西藏气象指数通用计算系统

利用人机交互方式定义气象指数计算公式,设计了西藏地区常用气象指数计算系统。该系统在统一的操作界面上定义和读取输入气象数据,包括数值预报、实况数据、预报产品等数据及站号、经度、纬度和时间信息,将相应的数据以浮点数代入公式,并支持加、减、乘、除、乘方等数学运算符,三角对数、绝对值等数学函数,且、或、否等逻辑函数,≥、＞、≤、＜、=等判断运算符及自定义的分段函数,能够完成多项气象指数的计算,数据均以通用的MICPAS格式交互存储,在统一的平台上管理气象指数及产品制作,无需预报和服务人员编程即可实现新的气象指数。     

台风“苏力”灾害风险与防御行为效益评估

利用2013年台风“苏力”的监测资料、台风灾情资料、2000年后福建省台风灾害数据库资料和台风“苏力”灾害防御行为效益评估网络问卷调查资料,采用相似分析法的上下限区间估算法,预评估台风“苏力”造成的受灾人口和直接经济损失,并利用台风灾害风险区划方法,对台风“苏力”进行灾害风险区划。结果表明：台风“苏力”预评估结果与实际灾情相符,台风“苏力”灾害风险分布与实际灾情分布大部分一致,风险等级高的县市,实际灾情重,高风险区的大部县市直接经济损失均为1000万元以上。应用台风灾害防御行为效益评估三级指标体系,通过调查统计分析可知,指标体系中的各级各项指数均能较好地反映和评估政府主导、部门联动和公众参与的防御行为效益,政府主导在各类减灾行为中作用最大。     

江门地区雷雨大风天气的气候特征分析

应用江门地区6个气象站的雷雨大风历史观测资料,对江门市雷雨大风天气的气候特征进行了分析。结果表明:江门地区雷雨大风天气具有南部多于北部,沿海多于陆地的明显的地域性特征;雷雨大风年均日数为6.4 d,具有明显的年代际特征;雷雨大风月变化具有单峰型特征,且主要集中在汛期(4—9月);一天中任何时段都有可能出现雷雨大风天气,主峰值在13:00—15:00之间;发生7—8级的雷雨大风最多,占总数的88.9%,且多出现在6—7月;风力达到11级以上的雷雨大风只出现过6次,占总数的1.3%,且均出现在9月份。     

SD-WACCM模式对平流层化学组分的模拟研究

利用美国大气研究中心开发的全球气候模式,对2008年平流层的化学组分(HNO₃、HCl和O₃)进行了模拟研究,并结合了MLS卫星资料进行了对比分析。结果表明,模式可以较好地再现平流层的各化学组分的时空分布状况。并选取了8个区域,将模拟的2008—2009年O₃柱浓度与臭氧监测仪资料对比,结果表明,模式可以较好地再现全球O₃总量的季节变化情况。     

南京市降水化学特征及其来源研究

为了解南京江北地区降水化学特征,分析了2011年3—6月共25个降水日的109个降水样品中的主要水溶性离子,并利用后向轨迹模式探讨了降水气团来源.结果表明:1)南京地区3—6月降水主要受南、北2种气团影响,北方气团降水的主要离子浓度高于南方气团降水.2)海盐示踪法和相关性分析显示,降水中NO₃^-和SO₄^2-主要来自燃煤、工业排放和汽车尾气;Ca²⁺主要来自地壳源;Cl^-主要来自海洋;海洋源和陆源对Mg²⁺和K⁺都有贡献,Mg²⁺的陆源贡献大于海洋源贡献,K⁺受海洋源的影响程度要低于Mg²⁺.3)南、北气团初期降水的各离子浓度高于总降水的各离子浓度,且初期降水的主要离子的富集系数高于总降水.这说明在降水初始阶段,雨水对南京大气中污染物(气态污染物和颗粒物)的云下冲刷去除作用较强,降水的离子浓度最高,局地源对降水离子的贡献较明显.     

Evaluation of the Historical Sampling Error for Global Models

Various ensemble-based schemes are employed in data assimilation because they can use the ensemble to estimate the flow-dependent background error covariance. The most common way to generate the real-time ensemble is to use an ensemble forecast; however, this is very time-consuming. The historical sampling approach is an alternative way to generate the ensemble,by picking some snapshots from historical forecast series.With this approach, many ensemble-based assimilation schemes can be used in a deterministic forecast environment. Furthermore, considering the time that it saves, the method has the potential for operational application.However, the historical sampling approach carries with it a special kind of sampling error because, in a historical forecast, the way to integrate the ensemble members is different from the way to integrate the initial conditions at the analysis time(i.e., forcing and lateral boundary condition differences, and ‘warm start' or ‘cold start' differences). This study analyzes the results of an experiment with the Global Regional Assimilation Prediction System-Global Forecast System(GRAPES-GFS), to evaluate how the different integration configurations influence the historical sampling error for global models. The results show that the sampling error is dominated by diurnal cycle patterns as a result of the radiance forcing difference.Although the RMSEs of the sampling error are small, in view of the correlation coefficients of the perturbed ensemble, the sampling error for some variables on some levels(e.g., low-level temperature and humidity, stratospheric temperature and geopotential height and humidity), is non-negligible. The results suggest some caution must be applied, and advice taken, when using the historical sampling approach.     

