低太阳吸收率加成型有机硅热控涂层的研制

为了制备低αs/εh值热控涂层，必须选择合适的粘料。系统研究了组成对加成型热控涂层性能的影响，探讨了颜料与粘粒配比、含氢硅油种类、乙烯基硅橡胶种类、Si－H与CH＝CH配比、涂布方式等对热控涂层太阳吸收率（αs）、红外辐射率（εh）及αs/εh影响规律。     

高层大气臭氧对于太阳紫外辐射27天波动的响应

本文利用Ｓｏｌａｒ Ｍｅｓｏｓｐｈｅｒｅ Ｅｘｐｌｏｒｅｒ（ＳＭＥ）卫星１９８２年和１９８３年太阳紫外辐射和赤道地区５０－９０ｋｍ臭氧分布的红外观测资料，对臭氧地太阳紫外辐射２７天振荡的响应进行了研究，并且利用大气光化波动模式对其进行了理论计算，计算结果与实测结果基本一致。     

空间站大型伸展机构动力学研究中的若干问题

由于空间站大型伸展机构运动中的时变性，其拓扑构形和系统的自由度都是变化着的，因而问题较定常构形动力学问题复杂得多。文章对航天伸展机构进行分类，并研究所组成的各类运行副，约束特点和约束方程及轨道、姿态、伸展运动的几何和运动描述；考虑柔性结构效应及热变形的动力学分析模型；还对连接间隙、摩擦、限位内碰撞、预应力、重力场及空气阻力的干扰进行分析；最后讨论了试验研究结论。     

某载人试验舱环境控制系统加湿器的研制

介绍了一种用于环境模拟试验系统的加湿器，并详细描述了其工作原理和设备能力的确定方法。该加湿器可用于压力环境下湿度的精确控制。     

太阳高能电子束通过空间振荡轴向场产生的电磁不稳定性

本文基于太阳高能电子和日冕区开放场及行星际磁场特征，建立了相对论电子束与伴有空间变化（空间周期变化）的轴向场相互作用模型，用数值方法研究了该体系产生的电磁不稳定性，结果指出只有当太阳高能电子束速度和空间振荡场波数大到一定程度时，该体系才可激发在旋电磁模不稳定性，当太阳高能电子束逐一通过日冕和行星际空间时，激发具有波频向低频漂移特征的电磁波．     

Prediction tests by using “ISF” method for the geomagnetic disturbances

A so-called “ISF” prediction method for geomagnetic disturbances caused by solar wind storms blowing to the Earth is suggested. The method is based on a combined approach of solar activity, interplanetary scintillation (I) and geomagnetic disturbance observations during the period 1966–1982 together with the dynamics of solar wind storm propagation (S) and fuzzy mathematics (F). It has been used for prediction tests for 37 geomagnetic disturbance events during the descending solar activity phase 1984–1985, and was presented in 33rd COSPAR conference. Here, it has been improved by consideration of the three dimensional propagation characteristics of each event, the search for the best radio source and the influence of the southward components of interplanetary magnetic fields on the geomagnetic disturbances. It is used for prediction tests for 24 larger geomagnetic disturbance events that produced space anomalies during the period 1980–1999. The main results are: (1) for the onset time of the geomagnetic disturbance, the relative error between the observation, T_obs, and the prediction, T_pred, ΔT_pred/T_obs  10% for 45.8% of all events, 30% for 78.3% and >30% for only 21.7%; (2) for the magnetic disturbance magnitude, the relative error between the observation, ∑K_p,obs, and the prediction, ∑K_p,pred, Δ∑K_p,pred/∑K_p,obs  10% for 41.6% of all events, 30% for 79% and 45% for 100%. This shows that the prediction method described here has encouraging prospects for improving predictions of large geomagnetic disturbances in space weather events.     

The energy release of substorm and magnetic storm: Its present state and future improvements by KuaFu mission

Considering the KuaFu mission, state of the energy release of substorm and storm is simply presented and it’s improvements by KuaFu mission are investigated. The KuaFu mission will provide us an opportunity to improve our understanding of the energy release during the storm and the substorms. The two KuaFu-B satellites flying in 180° phase-lagged formation in a polar orbit will allow synoptic observations of the auroral oval, central plasma sheet, ring current and other regions. It can monitor the polar region 24/7 continuously. The advantage of the KuaFu mission is to provide the data during all phases of storm and substorm time that can be used to study the global energy release during all phases continuously. The data from auroral imager and other in-situ instruments on board KuaFu-B can be used to study the auroral dynamics and Joule heating during a storm and substorm. The data from the neutral atom imager instrument can be used to study the dynamics and the energy release in the ring current region from sudden commencement to complete storm recovery. Furthermore the data from KuaFu-A, which is around L1 point, can be used to study the interplanetary conditions along with the data from the plasma sheet to study the triggering process and energy release during a substorm. So, KuaFu mission with its continuous time monitoring facilities would enable us to make much progress towards solving the underlying problems.     

Heavy ion observations by MARIE in cruise phase and Mars orbit

The charged particle spectrum for nuclei from protons to neon, (charge Z=10) was observed during the cruise phase and orbit around Mars by the MARIE charged particle spectrometer on the Odyssey spacecraft. The cruise data were taken between April 23, 2001 and mid-August 2001. The Mars orbit data were taken March 5, 2002 through May 2002 and are scheduled to continue until August 2004. Charge peaks are clearly separated for charges up to Z=10. Especially prominent are the carbon and oxygen peaks, with boron and nitrogen also clearly visible. Although heavy ions are much less abundant than protons in the cosmic ray environment, it is important to determine their abundances because their ionization energy losses (proportional to Z²) are far more dangerous to humans and to instruments. Thus the higher charged nuclei make a significant contribution to dose and dose equivalent received in space. Results of the charged particle spectrum measurements will be reported.     

High accuracy satellite drag model (HASDM)

The dominant error source in force models used to predict low-perigee satellite trajectories is atmospheric drag. Errors in operational thermospheric density models cause significant errors in predicted satellite positions, since these models do not account for dynamic changes in atmospheric drag for orbit predictions. The Air Force Space Battlelab’s High Accuracy Satellite Drag Model (HASDM) estimates and predicts (out three days) a dynamically varying global density field. HASDM includes the Dynamic Calibration Atmosphere (DCA) algorithm that solves for the phases and amplitudes of the diurnal and semidiurnal variations of thermospheric density near real-time from the observed drag effects on a set of Low Earth Orbit (LEO) calibration satellites. The density correction is expressed as a function of latitude, local solar time and altitude. In HASDM, a time series prediction filter relates the extreme ultraviolet (EUV) energy index E_10.7 and the geomagnetic storm index a_p, to the DCA density correction parameters. The E_10.7 index is generated by the SOLAR2000 model, the first full spectrum model of solar irradiance. The estimated and predicted density fields will be used operationally to significantly improve the accuracy of predicted trajectories for all low-perigee satellites.