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71.
The effects of biological heating on the upper-ocean temperature of the global ocean are investigated using two ocean-only experiments forced by prescribed atmospheric fields during 1990–2007, on with fixed constant chlorophyll concentration, and the other with seasonally varying chlorophyll concentration. Although the existence of high chlorophyll concentrations can trap solar radiation in the upper layer and warm the surface, cooling sea surface temperature (SST) can be seen in some regions and seasons. Seventeen regions are selected and classified according to their dynamic processes, and the cooling mechanisms are investigated through heat budget analysis. The chlorophyll-induced SST variation is dependent on the variation in chlorophyll concentration and net surface heat flux and on such dynamic ocean processes as mixing, upwelling and advection. The mixed layer depth is also an important factor determining the effect. The chlorophyll-induced SST warming appears in most regions during the local spring to autumn when the mixed layer is shallow, e.g., low latitudes without upwelling and the mid-latitudes. Chlorophyll-induced SST cooling appears in regions experiencing strong upwelling, e.g., the western Arabian Sea, west coast of North Africa, South Africa and South America, the eastern tropical Pacific Ocean and the Atlantic Ocean, and strong mixing (with deep mixed layer depth), e.g., the mid-latitudes in winter. 相似文献
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A regional ocean circulation model with four-dimensional variational data assimilation scheme is configured to study the ocean state of the Indian Ocean region (65°E–95°E; 5°N–20°N) covering the Arabian Sea (AS) and Bay of Bengal (BoB). The state estimation setup uses 10 km horizontal resolution and 5 m vertical resolution in the upper ocean. The in-situ temperature and salinity, satellite-derived observations of sea surface height, and blended (in-situ and satellite-derived) observations of sea surface temperature alongwith their associated uncertainties are used for data assimilation with the regionally configured ocean model. The ocean state estimation is carried out for 61 days (1 June to 31 July 2013). The assimilated fields are closer to observations compared to other global state estimates. The mixed layer depth (MLD) of the region shows deepening during the period of assimilation with AS showing higher MLD compared to the BoB. An empirical forecast equation is derived for the prediction of MLD using the air–sea forcing variables as predictors. The surface and sub-surface (50 m) heat and salt budget tendencies of the region are also investigated. It is found that at the sub-surface, only the advection and diffusion temperature and salt tendencies are important. 相似文献
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利用2005年12月7~29日在兰州市皋兰山顶获取的地气相互作用观测资料,对比分析了冬季典型晴天和平均状态下绿化地与裸地地表辐射、能量收支及土壤温、湿度的日变化特征。结果表明:绿化地和裸地太阳总辐射、大气长波辐射很接近,地表短波和长波向上辐射因不同下垫面特征不同而差异较大;地表能量平衡绿化地、裸地均以感热输送为主,土壤热通量和潜热输送很小,尤其是潜热通量,峰值往往不超过10 W.m-2;观测发现绿化地感热比裸地高,这一反常现象值得进一步研究证实;观测期平均特征与晴天比较接近,表明云和降雪的扰动影响有限;绿化地、裸地地表日平均反照率相对稳定,绿化地日平均反照率在0.20~0.28之间变化,裸地在0.25~0.31之间变化,平均值分别为0.21和0.29。 相似文献
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雨季前后珠峰地区近地层气象要素、辐射及能量平衡分量变化特征 总被引:7,自引:7,他引:0
利用架设在珠峰北坡4475m高度处的一套开路涡动协方差测量系统,对曲宗地区的大气状况进行了连续观测.分析了近地层气象要素、辐射平衡各分量和能量平衡各分量在高原雨季前(5月),雨季中(7月)和雨季后(11月)的变化特征.通过分析,发现曲宗地区气温和相对湿度日平均变化均呈单峰单谷型特征,气压则呈双峰双谷型特征,风速日变化为单峰型特征,风速一般在午后突然增大.伴随着雨季的爆发,曲宗地区气温升高,相对湿度增大,气压升高,风速减小.主导风向由东北风转换成西南风.雨季前后,辐射平衡各分量及能量平衡各分量均具有明显的变化趋势. 相似文献
78.
