气团分类及其与贵州气候灾害的关系     

李玉柱  吉廷艳  杨利群 《气象》2001,27(11):27-30

通过对贵州3站点历年逐日地面气象要素进行统计分类，分析影响贵州的气团活动规律，并对贵州气候灾害与各类气团活动频数作相关分析。结果表明：贵州气候受多种气团活动的影响，各型气团对应特定的天气特征及一定的环流背景。另外，气候灾害与某些气团活动变化具有很好的相关性，这对进一步研究贵州气候变化及气候灾害成因具有一定的现实意义。  相似文献   

2000年我国天气气候特点   总被引：1，自引：0，他引：1       下载免费PDF全文

陈峪 《气象》2001,27(4):20-24

2000年我国主要天气气候特点为：全国大部地区降水偏少或接近常年，出现全国性干旱，特别是北方地区春夏季遭遇多年来罕见的特大干旱，汛期未发生大范围的暴雨洪涝灾害，秋季黄淮以南地区出现持续连阴雨天气，全国大部分气温接近常年成偏高，持续暖冬态势发生转折，夏季高温酷热，春季北方扬沙和沙尘暴天气异常频繁，登陆我国台风个数偏少，风雹等强对流天气明显偏少。  相似文献   

两种反映东亚夏季风异常的指数的比较研究   总被引：3，自引：3，他引：3  

李峰  孙秀荣等 《气象科学》2001,21(2):178-185

本文利用文献^ [4]提出的一种新的反映东亚夏季风异常的海陆温差指数分析了夏季风异常时我国气温、降水异常以及东亚环流状况，通过分析指出，东亚夏季风偏强，则中国东部夏季气温偏高，江淮干旱，华北多雨；夏季风偏弱则夏季气温偏低，江淮多雨，易涝，华北少雨。通过两种夏季风指数的对比，海陆温差指数能更好地反映东亚夏季环流及天气气候异常。文中还指出，海陆温差指数能更好的反映夏季风异常的原因是它的定义方法更科学，更全面的反映东亚海陆热力差异，既包含了东亚纬向海陆热力差异的影响，又考虑了东亚经向海陆热力差异的因素，并用地表气温和海表温度差来表示海陆热力差，好于以往用海平面气压差来反映海陆热力差。  相似文献   

兰州市气象与污染环境背景综述   总被引：2，自引：0，他引：2  

杨民  王锡稳  李文莉  王鹏祥  王小燕 《干旱气象》2001,19(4):11-15

利用 196 0～ 2 0 0 0年气候统计资料和 1975～ 2 0 0 0年环境监测资料 ,从地理位置、大、小尺度气候背景、兰州市区污染源概况及主要污染物的时空分布等方面 ,分析该市的气候与污染环境背景 ,为兰州市空气质量预报方法和模式的建立提供依据  相似文献   

兰州市冬季空气污染的天气成因分析及浓度预报   总被引：9，自引：0，他引：9  

王宝鉴  许东蓓  蒲彦玲  王鹏祥  王锡稳 《干旱气象》2001,19(4):18-21

兰州是全国冬季大气污染最严重的城市之一 ,通过对污染与天气形势的分析 ,给出了影响冬季兰州污染的天气分型 ;对 3种主要空气污染物TSP、SO2 、NOX 浓度值与同期表征逆温特征的逆温参数及地面气象要素作了统计分析 ,结果表明 :(1)污染物浓度与逆温层厚度呈显著正相关 ;(2 )污染物浓度与平均温度、能见度、风速、总云量、相对湿度成负相关 ,与温差、气压成正相关。最后针对不同天气分型 ,给出了冬半年兰州污染物浓度预报方程 ,经检验预报效果良好  相似文献   

桂林冷冬和暖冬的环流特征分析     

周文志  蒋丽娟 《气象研究与应用》2001,22(4):18-20

采用计算距平积温的方法 ,对桂林 195 7- 1999年冬季各月的旬平均气温进行统计 ,确定冷、暖冬年的标准 ,找出 7个暖冬年 ,9个冷冬年 ,并对这些年冬季的环流特征进行对比分析 ,找出造成桂林冷冬或暖冬的主要环流特征  相似文献   

