西太平洋副热带高压对华北地区降水蒸发差的影响

采用小波相关和交叉小波变换等方法, 分析了西太平洋副热带高压脊线和北界位置变化对华北地区降水蒸发差的影响。结果表明, 2000年以来华北区南部的水资源短缺问题有所缓解, 但以北京为中心的华北区东北部仍处于持续缺水期; 华北地区降水蒸发差与副热带高压脊线及北界位置变化相关密切, 存在年际和年代际尺度的显著相关振荡, 与副热带高压脊线的年代际尺度相关凝聚性最强; 时域中年际尺度相关存在局部化特征, 年代际尺度相关具有阶段性。分析认为, 2000年以来副热带高压脊线和北界位置偏北并维持反气旋型环流, 有利于水汽向华北输送, 使得华北降水增多, 是近年来华北中南部降水蒸发差增大的主要原因; 而东亚季风减弱不利于西南气流的水汽输送, 以及蒙古高原显著增暖导致蒸发增大等因素, 使得华北东北部仍处于持续缺水期。     

北半球平流层月平均环流的若干基本事实

本文用北半球平流层20年月平均的高度资料分析了北半球平流层30、50和100hPa各层平均高度的时、空分布、年变程、月变程以及平均环流的演变特征。分析指出北半球平流层大气环流由冬到夏表现为:由极地涡旋完全转变为极地高压,高层(30 hPa在4月中完成)比低层(100hPa在6月完成)早一个月以上;由夏到冬反之,由极地高压完全转变成极地涡旋,高层(50hPa在8月中完成)比低层(100hPa在10月完成)也提前一个月以上。把这些基本事实与对流层的环流年变相结合,将有助于长期天气预报。     

基于DVB-S数据共享平台的NOAA/ATOVS资料获取、处理与显示系统

充分利用国家科技部大力推行的DVB-S共享数据平台,加强气象卫星遥感数据的广泛应用,特别是发挥卫星垂直探测器(ATOVS)资料在我国数值天气预报以及监测重大灾害性天气系统中的作用。该文介绍了基于DVB-S系统的NOAA/ATOVS资料的处理、分析与显示系统的概况及主要功能,并以2005年7月人们关注的台风“海棠”为个例,展示了利用该系统在监测和分析台风或强对流天气时的独特优势。该系统的建立,将解决省、地气象部门不能实时获取ATOVS资料的问题,并将推动ATOVS资料在气象以及相关部门的实际应用。     

低空航测的系统工程问题分析

当前低空航测工程实践中的许多技术问题,仅靠个别研究是不够的,必须运用系统工程学的方法进行研究。低空航测系统由飞行平台、成像传感器和航测处理等技术部分构成,各部分间存在相互关联、相互制约的关系,必须进行系统分析和系统优化的研究。同时,系统还受外部环境的制约,必须研究如何在不可改变的外部制约条件下,优化系统,达到系统目标的方法。     

太湖14000年以来古环境演变的湖泊记录

本文根据东西太湖短柱岩芯的沉积物的物理、化学、生物指标的综合分析,讨论了该区距今14ka来的古气候变化过程,结果表明14.3-13.3kaBP,太湖水位低,环境指标甚至表现为暴露特征,反映了气候干旱:13.3-12.4kaBP,为偏暖湿的过渡阶段;该孔柱270-280cm (11.5kaBP左右)各类指标均明显反映冷干特征,可能是YoungerDrays事件的记录,与我国东部其它地区有可比性;约10.9-10kaBP,这一时期是整个研究时段内一个较显著的温暖期。表现为还原沉积环境和水位相对较深;约10-7.2kaBP为冷暖交替的过渡带;7.2-5.737kaBP为暖湿气候;5.05kaBP多项分析指标发生突变,反映物源发生显著变化,可能存在沉积间断;表层沉积物则呈现现代环境的特征,西太湖藻类生长茂盛,偏氧化的沉积环境。目前湖泊生产力较高,富营养化程度高,表现为藻型湖泊特征;东太湖有机质来源以东太湖中生长较为茂盛的维管水生植物为主,目前湖泊生产力较低,富营养化程度低,表现为典型的草型湖泊特征。      

