地球等离子体层研究进展

地球等离子体层作为内磁层的重要组成部分,在空间天气过程的发生和发展过程中都起着非常重要的作用.地球等离子体层是由上行电离层粒子被地球磁力线捕获而形成的圆环状冷的等离子体区域.等离子体层的外边界称为等离子体层顶,在该区域的等离子体层密度在0.5个地球半径内下降了1～2个数量级.地球等离子体层结构的动态变化特征是空间环境扰动状态的指示器,其结构形态和动力学过程受地磁场和电场控制,而地磁场短期变化源于太阳活动引起的日地扰动.地磁暴期间等离子体层的大规模结构演化影响等离子体层中波的产生和传播,从而影响波-粒子相互作用,导致内磁层中电子和离子的空间分布发生变化,进而影响其它磁层和电离层过程.对地球等离子体层进行进一步研究,对揭示太阳风-磁层-电离层耦合过程中的质量输运和能量转移、空间天气预报等方面都具有重要的意义.本文对等离子体层和地磁活动的关系、等离子体层中的波、顶部电离层及等离子体层电子含量的变化规律和等离子体层模型等方面的研究进展进行了介绍.最后,我们还对等离子体层研究方面一些亟待解决的问题进行了展望.     

利用IMAGE卫星观测数据重建地球等离子体层的磁赤道面分布

美国利用IMAGE卫星的极紫外辐射（EUV）探测器对地球等离子体层进行了连续5年的遥感成像观测。由于IMAGE卫星数据是沿观测路径上的积分投影数据,并且存在地球“遮挡”、“阴影”、“数据缺失”等问题,无法直接利用传统的CT方法对等离子体层进行三维重建。本文利用地球磁场模型,基于地球等离子体层的物理性质,建立一个联系地球磁赤道面密度与投影数据的EUV成像模型,实现了从单个角度的EUV观测图像进行地球等离子层三维重构的方法。      

地球等离子体层嘶声的内部源区

地球等离子体层是向阳侧中低纬度电离层沿着闭合磁力线向上的自然延伸,其中所出现的一类频率覆盖数十赫兹至数千赫兹的哨声模波动称为等离子体层嘶声.自发现以来,等离子体层嘶声就被广泛认为是沉降损失辐射带高能电子的主要等离子体波动之一.但是,等离子体层嘶声的起源一直没有定论.潜在的来源分成两类:一类为等离子体层内部背景等离子体噪...     

遗传算法反演地球等离子体层离子密度分布

本文介绍了采用一维遗传算法从地球等离子体层极紫外图像反演地球等离子体层He⁺密度的原理.首先采用通量管近似和磁偶极近似将三维问题转化为一维问题.通过引入权矩阵,将极紫外光强积分离散为求和函数,再采用一维实数编码遗传算法反演得到磁赤道面等离子体层He⁺密度,最后通过磁力线追迹得到三维密度分布.算法采用动态全球核心等离子体模式模拟的密度和光强分布作为初始输入参数,并通过遗传算法得到相应密度分布.反演结果表明,等离子体层密度相对误差在8%以内,光强相对误差趋于0,算法有效可行.本文研究为中国探月二期工程中月基极紫外图像反演奠定了基础.     

利用计算机断层成像方法由观测图像重建等离子体层全球密度分布——地球遮挡问题

本文是利用计算机断层成像(CT)方法中的滤波反投影法(FBP)和代数迭代法(ART),根据等离子体层的仿真模型,重建其全球密度分布.在重建过程中,地球遮挡是一个很重要的问题.计算结果表明两种方法都可以使用,但ART比FBP重建的效果好.ART重建图像的相关系数可达0.98,而FBP重建图像的相关系数仅为0.86.FBP重建的偏差是由地球遮挡引起,向阳面靠近地球区域的密度会减小.从定量分析中可以进一步看出地球遮挡所引起的偏差变化.     

