江淮流域夏季严重旱涝与大气季节内振荡

利用NCEP/NCAR的再分析资料和中国气象局国家气象中心提供的中国台站降水资料,分析研究了江淮流域大范围严重旱涝的20-70天大气季节内振荡(ISO)特征。结果表明,对应江淮流域严重涝年,200hPa青藏高原北部存在ISO气旋性环流,青藏高原南部存在ISO反气旋性环流;大气ISO流型在对流层中低层850hPa主要是我国长江以南、南海和西太平洋地区为大气ISO反气旋性环流,我国长江以北到日本地区的大气ISO气旋性环流,我国江淮流域位于这两个ISO涡旋西侧偏南气流和偏北气流的交汇处;旱年反之。利用向量经验正交展开方法得到,上述大气ISO环流型分别是旱涝年大气ISO流型的第一模态,并且涝年大气ISO流型的振幅强,旱年振幅弱。进一步分析揭示,严重洪涝(干旱)年分别对应对流层中上层江淮流域及其以北的中高纬度地区有强(弱)的大气ISO活动。中高纬度地区的大气ISO在严重洪涝年向南传播,与低纬度向北传播的大气ISO在江淮流域汇合;而在严重干旱年,虽然大气ISO可向北传播,但向南的传播却很不明显。     

The Northward Shift of Climatic Belts in China During the Last 50 Years and the Corresponding Seasonal Responses

Along the meridian of 105°E, the Chinese region are divided into two parts, east and west. The results show that in the east part of China the temperate extratropical belt, the warm extratropical belt,and the northern subtropical belt shift northward significantly, whereas the middle subtropical belt and the southern subtropical belt have less or no change. As for the northern subtropical belt, the maximal northward shift can reach 3.7 degrees of latitude. As for the warm extratropical belt, along the meridian of 120°-125°E, the maximal northward shift can reach 3-4 degrees. In the west part of China, each climatic belt changes little. Only in the Xinjiang area are the significant northward shifts. Correspondingly, it is found that in the last 50 years the traditional seasons have changed. For Beijing, Hailar, and Lanzhou, in general, summer becomes longer and winter shorter over the last 50 years. Summer begins early and ends late with respect to early 1950s. Contrary to the summer, winter begins la     

The Influence of Vegetation Cover on Summer Precipitation in China： a Statistical Analysis of NDVI and Climate Data

This study provides new evidence for the feedback effects of vegetation cover on summer precipitation in different regions of China by calculating immediate (same season), and one-and two-season lagged correlations between the normalized difference vegetation index (NDVI) and summer precipitation. The results show that the correlation coefficients between NDVI in spring and the previous winter and precipitation in summer are positive in most regions of China, and they show significant difference between regions. The stronger one-and two-season lagged correlations occur in the eastern arid/semi-arid region, Central China,and Southwest China out of the eight climatic regions of China, and this implies that vegetation cover change has more sensitive feedback effects on summer precipitation in the three regions. The three regions are defined as sensitive regions. Spatial analyses of correlations between spring NDVI averaged over each sensitive region and summer precipitation of 160 stations suggest that the vegetation cover strongly affects summer precipitation not only over the sensitive region itself but also over other regions, especially the downstream region.     

长沙城市化进程对局地气候的影响

利用1961—2010年湖南省长沙及周边郊县共5个气象站的逐日气温、降水和相对湿度观测数据,在对各气象要素资料序列进行均一性检验和订正的基础上,以郊县站作为背景场,系统地分析了长沙城市化不同阶段对城市气候的影响。结果表明:受城市化的影响,近50年长沙市区地面气温及其上升速率远高于郊县的,城市热岛效应明显,热岛效应对市区年平均气温的增温贡献率达30%,且主要出现在20世纪90年代之后,四季中城市化贡献率的最大值出现在夏季,秋季和春季的次之,冬季的最小。50年来长沙市区和郊县年降水量差值序列呈显著增加趋势,长沙城市雨岛效应较为显著,且主要发生在春季和夏季,城市化带来的雨岛效应加速了长沙降水结构两极分化,使城市内涝发生的概率进一步增大。50年来长沙市区和郊县年平均相对湿度及其差值的变化趋势均不显著,就全年平均而言,长沙的城市干岛效应并不明显,但近20年来干岛效应显著增强;分季节来看,近50年干岛效应主要发生在夏季。     

夏季北半球中高纬低频振荡诊断分析

自从1971年Madden、Juliar等发现热带太平洋地区的纬向风有40～50天周期性振荡现象，并证明这种纬向风的40—50天准周期振荡在全球热带地区都存在以后，对这种周期振荡的研究一直得到广大气象学家的重视。比如，K．M．Lau等以及Murakami等利用卫星得到的射出长波辐射资料(OLR)进一步研究了热带大气30—60天振荡的传播特性；     

