低频图在贵州汛期延伸期强降水预测中的应用

本文基于低频图方法对贵州省2011—2015年59次区域性强降水过程对应的500hPa低频流场进行EOF统计分析,建立贵州省强降水过程的统计预测模型,通过外推试验开展贵州2016年汛期延伸期强降水过程预测,利用回算试验的预测准确率评估该方法的本地适用性。结果表明:影响贵州强降水的6个低频关键区分别为贝加尔湖以西地区(40°~70°N,80°~110°E,1区)、贝加尔湖以东地区(40°~70°N,110°~150°E,2区)、中国西南地区东部至华中地区(25°~40°N,100°~120°E,3区)、西太平洋地区(10°~40°N,120°~140°E,4区)、孟加拉湾地区(0°~25°N,70°~100°E,5区)和中国南海地区(0°~25°N,100°~120°E,6区)。当1、4区出现低频反气旋,3、5区出现低频气旋,2、6区有配合其它关键区的低频系统活动的环流配置为贵州省强降水过程预测模型。2016年汛期强降水过程进行预测试验的预测准确率为39.2%,表明低频图方法在贵州省强降水过程预测中的应用效果较好。     

江苏省城市专业气象服务系统

本文系统介绍了城市专业气象服务系统的设计思路、流程、功能特征和采用的Internet／Intranet（WWW）技术、Asp语言动态页面设计、自动化语音合成等技术,实现了Novell网、NT、9210网（气象卫星综合应用业务系统）、地面气象专线等联结采集实时气象信息和预报信息。系统具有应用、推广价值。     

洪水风险预测业务系统

介绍了在地图信息可化工具Ｍａｐｉｎｆｏ数据库和超文本库的支持下,通过Ｗｉｎｄｏｗｓ的ＯＬＥ自动化技术建成的洪水风险预测业务系统。它以直以形象的电子地图针气象、洪水、水文以及投保户保险信息,包括历史洪以淹实况机地结合起来;并通过与历史洪水受淹数据库、气象－洪水数据库等关联作出洪水风险预测,为有关部门业务 指导决策提供依据。     

Two-dimensional simulations of katabatic layers observed during the GIMEX experiment

The hydrostatic model SALSA is used to simulate a particular event observed during the Greenland Ice Margin EXperiment “GIMEX” (on July 12th, 1991). The time evolution of the large-scale flow was incorporated in the model through time dependent boundary conditions which were updated using the closest upwind sounding. A turbulent scheme for the stable boundary layer and an appropriate parametrization of the surface fluxes implemented in the same model, are used for this study. The simulation results are discussed and compared to the available observations. The computed turbulent fluxes are correctly estimated. The model predicts a mixing zone of about 1500 m high which is in good agreement with tundra site observations. Over the ice cap, the katabatic layer is correctly simulated by the model. Its height of 80–300 m is well estimated. The comparison between the simulation and observations taken at ice cap sites is reasonably valid. The ablation computed along the ice cap corresponds well to the values reconstructed of observations at sites 4 and 9. Finally, a sensibility study to a specified westward geostrophic wind (2 ms⁻¹) shows that the consideration of this latter improves the simulated tundra wind evolution.     

