流星雷达测距精度的改进

针对目前流星雷达测距误差大的问题，本文提出了提高流星雷达测距精度的新方法，即提高采样速率，用相关分析确定回波脉冲参考点的方法。该方法使流星雷达的测距精度提高一个数量级，测距误差降到±１４ｍ，使流星雷达不仅可以用来观测研究流星，还可用于监测飞机、火箭的飞行等，扩大流星雷达的应用。     

Advances in Microphysical features and Measurement Techniques of Raindrops

The size, fall velocity, shape, axis ratio, oscillation, orientation, and their spatial distributions of raindrops are the key parameters for study of rainfall physics, which also have great significance in these fields such as research on the mechanism of soil erosion, calibration of weather radar, classification of present weather, evaluation of rainfall enhancement, and determination of channel in radio communication and navigation systems. This paper reviews the history of measurement technology and method of raindrops’ microphysical features firstly, discusses the status and shortcomings of laboratory wind tunnel experiment, optical disdrometer, and other measurement techniques and theory for the raindrops’ microphysical features, and then the shape, fall velocity, oscillation, and orientation of raindrops are analyzed. Existing disdrometers cannot measure the all the micro-physical characteristics of raindrops, which limit the application of raindrops micro physical characteristics in related area. At last from the point of view of relative area and application, the prospect of the future development trend of raindrops microphysics measurement techniques is concluded.     

A comparative error analysis of manual versus automated methods of data acquisition for algebraic strain estimation

This paper presents a statistical analysis of the algebraic strain estimation algorithm of Shimamoto and Ikeda [Shimamoto, T., Ikeda, Y., 1976. A simple algebraic method for strain estimation from deformed eillipsoidal objects: 1. Basic theory. Tectonophysics 36, 315–337]. It is argued that the error in their strain estimation procedure can be quantified using an expected discrepancy measure. An analysis of this measure demonstrates that the error is inversely proportional to the number of clasts used. The paper also examines the role of measurement error, in particular that incurred under (i) a moment based and (ii) manual data acquisition methods. Detailed analysis of these two acquisition methods shows that in both cases, the effect of measurement error on the expected discrepancy is small relative to the effect of the sample size (number of objects). Given their relative speed advantage, this result favours the use of automated measurement methods even if they incur more measurement error on individual objects. Validation of these results is carried out by means of a simulation study, as well as by reference to studies appearing in previous literature. The results are also applied to obtain an upper bound on the error of strain estimation for various studies published in the literature on strain analysis.     

Wind and Wave Data Analysis for the Aegean Sea - Preliminary Results

In this paper, a statistical analysis on wind and wave buoy measurements and wind and wave model forecasts obtained during a two-year period (1999-2001) is presented with reference to four characteristic near-shore sites of the Aegean Sea. The measurements are a main product of the "POSEIDON" system aiming at the monitoring and forecasting of the state of the Greek seas, operated by the National Centre for Marine Research (NCMR). Although the two-year period is rather short for a thorough analysis of the local wind and wave climate, yet the obtained results, presented herein for the first time, reveal some interesting features of the corresponding wave and wind characteristics. Comparisons between the measurements and the forecast results are also performed at the locations under consideration. It is found that (i) wind speeds obtained from the POSEIDON weather forecasting system are, in general, in agreement with the measurements, except for high wind speeds which are systematically underestimated, (ii) the WAM model can successfully follow the monthly and over year trend of the evolution of wind and wave characteristics, but face significant problems for efficient sea-state forecasting. Finally, the overall pattern of the wind/wave climate for the entire Aegean Sea as obtained from the models is presented by means of the spatial distribution of the mean annual wind and sea-state intensity.     

大气中微量气体的红外吸收

文章介绍了测定大气中微量气体CO2与CH4透过率的试验。所用的主要设备是FTIR分光计及可变光程吸收池。文中叙述了主要实验结果与数据处理方法，同时用FASCODE-2程序计算了对应实验条件下CO2与CH4的透过率，并与实验结果作了比较。     

用非色散红外气体分析仪进行大气CO2本底浓度的测量

按WMO关于开展全球CO2监测的要求，在对引进设备进行改进的情况下，建立了我国开展大气CO2本底浓度连续测量的红外气体分析测量系统及有关方法。系统的测量精度优于0.1ppm，完全满足全球本底测量的要求，并具有较好的国际可比性。在此基础上，首次取得了我国大陆上空大气CO2的本底浓度资料。     

Application of the hydrologic visibility concept to estimate rainfall measurement quality of two planned weather radars

This paper presents a practical application of the “hydrologic visibility” concept to select the future site of two planned weather radars of the French national network ARAMIS. This selection was realised by simulating the errors in radar rainfall measurement due to interactions of the radar beam with relief, and to the vertical variation of the radar reflectivity with altitude. Results show the interest of these simulations to optimise the radar location according to the objectives of radar coverage. Beyond these results, this paper highlights aspects interesting for hydrology: this type of simulation can be used to assess the radar measurement quality before initiating a quantitative exploitation of radar data, and before making a comparison or a combination with rain gauge data.     

人工神经网络方法在鹤壁汛期降水预报中的应用

在用经验统计方法和降水判别函数进行24h和12h晴雨预报的基础上，再用BP人工神经网络建立降水量级预报模型。经2003年汛期试用，预报准确率高于上级指导预报准确率，12h预报准确率高于24h预报准确率。     

Development of airborne oil thickness measurements

A laboratory sensor has now been developed to measure the absolute thickness of oil on water slicks. This prototype oil slick thickness measurement system is known as the laser-ultrasonic remote sensing of oil thickness (LURSOT) sensor. This laser opto-acoustic sensor is the initial step in the ultimate goal of providing an airborne sensor with the ability to remotely measure oil-on-water slick thickness. The LURSOT sensor employs three lasers to produce and measure the time-of-flight of ultrasonic waves in oil and hence provide a direct measurement of oil slick thickness. The successful application of this technology to the measurement of oil slick thickness will benefit the scientific community as a whole by providing information about the dynamics of oil slick spreading and the spill responder by providing a measurement of the effectiveness of spill countermeasures such as dispersant application and in situ burning.

This paper will provide a review of early developments and discuss the current state-of-the-art in the field of oil slick thickness measurement.     

Delineation of geological facies from poorly differentiated data

The ability to delineate geologic facies and to estimate their properties from sparse data is essential for modeling physical and biochemical processes occurring in the subsurface. If such data are poorly differentiated, this challenging task is complicated further by the absence of a clear distinction between different hydrofacies at locations where data are   available. We consider three alternative approaches for analysis of poorly differentiated data: a k$k$-means clustering algorithm, an expectation–maximization algorithm, and a minimum-variance algorithm. Two distinct synthetically generated geological settings are used to analyze the ability of these algorithms to assign accurately the membership of such data in a given geologic facies. On average, the minimum-variance algorithm provides a more robust performance than its two counterparts, and when combined with a nearest neighbor algorithm, it also yields the most accurate reconstruction of the boundaries between the facies.