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11.
华北地区夏季降雨量与南海海温长期变化的关系 总被引:6,自引:0,他引:6
比较了华北地区7个站与17个站1951-1997年夏季(6,7,8月)降雨量与气候随时间的变化特征,并对其成因作了探讨。结果表明,用北京、天津、邢台、烟台、郑州、太原和济南等7个站可代表该地区夏季降雨量与气候的多尺度变化特征,过去47a该地区依次经历了湿凉、湿热、湿凉、干热、湿热几个时期,降雨量的长期变化与南海前冬(1-2月)海温成负相关。前冬南海海温偏高,意味着初夏南海地区大气对流低频振动偏弱,南海夏季风爆发较晚,西南季风较弱,夏季西太平洋副高位置偏南,华北地区大气低层北风加强,华北地区夏季少雨,前冬南海海温偏低时情况则相反,考虑冬季(1-2月)南海南温和7-8月西太平洋副高脊线位置(纬度)的影响用均生函数建模,试验结果与用子波变换重构方法考虑华北地区夏季降雨量的变化趋势比较,二者相吻合,预测试验结果与过去3a的实况基本一致。 相似文献
12.
Kohtaro Hosoda Hiroshi Murakami Akira Shibata Futoki Sakaida Hiroshi Kawamura 《Journal of Oceanography》2006,62(3):339-350
This study compares infrared and microwave measurements of sea surface temperature (SST) obtained by a single satellite. The
simultaneous observation from the Global Imager (GLI: infrared) and the Advanced Microwave Scanning Radiometer (AMSR: microwave)
aboard the Advanced Earth Observing Satellite-II (ADEOS-II) provided an opportunity for the intercomparison. The GLI-and AMSR-derived
SSTs from April to October 2003 are analyzed with other ancillary data including surface wind speed and water vapor retrieved
by AMSR and SeaWinds on ADEOS-II. We found no measurable bias (defined as GLI minus AMSR), while the standard deviation of
difference is less than 1°C. In low water vapor conditions, the GLI SST has a positive bias less than 0.2°C, and in high water
vapor conditions, it has a negative (positive) bias during the daytime (nighttime). The low spatial resolution of AMSR is
another factor underlying the geographical distribution of the differences. The cloud detection problem in the GLI algorithm
also affects the difference. The large differences in high-latitude region during the nighttime might be due to the GLI cloud-detection
algorithm. AMSR SST has a negative bias during the daytime with low wind speed (less than 7 ms−1), which might be related to the correction for surface wind effects in the AMSR SST algorithm. 相似文献
13.
Yoshimi Kawai Hiroshi Kawamura Sumio Tanba Kentaro Ando Kunio Yoneyama Norio Nagahama 《Journal of Oceanography》2006,62(6):825-838
In order to investigate the validity of buoy-observed sea surface temperature (SST), we installed special instruments to measure
near-surface ocean temperature on the TRITON buoy moored at 2.07°N, 138.06°E from 2 to 13 March 2004, in addition to a standard
buoy sensor for the regular SST measurement at 1.5-m depth. Large diurnal SST variations were observed during this period,
and the variations of the temperatures at about 0.3-m depth could be approximately simulated by a one-dimensional numerical
model. However, there was a notable discrepancy between the buoy-observed 1.5-m-depth SST (SST1.5m) and the corresponding model-simulated temperature only during the daytime when the diurnal rise was large. The evaluation
of the heat balance in the sea surface layer showed that the diurnal rise of the SST1.5m in these cases could not be accounted for by solar heating alone. We examined the depth of the SST1.5m sensor and the near-surface temperature observed from a ship near the buoy, and came to the conclusion that the solar heating
of the buoy hull and/or a disturbance in the temperature field around the buoy hull would contribute to the excessive diurnal
rise of the SST1.5m observed with the TRITON buoy. However, the temperature around the hull was not sufficiently homogenized, as suggested in
a previous paper. For the diurnal rise of the SST1.5m exceeding 0.5 K, the daytime buoy data became doubtful, through dynamics that remain to be clarified. A simple formula is
proposed to correct the unexpected diurnal amplitude of the buoy SST1.5m. 相似文献
14.
