550～600 km高度上热层大气密度的中长期变化

选用了2005年8月20日至2006年7月28日高度550～600 km附近的热层大气密度探测数据,对表征太阳活动的F10.7值和表征地磁活动强度的Ap指数进行了相关特性的统计.分析结果表明,在无明显地磁扰动时热层大气密度日平均值的涨落呈现27日和准半年的周期性变化,但在地磁扰动期间这种变化的周期性会被削弱,且大气密度的周日变化幅度与F10.7值呈正相关关系.      

2007-2009谷年期间高热层大气密度的变化

在第23至第24太阳活动周的峰年之间,太阳活动谷年具有持续时间长,极低F_10.7太阳辐射通量（低至65）和超长期的零太阳黑子数记录等特点,因此是观测和研究在这种特殊背景下热层大气变化的极好机会.尤其是能充分理解和掌握在宁静环境下热层大气密度对弱太阳活动和小地磁扰动的响应特性.本文利用高度650 km以上星载大气密度探测器2007—2009年的连续探测数据进行分析,结果表明,在太阳辐射通量F_10.7极低值期间,较高热层大气密度对F_10.7的起伏具有更显著的响应变化.当F_10.7由70降至65时,日均大气密度会有4～5倍的显著降变,远大于通常大气模式中的降变值.同样在F_10.7极低值期间,较高热层大气密度对小地磁扰动也具有显著的响应增变,当日K_p指数之和由23增至30时,较高热层大气密度则会有80%～160%的强增变.     

基于CHAMP卫星观测数据对热层大气密度的经验正交分析

对2003年(太阳活动较高年)至2007年(太阳活动低年) CHAMP卫星的热层大气密度观测数据进行了经验正交函数(EOF)分析, 得到了400 km高度上白天平均大气密度ρ的太阳活动周变化与年度变化等不同变化分量. 研究结果表明, ρ受太阳活动影响较大, 其太阳周变化分量与F10.7指数变化之间的相关系数可高达94.5 %; ρ的太阳周变化分量随纬度增加而减小, 且在中高纬地区, 南半球的值明显大于北半球的值, 在低纬地区则出现基本对称的双峰分布, 即赤道质量密度异常(EMA)结构. 在ρ的年变化中, 呈现出明显的季节变化, 即夏季低冬季高; 同时ρ的年变化幅度随太阳活动增加而增强, 随纬度增加而增强. 将本文结果与经验模式NRLMSISE00在观测条件下的输出数据进行对比, 发现两者的太阳周变化与年变化分量基本一致, 但本文观测数据的太阳周成分随纬度变化略小, 年变化幅度略大, 且NRLMSISE00模式不能再现EMA结构. 研究结果对揭示热层气候学变化特征具有重要意义.      

"神舟3号"运行高度上大气密度的变化

"神舟3号"(SZ-3)大气密度探测器搭载在SZ-3留轨舱上于2002年3月发射入轨,在轨运行期间获得了轨道舱运行高度范围(330-410km)内的大气密度数据.数据分析表明,无明显太阳和地磁扰动时,热层大气密度的主要变化之一是日照和阴影区域之间的涨落变化,最大涨落变化比约为3.0,变化比与太阳和地磁活动程度有关.在2002-04-17和2002-04-19的强地磁扰动时,全球热层大气密度上涨,同时在磁扰峰期探测获得30°N-40°N区域出现密度扰动异常现象.对强地磁扰动在运行轨道高度上大气密度最大涨幅约为60%左右,响应过程在时间上要比地磁扰动过程滞后6-7h,日照和阴影区域中大气密度的响应变化程度明显不同.在太阳活动程度发生变化时,热层大气密度会呈现出明显的正相关变化关系.     