等离子体片离子分界线的模拟研究

等离子体片离子向内磁层的渗透在亚暴和磁暴过程中都起到了重要作用.以往对于等离子体片离子向内磁层的渗透都是通过固定磁矩的磁层离子漂移轨道理论来进行的.本文将过去的(U,B)空间中固定磁矩的磁层离子漂移轨道理论扩展为固定能量的磁层离子漂移轨道理论,讨论了等离子体片质子在向地球输运过程中,不同能量的质子开放轨道和封闭轨道的分界线的特性,及其随Kp指数的变化.在高能端,随着能量的升高,等离子体片质子分界线地心距离逐渐增大,且分界线的晨侧地心距离远远大于昏侧的地心距离.在低能端,随着质子能量的降低,质子分界线地心距离逐渐增大,且其分界线的昏侧地心距离要大于晨侧的地心距离.模拟结果还显示随着Kp指数的增强,等离子体片中不同能量的质子分界线都向地球移动.但在低能端和高能端,质子分界线的行为是不一样的.在低能端,随着Kp指数的增大,质子内边界形状基本保持不变.但在高能端,随着Kp指数的增大,质子内边界形状也将发生变化.在E=20 keV,Kp=6和E=10 keV,Kp=3两种情况,质子分界线甚至出现了两个分离的区域,一个是环绕地球的封闭轨道区域,一个是晨侧孤立的锥型区域.等离子体片能量为E的质子的内边界就是具有不同磁矩的Alfven层上能量为E的点的连线.TC-1热离子谱仪对等离子体片离子内边界的观测显示模拟结果与观测结果符合得很好.     

磁宁静期核心等离子体层电子密度分布的统计研究

等离子体层已有数十年研究历史,但对其核心等离子体区域却一直没有一个相对准确的界限和模型定义.基于范阿伦辐射带卫星RBSP-A在2012年9月18日至2014年10月13日约两年的观测,我们统计研究了磁宁静期间核心等离子体层电子密度随磁地方时(MLT)及磁壳指数(L-value)的分布特征.发现了核心等离子体层电子密度在不同MLT条件下随L值的变化趋势几乎一致,但与以前的等离子体层经验模式计算的电子密度存在较大的偏差.在不同L值下电子密度随MLT的变化趋势也相差不大,而且随MLT存在明显的逐日和半日变化.最后我们获得了等离子体层电子密度随L值和MLT变化的经验公式.研究结果对空间等离子体层建模及研究具有重要的意义.     

地球磁尾等离子体片磁洞的统计分析

本文利用THEMIS卫星的磁场数据和等离子体观测数据,统计分析地球磁尾等离子体片区域线性磁洞的发生率、时空尺度、分布特征、和发生率与地磁AE指数的相关性.分析结果表明磁尾等离子体片区域的磁洞的时间尺度为几秒到几十秒,空间尺度小于当地的质子回旋半径.通过磁洞在空间的位置分布和卫星数据在空间的数据采样分布的对比,我们发现线性磁洞在等离子体片内经常发生,然而在磁尾等离子体片中的发生率要小于太阳风中磁洞的发生率.本文最后统计分析了磁洞发生和AE指数的相关性,结果表明磁洞可能与地磁活动有关系.     

利用EUV模拟观测和CT方法重建均匀等离子体层全球密度分布——三维ART重建和地球遮挡效应研究

本文对地球等离子体层和电离层进行了三维建模,并模拟卫星对30.4 nm极紫外线的探测过程,取得圆轨道平行束情况下的投影数据.采用改进的ART算法对所得数据进行三维重建,获得等离子体层的空间密度分布.结果表明,在投影角度覆盖180°的情况下,重建结果很好地再现了模型中空间各点的数值.文章对实验结果从CT重建方法的角度进行...     

利用计算机断层成像方法由观测图像重建等离子体层全球密度分布——投影数据不完备问题

在用计算机断层成像方法由EUV观测图像重建等离子体层全球密度分布时,地球的遮挡和有限角度都会导致投影数据不完备,从而无法精确重建出等离子体层的密度分布.本文针对该问题,提出一种基于图像总变差极小化的代数迭代算法.通过重建等离子体层投影数据缺失最为严重的中心子午面,证明该算法能够显著提高重建图像的质量. 并且在IMAGE卫星仅能达到90°的有限投影角度下,此算法重建图像的相关系数可达0.760,而代数迭代算法的相关系数仅为0.696.     

Assimilating altimetric data to control the tropical instability waves: an observing system simulation experiment study

Tropical instability waves (TIWs) are not easily simulated by ocean circulation models primarily because such waves are very sensitive to wind forcing. In this study, we investigate the impact of assimilating sea surface height (SSH) observations on the control of TIWs in an observing system simulation experiment (OSSE) context based on a regional model configuration of the tropical Atlantic. A Kalman filtering method with suitable adaptations is found to be successful when altimetric data are assimilated in conjunction with sea surface temperature and some in situ temperature/salinity profiles. In this rather realistic system, the TIW phase is roughly controlled with a single nadir observing satellite. However, a right correction of the TIW structure and amplitude requires at least two nadir observing satellites or a wide swath observing satellite. The significant impact of orbital parameters is also demonstrated: in particular, the Jason or GFO satellite orbits are found to be more suitable than the ENVISAT orbit. More generally, it is found that as soon as adequate sub-sampling exists (with periods of 5–10?days), the length of the repetitivity cycle of orbits does not have a significant impact.     

