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101.
102.
The extent to which the North Atlantic Oscillation (NAO) is influenced by changes in the ocean state is an issue that has attracted much recent attention. Although there have been counter claims, the weight of evidence clearly suggests that forcing by the ocean of year-to-year changes in the NAO is a weak influence by comparison with atmospheric internal variability. The NAO is thus very different in character to the Southern Oscillation (SO), and its predictability—at least on seasonal-to-interannual timescales—is almost certainly much lower.Although weak, the influence of the ocean on the NAO is not negligible. In a previous study we found that wintertime North Atlantic climate, including the NAO, was significantly influenced by a tripole pattern of North Atlantic SST anomalies. Here we report the results of experiments to further elucidate the nature of this influence. We show that the tripole pattern induces a significant response both in the tropical Atlantic and at mid-to-high latitudes. The low latitude response is forced by the low latitude SST anomalies, but the high latitude response is influenced by the extratropical SST anomalies as well as those in the tropics. Furthermore, we find evidence of nonlinear interaction between the influence of the tropical and extratropical SST anomalies. Lastly, we investigate the feedback from the atmosphere onto the SST tripole. We find that the expected negative feedback is significantly modified at low latitudes by the dynamical response of the atmosphere.  相似文献   
103.
In this paper we present an extension for the 2D (zonal mean) version of our numerical spectral mode (NSM) that incorporates Hines’ Doppler spread parameterization (DSP) for small-scale gravity waves (GW). This model is applied to describe the seasonal variations and the semi-annual and quasi-biennial oscillations (SAO and QBO). Our earlier model reproduced the salient features of the mean zonal circulation in the middle atmosphere, including the QBO extension into the upper mesosphere inferred from UARS measurements. The model is extended to reproduce the upwelling at equatorial latitudes that is associated with the Brewer–Dobson circulation — which affects significantly the dynamics of the stratosphere as Dunkerton had pointed out. In the presence of GW, this upwelling is produced in our model with tropospheric heating, which generates also zonal jets outside the tropics similar to those observed. The resulting upward vertical winds increase the period of the QBO. To compensate for that, one needs to increase the eddy diffusivity and the GW momentum flux, bringing the latter closer to values recommended in the DSP. The QBO period in the model is 30 months (mo), which is conducive to synchronize this oscillation with the seasonal cycle of solar forcing. Associated with this QBO are interannual and interseasonal variations that become increasingly more important at higher altitudes — and this variability is interpreted in terms of GW filtering that effectively couples the dynamical components of the mesosphere. The computed temperature amplitudes for the SAO and QBO are in substantial agreement with observations at equatorial and extra-tropical latitudes. At high latitudes, however, the observed QBO amplitudes are significantly larger, which may be a signature of propagating planetary waves not included in the present model. The assumption of hydrostatic equilibrium not being imposed, we find that the effects from the vertical Coriolis force associated with the equatorial oscillations are large for the vertical winds and significant for the temperature variations even outside the tropics, but the effects are small for the zonal winds.  相似文献   
104.
Changes in solar ultraviolet flux produce changes in ozone concentration in the upper stratosphere with associated radiative and dynamical effects. At low latitudes, the response of ozone mixing ratio to solar UV variations on the time scale of the solar rotation period is well characterized observationally. In addition, there is some provisional evidence for an ozone response at intermediate periods of 60-80 days. Current two-dimensional stratospheric models simulate the observed 27-day response amplitudes and phase lags with reasonable accuracy in the upper stratosphere. The observed response of total ozone on the 27-day time scale is also in approximate agreement with the same models although observed ozone sensitivities and phase lags are slightly larger than expected theoretically. Future studies of the 27-day response at higher latitudes and altitudes are needed to test more completely our understanding of the direct effects of solar UV variability on the middle atmosphere.  相似文献   
105.
Based on the twice-daily marine atmospheric variables which were derived mostly from the weather maps for 18 years period from 1978 to 1995, the surface heat flux over the East Asian marginal seas was calculated at 0.5°×0.5° grid points twice a day. The annual mean distribution of the net heat flux shows that the maximum heat loss occurs in the central part of the Yellow Sea, along the Kuroshio axis and along the west coast of the northern Japanese islands. The area off Vladivostok turned out to be a heat-losing region, however, on the average, the amount of heat loss is minimum over the study area and the estuary of the Yangtze River also appears as a region of the minimum heat loss. The seasonal variations of heat flux show that the period of heat gain is longest in the Yellow Sea, and the maximum heat gain occurs in June. The maximum heat loss occurs in January over the study area, except the Yellow Sea where the heat loss is maximum in December. The annual mean value of the net heat flux in the East/Japan Sea is −108 W/m2 which is about twice the value of Hirose et al. (1996) or about 30% higher than Kato and Asai (1983). For the Yellow Sea, it is about −89 W/m2 and it becomes −75 W/m2 in the East China Sea. This increase in values of the net heat flux comes mostly from the turbulent fluxes which are strongly dependent on the wind speed, which fluctuates largely during the winter season. This revised version was published online in August 2006 with corrections to the Cover Date.  相似文献   
106.