基于卫星加速度数据反演的热层大气密度与NRLMSISE-00模式结果的比较研究

利用CHAMP/STAR加速度数据反演的热层大气密度与NRLMSISE-00模式反演的热层大气密度进行比较, 结果表明, 热层大气密度在春秋季期间高于冬夏季, 并且太阳活动高年比低年更加显著; 日照面和阴影区大气密度的比值在低纬地区由太阳活动高年的4下降到太阳活动低年的2左右, 中纬地区大约由3变化到1.5, 高纬地区变化较小; NRLMSISE-00模式能够较好地模拟热层大气密度的变化趋势, 但是磁暴期间模式精度较差. 统计结果表明, 模式整体比反演结果偏高, 2002-2008年相对偏差分别为16.512%, 20.004%, 18.915%, 18.245%, 25.161%, 33.261%和41.980%; NRLMSISE-00模式在高纬地区的相对偏差为27.337%, 高于中低纬地区的24.047%; 模式在中等太阳活动水平相对偏差较为稳定, 基本在15%左右.      

神舟2号大气密度探测器的探测结果(Ⅰ)日照和阴影区域热层大气密度变化

选用了神舟2号（SZ-2）大气密度探测器在2001年2—4月间的探测数据,进行日照和阴影区域热层大气密度变化的探讨.结果表明:在高度410km附近,日照和阴影区域大气密度变幅为2—3倍,变幅的大小与地磁活动程度呈负相关关系.日照面大气密度峰区位于星下点地方时1400—1500LT的纬度处,峰值大小与太阳活动程度呈正相关关系.阴影面大气密度谷区位于星下点地方时0400-0500的纬度处,同时在±10°纬度区域中还出现了阴影面峰区.     

第23太阳活动周热层大气密度对太阳辐射指数F10.7响应的模拟研究

利用NCAR-TIEGCM计算了第23太阳活动周期间（1996—2008年）400km高度上的大气密度，并统计分析大气密度对太阳辐射指数FF_10.7的响应.结果表明，在第23太阳活动周内，大气密度的变化趋势与太阳辐射指数FF_10.7的变化趋势基本一致，但是大气密度在不同年份、不同月份对太阳辐射指数FF_10.7的响应存在差异.第23太阳活动周内太阳辐射极大值和极小值之比大于4，而大气密度的极大值与极小值之比则大于10.太阳辐射低年的年内大气密度变化不到2倍，而太阳辐射高年的年内大气密度变化可达2倍甚至3倍.大气密度与FF_10.7指数在北半球高纬的相关系数比南半球高纬的相关系数大.在低纬地区，太阳辐射高年大气密度与FF_10.7指数的相关系数比低年的大.不同纬度上，大气密度与太阳辐射指数FF_10.7的27天变化值之间的相关系数都大于其与81天变化值之间的相关系数.      

太阳活动对EUV辐射在大气中吸收过程的影响

本文利用A-E卫星在太阳活动21周峰年间观测到的EUV辐射资料,高层大气成分的吸收截面,以及MSIS-86热层大气模式,研究了EUV辐射在大气中的吸收过程;在透射比为1/e和0.1/100时分别计算了透射高度随波长及太阳活动的变化。在波长范围50—1050内对37个波段分别求出了透射高度随太阳天顶角的变化。结果表明,当太阳活动增强时各波段的透射高度均升高,而且透射比越大则透射高度随太阳活动的变化也越剧烈。当透射比为一定时,太阳天顶角越大则透射高度随太阳活动的变化也越大。除此之外还存在一个相反效应,即太阳活动会使Chapman函数变小,这反过来又促使透射高度降低。这两种效应的综合作用结果可较好地解释某些电离层观测中的日没效应。     

强磁暴、能量粒子暴与热层大气密度涨落之间的相关关系

利用1997-2007年由GOES8, GOES11和GOES12星载高能粒子探测器在地球同步轨道高度上所探测到的高能质子和高能电子通量探测数据以及高度560km左右星载大气密度探测器所得的热层大气密度探测数据, 统计分析了强地磁扰动、高能粒子通量跃变和热层大气密度涨落之间的相关关系, 初步获得强地磁扰动期间, 地球同步轨道(外辐射带外环)均出现了增幅大于三个数量级的高能质子通量(尤其是E>1MeV)强增强现象, 随后热 层大气密度强烈上涨, 表明三者之间是正相关关系. 在时间上地球同步轨道高能质子通量强增强现象先于日均Ap值(地磁活动程度)上涨约一天左右, 而热层大气密度强涨落现象又明显滞后于强地磁扰动事件.      