基于青藏高原春季感热异常信号的中国东部夏季降水统计预测模型

使用1980-2014年由青藏高原中东部的地面气象观测台站观测资料计算得到的地表感热通量以及中国东部高分辨率的降水格点资料,在年代际变化和年际变率两个时间尺度上,使用最大协方差分析方法研究了青藏高原春季感热与中国东部夏季6、7和8月降水的关系,基于最大协方差关联因子的时间尺度分解回归分析方法建立了一个降水统计预测模型。青藏高原春季感热的各个关联预报因子与中国东部夏季各月降水的相关分析表明,在年代际成分中,6、7和8月在中国东部绝大部分地区均存在显著相关,方差贡献分别为75.6%、99.9%和79.7%;在年际成分中,相关区域在6月是华南地区、华北沿海地区和江淮流域,7月是华南地区西南部、长江流域、东北地区东南部和黄河中下游地区,8月是东北地区和华南地区西部,方差贡献分别为42.7%、43.4%和32.0%。预测模型的解释方差分析和后报试验检验表明,7月对整个中国东部地区预测效果最好,6月主要在长江以南地区,而8月主要在东北地区和华南地区西部预测效果较好。该预测模型能很好描述青藏高原春季感热与中国东部夏季各月降水的关联性,并对局地降水实现较好的定量预测,具有在短期气候预测业务应用的价值。      

夏季南亚高压与邻近上对流层下平流层区水汽变化的联系

利用1979-2015年ERA-interim月平均再分析资料,分析了夏季南亚高压（SAH）与邻近上对流层下平流层（UTLS）区水汽空间分布特征,讨论了二者的相关关系和因果联系。结果表明:（1）在对流层上层,水汽大值区位于南亚高压的东南侧,并随高度升高向西北倾斜到100 hPa,水汽大值中心基本位于南亚高压中心附近。（2）南亚高压偏强（弱）时,南亚高压东部UTLS区水汽显著偏多（少）,而南亚高压西北部水汽异常不显著。（3）南亚高压偏强（弱）时南亚高压中部UTLS区水汽偏多（少）可能与南亚高压对水汽的抽吸和对水汽输送屏障有关。（4）而南亚高压东南侧UTLS区水汽偏多（少）时南亚高压偏强（弱）可能与深对流输送的水汽潜热释放有关。      

基于四维数据同化技术的千米格距网格化气象数据集:构建及初步应用

利用基于张弛逼近的四维数据同化技术,构建了广东深圳的千米格距网格化气象数据集,由于同化了深圳及周边可获得的高频次观测数据,气象数据集基本准确表现出几种关键气象要素的年际变化和月变化特征。在网格化气象数据集基础上开发了“深圳市细网格气候信息平台”,并通过平台推出了若干精细气候数据产品:精细风玫瑰、逐网格风能等。这些数据产品已经在格点气温预报、风能示范项目选址以及详细规划的自然通风评估中发挥了实际作用。这些探索表明,网格化气象数据集的建立,有望为城市的网格化精细管理和建设提供气象科技支撑。      

北太平洋混合层深度异常及其与中国夏季降水的关系

利用GODAS逐月混合层深度(mixed layer depth,MLD)资料和中国160站逐月降水资料,分析了北太平洋MLD多年平均气候及异常特征,进一步研究了其对中国夏季降水年际异常的影响.结果表明:1)北太平洋30 ～ 40°N之间混合层最深,冬、春季明显大于夏、秋季.2)日期线附近的北太平洋中部海域是各季MLD年际异常共同最显著区域;仅夏季MLD年际异常与ENSO存在一定关系;秋、冬和春季MLD还存在明显年代际异常特征.3)当前冬北太平洋西部及中部MLD加深时,次年黄河下游部分地区、黄淮、江淮及长江以南大部分地区(广西南部除外)降水将偏少;河套地区、内蒙东部及东北大部降水可能偏多.     

Effects of Urbanization on Extreme Warmest Night Temperatures During Summer near Bohai

Many previous studies have focused on the impacts of urbanization on regional mean temperatures. Relatively few have analyzed changes in extreme temperatures. Here, we examine the impact of urbanization on extreme warmest night temperatures from 33 stations in the Bohai area between 1958 and 2009. We compute the Generalized Extreme Value（GEV） distribution of extreme warmest night temperatures and analyze long-term variations in its characteristic parameters. A new classification method based on the factor analysis of changes in extreme night temperatures is developed to detect the efects of urbanization in diferent cities. Of the three parameters that characterize the GEV distribution, the position parameter is the most representative of long-term changes in extreme warmest night temperatures. During the period of rapid urbanization（i.e., after 1978）, all three parameters of the GEV distribution are larger for the urban station group than for the reference station group, so are the magnitudes of their variations, and the urban areas have been experiencing higher extreme warmest night temperatures with larger variability. Diferent types of cities in the Bohai area have all experienced an urban heat island efect, with an average urbanization efect of approximately 0.3 per decade.