Conditional sea surface statistics and their impact on geophysical sea surface parameters retrieved from SAR altimetry signals

In this study we present an analytical formulation of synthetic-aperture radar (SAR) altimetry signals including narrow banded nonlinear wave fields and conditional statistics between wave elevation displacements, horizontal wave slopes and vertical wave particle velocities. Considering the wave elevation displacements coskewness with respect to horizontal slopes leads to an analytical formulation of the electromagnetic bias within a SAR-mode altimeter stack. This formulation can be either parametrized by the significant wave height (SWH) and mean wave steepness, or in terms of the variance of vertical wave velocities. The effect of conditional vertical wave particle velocity variances with respect to the observed horizontal wave slopes close to nadir incidence angles leads to an effective reduction of the azimuth blurring of SAR-mode stacks. We present here a formulation of this effect by examining JONSWAP ocean wave spectra. In most cases this effect reduces the azimuth blurring by 10% to 30%. Additionally we investigate the effect of a nonlinear wave elevation displacement probability density function (PDF) on estimated geophysical parameters. We were able to show that including an elevation displacement skewness of 0.13 improves significantly the SWH consistency between altimetry and ECMWF Reanalysis v5 ERA5 results.All of these effects are validated with respect to ERA5 model data in the North East Atlantic region and in situ data located in the German Bight and Baltic Sea.The developed model can be used in both SAR and conventional altimetry retrackers.     

Research on navigation of satellite constellation based on an asynchronous observation model using X-ray pulsar

Pulsar navigation is a promising navigation method for high-altitude orbit space tasks or deep space exploration. At present, an important reason for restricting the development of pulsar navigation is that navigation accuracy is not high due to the slow update of the measurements. In order to improve the accuracy of pulsar navigation, an asynchronous observation model which can improve the update rate of the measurements is proposed on the basis of satellite constellation which has a broad space for development because of its visibility and reliability. The simulation results show that the asynchronous observation model improves the positioning accuracy by 31.48% and velocity accuracy by 24.75% than that of the synchronous observation model. With the new Doppler effects compensation method in the asynchronous observation model proposed in this paper, the positioning accuracy is improved by 32.27%, and the velocity accuracy is improved by 34.07% than that of the traditional method. The simulation results show that without considering the clock error will result in a filtering divergence.     

Solar and Heliospheric Modulation of Galactic Cosmic Rays

The significance of external influences on the environment of Earth and its atmosphere has become evident during recent years. Especially, on time scales of several hundred years, the cosmogenic isotope concentration during the Wolf-, Spoerer-, Maunder- and Dalton-Minimum indicates an increased cosmic ray flux. Because these grand minima of solar activity coincide with cold periods, a correlation of the Earth climate with the cosmic ray intensities is plausible. Any quantitative study of the effects of energetic particles on the atmosphere and environment of the Earth must address their transport to Earth and their interactions with the Earth’s atmosphere including their filtering by the terrestrial magnetosphere. The first problem is one of the fundamental problems in modern cosmic ray astrophysics, and corresponding studies began in the 1960s based on Parker’s cosmic ray modulation theory taking into account diffusion, convection, adiabatic deceleration, and (later) the drift of energetic particles in the global heliospheric magnetic field. It is well established that all of these processes determining the modulation of cosmic rays are depending on parameters that are varying with the solar magnetic cycle. Therefore, the galactic cosmic ray intensities close to Earth is the result of a complex modulation of the interstellar galactic spectrum within the heliosphere. The modern view of this cosmic ray modulation is summarized in our contribution.     

等质量异形粒子超高速撞击侵蚀

用数值方法模拟双锥，圆柱，椭球、圆锥和倒圆锥五类等质量异形铝粒子五种高宽比共２５种粒子对半无限铝靶的超高速撞击侵蚀，撞击速度为４ｋｍ／ｓ，给出了坑深、坑径、坑形参数和坑体积随粒子形状及高宽比的变化曲线。结果与非圆球异形粒子超高速撞击侵蚀计算有重要参考价值。     

空间能量粒子探测方法研究

阐述了空间能量粒子探测的原理和方法。介绍了国外在能量粒子探测方面所采用的半导体望远镜测量法、电场加速法、磁偏转法等方法，分析了它们各自的优缺点。就制约能量粒子探测技术发展的关键因素进行了讨论。并以此为基础，结合我国实际情况提出了一种新的探测方法。     

煤粉粒径分布在气固两相流场中的测试技术研究

针对输送管道内煤粉颗粒的粒径分布宽的特点，用侧向接收散射光的Mie散射方法和Fraunhofer衍射方法作了理论分析和实际测试。利用分子筛和显微镜对被测粒子进行了静态测量，其结果可以作为相对准确的测量标准。研究结果表明，针对细粉分离器内煤粉颗粒的形状、浓度和粒径的分布规律，用衍射测试方法可以达到较高的测试精度，取得较好的测试效果。     

磁粉检验标准环形试块的机理分析

为了分析控制磁粉检验系统综合性能的标准环形试块的机理，首先建立一个计算漏磁场的简化数学模型，然后解标量磁位的=维拉普拉斯方程，求出被磁化的环形试块上圆孔产生的漏磁场，计算环形试块表面的磁粉受力，分析其特点并得出相应的结论。     

二维通道内湍流边界层分离的实验研究

用激光多普勒技术测量了二维扩压器中不可压湍流边界层分离流动，得到了时均速度和雷诺剪应力分布。实验结果分析表明：以Ｃｏｌｅｓ速度律发展的Ｂａｒｄｉｎａ速度分布可以描述瞬时间歇分离点以前和瞬时间歇再附点以后的时均速度分布，但无法描述分离区的边界层速度型。Ｃｒｏｓｓ速度分布可描述分离区的边界层速度分布。Ｃｅｂｅｃｉ＆Ｓｍｉｔｈ涡粘性代数模型难以正确地描述分离边界层的雷诺剪应力。     

星载合成孔径雷达回波多普勒频率的计算

从星载合成孔径雷达（ＳＡＲ）与目标的相对运动关系出发，以ＳＡＲ发射信号的波长、卫星的轨道参数和目标的位置（地心经纬度）为已知条件，导出了计算目标回小以的多普勒频率的解析公式，这对于星载ＳＡＲ系统的性能 初步设计具有重要作用。     

Efficacy of Doppler ultrasound [correction of utrasound] for screening symptoms of decompression sickness during simulated extravehicular activities

Doppler ultrasound is frequently used for monitoring circulating microbubbles during decompression to assess the symptoms of Decompression Sickness (DCS). This analysis was carried out to evaluate its effectiveness for screening symptoms of DCS during simulated extravehicular activities (EVA). The information from various hypobaric chamber studies carried out at the NASA Johnson Space Center, Houston, TX was used in this analysis (n = 516). The circulating microbubbles were detected in the precordial area in 42% (218/516), and symptoms were reported in 16% (81/516) of these exposures. The accuracy of Doppler-detectable bubbles (Spencer grades) on all symptoms of DCS was examined by calculating measures of sensitivity and specificity. The efficacy of Doppler as a screening device was examined by calculating their positive predictive value (PPV) and negative predictive value (NPV). The results of these analyses indicated that the sensitivity of Doppler decreased, and the PPV increased with higher Spencer grades. However, the likelihood of detecting true negative cases (NPV) was consistently higher with all bubble grades. Due to the high false-positive rate and low prior probabilities of the risk of DCS, Doppler was found to be more useful to identify those who did not develop DCS, than to detect positive cases of DCS in the simulated EVA exposures.