北太平洋阻塞的年际年代际变化及其与SST、遥相关及风暴路径的关系 总被引:2,自引:0,他引:2
利用NCEP/NCAR再分析资料,对1948/1949-1999/2000共52个冬季的北太平洋上空中纬度阻塞异常的气修特征进行了统计分析,小波分析和功率谱分析结果表明该区域阻塞发生的频数具有很明显的3-7年的年际振荡和年代际变化特征。同时2-7年带通平均的小波方差谱分析结果表明阻塞的这种年际变化的振幅存在着缓慢下降的趋势,且气候突变在20世纪70年代,这进一步证明了北太平洋上空的阻塞活动具有年代际变化特征。对强阻塞异常的冬季和弱阻塞异常的冬季分别进行合成分析,结果表明,对于阻塞异常强的冬季,北太平洋西向东北方向加强并分裂成两个中心,而SST异常在中纬度太平洋则对应着典型的PDO型,在赤道地区则为类La Nina型的海温分布。而对于阻塞异常弱的冬季则对应截然不同甚至相反的分布特征,即500hPa高度异常场表现为符号相反的PNA型,风暴路径中心在日界线附近呈纬向型分布。同时SST异常在赤道地区则为典型的El Nino型的海温分布。以上结果揭示出北太平洋阻塞活动的年际变化可能主要与热带海温的遥响应相联系,而年代际变化则主要与中纬度局地的PDO型海温及其通过斜压瞬变波的海-气相互作用有关。 相似文献
15.
中国西部地区气温与太平洋海温的关系 总被引:5,自引:0,他引:5
利用1961~1990年我国西部(110 E以西)155个测站的地面月平均气温和同期太平洋地区月平均海温资料和经验正交函数(EOF)展开方法,研究了中国西部地区各个季节的气温距平时空分布规律以及西部地区气温距平与太平洋海温异常之间的相互联系。结果发现:利用EOF展开得到的特征向量和时间系数能够较好地反映西部地区实际气温异常的时空分布特征。El Nino和La Nina年西部气温距平分布(冬季除外)呈现基本相反的状况,即在El Nino年气温偏暖(冷)的区域,在La Nina年则是气温偏冷(暖)的区域。各季节西部地区的气温变化与太平洋海温异常存在着相互影响和作用。 相似文献
16.
According to statistic analysis on sea surface temperature(SST)anomaly features in theNorth Pacific in winters and springs prior to the summer flood/drought in the middle and lowerreaches of the Yangtze River(hereafter referred to as MLRY),a strong signal SST key area thataffects local flood/drought is put forward,that is the equatorial eastern Pacific.The response ofgeneral circulation in the Northern Hemisphere to SST anomaly in the key area is furtherinvestigated. The low frequency wave train structure of correlation between the eastern PacificSST and the height at 500 hPa in the Northern Hemisphere is also studied,which reflects thedynamic features of teleresponse of local flood/drought at extratropics to tropical SST anomaly.Through introducing SST anomaly in the strong signal area in numerical experiments,the flood inYangtze River Valley is successfully simulated and the similar wave train pattern in the flow field isobtained too.Altogether,the physical picture and dynamic mode of the flood in the Yangtze RiverValley are described in this work. 相似文献
17.
相关方法分析Nino3区SSTA和风应力的关系,发现前期风应力距平场与Nino3区SSTA有很好的相关关系,这种相关性超前8个月时就有所显现。影响Nino3区SSTA的主要风应力区域的位置随风应力超前的时间缩短均向中太平洋扩展。数值试验方法研究不同区域的风应力对热带太平洋SST作用的结果表明,强相关区域的风应力对形成和维持热带太平洋SST的气候场的作用不明显,而对SST的年际变率有重要贡献;相反,强相关区域以外的风应力对形成和维持热带太平洋SST的气候场起重要作用,但是对SST的年际变率所起的作用很不理想。 相似文献
18.
19.
根据1958—1997年越南降水资料和NCEP/NCAR再分析资料,运用小波分析和相关分析等方法分析了越南北部降水特征及其与海温的联系。结果表明,越南北部降水主要集中在夏秋季;越南北部夏秋季降水具有明显的年际、年代际变化特征.并且与热带太平洋海温关系密切。在越南北部夏季多雨年,热带西太平洋海温异常偏高,中东太平洋海温异常偏低;而少雨年,则情况相反。 相似文献
20.
The Application of ARGO Data to the Global Ocean Data Assimilation Operational System of NCC 总被引:11,自引:0,他引:11
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1. Introduction It is well-known that the state of ocean plays very important role in the climate change. But there is a paucity of the ocean observation data. The data distri- bution in the space, time and different components is very inhomogeneous, even in some areas, there are no any observation data. Hence, it brings some diffcul- ties to the scientists to study many problems relevant to ocean. This situation has been being changed since ARGO (Array for Real-time Geostrophic Oceanogra-… 相似文献