中国山西地区法布里-珀罗干涉仪测风能力及数据质量检验

介绍了中国气象局山西岢岚大气观测站(39°N, 112°E) 法 布里-珀罗干涉仪(FPI) 的基本 构造、测风能力、程序处理流程、数据质量控制方法以及检验情况. 岢 岚观测站FPI可以观测892.0 (OH)nm, 557.7 (OI)nm和630.0 (OI)nm 波 长处气辉谱线的多普勒移动, 分别计算对应87km, 97km和250km高度处 的大气风速和大气温度, 可给出中间层顶区域及热层风的大气潮汐和扰动 情况. 采用水平风模型(HWM)输出结果进行交叉检验, 对FPI测风数据质量进行验证. 结果显示, 岢岚大气观测站FPI仪器的测风数据 在长期趋势上与HWM模式的输出数据一致, 风速变化幅度有季节性差异, 数据质 量控制方法有效, 测风误差在87km高度处为5.7m·s-1, 97km处 为1.3m·s-1, 250km处为4.1m·s-1, 测风数据 通过了可靠性检验.      

Densities from the CACTUS accelerometer as an external test of the validity of the thermospheric models

Total density data were obtained from the accelerometer CACTUS on board of CASTOR-D5B 1975-39A. Numerous and precise data were obtained between 250km and 600km altitude in the equatorial region (±30° latitude) for a period extending from May 1975 (minimum of solar activity) to February 1979 (already important solar activity). Since CACTUS data have not yet been used for the construction of empirical thermospheric models, a significant part of the data file is compared with several thermospheric models in order to provide an external test of the reliability of such models. Standard deviations of the order of 20% are apparent. The most significant differences extend over a few weeks and cannot be represented by the geophysical indices as they are presently used in the empirical models. Such an experimental fact suggests that the mathematical and physical aspects of the empirical models should be refined in order to achieve a better representation of physical reality.     

Solar EUV and decimetric indices and thermospheric models

Data bases and limits of applicability of existing empirical thermospheric models are reviewed by using these models together with solar EUV irradiance data in studying the solar activity effect on composition, density and temperature. For two rather short aeronomy missions of the AEROS A and B satellites solar EUV indices as proposed by Schmidtke are used in comparison with the 10.7 cm solar flux F in determining the solar activity effect in in-situ composition measurements sampled by the same satellites at 250, 310 and 380 km altitude. No advantage of solar EUV indices over F could be determined.     

Intra-annual variations of the thermospheric density at 400 km altitude from 1996 to 2006

We investigate the intra-annual variations of globally averaged thermospheric density at 400 km altitude from 1996 to 2006 by using Artificial Neural Network Method (ANNM). The results indicate that thermospheric density is governed by solar activity, and the absolute error of our model is 13.67%, less than NRLMSISE-00 model. Fourier representation can catch the intra-annual variations more accurately than NRLMSISE-00 model and JB2008 model especially during 2002. We find that the Autumn maximum is slightly greater than Spring maximum during solar minimum, while the reverse is correct during solar maximum. There is a strong linear relation between solar activity and the amplitude of annual/semiannual variations, and the correlation coefficients are 0.9534 and 0.9424, respectively. Moreover, the amplitude ratio of the annual to semiannual variation is about 1.3 averaged, and changes in different years, but it has little relation with solar activity. Besides that, the amplitude of annual variation is larger than semiannual variation during 1996 and 2006 except 1998 and 2000. The relative error of NRLMSISE-00 model is 14.95%, decreasing to 12.49% after revising, and the correlation coefficients between this empirical model and its improved results and the observation are 0.8185 and 0.9210, respectively. Finally, we suggest the revised version of MSIS series of model should use the Fourier representation to express the intra-annual variations.     