福建省兴化湾有毒重金属的输入输出 总被引:3,自引:0,他引:3
基于对兴化湾大气干、湿沉降,沉积物及河(海)水的取样分析数据,主要考虑河流输入及与外海的物质交换,大气干、湿沉降和沉积作用过程重金属物质的迁移量,估算了兴化湾重金属的输入输出量.结果表明,As、Cr、Pb主要来自于河流输入,其河流输入量分别占总输入量的76.4%,78.2%和68.9%,Hg主要来自于河流输入和与外海的物质交换,Cd主要以大气干、湿沉降为输入方式,该方式的输入量占输入总量的78.8%.沉积作用是5种有毒重金属的主要输出方式,占输出总量的88.2%~100%,潮汐作用可将部分As、Cr、Pb输向外海,但也可能将Hg带入兴化湾,兴化湾Cd污染有加剧的趋势. 相似文献
79.
全新世长江泥沙堆积的时空分布及通量估算 总被引:1,自引:1,他引:0
利用长江中下游、河口及口外、浙-闽沿岸陆架6个主要沉积盆地的40个晚第四纪钻孔及其年代学数据和长江口外、陆架的浅地层剖面,计算了全新世不同阶段各沉积盆地的沉积速率,并进行了近7 000年来泥沙堆积通量的估算。研究发现全新世早期距今10 000年至8 000年间长江口下切古河谷是长江泥沙的主要堆积中心,沉积速率可高达15m/ka。随着海平面上升,全新世中期长江中下游也成为长江泥沙的重要沉积盆地,其中江汉盆地的沉积速率可达10m/ka。近2 000年来,口外、陆架的堆积呈明显增加趋势,反映长江中下游盆地和河口可容空间日益减小。根据沉积速率估算,距今7 000年来长江中下游堆积泥沙约13 074×108 t,同期水下三角洲和陆架的泥沙堆积量约为9 470×108 t。研究还发现全新世以来有两个异常低沉积速率时期:距今8000-7 000年期间上述各沉积盆地沉积速率均显著低,未见长江泥沙的沉积中心; 距今4 000-2 000 年期间长江口呈现低沉积速率。 这两次异常的原因推测与海平面、气候波动事件密切相关。 相似文献
80.
Qiuan Zhu Hong Jiang Xiaohua Wei Changhui Peng Xiuqing Fang Shirong Liu Guomo Zhou Shuquan Yu Weiming Ju 《水文研究》2010,24(4):429-445
The Integrated Biosphere Simulator is used to evaluate the spatial and temporal patterns of the crucial hydrological variables [run‐off and actual evapotranspiration (AET)] of the water balance across China for the period 1951–2006 including a precipitation analysis. Results suggest three major findings. First, simulated run‐off captured 85% of the spatial variability and 80% of the temporal variability for 85 hydrological gauges across China. The mean relative errors were within 20% for 66% of the studied stations and within 30% for 86% of the stations. The Nash–Sutcliffe coefficients indicated that the quantity pattern of run‐off was also captured acceptably except for some watersheds in southwestern and northwestern China. The possible reasons for underestimation of run‐off in the Tibetan plateau include underestimation of precipitation and uncertainties in other meteorological data due to complex topography, and simplified representations of the soil depth attribute and snow processes in the model. Second, simulated AET matched reasonably with estimated values calculated as the residual of precipitation and run‐off for watersheds controlled by the hydrological gauges. Finally, trend analysis based on the Mann–Kendall method indicated that significant increasing and decreasing patterns in precipitation appeared in the northwest part of China and the Yellow River region, respectively. Significant increasing and decreasing trends in AET were detected in the Southwest region and the Yangtze River region, respectively. In addition, the Southwest region, northern China (including the Heilongjiang, Liaohe, and Haihe Basins), and the Yellow River Basin showed significant decreasing trends in run‐off, and the Zhemin hydrological region showed a significant increasing trend. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献