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21.
Ali G. Hafez Essam Ghamry Hideki Yayama Kiyohumi Yumoto 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2013
Geomagnetic storm sudden commencements (SSC) contain a wealth of information which is useful in many applications. It is important to point out that the SSCs used in this study are sampled at the rate of one sample per second in order get use of such high resolution data. In this paper, two studies are made on the geomagnetic SSC and an SSC onset automatic detection algorithm is introduced. The first study is about finding the relationship between the SSC rise time and its amplitude. Where it is found that there is a positive correlation between the amplitude and the amplitude gradient which is the amplitude divided by rise time. The second study is checking the spectrum of the SSC, starting from its onset until the end of the SSC rise time. This check had proved that the SSC contains both low and high frequency regions. This led us to introduce a new term, namely the SSC variation rate (VR). This VR is defined as the maximum rate of change of the field in the higher-frequency region of the SSC. These two studies were the guide to build an SSC automatic detector of one sample per second data using multi resolution analysis (MRA) of the discrete wavelet transform (DWT). The data set contains 134 SSCs with different VRs that were collected from the Circum-pan Pacific Magnetometer Network (CPMN). It is found that the standard deviation of the detection error is 41 s and that the average error is 9 s. From the calculated error distribution function, it is found that the detection error is within the range of −1.5 to 3 min. The detection process, as will be shown in the article, takes 70 s for one station and 3 min if the decision is related to the detection(s) of other stations. These results demonstrate the superiority of the proposed algorithm over other algorithms in which the detection error ranges between −8 and 5 min and the detection process takes 2–10 min. In addition to being faster and more accurate than the other algorithms, the proposed algorithm is the first algorithm that automatically detects the SSC onset times from high-resolution data unlike previous studies that focused on determining the SSC times automatically using one-minute resolution data. 相似文献
22.
P. Alexander M. Rossi 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2013
Zonal velocity and temperature daily global reanalysis data of 30 years are used to search seasonally steady planetary disturbances in the middle troposphere (400 hPa) and middle stratosphere (10 hPa). Significant wavenumber 1, 2 and 3 modes are found. Constant phase lines of zonal velocity 1 modes exhibit significant inclination angles with respect to the meridians. The winter hemisphere generally shows a more significant presence of structures. The Northern Hemisphere (NH) exhibits all over the year a larger amount of structures and more intense amplitudes than the Southern Hemisphere (SH). Middle latitudes exhibit the most significant cases and low latitudes the least significant ones. Longitudinally oriented land–sea transitions at ±65° and −35° latitudes appear to play a significant role for the presence of steady planetary modes. The stratosphere exhibits a much simpler picture than the troposphere. Large scale structures with respectively NE–SW (NH) and NW–SE (SH) tilts in the observed temperature and zonal velocity constant phase lines recall the quasi-stationary Rossby wave trains that favor the poleward transport of angular momentum. 相似文献
23.
Jean Claude Uwamahoro John Bosco Habarulema Dalia Buresova 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2019,63(10):3102-3118
A statistical evaluation of storm-time total electron content (TEC) modelling techniques over various latitudes of the African sector and surrounding areas is presented. The source of observational TEC data used in this study is the Global Navigation Satellite Systems (GNSS), specifically the Global Positioning Systems (GPS) receiver networks. For each selected receiver station, three different storm-time models based on empirical orthogonal functions (EOF) analysis, non-linear regression analysis (NLRA) and Artificial neural networks (ANN), were implemented. Storm-time GPS TEC data used for both development and validation of the models was selected based on the storm criterion of nT or to take into account both coronal mass ejections (CMEs) and co-rotating interaction regions (CIRs) driven storms, respectively. To make an independent test of the models, storm periods considered for validation were excluded from datasets used during the implementation of the models and results are compared with observations, monthly median values, and International Reference Ionosphere (IRI-2016) predictions. Considering GPS TEC as reference, a statistical analysis performed over six storm periods reserved for validation revealed that ANN model is about 10%, 26%, and 58% more accurate than EOF, NLRA, and IRI models, respectively. It was further found that, EOF model performs 15%, and 44% better than NLRA, and IRI models, respectively, while NLRA is 25% better than IRI. On the other hand, results are also discussed referring to the background ionosphere represented by monthly median TEC (MM TEC) and statistics are provided. Moreover, strengths and weaknesses of each model are highlighted. 相似文献
24.
刘大云 《南京航空航天大学学报》1988,(3)
本文用Melnikov方法研究高压输电网设计中提出的非线性二阶受迫振动方程的次谐波分枝,分析了系统可能出现次谐解的条件和参数区域,以此为工程应用提供参考。 相似文献
25.
利用CHAMP卫星数据,对2002-2008年12个不同强度磁暴事件期间的热层大气密度变化特征进行分析,并研究对应磁暴期间大气模式NRLMSISE-00分布特征.结果表明,大磁暴期间日侧大气密度峰值从高纬到低纬的时间延迟为2h,中小磁暴期间的延迟时间为3~4h;春秋季暴时大气密度分布基本呈南北对称分布,而夏冬季大气密度的分布是夏半球大于冬半球,春秋季暴时大气密度大于夏冬季;NRLMSISE-00大气模式得到的热层大气密度很好的体现了半球分布以及季节分布的特征,但模式模拟结果偏小;Dst指数峰值比ap指数峰值更能反应大气密度的变化情况. 相似文献
26.
M. Ayub S. Iqbal M.A. Ameen B.W. Reinisch 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2009
The monthly hourly medians of maximum electron density, NmF2, at two Pakistani ionospheric stations, Karachi and Islamabad, have been determined for solar minimum (1996) and solar maximum (2000) and compared with IRI predictions using the URSI coefficients. At night and pre-noon period the NmF2 values at both stations are almost equal during the 2 years. However, at post-noon the values at Karachi are considerably larger than those at Islamabad due to the equatorial or geomagnetic anomaly. Karachi (geomag. coord. 16.44°N, 139.08°E) lies near the region of the equatorial anomaly (+20 and −20 geomagnetic latitude), so most of the NmF2 values at Karachi are larger than those at Islamabad (geomag. coord. 24.46°N, 145.67°E). The maximum monthly values of NmF2 show a semi-annual variation at Karachi and Islamabad both during 1996 and 2000 as predicted by IRI. 相似文献
27.
M.A. Van Zele A. Meza 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2011
This paper studies the efficiency of geomagnetic solar flare effects (gsfe) in X solar flare detection; so during the period 1999–2007 a comparison between solar flare (sf) observed by satellites of the Geostationary Operational Environmental Satellite (GOES) programme and gsfe published by the Service International des Indices Geomagnetiques (SIIG) is made. 相似文献
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Alicia L. Clúa de Gonzalez Walter D. Gonzalez 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2013
In the present paper the local-time variations in the disturbance of the geomagnetic-field horizontal component (H) for eight intense geomagnetic storms that occurred during the descending phase of solar cycle 23 have been analyzed. The study was based on the plot of contour lines of the H-depletion intensity in the plane local time versus universal time (LT–UT maps) with the objective of observing how the morphology and evolution of the ring current is mapped into the surface of the Earth in presence of intense geomagnetic storms. 相似文献