华东地区测震学指标异常配套和中强震对应关系初探

本文分析了部分地震学指标的物理意义。通过对华东地区1970年以来14个指标的全时间扫描,并使用华东地区Ms≥5.0地震进行对应,结果表明,选取Rm值、b值和AC值进行同步异常分析,能显著提高华东地区的有震报震率,但有漏报。对目前华东地区异常集中区(南黄海及其沿岸地区)进行时间扫描,结果显示该异常集中区未出现同步异常,认为该区域短期内发生中强地震的可能性不大。     

麦棉套作主要虫害发生与气象条件的关系

根据危害棉花最重的棉蚜、棉红蜘蛛、棉铃虫和棉盲蝽象4大害虫的生物学特性、发生时段的气候条件和麦棉套种棉田生态因素,分析了4大害虫大发生的原因及预测预报,并提出了防治措施。     

陕西省地质灾害-气象预报预警系统研制及应用

为了提高地质灾害-气象预报预警工作的自动化程度和产品的质量,文章从计算机系统制作的角度探讨了地质灾害-气象预报预警的方法,论述了陕西省地质灾害-气象预报预警系统的运行环境、软件功能、空间数据库、模型方法等内容,并介绍了陕西省汛期地质灾害-气象预报预警的应用实例。     

Applying the Dynamic Two-Step Method to Forecast Remaining Oil Distribution of Lower Series, Xiaermen Oilfield

INTRODUCTIONThe distribution of remaining oil is often de-scribed qualitatively .The remaining oil distributedinthe whole reservoir is calculated according to thecharacteristics of the space distribution of the satura-tion of remaining oil . Logging data are required toaccomplish this . However , many such projects can-not be completed.This method of studyingremainingoil distribution cannot be quantified efficiently and isunable to provide an effective quantitative forecast ofthe distribu…     

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

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.     

三门峡新一代天气雷达冰雹回波特征分析

利用三门峡新一代天气雷达资料，分析了冰雹天气时雷达产品的特征，并确定冰雹天气预报指标。     

禹州小麦吸浆虫发生程度与气象因素的关系

小麦吸浆虫的发生程度与温度、湿度、日照密切相关。适宜的气温、湿度及日照条件以及2005年土壤中虫源基数较高，是2006年禹州吸浆虫发生严重的主要原因。依据温度条件，建立了吸浆虫发生期预测方程；依据温湿条件，建立了发生量预测方法。此外，还提出了麦播期、孕穗期（蛹期）和抽穗期（成虫期）的防治方法。     

中国冬季气温的集合典型相关分析和预报

以欧亚大陆地面温度、北半球500 hPa高度、热带印度洋SST(sea surface temperature)以及北太平洋SST为预报因子,通过典型相关分析(canonical correlation analysis,简称CCA)建立预报关系,然后用集合典型相关分析预报(ensemble canonical correlation prediction,简称ECC)方法预报中国冬季气温,并分析预报技巧及进行独立样本检验.结果表明,不同的预报因子对各个地区有不同的预报技巧,以欧亚大陆地面温度为预报因子预报技巧较高,而ECC模式对中国冬季气温有更好的预报能力,预报技巧高于任何一个单因子场的CCA预报;采用回归法的集合平均比简单的等权集合平均预报技巧更稳定.     

A radar-based verification of precipitation forecast for local convective storms

Local flash flood storms with a rapid hydrological response are a real challenge for quantitative precipitation forecasting (QPF). It is relevant to assess space domains, to which the QPF approaches are applicable. In this paper an attempt is made to evaluate the forecasting capability of a high-resolution numerical weather prediction (NWP) model by means of area-related QPF verification. The results presented concern two local convective events, which occurred in the Czech Republic (CR) on 13 and 15 July 2002 and caused local flash floods. We used the LM COSMO model (Lokall Model of the COSMO consortium) adapted to the horizontal resolution of 2.8 km over a model domain covering the CR. The 18 h forecast of convective precipitation was verified by using radar rainfall totals adjusted to the measured rain gauge data. The grid point-related root mean square error (RMSE) value was calculated over a square around the grid point under the assumption that rainfall values were randomly distributed within the square. The forecast accuracy was characterized by the mean RMSE over the whole verification domain. We attempt to show a dependence of both the RMSE field and the mean RMSE on the square size. The importance of a suitable merger between the radar and rain gauge datasets is demonstrated by a comparison between the verification results obtained with and without the gauge adjustment. The application of verification procedure demonstrates uncertainties in the precipitation forecasts. The model was integrated with initial conditions shifted by 0.5° distances. The four verifications, corresponding to the shifts in the four directions, show differences in the resulting QPF, which depend on the size of verification area and on the direction of the shift.     

GRAPES模式对长江流域天气预报的检验分析

GRAPES是中国新一代数值天气预报模式。使用GRAPES中尺度模式产品和常规观测资料,分析检验了2005、2006年汛期发生在长江流域的11次主要降水天气过程,得到:GRAPES模式对于长江流域的预报,无论是降水、天气形势还是物理量都有比较强的预报能力;GRAPES模式对级别较大的降水预报容易出现漏报,而不易出现空报,对于10mm以下的雨区预报比较准确,而对于大于50mm的雨区预报,尤其是大于100mm的降水中心存在较大的偏差;对于西太平洋副热带高压的预报比实际情况偏南、偏东;对于水汽通量散度的预报与实际情况比较吻合。