极端气温

基于改进的EMD的运城市持续极端气温的初步分析

Preliminary Analysis of Sustained Extreme Temperature Events in Yuncheng Using Improved EMD

全球变化对宁夏近40a极端气温变化的影响

Influence of Global Warming to Variation of Extreme Temperature of Ningxia in Recent 40 Years

建瓯市48a四季长短及极端气温变化特征

Change Characteristics of Season Length and Extreme Temperature of Jian'ou City in Recent 48 Years

引入一种计算简便、有效性高，并可代替极大似然法的优良参数估计方法&概率加权法（PWM），利用Gumbel分布对中国极端气温时空变化特征作当前与未来气候的模拟试验。

The simulation tests of temporal-spatial distributions of extreme temperatures over China to now and future climate based on Probability Weighted Moment ( PWM ) are finished by using Gumbel distributions .

极端气温频率与强度的统计模拟试验

The statistical model experiment of frequency and intensity of extreme temperature

江苏地区极端气温振动型态的长期变化特征

The long-term variation features of vibration pattern of extreme temperature over Jiangsu

上海极端气温变化特征及其对城市化的响应

Characteristics of Extreme Temperature Variations and Their Response to Urbanization in Shanghai

河北省11个地级市极端气温的分析和预报

Analysis and Forecast of Extreme Temperature in 11 Cities of Hebei Province

用神经网络试报极端气温

Try forecasting maximum and minimum temperature by using Neural network

全球变暖对区域极端气温出现概率的影响

The influence of the global warming on probabilities of regional extreme temperatures

极端气温影响人体健康。

Extreme temperature can be detrimental to human health .

极端气温对城市人群死亡的影响评估

Evaluation of Extreme Temperature Effect on Urban Human Death

1951～1990年中国极端气温变化分析

Study on Changes of China ′ s Extreme Temperatures During 1951 ~ 1990

近40年来福建省极端气温时空变化特征

The temporal and spatial characteristics of change of extreme temperature in Fujian province

山西省短期乡镇日极端气温预报的实现方法

Study on The Forecast Technique of Town 's Daily Extreme Temperature in Shanxi Province

极端气温条件下空调建筑能耗状况的模拟与分析

Simulation and Analyses on Energy of Air - conditioned Building under Extreme Temperature Conditions

基于统计降尺度的渭河流域未来日极端气温变化趋势分析

Trends of Daily Extreme Air Temperature in the Wei River Basin in the Future

20世纪中国极端气温变化检测及其21世纪展望

Detection and Projections of Extreme Temperature in China for the 20th and 21st Centuries

开封市近半个世纪极端气温变化趋势的小波分析

Wavelet analysis of extreme air temperature change characteristic in recent 50 a in kaifeng city

近几十年我国极端气温变化特征分区方法探讨

The Discussion of the Characteristic Zoning Method of Extreme Temperature in China in Recent Decades

基于概率加权估计的中国极端气温时空分布模拟试验

Simulation Tests of Temporal-Spatial Distributions of Extreme Temperatures over China Based on Probability Weighted Moments Estimation

空间分布方面，极端气温指数在全区基本都呈一致的增大或减小分布。

Spatially , extreme temperatures showed a consistent increasing or decreasing tendency over the whole province .

1957-2000年东北地区春季极端气温变化及其与北极涛动的关系

Variations of Spring Extreme Temperature Indexes in Northeast China and Their Relationships with the Arctic Oscillation

中国近40年极端气温和降水的分布特征及年代际差异

Distributing characteristics and interdecadal difference of daily temperature and precipitation extremes in China for latest 40 years

广西冬季极端气温与大气环流及海温场的遥相关

The Remote Correlation Among the Extreme Temperature of Winter in Guangxi and the Atmospheric Circulation and Sea Temperature Field

极端气温事件在冬季和夏季变化的趋势明显，在春季和秋季变化幅度较小。

The change of extreme temperature events are more distinct in the winter and summer rather than in the spring and autumn .

过去几十年，气候不断增暖，而随着气候增暖，极端气温和降水事件不断复杂多变。

In past several decades , the climate got warmer , resulting in that the extreme temperature and precipitation events changed to be variable and complex .

这对于北向坡面尤其重要，因为当面临干旱和极端气温的时期，地区特有物种极有可能在这样的地区生存下来。

This is especially important on northern-aspect slopes , where characteristic regional species are more likely to persist in an era of increasing dryness and temperature extremes .

最后采用相关法分析了极端气温和降水变化的原因。

Meantime , the reasons of extreme temperature and precipitation changes were also analyzed by correlation coefficient method . Further different time variation periods were analyzed by Morlet wavelet method , and finally M-K mutation detection were used .

本文采用对江苏地区冬夏季逐日极端气温变化的振动模态（分布型）及其长期演变的时空特征进行气候统计诊断分析，得到一些有意义的结论。

In this paper , the favourable conclusions are obtained by means of climatic statistical diagnosis which uses a cluster analysis of wave vector patterns for daily extreme low temperature during winter and daily extreme high temperature during summer in Jiangsu .