影响广西的孟湾风暴

统计分析了1973年以来影响广西的孟湾风暴天气气候情况及环流特征,总结出该类天气演变的一般规律及预报着眼点,为提高天气预报准确率提供有益参考。     

美国国家气象中心定量降雨预报

美国国家气象中心自１９６０年开始实施定量降雨预报及其检验方案直至１９９３年３３年间，定量降雨预报从广泛依靠预报员经验的人工方法转变到更多依靠对数值模式的解释和修正３的方法，这是预报技术的一大进步。     

华北地区区域性暴雨综合预报技术

华北地区区域性暴雨综合预报技术是以ＨＬＡＦＳ数值降水预报产品为基础，以物理量诊断为主要依据，综合使用上卫星云图，常规气象资料和国内外数值预报产品等众多信息逐步订正，以人机结合方式制作华北地区区域性暴雨预报的技术。实验表明，该技术对华北暴雨有较好的判断和预报能力，其主要特点是；基本上模拟预报员的预报思维和业务流程制作暴雨预报１，系统分段执行，透明度大，便于改进，也有利于预报员了解暴发生发展的机理和规     

水库流域入库洪水预报误差分析

由于受水库枢纽工程的影响，使得反推计算的入库流量本身就存在较大的误差，从而增加了入库洪水预报模型研制的难度，影响了这时预报精度的考核。通过对全国诸多水电厂水库流域实时洪水预报的实践，对其入库洪水预报中存在的误差原因及解决方法进行了科学的分析和阐述，以指导实时预报。     

悬吊式钢混结构体系抗震试验与分析

悬吊式钢混结构体系是一种新型结构体系，通过一榀1／2比例此种框架的拟静力试验，研究了这种结构在低周反复水平荷载作用下的受力特点、变形和耗能能力以及破坏机理等，试验表明此种框架与传统异形柱框架的性能不同，为此种结构体系的应用提供了试验基础。     

变形监测基准点的稳定性检验

基准点的稳定性评价，是变形观测数据处理时不可忽视的重要内容。该文对基准点构网和不构网2种情况时的数据处理方法进行了探讨。     

第二松花江流域水电厂综合中长期水文预报的分析研究

基于对第二松花江流域上游小山、松山、两江水电站中长期水文预报研究成果，论述了综合中长期水文预报的研究思路和定性预报、定量预报的分析研究方法。该研究通过2002年实践检验，具有较高的预报精度。     

通用洪水预报模型库设计建设研究

在介绍洪水预报模型库的基本概念和性质的基础上，分析了各类洪水预报模型的输入、输出数据类型，规定了各类数据文件格式，设计了洪水预报模型库的通用数据接口，并在中国洪水预报系统中实现了通用洪水预报模型库的建设。     

Study of statistically correcting model CMAQ-MOS for forecasting regional air quality

Based on analysis of the air pollution observational data at 8 observation sites in Beijing including outer suburbs during the period from September 2004 to March 2005, this paper reveals synchronal and in-phase characteristics in the spatial and temporal variation of air pollutants on a city-proper scale at deferent sites; describes seasonal differences of the pollutant emission influence between the heating and non-heating periods, also significantly local differences of the pollutant emission influence between the urban district and outer suburbs, i.e. the spatial and temporal distribution of air pollutant is closely related with that of the pollutant emission intensity. This study shows that due to complexity of the spatial and temporal distribution of pollution emission sources, the new generation Community Multi-scale Air Quality (CMAQ) model developed by the EPA of USA produced forecasts, as other models did, with a systematic error of significantly lower than observations, albeit the model has better capability than previous models had in predicting the spatial distribution and variation tendency of multi-sort pollutants. The reason might be that the CMAQ adopts average amount of pollutant emission inventory, so that the model is difficult to objectively and finely describe the distribution and variation of pollution emission sources intensity on different spatial and temporal scales in the areas, in which the pollution is to be forecast. In order to correct the systematic prediction error resulting from the average pollutant emission inventory in CMAQ, this study proposes a new way of combining dynamics and statistics and establishes a statistically correcting model CMAQ-MOS for forecasts of regional air quality by utilizing the relationship of CMAQ outputs with corresponding observations, and tests the forecast capability. The investigation of experiments presents that CMAQ-MOS reduces the systematic errors of CMAQ because of the uncertainty of pollution emission inventory and improves the forecast level of air quality. Also this work employed a way of combining point and area forecasting, i.e. taking the products of CMAQ for a center site to forecast air pollution for other sites in vicinity with the scheme of model products "reanalysis" and average over the "area".