The challenges in long-term altimetry calibration for addressing the problem of global sea level change

Long-term change of the global sea level resulting from climate change has become an issue of great societal interest. The advent of the technology of satellite altimetry has modernized the study of sea level on both global and regional scales. In combination with in situ observations of the ocean density and space observations of Earth’s gravity variations, satellite altimetry has become an essential component of a global observing system for monitoring and understanding sea level change. The challenge of making sea level measurements with sufficient accuracy to discern long-term trends and allow the patterns of natural variability to be distinguished from those linked to anthropogenic forcing rests largely on the long-term efforts of altimeter calibration and validation. The issues of long-term calibration for the various components of the altimeter measurement system are reviewed in the paper. The topics include radar altimetry, the effects of tropospheric water vapor, orbit determination, gravity field, tide gauges, and the terrestrial reference frame. The necessity for maintaining a complete calibration effort and the challenges of sustaining it into the future are discussed.     

Coastal sea level measurements using a single geodetic GPS receiver

This paper presents a method to derive local sea level variations using data from a single geodetic-quality Global Navigation Satellite System (GNSS) receiver using GPS (Global Positioning System) signals. This method is based on multipath theory for specular reflections and the use of Signal-to-Noise Ratio (SNR) data. The technique could be valuable for altimeter calibration and validation. Data from two test sites, a dedicated GPS tide gauge at the Onsala Space Observatory (OSO) in Sweden and the Friday Harbor GPS site of the EarthScope Plate Boundary Observatory (PBO) in USA, are analyzed. The sea level results are compared to independently observed sea level data from nearby and in situ tide gauges. For OSO, the Root-Mean-Square (RMS) agreement is better than 5 cm, while it is in the order of 10 cm for Friday Harbor. The correlation coefficients are better than 0.97 for both sites. For OSO, the SNR-based results are also compared with results from a geodetic analysis of GPS data of a two receivers/antennae tide gauge installation. The SNR-based analysis results in a slightly worse RMS agreement with respect to the independent tide gauge data than the geodetic analysis (4.8 cm and 4.0 cm, respectively). However, it provides results even for rough sea surface conditions when the two receivers/antennae installation no longer records the necessary data for a geodetic analysis.     

某型飞机水平加速性能试飞换算结果及误差分析

从最基本的质心运动方程出发，通过飞机运动基本假设，运用相似原理和微分修正量法，推导出飞机水平加速性能向定高度换算的公式。结合某型飞机的试飞给出换算结果实例，并与以前换算方法得到的结果进行比较，说明此换算方法原理正确，可以为飞机性能研究人员提供参考。     

航空广告语篇的语用分析

用个案研究的方法，从词汇和语篇结构两个层次对航空广告语篇进行了语用分析，揭示了语篇背后语言使用者在语言使用过程中的交际目的，以及这些目的对于构建语篇的影响，说明任何语言的使用过程都是一个动态的过程。     

Large geomagnetic storms of extreme solar event periods in solar cycle 23

During extreme solar events such as big flares or/and energetic coronal mass ejections (CMEs) high energy particles are accelerated by the shocks formed in front of fast interplanetary coronal mass ejections (ICMEs). The ICMEs (and their sheaths) also give rise to large geomagnetic storms which have significant effects on the Earth’s environment and human life. Around 14 solar cosmic ray ground level enhancement (GLE) events in solar cycle 23 we examined the cosmic ray variation, solar wind speed, ions density, interplanetary magnetic field, and geomagnetic disturbance storm time index (D_st). We found that all but one of GLEs are always followed by a geomagnetic storm with D_st  −50 nT within 1–5 days later. Most(10/14) geomagnetic storms have D_st index  −100  nT therefore generally belong to strong geomagnetic storms. This suggests that GLE event prediction of geomagnetic storms is 93% for moderate storms and 71% for large storms when geomagnetic storms preceded by GLEs. All D_st depressions are associated with cosmic ray decreases which occur nearly simultaneously with geomagnetic storms. We also investigated the interplanetary plasma features. Most geomagnetic storm correspond significant periods of southward B_z and in close to 80% of the cases that the B_z was first northward then turning southward after storm sudden commencement (SSC). Plasma flow speed, ion number density and interplanetary plasma temperature near 1 AU also have a peak at interplanetary shock arrival. Solar cause and energetic particle signatures of large geomagnetic storms and a possible prediction scheme are discussed.     

产业集中度与产业盈利水平关系的研究

基于经济学演化范式的观点和产业的复杂适应系统特征，构建了以目标产业为核心的产业供求关系网络分析框架。在回顾以往产业集中度与利润率关系的研究成果的基础上，利用国内消费类产业集中度与毛利率的相关系数分析，对以往研究结论做了进一步印证。在此基础上，基于对产业供求关系网络的认识，提出将产业集中度与产业盈利水平关系的研究，从目标产业本身扩展到与其密切相关的上下游产业，深入分析产业间集中度差异对产业盈利水平产生的影响。     

谈当代大学生的心理困惑

从社会问题、学习、人际交流、情感四个方面分析了目前在技大学生心理矛盾和困惑的表现及原因。     

政府层级改革:逻辑起点与改革思路

政府层级改革是一个系统工程,不仅涉及行政体制改革而且牵动财政体制改革。只有在进行改革之前找到政府层级改革的根本原因（逻辑起点）,才能保证这一系统工程沿着正确的道路推进。文章从公共产品供给的角度出发,认为政府层级改革的逻辑起点在于供给公共产品,实现公共产品有效供给的政府分级才是合理的政府分级,并针对我国政府分级供给公共产品产生的问题,提出了减少政府层级,扩大下级政府的财政“发言权”,明确界定各级政府的事权和财权,完善转移支付制度等政策建议。     

A new online modelling method for aircraft engine state space model

To overcome the drawbacks of current modelling method for aircraft engine state space model, a new method is introduced. The form of state space model is derived by using Talyor series to expand the nonlinear model that is implicit equations and involves many iterations. A partial derivative calculation method for iterations is developed to handle the influence of iterations on parameters. The derivative calculation and the aerothermodynamics calculations are combined in the component level model with fixed number Newton-Raphson (N-R) iterations. Mathematical derivation and simulations show the convergence ability of proposed method. Simulations show that comparing with the linear parameter varying model and centered difference based state space model, much higher accuracy of proposed online modelling method is achieved. The accuracy of the state space model built by proposed method can be maintained when the step amplitudes of inputs are within 2%, and the responses of the state space model can match those of the component level model when each input steps larger amplitudes. In addition, an online verification was carried out to show the capability of modelling at any operating point and that state space model can predict future outputs accurately. Thus, the effectiveness of the proposed method is demonstrated.     

三层三级民机修理级别经济性分析模型的改进

现代民机产品普遍采用模块化设计，具有多层次特点，相应的维修场所也表现为多个维修级别。现有修理级别分析（LORA）模型在移级维修和报废时，可能存在父单元与其内部封装子单元成本重复累加的问题。引入跟随行为矩阵，对子单元中因父单元层级约束而做出的决策进行标记，能有效地避免父单元与子单元成本被重复计算。在此基础上，考虑实际维修活动中无故障发现事件（NFF）、二次维修等人为因素对LORA决策的影响，建立适用于民机的修理级别分析模型，较已有模型更加真实地反映决策的预计成本，提高了决策的可信度和工程适用性。最后使用混合惩罚函数法将原问题转化为等价的无约束优化问题，采用改进的二进制粒子群算法（BPSO）对多故障模式下的三层三级案例进行仿真优化，验证了该经济性分析模型的合理性和求解算法的有效性。