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51.
南海夏季风爆发与大气对流低频振荡的年际变化   总被引:8,自引:0,他引:8  
根据1980~1991年云顶黑体温度(TBB)相位和强度的变化确定了南海夏季风爆发的时间,分析研究了夏季风爆发期间TBB场和850hPa风场的变化过程及其与海温的关系。结果表明:南海夏季风爆发平均时间是5月第4候,它爆发的时间和强度有显著的年际变化,并与大气的低频振荡及前期海洋的热力状况有密切关系。南海夏季风爆发早年(4月第6候),副热带高压较弱,撤离南海较快,从赤道东印度洋到赤道西太平洋,大气对流活动较强,夏季风爆发南海早于孟加拉湾,季风爆发时90~100°E区域过赤道气流显著加强。夏季风爆发晚年(6月第1候)情况相反。南海夏季风爆发早晚与大气30~60天振荡到达南海的位相有关,前冬和早春南海海温的高低和4月中旬至5月中南半岛强对流区的出现时间,是南海夏季风爆发年际变化的前期征兆。根据前冬南海海温预测1998年南海夏季风爆发的时间和强度与实际相符。  相似文献   
52.
热带次表层海温与南海夏季风的关系研究   总被引:11,自引:0,他引:11  
分析了南海夏季风强度指数 ,与热带太平洋至印度洋 0~ 4 0 0m海水海温距平场的相关关系 ,发现南海夏季风在 12 0m层的信号最强 ,并且与ENSO循环有关。根据相关场反映的信息对季风强度与海温场分类 ,针对其中 4种情况对 12 0m层海温距平和 85 0hPaU分量进行合成分析 ,发现热带海温异常影响南海夏季风强度 ,季风强弱反过来改变海温分布。最后给出了对季风和ENSO预报有指示意义的海温及风场分布  相似文献   
53.
A two and a half layer oceanic model of wind-driven, thermodynamical general circulation is appliedto study the interannual oscillation of sea surface temperature (SST) in the South China Sea (SCS). Themodel consists of two active layers: the upper mixed layer (UML) and the seasonal thermocline, with themotionless abyss beneath them. The governing equations which include momentum, continuity and sea.temperature for each active layer, can describe the physics of Boussinseq approximation, reduced gravityand equatorial β-plane. The formulas for the heat flux at the surface and at the interface between twoactive layers are designed on the Haney scheme. The entrainment and detrainment at the bottom of theUML induces vertical transport of mass,momentum and heat, and couples of dynamic andthermodynamic effect.Using leap-frog integrating scheme and the Arakawa-C grid the model is forced bya time-dependent wind anomaly stress pattern obtained from category analysis of COADS. The numerical results indicate that t  相似文献   
54.
正1"海洋性大陆"观测研究计划介绍海洋性大陆(Maritime Continent,以下简称MC)是指由中南半岛、菲律宾群岛、印度尼西亚群岛、新几内亚岛等众多岛屿和中国南海及一系列浅海组成的区域(图1),该地区地处太平洋、印度洋、亚洲、大洋洲的连接地带,是中国战略构想"海上丝绸之路"的必经之地。MC地区特殊的地理位置、复杂的海陆分布和地形状况,使其成为连接太平洋和印度洋、地球大气低纬度和中高纬度地区、以及对流  相似文献   
55.
文章通过BP神经网络模型,利用西沙站的实测潮位推算三亚站潮位,研究用一地点的潮位资料去推算另一地点(异地)潮位的方法。文章比较了不同隐含层节点数和输入因子对潮位推算结果的影响,采用预测时间(t)之前N个小时(t–N+1,…,t–1,t)西沙站的实测潮位数据作为输入因子,输入因子数目在2~10之间,隐含层分别采用节点数3、4、5、10和15建模,分多种情况进行推算。结果显示,对文中使用的特定情形,隐含层为4个节点的效果最好,隐含层为15个节点的效果最差;输入层为2个节点的效果最好,输入因子增多会使得推算效果变差。隐含层为4个节点、输入因子为t–1、t时刻潮位的仿真验证的结果最好,推算值和实测值之间的相关系数为0.9901,均方根误差为0.06m,误差在–0.16~0.15m之间。结果表明,如果两个地点的潮位具有物理上的关联,通过BP神经网络模型,用一地点的实测潮位推算另一地点潮位的方法是可行的。  相似文献   
56.
