oscillation, which is even stronger than its annual oscillation. The IOD is strongly and stably related to the EIO SST in a wide range of frequency bands and in all seasons. However, it is less significantly related to the WIO SST in the boreal winter and spring. There exists a generally weak and unstable relationship between the WIO and EIO SSTs, especially in the biennial and higher frequency bands. The relationship is especially weak in summer and fall, when IOD is apparent, but appears highly positive in winter and spring, when the IOD is unimportantly weak and even disappears. This feature reflects a caution in the definition and application of IOD. The Nino-3.4 SST has a strong positive relationship with the WIO SST in all seasons, mainly in the biennial and longer frequency bands. However, it shows no significant relationship with the EIO SST in summer and fall, and with IOD in winter and spring. 相似文献