面波、反射波处理软件综合技术服务     

《物探与化探》2006,30(5):467-467

核工业北京地质研究院物化探中心多年来一直从事浅层地震方法研究、地震数据采集系统开发及工程检测技术服务，并能够紧跟工程市场及一些特殊需要，开发合适的产品。  相似文献   

DIAGNOSTIC INVESTIGATION OF SIMULATION BIAS WITH THE GRAPES-MESO MODEL FOR A TORRENTIAL RAIN CASE     

孔荣  王建捷 《热带气象学报(英文版)》2007,13(1):69-72

In this paper, the numerical simulation bias of the non-hydrostatic version GRAPES-Meso (Mesoscale of the Global and Regional Assimilation and Prediction System) at the resolution of 0.18o for a torrential rain case, which happened in May 31st to June 1st 2005 over Hunan province, are diagnosed and investigated by using the radiosondes, intensive surface observation, and the operational global analysis data, and the sensitivity experimental results as well. It is shown in the result that the GRAPES-Meso could reproduce quite well the main features of large-cale circulation and the distribution of the accumulated 24h precipitation and the key locations of the torrential rainfall are captured reasonably well by the model. However, bias exist in the simulation of the mesoscale features of the torrential rain and details of the relevant systems, for example, the simulated rainfall that is too earlier in model integration and remarkable underprediction of the peak value of rainfall rates over the heaviest rainfall region, the weakness of the upper jet simulation and the overprediction of the south-west wind in the lower troposphere etc. The investigation reveals that the sources of the simulation bias are different. The erroneous model rainfall in the earlier integration stage over the heaviest rainfall region is induced by the model initial condition bias of the wind field at about 925hPa over the torrential rainfall region, where the bias grow rapidly and spread upward to about 600hPa level within the few hours into the integration and result in abnormal convergence of the wind and moisture, and thus the unreal rainfall over that region. The large bias on the simulated rainfall intensity over the heaviest rainfall region might be imputed to the following combined factors of (1) the simulation bias on the strength and detailed structures of the upper-level jet core which bring about significant underpredictions of the dynamic conditions (including upper-level divergence and the upward motion) for heavy rainfall due to unfavorable mesoscale vertical coupling between the strong upper-level divergence and lower-level convergence; and (2) the inefficient coupling of the cumulous parameterization scheme and the explicit moisture in the integration, which causes the failure of the explicit moisture scheme in generating grid-scale rainfall in a certain extent through inadequate convective adjustment and feedback to the grid-scale. In addition, the interaction of the combined two factors could form a negative feedback to the rainfall intensity simulation, and eventually lead to the obvious underprediction of the rainfall rate.  相似文献   

DOWNSCALING FORECAST OF MONTHLY PRECIPITATION OVER GUANGXI BASED ON BP NEURAL NETWORK MODEL     

何慧  金龙  覃志年  袁丽军 《热带气象学报(英文版)》2007,13(1):97-100

Variables fields such as enstrophy, meridional-wind and zonal-wind variables are derived from monthly 500 hPa geopotential height anomalous fields. In this work, we select original predictors from monthly 500-hPa geopotential height anomalous fields and their variables in June of 1958 - 2001, and determine comprehensive predictors by conducting empirical orthogonal function (EOF) respectively with the original predictors. A downscaling forecast model based on the back propagation (BP) neural network is built by use of the comprehensive predictors to predict the monthly precipitation in June over Guangxi with the monthly dynamic extended range forecast products. For comparison, we also build another BP neural network model with the same predictands by using the former comprehensive predictors selected from 500-hPa geopotential height anomalous fields in May to December of 1957 - 2000 and January to April of 1958 - 2001. The two models are tested and results show that the precision of superposition of the downscaling model is better than that of the one based on former comprehensive predictors, but the prediction accuracy of the downscaling model depends on the output of monthly dynamic extended range forecast.  相似文献   

MODIS遥感数据格式及使用方法综合分析     

赵文化  单海滨  钟儒祥 《气象与环境科学》2007,30(1):44-48

针对当前MODIS遥感资料推广应用中数据产品使用者和开发者在实际工作中经常遇到数据格式和计算方法方面的问题,分析了MODIS遥感资料的数据格式,以及如何使用定标后的1B数据计算地球视场的光谱反射率和辐射率进而生成各种气象和环境监测应用产品,并给出了一个数据处理应用实例.  相似文献   

室内空气污染及其控制          下载免费PDF全文

冯存 《气象与环境科学》2007,30(4):41-44

在介绍城市室内空气污染的现状、空气污染物的主要来源种类及其对人体健康造成危害的基础上,对目前常用的控制室内空气污染、改善室内空气质量的方法进行了对比分析,并提出了一些建设性意见.  相似文献   

综合评价方法在水质评价应用中的比较研究   总被引：1，自引：0，他引：1       下载免费PDF全文

吴沛  高军省 《气象与环境科学》2007,30(4):71-73

以黄河某取水口监测点19981999年的水质为评价对象,利用灰色关联分析法、模糊综合评价法和物元分析法分别进行了综合评价,结果表明,模糊综合评价和物元分析法的评价结果一致,"中心化"灰色关联法评价结果与上述两方法的评价结果一致.  相似文献   

利用Grads软件绘制离散点要素等值线   总被引：4，自引：1，他引：4       下载免费PDF全文

杨建民  王宗仁  魏建军 《气象与环境科学》2007,30(4):91-93

介绍了用Grads软件绘制离散点气象要素等值线的方法以及Grads软件地图文件的存储格式,并以绘制长治地区雨量等值线图为例, 介绍了用Grads软件绘制离散点要素等值线的具体实现过程和脚本程序原代码.  相似文献   

降水自记纸数据化处理常见问题及解决方法   总被引：1，自引：0，他引：1  

吴名杰 《气象研究与应用》2007,28(Z2):175-176

结合近年来的实际工作经验,详细分析降水自记纸数据化处理过程中的一些常见的问题,并提出相应的解决方法。  相似文献   

自动气象站系统的日常维护方法     

黄丽超  陈国弟 《气象研究与应用》2007,28(Z3):49

介绍了自动气象站系统中各种传感器、采集器、通讯线路、电源系统、计算机等硬件在日常维护中的维护方法.  相似文献   

广西降水自记纸数字化处理技术方法及情况     

程爱珍  黄理 《气象研究与应用》2007,28(Z3):105-107

介绍广西24个基本基准站降水自记纸数字化处理技术及情况.  相似文献