台风路径数值预报模式的并行化及路径预报误差分析

国家气象中心台风路径数值预报模式经过串行优化及程序并行, 成功地实现了在国产超级计算机神威上的并行运算, 并可满足业务时效要求。基于并行程序及神威机计算平台的台风路径数值预报业务系统于2002年6月30日投入实时运行, 其初估场与侧边界条件从T106L19模式产品升级为T213L31模式产品 (称为基于T213台风预报系统, 原串行系统称为基于T106台风预报系统)。通过对2002年夏秋季台风路径的检验, 总体来看, 基于T213台风预报系统48 h内的平均路径预报误差小于基于T106台风预报系统的路径预报误差。对西行及西北行登陆的台风, 基于T106台风预报系统的48 h预报好于基于T213台风预报系统的预报。对于转向台风而言, 转向后的预报, 基于T213台风预报系统的预报要好于基于T106台风预报系统的预报, 有效地减小了基于T106台风预报系统对转向台风路径预报的系统性误差:即台风转向后预报路径较实况路径偏西。     

Characteristics and origins of middle Miocene mounds and channels in the northern South China Sea

Numerous elongated mounds and channels were found at the top of the middle Miocene strata using 2D/3D seismic data in the Liwan Sag of Zhujiang River Mouth Basin(ZRMB) and the Beijiao Sag of Qiongdongnan Basin(QDNB). They occur at intervals and are rarely revealed by drilling wells in the deepwater areas. Origins of the mounds and channels are controversial and poorly understood. Based on an integrated analysis of the seismic attribute, palaeotectonics and palaeogeography, and drilling well enco...     

Laboratory observation on spawning,fecundity and larval development of amphioxus (Branchiostoma belcheri Tsingtaunese)

Although amphioxus is widespread in temperate and tropical seas, its population is diminishing because of environmental pollution. To keep the population of this evolutionarily important animal from diminishing, study on its reproduction and development is necessary. The main findings in this study on the spawning and fecundity of the amphioxus reared in laboratory and its larval development are as follows. 1. Water temperature markedly affected the spawning. It spawned only when water temperature reached 21°C. 2. Spawning of the amphioxus in laboratory was markedly extended. Initially, the amphioxus spawned at about 7:00 PM, but spawning time was postponed as spawning days went on. 3. The number of eggs produced by a female ranged from 1400 to 12800, average of 5800. This also represents the fecundity of the amphioxus because it shedded all eggs within the ovary at a time. 4. During the first few months of life of the amphioxus, its growth rate changed seasonally. The growth rate in summer and fall was greater than that in winter. 5. The pelagic larva became a benthic adult after 50 days. 6. The amphioxus reared in laboratory from fertilized eggs could produce fertile eggs and sperms. These findings can be a foundation for measures to address the problem of diminishing amphioxus population. Contribution No. 2274 from the Institute of Oceanology, Chinese Academy of Sciences This work was supported by CNNSF, and Chinese Academy of Sciences.     

Automatic Solar Filament Detection Using Image Processing Techniques

We present an automatic solar filament detection algorithm based on image enhancement, segmentation, pattern recognition, and mathematical morphology methods. This algorithm cannot only detect filaments, but can also identify spines, footpoints, and filament disappearances. It consists of five steps: (1) The stabilized inverse diffusion equation (SIDE) is used to enhance and sharpen filament contours. (2) A new method for automatic threshold selection is proposed to extract filaments from local background. (3) The support vector machine (SVM) is used to differentiate between sunspots and filaments. (4) Once a filament is identified, morphological thinning, pruning, and adaptive edge linking methods are used to determine the filament properties. (5) Finally, we propose a filament matching method to detect filament disappearances. We have successfully applied the algorithm to Hα full-disk images obtained at Big Bear Solar Observatory (BBSO). It has the potential to become the foundation of an automatic solar filament detection system, which will enhance our capabilities of forecasting and predicting geo-effective events and space weather.