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利用空时平均最大特征值算法的DOA估计 被引量:2
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作者 冯文江 岳晋 黄天聪 《电波科学学报》 EI CSCD 北大核心 2006年第1期59-63,共5页
利用阵列天线接收信号的空时平稳特性,在最大特征值法的基础上提出一种改进的DOA估计算法。通过对阵列输出采样协方差矩阵的修正,在低信噪比、小采样数的情况下,能有效改善DOA估计性能。理论分析和实验仿真表明,改进算法结构简单、收敛... 利用阵列天线接收信号的空时平稳特性,在最大特征值法的基础上提出一种改进的DOA估计算法。通过对阵列输出采样协方差矩阵的修正,在低信噪比、小采样数的情况下,能有效改善DOA估计性能。理论分析和实验仿真表明,改进算法结构简单、收敛速度快,对多径信号具有很强的鲁棒性。 展开更多
关键词 DOA估计 最大特征值法 空时平均 阵列天线
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Characteristics of Spatial and Temporal Variations of Monthly Mean Surface Air Temperature over Qinghai-Tibet Plateau 被引量:7
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作者 ZHANG Qianggong KANG Shichang YAN Yuping 《Chinese Geographical Science》 SCIE CSCD 2006年第4期351-358,共8页
The recorded meteorological data of monthly mean surface air temperature from 72 meteorological stations over the Qinghal-Tibet Plateau in the period of 1960-2003 have been analyzed by using Empirical Orthogonal Funct... The recorded meteorological data of monthly mean surface air temperature from 72 meteorological stations over the Qinghal-Tibet Plateau in the period of 1960-2003 have been analyzed by using Empirical Orthogonal Function (EOF) method, to understand the detailed features of its temporal and spatial variations. The results show that there was a high consistency of the monthly mean surface air temperature, with a secondarily different variation between the north and the south of the plateau. Warming trend has existed at all stations since the 1960s, while the warming rates were different in various zones. The source regions of big rivers had intense warming tendency. June, November and December were the top three fast-warming months since the 1960s; while April, July and September presented dramatic warming tendency during the last decade. 展开更多
关键词 monthly mean surface air temperature climatic variation EOF analysis Qinghai-Tibet Plateau
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The spatiotemporal characteristics of spring phenophase changes of Fraxinus chinensis in China from 1952 to 2007 被引量:15
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作者 WANG HuanJiong DAI JunHu GE QuanSheng 《Science China Earth Sciences》 SCIE EI CAS 2012年第6期991-1000,共10页
We selected widely distributed and well observed plant species Fraxinus chinensis to study the formation mechanism of geographical distribution of the plant phenophase changes and revealed their spatiotemporal dynamic... We selected widely distributed and well observed plant species Fraxinus chinensis to study the formation mechanism of geographical distribution of the plant phenophase changes and revealed their spatiotemporal dynamics in China. Based on the first leaf date (FLD) data at 12 sites derived from Chinese Phenological Observation Network (CPON) and related meteoro- logical data, we developed and validated the process-based model of FLD for Fraxinus chinensis. After reconstructing data series of FLD for Fraxinus chinensis over the study area from 1952 to 2007, we analyzed different spatiotemporal patterns of phenophase changes of this species. The results suggested that the process-based model was able to simulate the FLD accu- rately for Fraxinus chinensis on large spatial and temporal scales, because of the consideration of different budding rate re- sponded to the air temperatures during the dormancy and the quiescence in accordance with the physiological mechanism of plants. The geographical distribution of the spring phenology in temperate regions was determined by the spatial pattern of daily average air temperature. The changes of FLD for Fraxinus chinensis revealed significant phenological advances in most areas. However, it showed delayed trends in a few sites. The overall average change trend was -1 .l days/decade. This result was consistent with the advanced trend in other regions of the North Hemisphere. The changes of FLD showed a noticeable regional variation with clearer advance in the north than in the south. The FLD in northern China showed an average ad- vance as high as -2.0 days/decade (P〈0.01). And the advance in northeastern and northwestern China was respectively -1.5 and -1.4 days/decade (P〈0.01). Furthermore, eastern and central regions showed a minor trend, which was -1.0 days/decade (P〈0.05). The smallest and non-significant advance appeared in southwestern and southern China. 展开更多
关键词 phenophases phenological model first leaf Fraxinus chinensis
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Spatial-temporal variation characteristics of global evaporation revealed by eight reanalyses 被引量:2
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作者 SU Tao FENG GuoLin 《Science China Earth Sciences》 SCIE EI CAS CSCD 2015年第2期255-269,共15页
On the basis of eight atmospheric reanalyses, we analyzed the spatial-temporal characteristics of global evaporation and also briefly evaluated the eight reanalyses. The results indicate that the long-term mean annual... On the basis of eight atmospheric reanalyses, we analyzed the spatial-temporal characteristics of global evaporation and also briefly evaluated the eight reanalyses. The results indicate that the long-term mean annual evaporation obtained from different reanalyses are consistent over most regions, with significant maritime-continental contrasts, as well as differences in meridional directions, and the land evaporation generally decreases with the increase of altitude. In addition, the temporal evolution of global evaporation varies significantly among the datasets, MERRA, ERA-Interim, NCEP-NCRA, and NCEP-DOE are very similar, whereas CFSR agrees best with ERA-40. Comparison of the inter-annual to inter-decadal variability of land evaporation reveals large differences among the reanalyses, whereas MERRA, CFSR, and NCEP-DOE are exactly similar. The temporal variation of evaporation over the oceans showed a relatively high consistency, which indicates that the quality of the reconstructed evaporation values over the oceans is higher, and even greater uncertainties lie in the estimates of evaporation over the land. In general, MERRA and NCEP-DOE may appropriately reflect the spatial-temporal characteristics of global evaporation, showing strong representativeness. The CFSR and ERA-40 are capable of revealing the characteristics of land evaporation, whereas ERA-Interim, NCEP-NCAR, OAFlux, and HOAPS are relatively applicable for research focused on the evaporation over the oceans. According to ERA-40, NCEP-NCAR, and OAFlux, global evaporation significantly decreased for the period of 1958–1978. In contrast, most of the eight reanalyses show a significant linear increase for the period of 1979–2011, and evaporation over the oceans was even more pronounced. Furthermore, the results are presented for the mean annual cycle of global evaporation, the changes at the low latitudes in the Northern Hemisphere are most distinct, and the monthly variation amplitude of the land evaporation was higher than that of the evaporation over the oceans. 展开更多
关键词 evaporation briefly reconstructed consistency capable exactly meridional continental interpolation directions
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