SZ-5 Cabin's Height Changes during Three Super-storms in 2003

In this work, the daily height variations of SZ-5 (Shenzhou-5) cabin from 22 October to 28 November in 2003 are analyzed, which includes the period of the Halloween Storm and the Great November Storm. The significant orbital decays have been observed at the end of October and in late November due to the great solar flares and the severe geomagnetic storms. According to the equation of the air-drag-force on a spacecraft and the SZ-5 orbital decay information, the relative daily average thermospheric density changes during the three 2003 super-storms are derived and the results are compared with the Naval Research Laboratory Mass Spectrometer Incoherent Scatter Radar Extended Model (NRLMSISE-00). The results show that the daily average thermospheric density (at the altitude of SZ-5, about 350 km) in storm time enhances to approximately 200% as much as that in the quiet time but the empirical model may somewhat underestimate the average thermospheric density changes and the daily contributions of geomagnetic storms to the density enhancements during these severe space weather events.      

在强地磁活动期间热层大气成份和密度的变化

选用了１９７４－０７－０６,１９８２－０３－０２和１９８２－０９－０６三次强地磁活动时的Ａｐ值,由ＡＥ－Ｃ和ＤＥ－Ｂ卫星所测得的热层成份数据,进行统计分析,结果表明;在强地磁活动期间,热层大气密度涨落变化十分清晰、涨幅随高度增高而增大,高度６００ｋｍ附近涨幅可直达４倍,热层大气成份中Ｎ２的数密度涨幅最大,而原子氧的丰度在强地磁活动期间明显地下降。     

CHAMP和GRACE-A/B反演大气密度数据评估分析

利用Colorado大学公开发布的2001-2008年CHAMP和GRACE-A/B三颗卫星加速度计反演的400km高度上的大气密度数据,以大气模式NLRMSISE-00为参考,分析反演数据与模式值的误差特点、产生误差的原因、密度的变化及合理性,并通过卫星轨道两行根数（TLE）的反演结果进行验证,主要结论如下.CHAMP密度值整体稍高于GRACE-A/B,CHAMP密度与模式值之间的误差整体小于GRACE-A/B,2007-2008年 GRACE-A/B与模式的相对误差变化起伏较大.2001年CHAMP与模式存在整体偏差,通过相似空间环境条件下的密度变化比对以及利用TLE的反演结果验证,确定2001年的CHAMP反演密度整体偏低.CHAMP及GRACE-A/B密度变化个例显示,卫星密度值会出现一些个性化特征,使用时应根据需求进行分析处理.研究结果可为合理应用该数据提供参考.      

Neutral upper atmospheres of Venus and Mars

Numerous measurements of the neutral upper atmosphere above 100 km have been made from spacecraft over Venus and over Mars. The Venus exospheric temperatures are unexpectedly low (less than 300°K near noon and less than 130°K near midnight). These very low temperatures may be partially caused by collisional excitation of CO₂ vibrational states by atomic oxygen and partially by eddy cooling. The Venus atmosphere is unexpectedly insensitive to solar EUV variability. On the other hand, the Martian dayside exospheric temperature varies from 150°K to 400°K over the 11-year solar cycle, where CO₂ 15-μm cooling may be less effective because of lower atomic oxygen mixing ratios. On Venus, temperature increases with altitude on the dayside (thermosphere), but decreases with altitude from 100 to 150 km on the nightside (cryosphere). However, dayside Martian temperatures near solar minimum for maximum planet-sun distance and low solar activity are essentially isothermal from 40 km to 200 km. During high solar activity, the thermospheric temperatures of Mars sharply increase. The Venus neutral upper atmosphere contains CO₂, O, CO, C, N₂, N, He, H, D and hot nonthermal H, O, C, and N, while the dayside Mars neutral upper atmosphere contains CO₂, O, O₂, CO, C, N₂, He, H, and Ar. There is evidence on Venus for inhibited day-to-night transport as well as superrotation of the upper atmosphere. Both atmospheres have substantial wave activity. Various theoretical models used to interpret the planetary atmospheric data are discussed.