全文获取类型
收费全文 | 111篇 |
免费 | 19篇 |
国内免费 | 17篇 |
专业分类
测绘学 | 27篇 |
大气科学 | 23篇 |
地球物理 | 56篇 |
地质学 | 14篇 |
海洋学 | 14篇 |
天文学 | 3篇 |
综合类 | 7篇 |
自然地理 | 3篇 |
出版年
2023年 | 1篇 |
2022年 | 2篇 |
2021年 | 3篇 |
2020年 | 1篇 |
2019年 | 6篇 |
2018年 | 6篇 |
2017年 | 7篇 |
2016年 | 5篇 |
2015年 | 7篇 |
2014年 | 7篇 |
2013年 | 12篇 |
2012年 | 4篇 |
2011年 | 12篇 |
2010年 | 7篇 |
2009年 | 5篇 |
2008年 | 9篇 |
2007年 | 4篇 |
2006年 | 7篇 |
2005年 | 7篇 |
2004年 | 3篇 |
2003年 | 4篇 |
2002年 | 2篇 |
2001年 | 3篇 |
2000年 | 2篇 |
1999年 | 4篇 |
1998年 | 1篇 |
1997年 | 2篇 |
1996年 | 3篇 |
1995年 | 2篇 |
1994年 | 2篇 |
1993年 | 2篇 |
1992年 | 2篇 |
1987年 | 1篇 |
1981年 | 1篇 |
1980年 | 1篇 |
排序方式: 共有147条查询结果,搜索用时 31 毫秒
11.
12.
文章首先对GIS中5种常用的空间插值方法原理进行了详细阐述,采用交叉验证法来对比分析不同插值方法的精度。应用反距离权重法、克里金法、自然邻域法、样条函数法、趋势面法5种常用的空间插值方法对兖矿集团济三煤矿1308工作面开采沉陷预计数据进行插值,对比分析了各种插值方法的精度,并对插值的误差影响因素进行了实验分析。结果表明:5种常用的空间插值方法中,克里金插值和样条函数插值精度最高,自然邻域插值和反距离权重插值精度居中,趋势面插值精度最低;对插值结果造成影响的因素与沉陷预计点的数量和密度有关,沉陷预计点的密度越大、数量越多,空间插值结果的精度就越高。研究成果可为矿山开采沉陷预计插值方法的选取提供借鉴。 相似文献
13.
Evensen (2003) presents a modification of the Ensemble Kalman Filter (EnKF), in which the observation-error and background-error covariance matrices are both represented by ensembles, in contrast to the usual practice, where only the background error is so represented. It is shown that this modification can cause the ensemble to collapse to a single member, in the common situation where the number of observations is more than twice the number of ensemble members, and to be rank-deficient when the number of observations is greater than or equal to the ensemble size. It is also shown that some further modifications to the scheme, presented by Evensen as offering numerical efficiencies, can prevent this collapse. However, these latter modifications are shown in some simple numerical examples to require tuning to produce acceptable results, which are nevertheless inferior to those of the standard EnKF.Acknowledgements The author acknowledges useful discussions with Peter Steinle, and other participants at the EnKF workshop held in BMRC in November, 2003. 相似文献
14.
Assimilation of Hourly Surface Observations with the Canadian High-Resolution Ensemble Kalman Filter
An hourly-cycling ensemble Kalman filter (EnKF) working at 2.5?km horizontal grid spacing is implemented over southern Ontario (Canada) to assimilate Meteorological Terminal Aviation Routine Weather Reports (METARs) in addition to the observations assimilated operationally at the Canadian Meteorological Centre. This high-resolution EnKF (HREnKF) system employs ensemble land analyses and perturbed roughness length to prevent an ensemble spread that is too small near the surface. The HREnKF then performs continuously for a four-day period, from which twelve-hour ensemble forecasts are launched every six hours. The impact on analyses and short-term forecasts of assimilating METAR data is given special attention.It is shown that using ensemble land surface analyses increases near-surface ensemble spreads for temperature and specific humidity. Perturbing roughness length enlarges the spread for surface wind. Given sufficient ensemble spread, the four-day case study shows that the near-surface model state is brought closer to surface observations during the cycling process. The impact of assimilating surface data can also be seen at higher levels by using aircraft reports for verification. The ensemble forecast verification suggests that METAR data assimilation improves ensemble forecasts of air temperature and dewpoint near the surface up to a lead time of six hours or even longer. However, only minor improvement is found in surface wind forecasts. 相似文献
15.
Kalman滤波方法在黑河出山径流年平均流量预报中的应用 总被引:21,自引:10,他引:11
应用Kalman滤波方法,以流域平均降水量、气温、太阳黑子相对数及莺落峡站6年显著周期序列等为控制参数,对黑河出山径流年平均流量的预测问题进行了初步研究和探讨。 相似文献
16.
17.
Microseismic events enhancement and detection in sensor arrays using autocorrelation‐based filtering
下载免费PDF全文
![点击此处可从《Geophysical Prospecting》网站下载免费的PDF全文](/ch/ext_images/free.gif)
Entao Liu Lijun Zhu Anupama Govinda Raj James H. McClellan Abdullatif Al‐Shuhail SanLinn I. Kaka Naveed Iqbal 《Geophysical Prospecting》2017,65(6):1496-1509
Passive microseismic data are commonly buried in noise, which presents a significant challenge for signal detection and recovery. For recordings from a surface sensor array where each trace contains a time‐delayed arrival from the event, we propose an autocorrelation‐based stacking method that designs a denoising filter from all the traces, as well as a multi‐channel detection scheme. This approach circumvents the issue of time aligning the traces prior to stacking because every trace's autocorrelation is centred at zero in the lag domain. The effect of white noise is concentrated near zero lag; thus, the filter design requires a predictable adjustment of the zero‐lag value. Truncation of the autocorrelation is employed to smooth the impulse response of the denoising filter. In order to extend the applicability of the algorithm, we also propose a noise prewhitening scheme that addresses cases with coloured noise. The simplicity and robustness of this method are validated with synthetic and real seismic traces. 相似文献
18.
提出了一种适用于室内超宽带定位的降维Kalman滤波算法,结合LSE算法与降维Kalman滤波算法进行定位求解,以数值仿真试验及物理试验验证了其有效性。 相似文献
19.
20.