基于探空数据的南海表面波导统计特征研究   总被引:1,自引:0,他引:1  
Based on the global position system(GPS) radiosonde data near the sea surface, the surface duct characteristics over the South China Sea(SCS) were statistically analyzed. The annual surface duct occurrence over the SCS was about 64%. Of the observed surface ducts, duct heights mainly distributed between 18 and 42 m, with M slopes in the range of –0.3 to –0.2 M units/m. Those ducts accounted for about 80% of the ducting cases. For the total profiles, the duct occurrences in a day changed slowly and were more than 60% in all times. The surface ducts formed more easily in the daytime than in the nighttime and most of the duct height were at bellow about 32 m.Additionally, The seasonal variation of the SCS ducts appeared to be evident, except that the mean duct thickness was almost constant, about 33 m for all seasons. The highest occurrence was about 71% in the autumn, followed by in the summer, spring and winter. In spring, their top-height existed more often at a height of more than 48 m.Their mean duct strength became stronger trend from spring to winter, with the M-slope in the range between–0.26 and –0.18 M units/m. Those results agreed well with other studies, provided considering the data resolution.The statistical analysis was reliable and gave the duct estimation for the SCS. Such duct climatology not only has important implications for communication systems and the reliability of the radar observation, but also can provide useful information to improve the accuracy of the meteorological radar measurements.  相似文献   
57.
Using hydrographic data sampled during four successive late summer-early autumn cruises in 2004-2007, vertical stratification along transects in the lee of Taiwan Island was analyzed to investigate upper ocean responses to orographically induced dipole wind stress curl (WSC). Results indicate that mixed-layer depth (MLD) and its relationship with thermocline depth varied under different local wind forcings. Average MLD along the transects from the 2004 to 2007 cruises were 18.5,30.7,39.2 and 24.5m, respectively. The MLD along the transects deepened remarkably and resulted in thermocline ventilation in 2005 and 2006, whereas ventilation did not occur in 2004 and 2007. Estimates indicate that frictional wind speed was the major factor in MLD variations. To a large degree, the combined effects of frictional wind speed and Ekman pumping are responsible for the spatial pattern of MLD during the cruises.  相似文献   
58.
The spatial structure and variation of the upwelling in the waters east and northeast of Hainan Island, China during 2000-2007 were investigated using a nested high-resolution Princeton Ocean Model (POM) forced by QuikSCAT winds. The model produced good simulations of the summer upwelling and the seasonal and annual variability. Strong upwelling occurs from mid-July to mid-August with a peak east of Hainan Island associated with the southwesterly monsoon in the South China Sea. Sensitivity experiments indicated that when the local wind stress controls the variability of the upwelling, the large-scale circulation significantly enhances the upwelling northeast of Hainan Island by inducing a local upwelling and transporting cold water northeast-ward along the island’s east coast. The joint effects of the local wind stress and large-scale circulation result in stronger upwelling northeast of Hainan Island. This implies that the annual variation of the upwelling northeast of Hainan Island is controlled not only by the local alongshore wind stress but also by the large-scale circulation. This result will help us investigate the decadal variation of the upwelling in this region in the future.  相似文献   
59.
We addressed the mesoscale structure variation of the central South China Sea (SCS) with the measurements by a long-lived Argo float and a high-resolution ATLAS buoy during 1998–2002. T-S diagram indicates cooling and freshening events in 2000 and 2001 with lower salinity (0.5–0.8) and lower temperature (1–1.7°C). Significant decrease in the net heat flux and increase in the precipitation suggest that the cooling and freshening is due to extra forcing by the atmosphere. Additional to large year-to-year changes, intraseasonal variability is moderate in the research area. The axis of the maximum intraseasonal temperature and salinity signals are mainly located on the thermocline. Typically, amplitude and period of intraseasonal temperature is about 2°C and 40–60 days, and that of salinity is 0.3–0.5 and 35–60 days. Rapidly-changing winds, heat flux, and precipitation are critical in controlling the intraseasonal fluctuations of the mixed layer of the area. Studies on heat and freshwater balance in the mixed-layer further suggest that horizontal advection plays an important role in intraseasonal fluctuation in the upper ocean. In addition, the energetic mesoscale propagation radiated from the east boundary is linked to the intraseasonal variability in winter.  相似文献   
60.
本文研究了2017年春季孟加拉湾小型暖池对热带气旋Maarutha(4月14-17日)以及热带气旋Mora(5月27-30日)的影响.利用卫星遥感和现场观测数据分析发现,尽管春季孟加拉湾热带气旋确实能引起海洋上层冷却效应,但是其冷却强度受到暖池强度的影响.本文进一步对比孟加拉湾小型暖池对两个热带气旋的响应情况,发现当春季小型暖池的温度大于31℃(热带气旋Mora期间),暖池效应能有效抑制海洋上层混合层的加深,降低热带气旋引起的潜热通量损失带来的冷却效应,并在一定程度上加强了热带气旋.  相似文献   
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