基于MICAPS系统的数字化天气图及常规气象资料检索分析系统

介绍了基于“9210工程”和MICAPS系统的资料自动存储、整理、检索和历史天气图分析业务系统——基于MICAPS系统的数字化天气图及常规气象资料检索分析系统，较全面地介绍了该系统高度自动化、设计友好的功能和在业务中的应用。     

GPS定位中卫星坐标计算的切比雪夫多项式拟合法

在GPS定位中需要不断地计算卫星的坐标，实时的卫星坐标是根据接收到的广播星历来计算的，而每次计算卫星坐标都需要占用大量内存，影响计算速度。利用切比雪夫多项式拟合广播星历的卫星坐标，以实现卫星轨道的标准化。通过实例分析了用切比雪夫多项式进行卫星坐标拟合的精度及多项式阶数和时间间隔的合理选择等问题，得出了一些有益的结论。     

沈阳地区沙尘天气分析

本文总结了沈阳地区沙尘天气的时空分布特点，从天气条件、地表自然条件(沙源)两方面分析了沈阳地区沙尘天气的成因，总结了沈阳地区预报沙尘天气时应参考的5个因素。     

临汾"8.26"区域性大暴雨过程分析

利用micaps业务平台常规资料、数值预报产品、卫星云图，对临汾市2003年8月26日区域性暴雨和大暴雨的环流背景、影响系统、热带低压登陆副热带高压东退以及物理量条件进行了诊断分析，探讨了副热带高压进退及台风登陆位置在这次大暴雨过程中起到了非常重要的作用。分析结果在暴雨预报业务及暴雨研究中有一定的指示意义。     

Case study of soil moisture effect on land surface temperature retrieval

Land surface temperature (LST) is an important element of the climate system. Remote sensing methods for estimating LST have been developed in the past and several of them have been implemented at large-scales. Geostationary satellites are of particular interest because they depict the diurnal cycle. Soil moisture has a strong effect on the magnitude of surface temperature via its influence on emissivity; yet, information on soil moisture at large scales is meager. It is of interest to estimate what effect soil moisture has on the retrieval accuracy of surface temperature by methods of remote sensing. In this study, newly developed algorithms to estimate land surface temperature (LST) from geostationary satellites will be applied to GOES-8 observations during the Southern Great Plains 1997 Hydrology Experiment (SGP-97) when surface observations of both soil moisture and surface temperature were made. The ground observations were used to first demonstrate the influence of soil moisture on the diurnal cycle of the surface temperature, its amplitude and the lag in LST maxima. Subsequently, it was established that errors in LST as derived from GOES-8 measurements have a negative correlation with soil moisture, namely, increasing with the decrease of soil moisture.     

鹤壁市雷暴短时监测和临近预报流程

利用卫星云图数字化资料、雷达探测和雷电定位探测资料对雷暴天气进行短时监测 ,并与多种短期预报方法集成 ,建立时效为 3～ 6小时的雷暴临近预报流程 ,从而达到预测强对流天气之目的。     

多普勒雷达数据处理显示系统

多普勒天气雷达目前已经成为对短时强烈天气进行监测的主要手段之一。为了方便资料的处理和分析 ,将科研成果向业务应用转化 ,提高观测资料软件和资料处理能力 ,为预报员和科研人员提供方便 ,我们开发了多普勒雷达资料分析显示系统。该软件是兼原始数据处理、反演、显示功能于一体的雷达数据处理系统 ,有很好的兼容性和可移植性 ,其交互式、多线程、多窗口、多任务的汉化操作界面 ,灵活、简便 ,容易使用。根据用户需要 ,水平风场可用风矢量、风羽、流线或等值线等不同方式表达 ,多种水平变量也可以任意叠加     

Bio-climatic imprints on a Holocene loess palaeosol from China

Micromorphology, heavy minerals, pollen and soil properties were examined in a typical Holocene loess profile in the north of the Loess Plateau, consisting of a palaeosol (locally known as the Ansai palaeosol) underlain by the Malan loess and overlain by modern loess. The palaeosol consists of an upper humus-rich (AB) horizon over a clay-rich (Bt) horizon. The humus-rich horizon is intensely weathered, contains precipitated calcitic material derived from the overlying modern loess, and has both high pollen content and diversity. Clay coatings in the clay-rich horizon indicate formation by eluviation–illuviation of clay. Pedogenetic characteristics and pollen analysis imply that the vegetation during the time of most intensive soil development is likely to have been a warm-temperate forest. A complex interpretation of the loess–palaeosol sequence recognizes several development stages. The phase of soil development, maximum and minimum limiting ages for which are ca. 8800 and 4400 ¹⁴C years BP, involved continuing but reduced loess deposition, and successive Holocene bio-climatic environment overprinted new features on the palaeosol.     

Geochronology and petrogenesis of the post-orogenic Cu–Ni sulfide-bearing mafic–ultramafic complexes in Jilin Province, NE China

Northeastern (NE) China is a well-documented example of a collisional zone characterized by widespread post-orogenic granites and mafic–ultramafic complexes. Based on a study of the Hongqiling and Piaohechuan Cu–Ni sulfide-bearing mafic–ultramafic complexes in central Jilin province, we present geological, petrological, geochemical and geochronological data which indicates their post-orogenic origin.The Hongqiling complex comprises pyroxenite, olivine websterite, lherzolite, gabbro and leucogabbro. Zircon U–Pb SHRIMP analyses on a leucogabbro of the Hongqiling complex yield a weighted mean ²⁰⁶Pb–²³⁸U age of 216±5 Ma. The Piaohechuan complex is composed of gabbro, pyroxenite and dolerite, exposed as dikes. A plagioclase-bearing pyroxenite has a U–Pb zircon weighted mean ²⁰⁶Pb–²³⁸U age of 217±3 Ma, identical to that of the Hongqiling complex. These ages are coeval with the emplacement of A-type granites in the area, but slightly younger than the regional metamorphism (240 Ma) and syn-orogenic granitic magmatism (246±4 Ma). This suggests that these mafic–ultramafic complexes are post-orogenic in origin. The age data also indicated a short period of lithospheric stabilization of about 30 Ma after cessation of orogenic activity.Geochemical investigation indicates that the primary mafic magma was a lithospheric mantle-derived basalt resulting from the upwelling of asthenosphere due to lithospheric delamination during post-orogenic processes. The magmatic source was contaminated by a small amount of crustal material, and subsequent crystal fractionation resulted in the Cu–Ni mineralization.The widespread occurrence of mafic–ultramafic complexes in the Xing'an–Mongolian Orogenic Belt of NE China and in the Altay–Tianshan–Junggar Orogenic Belt of Northern Xinjiang indicates that mafic intrusions are an important magmatic suite that evolved during post-orogenic processes. Portions of this mafic magma could have underplated the lower crust, and served as the heat source for associated late-stage granitic magmas.     

Data Fusion in Distributed Multi-sensor System

This paper presents a data fusion method in distributed multi-sensor system including GPS and INS sensors“ data processing. First, a residual X^2-test strategy with the corresponding algorithm is designed.Then a coefficient matrices calculation method of the information sharing principle is derived. Finally, the federated Kalman filter is used to combine these independent, parallel, real-time data. A pseudolite (PL) simulation example is given.