Volcanism on Io: the view from Galileo

Io, Jupiter's innermost Galilean satellite, is the most volcanically active body in the solar system. Ashley Gerard Davies reviews the wealth of data returned by NASA's veteran spacecraft Galileo, that has led to a better understanding of the volcanic processes wracking Io.
Jupiter's moon Io is the only other body in the solar system known to have active, high-temperature volcanism like that found on Earth. The Galileo spacecraft has been observing Io regularly since June 1996, and the data that it has returned have led to many new insights into the volcanic processes that have shaped not only Io, but Earth in its distant past.     

下一代地球物理观测技术

地球物理观测技术所要解决的问题是观测什么、用什么来观测、怎样观测。下一代地球物理观测技术的发展是以解决上述问题为基础。论文详细论述了观测设备、观测系统以及地球外行星体结构探测等发展动态,并对下一代地球物理观测技术的发展方向进行了分析。     

利用不同倾斜仪和应变仪检测地球自由振荡的对比与分析

中国地震局地壳形变观测台网布设有垂直摆倾斜仪、钻孔倾斜仪、洞体应变仪、分量式钻孔应变仪与体应变仪等地形变观测仪器。这些观测仪器均记录到了2011年日本M_W9.0大地震激发的自由振荡信号。本文分别利用单台数据和多台数据叠积,检测到_0S_3~_0S_(30)全部的球型自由振荡基频振型和_0T_3~_0T_(20)全部的环型自由振荡基频振型及部分谐频振型。此外,通过对这些检测结果的对比,分析了它们对不同自由振荡类型、不同频段的振型检测能力。分析发现垂直摆倾斜仪对球型自由振荡的检测结果最佳,且由于在低频段有较高的噪声干扰,钻孔倾斜仪无法检测到低阶的球型自由振荡。对于环型自由振荡的检测,分量式钻孔应变仪检测结果最佳。     

Predicting global landslide spatiotemporal distribution： Integrating landslide susceptibility zoning techniques and real-time satellite rainfall estimates

Landslides triggered by rainfall can possibly be foreseen in real time by jointly using rainfall intensity-duration thresholds and information related to land surface susceptibility. However, no system exists at either a national or a global scale to monitor or detect rainfall conditions that may trigger landslides due to the lack of sufficient ground-based observing network in many parts of the world. Recent advances in satellite remote sensing technology and increasing availability of high-resolution geospatial products around the globe have provided an unprecedented opportunity for such a study. In this paper, a framework for developing a preliminary real-time prediction system to identify where rainfall-triggered landslides will occur is proposed by combining two necessary components： surface landslide susceptibility and a real-time space-based rainfall analysis system （http：//trmm.gsfc.nasa.gov）. First, a global landslide susceptibility map is derived from a combination of semi-static global surface characteristics （digital elevation topography, slope, soil types, soil texture, land cover classification, etc.） using a GIS weighted linear combination approach. Second, an adjusted empirical relationship between rainfall intensity-duration and landslide occurrence is used to assess landslide hazards at areas with high susceptibility. A major outcome of this work is the availability for the first time of a global assessment of landslide hazards, which is only possible because of the utilization of global satellite remote sensing products. This preliminary system can be updated continuously using the new satellite remote sensing products. This proposed system, if pursued through wide interdisciplinary efforts as recommended herein, bears the promise to grow many local landslide hazard analyses into a global decision-making support system for landslide disaster preparedness and mitigation activities across the world.     

Observational Constraints on Cloud Feedbacks: The Role of Active Satellite Sensors

Cloud profiling from active lidar and radar in the A-train satellite constellation has significantly advanced our understanding of clouds and their role in the climate system. Nevertheless, the response of clouds to a warming climate remains one of the largest uncertainties in predicting climate change and for the development of adaptions to change. Both observation of long-term changes and observational constraints on the processes responsible for those changes are necessary. We review recent progress in our understanding of the cloud feedback problem. Capabilities and advantages of active sensors for observing clouds are discussed, along with the importance of active sensors for deriving constraints on cloud feedbacks as an essential component of a global climate observing system.     