Attributes and uncertainty of dissolved zinc data from a mined catchment

This study evaluated the attributes and uncertainty of non‐point source pollution data derived from synoptic surveys in a catchment affected by inactive metal mines in order to help to identify and select appropriate methods for data analysis/reporting and information use. Dissolved zinc data from the Upper Animas River Basin, Colorado, USA, were the focus of the study. Zinc was evaluated because concentrations were highest relative to national water quality criteria for brown trout, and zinc had the greatest frequency of criteria exceedances compared with other metals. Data attributes evaluated included measurement and model error, sample size, non‐normality, seasonality and uncertainty. The average measurement errors for discharges, concentrations and loadings were 0·15, 0·1 and 0·18, respectively. The 90 and 95% coefficients of confidence intervals for mean concentrations based on a sample size of four were 0·48 and 0·65, respectively, and ranged between 0·15 and 0·23 for sample sizes greater than 40. Aggregation of data from multiple stations decreased the confidence intervals significantly, but additional aggregation of all data increased them as a result of increasing spatial variability. Unit area loading data were approximately log‐normal. Concentration data were right‐skewed but not log‐normal. Differences in median concentrations were appreciable between snowmelt and both storm flow and baseflow, but not between storm flow and baseflow. Differences in unit area loadings between all flow events were large. It was determined that the average concentration and unit area loading values should be estimated for each flow event because of significant seasonality. Time weighted values generally should be computed if annual information is required. The confidence in average concentrations and unit area loadings is dependent on the computation method used. Both concentrations and loadings can be significantly underestimated on an annual basis when using data from synoptic surveys if the first flush of contaminants during the initial snowmelt runoff period is not sampled. The ambient standard for dissolved zinc for all events was estimated as 1600 μg l⁻¹ using the 85th percentile of observed concentration data, with a 90% confidence interval width of 200 μg l⁻¹. Copyright © 1999 John Wiley & Sons, Ltd.     

气象中使用统计检验的几个问题

针对目前在气象和气候要素变化分析中,对相关系数和合成分析使用统计检验存在的若干问题进行评论。认为对相关系数等统计检验,不应该称为“信度检验”,其检验水平也不应该称为“95％置信度”,而应该称为“显性检验”,“显性水平为5％”。     

淮河下游暴雨和非暴雨天气特征分析

选用2003年6月21日到7月11日梅汛期12次暴雨和9次非暴雨过程,对其天气形势、物理量进行了合成平均对比分析;结合副热带高压脊线和地面锋面的位置,利用T213的20：00格点资料,计算和绘制了暴雨日和非暴雨日的合成平均物理量场,分析两类天气的热力和动力条件特征,揭示了它们之间的差异,并在此基础上建立了暴雨短期预报的概念模式。     

1991～2013年发生在西沙永兴岛的台风风暴潮统计特征分析

利用1991～2013年西沙海洋站实测的潮位、气压、风资料,统计分析发生在西沙永兴岛的台风风暴潮特征.统计结果为以后的台风风暴潮增水预报工作提供一定借鉴.统计分析发现：发生在永兴岛的台风风暴潮过程年最大增水值基本在34cm处上下波动,最高预警级别仅为蓝色;最大增水有明显的年际变化特征,预计接下来10a左右发生在永兴岛的台风风暴增水值大体逐年递减;最大增水若与极大天文潮相叠加,在永兴岛可能出现灾害性高潮位;年最大增水有明显的季节特征,在夏季最强,其次为秋季,冬季和春季最弱;台风中心经过时由负压引起的增水较为明显,单峰型、双峰型和振荡型的增水曲线形态均有出现;影响西沙永兴岛的热带气旋的年最大风速年际与季节性变化是导致永兴岛台风风暴潮特征的主要成因之一.     

1965-2012年甘肃平凉地区大雪天气气候特征

利用甘肃平凉地区7个气象自动站1965-2012年的逐日气象整编资料, 统计出近48 a来大雪天气出现次数, 分析了平凉大雪天气的统计特征和气候变化规律, 然后用近14 a历史天气图资料对31次大雪过程进行对比分型, 总结出三类天气形势的特征. 结果表明: 1965-2012年48 a来, 平凉大雪天气出现次数总体变化趋势不显著; 大雪天气多集中出现在秋冬、冬春冷暖季节交替的时期, 冬春交替期间出现次数多于秋冬交替期间, 隆冬季节出现次数相对较少. 平凉产生大雪天气的主要天气形势有三类: 高原低槽型、西风带小槽型和阻高-横槽型, 三类形势中最多的是高原低槽型, 其他两类出现概率相差不到10个百分点.