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121.
根据24年CCMP风场资料和江苏沿海4个方向(N、NE、E和SE)百年一遇风速,构建西北太平洋、东中国海和江苏沿海上述4个方向的百年一遇风场。首次建立一个基于第三代海浪模型SWAN的自西北太平洋、东中国海至江苏沿海的三重嵌套数值模型,以AVISO卫星观测数据和江苏沿海定点实测数据进行验证。以三个计算域4个方向百年一遇风场为驱动风场,驱动该多重嵌套模型,高精度数值模拟江苏沿海4个方向百年一遇有效波高分布并进行分析。结果表明,江苏沿海辐射沙洲地形对有效波高分布影响显著;E向百年一遇风场作用下海域有效波高最大,NE向次之,N向和SE较小。 相似文献
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In this study, a long-term comparative assessment of the potential of wave power in the Black Sea was conducted using the calibrated and validated SWAN (Simulating WAves Nearshore) model forced by two well-known wind fields. The European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim and National Centers for Environmental Prediction/Climate Forecast System Reanalysis (NCEP/CFSR) wind fields were used, covering data from 1979 to 2018. In general, the wave power potential based on the results of the CFSR wind field was found to be slightly higher than that obtained with the ERA-Interim wind field. The greatest discrepancy between the results of the ERA-Interim and CFSR wind fields was observed in the northeastern Black Sea. The spatial distributions of the wave power were also evaluated on a seasonal scale using wave parameters obtained from the calibrated SWAN model. The wave climate obtained from both long-term and seasonal assessments indicates that the western Black Sea, especially the southwestern Black Sea, is characterized by higher wave power potential and lower variability, while the eastern Black Sea has lower wave power potential and higher variability. Stable and powerful long-term wave conditions in the southwestern Black Sea can indicate that this region is a suitable location for wave farms. In contrast, the effect of the long-term variability on wave power is greatest in the eastern Black Sea owing to the highly variable wave conditions in this region. 相似文献
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随着海南深水网箱养殖规模的不断扩大,海浪精细化预报的需求越来越紧迫。以海南岛周边海域为目标区域,基于近岸海洋模式ADCIRC(Advancedcirculationmodel)和海浪模式SWAN(Simulating WavesNearshore),建立了海南岛近岸养殖区台风浪数值预报系统。该系统采用非结构高分辨率网格,近岸分辨率达到了100m。选取2014年第9号超强台风"威马逊"(RAMMASUN)进行针对海南岛近岸养殖区的台风浪数值模拟后报。模拟结果与实测数据较为吻合。采用全球预报系统GFS(Global Forecast System)风场和气压场数据作为驱动场对2018年7月的一次热带风暴过程进行预报,48小时、24小时预报的有效波高和实测结果比较平均相对误差分别为20.75%和17.0%。总体来说,该模型的预报精度可以满足近岸养殖区台风浪预报业务的需求。 相似文献
127.
渤海湾风浪场的数值模拟 总被引:14,自引:1,他引:13
采用SWAN模型对渤海湾在定常风和非定常风作用下的波浪场进行了模拟,并利用黄骅港附近波浪统计资料对模拟结果进行了验证。结果表明:SWAN模型较好地模拟了渤海湾在定常风和非定常风作用下风浪成长和传播过程。此外,还应用ADCIRC潮流模型,初步探讨了潮流对波浪要素的影响:(1)无流存在时,波高的成长和波周期的变化是一条光滑的曲线,但当有流加入时,由于其流速和水位在一个潮周期内随时间的变化足不均匀的,其对波浪成长产生影响,使波高和周期呈不规则变化;(2)波浪成长初期,流对波高增长的影响并不明显,但当波高增大到一定程度时,流的存在对波高的影响是很明显的。 相似文献
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Sea ice can attenuate wave energy significantly when waves propagate through ice covers.In this study,a third-generation wave model called simulating wave nearshore(SWAN)was advanced to include damping of wave energy due to friction in the boundary layer below the ice.With the addition of an eddy viscosity wave-ice model,the resulting new SWAN model was applied to simulate wave height in the Bohai Sea during the freezing winter.Its performance was validated with available buoy data near the ice edge,and the new model showed an improvement in accuracy because it considered the ice effect on waves.We then performed a wave hindcast for the Bohai Sea during a freezing period in the winter of 2016 that had the severest ice conditions in recent years and found that the mean significant wave height changed by approximately 16.52%.In the Liaodong Bay,where sea ice concentration is highest,the change reached 32.57%,compared with the most recent SWAN model version.The average influence of sea ice on wave height simulation was also evaluated over a five-year(2013-2017)hindcast during January and February.We found that the wave height decrease was more significant in storm conditions even the eddy viscosity wave-ice model itself showed no advantage on damping stronger waves. 相似文献
129.
The Radial Sand Ridges(RSRs)area in the southern Yellow Sea are subject to tropical and extratropical cyclone activities frequently,in which the special geometry feature and moving stationary tidal system result in complex storm-induced hydrodynamic processes,especially the tide-surge interactions.We studied a rare weather event influenced simultaneously by an extratropical cyclone EX1410 and Typhoon Vongfong as an example to investigate the characteristics of storm surges,wave-surge,and tide-surge interaction in the RSRs area,and applied a high-resolution integrally-coupled ADCIRC+SWAN model,in which the meteorological forcing inputs are simulated by the WRF-ARW model.The model is validated by records from 4 tide gauges and 2 wave buoys along the Yellow Sea coast.Results show that the tide-surge interactions are of considerable regional heterogeneousness.The surge curves at Lüsi(in south RSRs)and Jianggang(in middle RSRs)have abrupt falls near the time of low tide,where the peak occurrence time of interaction residuals tend to shift towards the mid-ebb period.Significant increase of bed shear stress in shallow waters was proved the dominant factor to affect the tide-surge interaction in broad tidal flats of the RSRs area.Differently,the interaction pattern in the Xiyang Trough(in north RSRs),showed a unique rising in mid-flood period due to the phase advances of real surge waves in relatively deep waters.Therefore,we suggested to the local flood risk management that the tide-surge interaction tends to alleviate the flooding risk in the RSRs area around the time of high tide,but aggravate the risk on the rising tide in the Xiyang Trough and on the falling tide in large-scale tidal flats of the southem RSRs area. 相似文献
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为了研究欧洲北海海域的波高全区域概率分布情况,从而为海洋平台等海洋浮式结构物的选址和结构设计提供依据。首先基于Global Waves Statistics(GWS)提供的实测数据,确定典型计算工况的发生概率;同时考虑实测数据中极端波浪环境下的数据缺失导致大波高分布概率偏小的问题,利用三参数Weibull分布确定不同重现期下的极值风速,作为典型计算工况的补充。以不同风速、风向的定常风场为输入项,利用第三代海浪数值模型SWAN模型,对北海全区域波高进行数值模拟。将数值模拟的稳态形式依照各工况的发生概率进行归一化累加处理,认为其结果可以表征全区域的波高概率分布情况。以波高概率分布的计算结果为依据,分析北海海域波浪环境的统计学特征,发现有效波高为7 m以上的大波高频发区在北海北部区域有大范围分布;有效波高4~5 m为北海东北区域的多发海况,极端海况下的有效波高主要分布于7~14 m区间,在地形突变区域的波高发生显著变化。 相似文献