广西两系杂交稻制种安全期气候分析   总被引：1，自引：0，他引：1  

涂方旭  李雄 《气象研究与应用》2001,22(4):40-43

根据两系杂交水稻制种对气象条件的要求 ,利用广西 80多站的气象资料 ,统计分析了广西各地两系杂交水稻制种的安全期 ,提出了广西杂交水稻安全制种应注意的一些气候问题  相似文献   

青藏高原积雪异常与贵州东、西部旱、寒灾害关系的初步分析     

罗文芳 《高原气象》2001,20(3):340-344

利用 195 8— 1992年的有关资料 ,对青藏高原冬、春季积雪异常与贵州春、夏季不同区域干旱和低温灾害的强弱关系进行了统计分析。结果发现 :青藏高原冬、春季积雪异常与贵州春、夏季不同区域干旱和低温灾害的强弱间存在明显的相关关系 ,高原异常多雪年贵州西部 4月春旱偏重 ;东部夏旱偏重 ,春季低温灾害偏轻。反之 ,高原异常少雪年贵州西部春旱和东部夏旱都偏轻 ,春季低温灾害偏重。  相似文献   

The Tallinn Temperature Series Reconstructed Back Half a Millennium by Use of Proxy Data     

A. Tarand  P.Ø. Nordli 《Climatic change》2001,48(1):189-199

In order to extend the Tallinn temperature series backward in time, three different climate proxies were used. These were: the first day of ice break-up in Tallinn port, a proxy for the mean winter air temperature (December to March); the first day of ice break-up on the rivers in northern Estonia, a proxy for the beginning of spring; and, the first day of the rye harvest, a proxy for the mean air temperature in spring and summer (April to July). On the basis of these proxies the mean winter temperature could be extended back to the year AD 1500, and the spring and summer temperature back to 1731. The series of winter temperatures was analysed for long-term trends and variations on different timescales. The most striking feature is the warming of the winters from about the mid nineteenth century to the present. The warming is especially noticeable over the latest decades. The climate from the start of the series (AD 1500) to the mid nineteenth century was in general somewhat colder, and should be recognised as a part of the Little Ice Age, though the period was intercepted by warmer winters in the first half of the eighteenth century.  相似文献   

Estimation Of Sensible Heat Flux From The Surface Temperature Wave And One-Time-Of-Day Air Temperature Observation, Part Ii – Heterogeneous Surfaces     

K. Blümel 《Boundary-Layer Meteorology》2001,98(2):183-218

By means of the algorithm presented in Part I of this study, the temporal course H(t) and the daily mean H of the sensible heat flux H can be determined from measurements of the thermodynamic surface temperature (as a function of time) and from a one-time-of-day air temperature observation. Inaddition to these temperatures, one needs estimates of daily mean wind speed,of the roughness lengths of momentum and heat transfer, and of the displacementheight. In Part I, the algorithm was derived for areas with homogeneous surfaces,i.e., with uniform surface temperature, and the method was verified with measurements taken during several field campaigns. The root mean square error for the temperature difference between surface and air, in the comparison between measurement and model, amounted to one or two kelvin, and the error of H was 10 to 25 per cent. The method can be used to determine the sensible heat flux from measurements of surface temperatures by satellites, but can also be applied to ground based measurements.In Part II, the procedure is generalized for areas that consist of various surface types (sub-regions) with different surface temperatures, and can be usedwhen only a few (at least one) air temperature measurements per day are available over only one of the different sub-regions. This generalization should allow improvements to the estimates for H(t) by means of temperature measurements from, e.g., NOAA/AVHRR or LANDSAT/TM, taking into account the heterogeneity of the area contained in one METEOSAT pixel. Criteria are given as to whether effective (areal mean) surface temperatures and roughness lengths may be used for the computation of H or if the above mentioned generalized procedure has to be applied. The new algorithm is verified by measurements sampled during the field campaigns EFEDA 91 (Spain) and HIBE 89 (Hildesheimer Börde in Germany), and by using synthetic data (due to the lack of measured data) for one further combined surfacetype [soil and water (lakes)].  相似文献