Assessment of CMIP3 climate models and projected changes of precipitation and temperature in the Yangtze River Basin, China

The projected changes of precipitation and temperature in the Yangtze River Basin in the 20th Century from 20 models of the CMIP3 (phase 3 of the Coupled Model Inter-comparison Project) dataset are analyzed based on the observed precipitation and temperature data of 147 meteorological stations in the Yangtze River Basin. The results show that all models tend to underestimate the annual mean temperature over the Yangtze River Basin, and to overestimate the annual mean precipitation. The temporal changes of simulated annual mean precipitation and temperature are broadly comparable with the observations, but with large variability among the results of the models. Most of the models can reproduce maximum precipitation during the monsoon season, while all models tend to underestimate the mean temperature of each month over the Yangtze River Basin. The Taylor diagram shows that the differences between modeled and observed temperature are relatively smaller as compared to differences in precipitation. For a detailed investigation of regional characteristics of climate change in the Yangtze River Basin during 2011–2050, the multi-model ensembles produced by an upgraded REA method are carried out for more reliable projections. The projected precipitation and temperature show large spatial variability in the Yangtze River Basin. Mean precipitation will increase under the A1B and B1 scenarios and decrease under the A2 scenario, with linear trends ranging from ?21 to 28.5?mm/decade. Increasing mean temperature can be found in all scenarios with linear trends ranging from 0.15 to 0.48°C/decade. Grids in the head region of the Jingshajiang catchment show distinct increasing trends for all scenarios. Some physical processes associated with precipitation are not well represented in the models.     

An analytical investigation of a sequence of unusual springtime ozone episodes over metropolitan Taichung in 2007

This study investigated the potential factors contributing to a series of ozone (O₃) episodes in the Taichung metropolis, which occurred during the first half of May 2007. Surface data of the meteorological parameters and air pollutant concentrations, supported by Taiwan Environmental Protection Administration, and vertical data monitored via tethersonde sampling were analysed. The analyses showed that local anthropogenic activities and physical factors such as the sea–air interaction were not the main factors contributing to the O₃ events. Excluding these potential causes, the results suggest that, during the aforementioned period, the stronger Mainland High and Pacific Low may have been responsible for the long-range transport of large quantities of O₃ from Mainland China to Taiwan. Furthermore, O₃ photochemical activity also played an important role in the O₃ episodes. The faster consumption of NO lead to a more rapid increase in the O₃ concentration.     

福建省冬季暴雨过程及其环流特征

利用福建省66个气象观测站1960年12月至2008年2月的暴雨资料,分析了福建冬季暴雨的时空特征及主要影响天气系统。结果表明,冬季暴雨主要发生在闽西;福建冬季暴雨主要是南支槽东移、切变线维持和冷空气南下影响所致;冬季暴雨的产生与充沛的水汽、对流不稳定和辐合上升运动密切相关,但大气层结比汛期暴雨要稳定得多;冬季暴雨异常与500 hPa大气环流和赤道中东太平洋海温异常关系密切,它们可能主要通过大气环流的改变引起福建冬季暴雨异常。     

Stochastic 1D site response analysis at a site in central Italy

Site response analysis is strongly influenced by the uncertainty associated to the definition of soil properties and model parameters. Deterministic, or even parametric analyses are unable to systematically assess such uncertainty, since the site characterisation can hardly be sufficiently accurate for a deterministic prediction of site response and alternative approaches are hence needed. A fully stochastic procedure for estimating the site amplification of ground motion is proposed and applied to a case study in central Italy. The methodology allows to take into account the record-to-record variability in an input ground motion and the uncertainty in dynamic soil properties and in the definition of the soil model. In particular, their effect on response spectra at the ground surface is evaluated.     

