MARS软件在数值预报模式产品数据管理中的应用

该文简单介绍MARS (Meteorological Archival and Retrieval System) 软件的架构及组成部分,并基于MARS软件,介绍了数值预报产品数据管理系统设计与实现。通过在GRIB2数据段对应描述层次类型和气象要素的表格文件中定义新的层次类型和气象要素,在MARS软件解析GRIB2数据所需要查找的相关模板表格文件中定义气象要素对应的产品类型号、要素类别号、要素号、要素名称和要素名称缩写,说明GRIB2数据模板和代码表创建方法。以GRAPES模式产品GRIB2数据为例,实现应用MARS软件管理GRAPES模式产品GRIB2数据。结合存储管理TSM (Tivoli Storage Manager) 软件,研究开发MARS软件和TSM软件连接接口程序,实现数据的直接迁移和回调。以T639L60模式产品为例,通过测试检索性能,MARS软件检索数值预报产品速度超过当前国家级气象数据管理系统数据检索速度1倍,说明MARS软件检索数值预报产品数据具有时效优势。     

Kalman算法在原子时计算中的应用研究

为了寻求改进地方原子时算法的可能性,基于原子钟的离散动态模型,分析研究了Kalman滤波算法在地方原子时计算中的具体应用。采用中国科学院国家授时中心的18台铯原子钟数据,分别计算出基于ALGOS算法和经典Kalman算法的时间尺度。结果表明,两种时间尺度在性能方面极为相似,短期和长期频率稳定度相当。     

Review on physical models of lunar brightness temperature

Brightness temperature is a main index to reflect the energy of microwave radiation of an object. Using lunar brightness temperature data, physical properties of lunar regolith, such as thickness, heat flow and dielectric permittivity, could be interpreted. There are two methods to study brightness temperature distribution of the moon: the first is used to measure lunar brightness temperature by radio observation or spaceborne microwave radiometers, and the second is used to simulate calculation by the physical model. On the basis of the measurements of lunar brightness temperature in the history, this study analyzed the main physical model of lunar brightness temperature, also including its theory and influence factors. The authors concluded that surface and subsurface temperatures of the moon, dielectric properties and layered structure of lunar regolith were the main factors affecting the global brightness temperature of the moon. These factors should be quantified in detail in the future research.     

瑶岭钨矿白基寨花岗岩地质特征及成矿意义

通过地质填图、钻探、土壤地球化学、磁法测量和岩石地球化学等手段,揭露了白基寨花岗岩的空间架构和地质特征,并分析了花岗岩的地球化学特征。该岩体具有高分异性(SiO270%,δEu在0.03～0.09之间),高K2O,且K2O/Na2O1等特征。Ba、Nb、P和Ti相对亏损,Rb、Ta、Th和K等大离子亲石元素富集,稀土元素四分组效应明显,呈海鸥"V"型。花岗岩源岩为泥质岩和硬砂岩混合而成,形成于同碰撞环境。岩体具有边部倾角小,高挥发份元素向上运移明显、强烈流体、熔体相互作用等有利成矿条件特点,在岩体边部成矿流体与碳酸岩盐相互作用形成白钨矿化体。矿区中部凹勺状区域和ZK3002-ZK3001段是找矽卡岩型白钨矿的有利潜在区域。     

基于DPSIR模型的河西走廊农田防护林健康评价

农田防护林健康对维护绿洲生态安全、减少风沙灾害、改善局地小气候、提高农作物产量等具有重要的意义。综合运用熵值法和层次分析法确定指标权重,基于驱动力-压力-状态-影响-响应（DPSIR）模型对河西走廊农田防护林健康状况进行了评价。结果表明：（1）河西走廊农田防护林整体上处于亚健康水平,瓜州县、酒泉市肃州区、嘉峪关市和临泽县的农田防护林处于健康水平,民勤、民乐、高台和阿克塞的农田防护林处于不健康水平,其余区县农田防护林处于亚健康状态。（2）林带连续性、疏透度、修枝情况和地区经济收入是驱动区域农田防护林健康状况的关键因素。     

Numerieal prediction of storm surge in the Qingdao area under the impact of climate change

A typhoon-induced storm surge simulation system was developed for the Qingdao area, including a typhoon diagnostic model for the generation of wind and pressure fields and a 2D Advanced Circulation (ADCIRC) model for simulating the associated storm surge with a 200 m resolution along the Qingdao coastline. The system was validated by an extreme surge event Typhoon Mamie (8509) and the parameters of Typhoon Mamie were used to investigate the sensitivity of typhoon paths to Qingdao storm surges with four selected paths: the paths of Typhoons Mamie (8509), Opal, 3921 and 2413, the selection being made according to their relative position to Qingdao. Experiments based on the Typhoon Mamie (8509) storm surge were also conducted to study the possible influences of future climate changes, including the sea level rise and sea surface temperature (SST) rise, on storm surges along the Qingdao coast. Storm surge conditions under both present day and future (the end of the 21st century) climate scenarios associated with the four selected paths were simulated. The results show that with the same intensity, when typhoons follow the paths of 3921 and 2413, they would lead to the most serious disasters in different areas of Qingdao. Sea level and SST affect storm surges in different ways: sea level rise affects storm surge mainly through its influence on the tide amplitude, while the increased SST has direct impact on the intensity of the surges. The possible maximum risk of storm surges in 2100 in the Qingdao area caused by typhoons like Mamie (8509) was also estimated in this study.     

The potential of ocean acidification on suppressing larval development in the Pacific oyster Crassostrea gigas and blood cockle Arca inflata Reeve

We evaluated the effect of pH on larval development in larval Pacific oyster （Crassostrea gigas） and blood cockle （Arca inflata Reeve）. The larvae were reared at pH 8.2 （control）, 7.9, 7.6, or 7.3 beginning 30 min or 24 h post fertilization. Exposure to lower pH during early embryonic development inhibited larval shell formation in both species. Compared with the control, larvae took longer to reach the D-veliger stage when reared under pH 7.6 and 7.3. Exposure to lower pH immediately after fertilization resulted in significantly delayed shell formation in the Pacific oyster larvae at pH 7.3 and blood cockle larvae at pH 7.6 and 7.3. However, when exposure was delayed until 24 h post fertilization, shell formation was only inhibited in blood cockle larvae reared at pH 7.3. Thus, the early embryonic stages were more sensitive to acidified conditions. Our results suggest that ocean acidification will have an adverse effect on embryonic development in bivalves. Although the effects appear subtle, they may accumulate and lead to subsequent issues during later larval development.     

移动轨迹聚类方法研究综述

轨迹数据是人类移动行为的表征,能够映射出人的出行模式和社会属性等信息。怎样有效挖掘轨迹数据蕴藏的人类活动规律一直是研究的热点。通过轨迹聚类发现行为相似的类簇,从而探究群体的移动模式是轨迹挖掘和深度应用常见的方法之一。本文首先根据轨迹数据的特点,将轨迹数据模型分为轨迹点模型和轨迹段模型,并据此定义相应的相似性度量：空间相似性度量和时空相似性度量;然后,对两类模型的聚类方法进行了综述,并总结不同聚类算法的优缺点,以期为不同应用选取聚类算法提供科学依据;最后对移动轨迹数据聚类方法研究的发展趋势进行了讨论。     

Analysis of the microseismicity characteristics in landslide dam failure flume tests: implications for early warning and dynamics inversion

Landslides - Determining the premonitory and dynamic characteristics of landslide dam failures can provide an early warning as well the identification of the evolution of the failure process, and...