波浪破碎过程产生的湍流动量和能量垂向输运对于加快海洋上混合层中垂向混合具有显著效果。采用二维实验室水槽中对波浪破碎过程进行模拟。对采集的波浪振幅时间序列采用希尔伯特变换定位破碎波位置,波浪的破碎率随有效波高的增加而增大,波浪谱分析得到的波浪基本周期与有效周期结果相似。实验中采用粒子图像测速技术(particle image velocimetry, PIV)计算波浪破碎过程中湍动能耗散率的空间分布。湍流强度与波浪的相位密切相关,波峰位置处湍流活动最为剧烈,而且波峰位置处湍流混合区内湍动能耗散率量值的垂向分布基本保持不变,即出现"湍流饱和"现象,湍流影响深度可以达到波高的70%—90%。计算湍流扩散系数的垂向分布发现,湍流扩散在混合区上部随深度的增大以指数函数的形式增加,在混合区下部趋于稳定。作为对比,在相同位置处对声学多普勒流速测量仪(acoustic Doppler velocimeter, ADV)测量的单点流速做频谱分析,发现与该位置处PIV湍动能耗散率结果量级处于同一水平,进一步验证了实验结果的准确性。  相似文献   
107.
108.
为了研究大气静力平衡适应过程的本质,利用波动理论和能量转换角度,分别对完全可压缩的等温大气模型、滞弹近似下的等温大气模型和层结中性大气模型进行研究比较.结果表明:大气静力平衡适应过程的本质是声波和混合声重力波对扰动能量的频散过程,滞弹近似模型和层结中性模型均不能完全描述此适应过程;在波动假设下,此三类大气模型中扰动物理量之间的偏振关系同波动的性质有关,气团的运动方程均为椭圆方程,声波和混合声重力波对气团运动的作用差异较显著.
大气静力平衡适应过程中扰动能量以有效势能、有效弹性势能、动能或波动能量的形式存在并相互转换;扰动有效势能与其他形式能量之间的转换与混合声重力波或者重力内波有关,扰动有效弹性势能与其他形式能量之间的转换与声波有关.在完全可压缩的等温大气模型中,扰动有效势能增加1个单位,其中69.9%来自扰动垂直动能,其余30.1%来自扰动有效弹性势能.  相似文献   
109.
重力波、中性风场、电场是激发电离层扩展F的主要影响因子,本文基于中低纬电离层扩展F发展的物理模型,通过电场强度、背景风场对扩展F影响作用的分析和经验对比,首先验证了模型的有效性,后借助该模型数值模拟了给定背景环境下三种尺度初始电子密度扰动条件下扩展F的发展情况,同时研究了利用化学物质释放实现一定尺度扰动,进而激发扩展F的过程.结果表明,较强的背景电场、东向风场有利于扩展F的形成和抬升,与经验结论相吻合;电离层从被作用初始扰动到激发扩展F的过程中存在拐点效应,拐点之后扩展F被激发形成并且抬升迅速,同时短波长扰动相对于长波长扰动更有利于扩展F的激发和发展;化学物质H_2O释放通过耗散电子密度,形成了一定尺度扰动并诱发了扩展F的形成,该方法可作为一种人工激发扩展F的探索手段.  相似文献   
110.
Raindrops falling on the sea surface produce turbulence. The present study examined the influence of rain-induced turbulence on oil droplet size and dispersion of oil spills in Douglas Channel in British Columbia, Canada using hourly atmospheric data in 2011–2013. We examined three types of oils: a light oil (Cold Lake Diluent - CLD), and two heavy oils (Cold Lake Blend - CLB and Access Western Blend - AWB). We found that the turbulent energy dissipation rate produced by rainfalls is comparable to what is produced by wind-induced wave breaking in our study area. With the use of chemical dispersants, our results indicate that a heavy rainfall (rain rate > 20 mm h? 1) can produce the maximum droplet size of 300 μm for light oil and 1000 μm for heavy oils, and it can disperse the light oil with fraction of 22–45% and the heavy oils of 8–13%, respectively. Heavy rainfalls could be a factor for the fate of oil spills in Douglas Channel, especially for a spill of light oil and the use of chemical dispersants.  相似文献   
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