南支槽的客观识别方法及其气候特征

基于槽的客观识别方法,提出南支槽强度定义,利用NCEP/NCAR再分析资料500 h Pa高度场识别了1953 2012年冬半年逐日南支槽分布,利用线性趋势、Mann-Kendall突变检测和小波分析等分析了近60年南支槽的气候及其变化特征。结果表明:南支槽年平均活动频次为46.4次,活动最频繁区位于青藏高原中部南侧(90°E 92.5°E),强度自西向东减弱;1月和5月的活动频次最高,1月和2月的强度最大;近60年南支槽活动频次有增加趋势,每年平均增加0.12次,在1960年前后发生突变,之前年平均为39.8次,之后年平均为47.5次;最显著周期为7年。对南支槽不同位置的整层水汽输送通量合成分析表明,南支槽前为水汽输送异常大值区,该水汽输送大值区随南支槽东移而东移。     

OBJECTIVE CLASSIFICATION OF THE TRACKS OF TROPICAL STORMS IN THE BAY OF BENGAL

An objective analysis of tropical cyclone tracks is performed, with which the tracks of 131 tropical storms (TSs) in 1972-2011 are separated into three types that move west-, north- and northwestward, denoted as Types A, B and C, respectively. Type A (21 TSs and 16% of total) has the origin in the southwestern Bay of Bengal, with the TS in a unimodal distribution as its seasonal feature, occurring mainly in autumn; 18 of the 21 TSs (taking up 90%) land mostly on the western Bay coast (west of 85°E); 5% of Type-A TSs attains the wind speed of >42.7 to 48.9 m/s. Type A has little or no effect on Tibet. Type B (74 TSs, 56.6% of the total) has its preferable origin in the central Bay of Bengal, with the TS in a bimodal distribution as its seasonal pattern. This type denotes the travel in the north in spring, with the landfall of 67 of the 74 TSs (accounting for 91%) mainly on the middle coast of the Bay (85° to 95°E), and 19% of the TSs reaching the wind velocity of >42.7 to 48.9 m/s, which exert great effect on Tibet and it is this TS track that gives strong precipitation on its way through this region. Type C (36 TSs, 27.5% of the total) has its main origin in the southern part of the bay, and these TSs are formed largely in autumn, moving in the northwest direction, and 23 of the 36 TSs (64%) land mostly on the western Bay coast, lasting for a longer time, with almost no impact upon Tibet.     

IMPACT OF TROPICAL INTRASEASONAL OSCILLATIONS ON THE PRECIPITATION OF GUANGDONG IN JUNES

The impact of tropical intraseasonal oscillations on the precipitation of Guangdong in Junes and its physical mechanism are analyzed using 30-yr (1979 to 2008), 86-station observational daily precipitation of Guangdong and daily atmospheric data from NCEP-DOE Reanalysis. It is found that during the annually first rainy season (April to June), the modulating effect of the activity of intraseasonal oscillations propagating eastward along the equator (MJO) on the June precipitation in Guangdong is different from that in other months. The most indicative effect of MJO on positive (negative) anomalous precipitation over the whole or most of the province is phase 3 (phase 6) of strong MJO events in Junes. A Northwest Pacific subtropical high intensifies and extends westward during phase 3. Water vapor transporting along the edge of the subtropical high from Western Pacific enhances significantly the water vapor flux over Guangdong, resulting in the enhancement of the precipitation. The condition is reverse during phase 6. The mechanism for which the subtropical high intensifies and extends westward during phase 3 is related to the atmospheric response to the asymmetric heating over the eastern Indian Ocean. Analyses of two cases of sustained strong rainfall of Guangdong in June 2010 showed that both of them are closely linked with a MJO state which is both strong and in phase 3, besides the effect from a westerly trough. It is argued further that the MJO activity is indicative of strong rainfall of Guangdong in June. The results in the present work are helpful in developing strategies for forecasting severe rainfall in Guangdong and extending, combined with the outputs of dynamic forecast models, the period of forecasting validity.     

Swift时代伽马射线暴的观测和理论

伽马射线暴是宇宙中最剧烈的爆发现象之一.Swift卫星的快速定位和Fermi卫星的宽、高能段观测,使得伽马暴的观测可以全波段进行.通过Swift的观测可以对伽马暴现象的本质有进一步的理解,而Fermi卫星提供了一些暴高能光子的辐射数据,为进一步研究暴的辐射机制和伽马暴以及它的余辉提供了有力的依据.介绍了Swift和Fermi卫星发射后一些伽马暴的观测和理论研究进展.