Impact of Monex-79 data on the objective analysis of the wind field over the Indian region

The monsoon sub-programme of FGGE deployed a variety of observing systems such as research aircraft, research vessels, floating ballooms, and a geostationary satellite, etc. during the special observational period of Monex-79, with a view to making the best possible data set available for studies on various aspects of the monsoon circulation. Whether the data obtained from the various observational platorms improve the representation of the monsson systems, flow patterns, etc. in the analysis is the basis of this study. For this, the objective analyses of the wind field were made with different data sets, first using only the data from conventional observation platforms, subsequently including the data from aircraft and ships and then finally including the data from the satellite. These analyses were compared with carefully made subjective analyses.It is inferred that the addition of data has a positive impact on the objective analysis and the improvement in the analysis is more marked in the data-void region like the Arabian Sea compared to the region where observational stations are distributed fairly stisfactorily. It is also inferred that the impact of the aircraft/ship data on the analysis is more consistent than the data from the satellite.     

The usability of the undifferenced positioning techniques in establishing regional geodetic control networks: a case study in Poland

Recently undifferenced Precise Point Positioning (PPP) technique has become a subject of interest not only among researchers, but also satellite positioning practitioners like surveyors and engineers. Along with the development of precise clocks and orbits products, and the improvement of models mitigating interfering phenomena like atmospheric refraction, PPP has become an alternative to relative positioning in many field applications. This study concerns the usability of Undifferenced Positioning techniques in establishing geodetic control networks. Satellite observations from 13 stations equipped with high-end receivers and survey grade commercial receivers were processed using the NAvigation Package for Earth Observation Satellites -NAPEOS v. 3.3.1. In the study the standard PPP (float) and Undifferenced Network solution with clocks/orbits fixed strategies of post-processing were carried out using various observing intervals (30 min., 1 h, 2 h, 4 h, daily). The high accuracy results obtained with PPP and UD Network solution predisposes these strategies for the use in surveying tasks requiring even centimeter positioning accuracy.     

II. Snow hydrology processes and remote sensing

In the last 20 years remote sensing research has led to significant progress in monitoring and measuring certain snow hydrology processes. Snow distribution in a drainage basin can be adequately assessed by visible sensors. Although there are still some interpretation problems, the NOAA-AVHRR sensor can provide frequent views of the areal snow cover in a basin, and snow cover maps are produced operationally by the National Weather Service on about 3000 drainage basins in North America. Measurement of snow accumulation or snow water equivalent with microwave remote sensing has great potential because of the capabilities for depth penetration, all-weather observation and night-time viewing. Several critical areas of research remain, namely, the acquisition of snow grain size information for input to microwave models and improvement in passive microwave resolution from space. Methods that combine both airborne gamma ray and visible satellite remote sensing of the snowpack with field measurements also hold promise for determining areal snow water equivalent. Some remote sensing techniques can also be used to detect different stages of snow metamorphism. Various aspects of snowpack ripening can be detected using microwave and thermal infra-red capabilities. The capabilities for measurement of snow albedo and surface temperature have direct application in both snow metamorphism and snowpack energy balance studies. The potentially most profitable research area here is the study of the bidirectional reflectance distribution function to improve snow albedo measurements. Most of the remote sensing capabilities in snow hydrology have been developed for improving snowmelt-run-off forecasting. Most applications have used the input of snow cover extent to deterministic models, both of the degree day and energy balance types. Snowmelt-run-off forecasts using satellite derived snow cover depletion curves and the models have been successfully made. As the extraction of additional snow cover characteristics becomes possible, remote sensing will have an even greater impact on snow hydrology. Important remote sensing capabilities will become available in the next 20 years through space platform observing systems that will improve our capability to observe the snowpack on an operational basis.     

Reducing the Uncertainties in Direct Aerosol Radiative Forcing

Direct aerosol radiative forcing (DARF) remains a leading contributor to climate prediction uncertainty. To monitor the spatially and temporally varying global atmospheric aerosol load, satellite remote sensing is required. Despite major advances in observing aerosol amount, type, and distribution from space, satellite data alone cannot provide enough quantitative detail, especially about aerosol microphysical properties, to effect the required improvement in estimates of DARF and the anthropogenic component of DARF. However, the combination of space-based and targeted suborbital measurements, when used to constrain climate models, represents an achievable next step likely to provide the needed advancement.