Pattern characteristics of Indian monsoon rainfall using principal component analysis (PCA)

In the present study the Principal Component Analysis (PCA) is used to determine the dominant rainfall patterns from rainfall records over India. Pattern characteristics of seasonal monsoon rainfall (June–September) over India for the period 1940 to 1990 are studied for 68 stations. The stations have been chosen on the basis of their correlation with all India seasonal rainfall after taking the ‘t’ Student distribution test (5% level). The PCA is carried out on the rainfall data to find out the nature of rainfall distribution and percentage of variance is estimated. The first principal component explains 55.50% of the variance and exhibits factor of one positive value throughout the Indian subcontinent. It is characterized by an area of large positive variation between 10°N and 20°N extending through west coast of India. These types of patterns mostly occur due to the monsoon depression in the head Bay of Bengal and mid-tropospheric low over west coast of India. The analysis identifies the spatial and temporal characteristics of possible physical significance. The first eight principal component patterns explain for 96.70% of the total variance.     

福建沿海剪切波速与土层参数定量关系研究

通过对大量实测数据的分析，按照剪切波速与土层密度、标贯击数、土层埋深之间的关系特征，利用单因子及多因子回归分析方法，给出剪切波速与土层密度、标贯击数、土层埋深的定量关系。     

模式大气月尺度可预报性的对比研究

首先采用方差分析方法，研究了实际大气500 hPa高度场的月尺度可预报性，并进一步分析了不同空间尺度大气运动的可预报性及其对大气整体运动可预报性的影响；对ECMWF和国家气候中心T63谱模式分别模拟和预报的500 hPa高度场，也用同样的方法进行了研究。结果表明，欧洲中心和我国T63模式大气的可预报性均比实际大气可预报性小，特别是在对整体运动可预报性影响最大的0～3波部分，差异较大，说明改进模式对0～3波部分的预报能力，必将提高模式性能。     

Transport of Temperature and Humidity Variance and Covariance in the Marine Surface Layer

In this paper we address the budget of potential temperature T and moisture mixing ratio q variances as well as the q-T covariance budget. We focus on the vertical transport and study the quantities contained in these terms. Estimates of transport terms are rare and to the best of our knowledge they have never been shown together in the literature. For this purpose an extensive set of humidity and temperature turbulence data from two heights in a marine environment has been analysed. We discuss and compare our results with results from earlier studies for a range of stability from near-neutral to unstable. Similarity and differences between T and q behaviour in the surface layer over water are presented.     

方差分量估计简化公式新探

给出方差分量估计的一个新的简化公式-多余观测分量平均匹配公式，讨论其统计性质，并通过实例验证其实用性。     

Hidden information within series of measurements — four examples from atmospheric science

Whether in classical networks such as meteorological networks of in more recent ones of atmospheric chemistry, a wealth of data is at hand. These data have been evaluated in a manner depending on the purpose of the network. However, much more information is hidden in these time series and waits for discovery. Only the imagination of scientists is needed. Four examples are given which lead to new information about the atmospheric aerosol and the behaviour of the atmosphere. These examples are: Atmospheric turbidity from sunshine recordings, Meteorological drainage area from the variance of observations, Location of point sources from air mass trajectories, and Total vertical ozone from turbidity measurements.     

基于多颗低轨卫星的SLR台站坐标几何解算方法

卫星激光测距（SLR）技术作为卫星精密定轨手段和轨道检核重要方法,激光反射器已经成为重力卫星和测高卫星等低轨卫星的基本载荷.经典的SLR台站坐标是使用动力学方法计算的,本文根据多颗低轨卫星（LEO）多历元的激光观测数据,采用几何方法开展地面SLR测站坐标计算.通过组建低轨卫星群实现对全球激光站的动态观测,为了合理配置不同低轨卫星间观测值权重,削弱低轨卫星群可能存在的系统性偏差,提出采用方差分量估计组合的最小二乘法进行解算.实测结果显示,解算出SLR台站坐标框架解与SLRF2014差异平均值在25.1 mm,外符合精度达到1~2 cm.该方法避免了复杂动力学模型,SLR台站坐标的几何计算方法既可以作为激光测站框架解算手段之一,同时将LEO卫星群作为空间并址站实现不同技术地球参考框架间的融合.     

Generalized maximum-likelihood estimation of variance–covariance components with non-informative prior

 A new estimator of variance–covariance components is presented. The proposed estimator is derived by applying the principle of maximum-likelihood estimation to the posterior probability density function for the case when no prior information is available. Received: 9 August 1999 / Accepted: 10 November 2000     

基于随机各向同性背景的粘弹性单斜介质二维三分量正演模拟

将Von Karman型的随机各向同性背景引入粘弹性单斜各向异性波动方程,并应用交错网格技术进行模拟.结果表明在这种非均匀复合介质中波场特性既体现了规律性较强的粘弹性单斜各向异性性质,又体现了介质的随机性特点.具体表现为:胀缩、剪切品质因子造成了振幅的显著衰减;相同方差条件下,尺度越小随机介质干扰强度越大.为进一步研究裂隙型油气藏基本特征提供了有益的参考.