闽中北前汛期多普勒雷达定量估测降水分析

使用2002、2003年福建中北部27个气象站5—6月自记雨量资料及相应的雷达体扫资料,通过用最优化法统计得出不同区域的Z-I关系,并将统计结果用于2005年5—6月的降水估测。同时利用实时雨量资料采用卡尔曼最优（卡尔曼滤波＋最优插值）、变分等估测方法对2005年几次混合型降水过程进行实时雨量校正,用福建北部武夷山九曲溪流域雨量计检验校正后的雨量值,并对上述几种方法的测量精度进行比较、分析。结果表明：卡尔曼最优、变分法及100km距离范围内的最优化法的过程平均相对误差小于25％,100km距离范围以外最优化法的过程平均相对误差明显增大,Z=300I^1,4估测的误差最大。     

长江流域气候变化高分辨率模拟与RCP4.5情景下的预估

基于长江流域142个气象站1986—2005年月降水和气温数据,评估由MPI-ESM-LR模式驱动的CCLM区域气候模式对长江流域气温和降水的模拟能力,并采用EDCDF法对气温和降水预估数据进行偏差校正。结果表明：该区域气候模式能较好地模拟出长江流域平均气温的季节变化和空间分布特征,但模拟值无论在季节还是年际尺度上均高于观测值。对降水而言,该模式不能较好地模拟出降水的季节分布特征,导致春季、冬季及年模拟值高于观测值,而夏季和秋季模拟值低于观测值。总体而言,该模式对气温的模拟效果相对较好。偏差校正后的预估结果表明：在RCP4.5情景下,长江流域未来（2016—2035年）平均气温相对于基准期（1986—2005年）将升高0.66℃,年降水量将减少2.2%。     

深圳市闪电定位资料误差分析及其优化

利用场地误差优化模式对深圳地区的地闪定位资料进行优化处理。首先对深圳市闪电定位系统进行简单介绍,然后利用改进的传输线模式对真实地表环境下的闪电辐射电磁场进行计算,以分析深圳市闪电定位系统的场地误差,最后基于定位误差和场地误差模式对闪电定位数据进行定位误差订正。结果表明不同方位角上的不规则地形对继后回击电磁场波形具有不同影响,随着表征地形粗糙程度的高度均方根的增加,电场的峰值下降,波形的上升沿时间增加。同时,电场波形上升沿时间也会随着方位角的变化而变化,这可能会给时间到达法的定位带来一定误差。为了验证该算法的合理性,对该系统覆盖的区域进行了闪电定位数据优化精度的时空分布分析和评估。结果表明这种优化方案是可行的、可靠的,优化后的闪电定位精度明显提高。     

1988年8月广东省罕见异常天气的分析

本文分析讨论了1988年8月广东省出现异常天气的主要原因,并在此基础上提出一些可能成为此种反常天气预报线索的相关因子或前期征兆。结论认为,该月没有灾害性热带气旋影响广东,但同时却又出现较长的连阴雨天气,其主要原因是由于东亚大气环流出现异常——中纬西风带和西太平洋副热带高压脊均比常年偏南近十个纬度所造成。在这种类似于春末夏初的大尺度环流形势控制下,热带西北太平洋(包括南海)的局地条件不利于灾害性热带气旋形成,而更东面的海区生成的灾害性热带气旋则全部偏北行或转向;另一方面,季风雨带的位置比常年偏南得多,落在华南。 上述环流系统和天气的异常,与赤道东太平洋海温异常有一定关系,且海温变化超前。该年4—7月东亚西风环流指数的变化也提供了若干前兆。综合考察这些因素,有可能预先对这种环流和天气的异常作出定性的估计。      

断层围陷波观测和应用

断层围陷波的观测特点是利用密集的地震台阵,横跨断层布设测线。可以利用爆炸震源也可以利用余震进行观测,本文分别介绍了实际观测的例子。对大地震破裂带内部的观测,测线位置通常布设在地表破裂带明显、已开挖了地震探槽、断层陡坎出露等地震地质的典型地段。利用爆炸震源激发观测断层围陷波,震源位置应尽量选择在断层带上,震源炸药量大约500kg,测线位置与震源的距离大约5—15km。断层围陷波在新破裂带和老的断层中都能形成和传播,因此该方法可以用于大震破裂带研究,也可以用于城市活断层探测。