袁河流域强降水的天气背景与回波特征分析

为了更好地监测预警江西袁河流域强降水天气,使用江西雨量资料、欧洲中心格点（1°×1°）再分析资料和江西雷达回波等资料,对袁河流域5次大暴雨过程进行分析,结果表明：（1）袁河流域强降水天气形势场是925～700 hPa切变线、低层辐合高层辐散中心、西南气流达到12～18 m·s-1等因素影响;T-LnP图上整层水汽充沛,可降水量在75 mm以上;降水前低层累积不稳定能量CAPE（1000 J/Kg）和对流抑制能CIN（100 J/Kg）。（2）强降水回波的组合反射率CR在50 dBz左右,回波顶高在13 km左右,垂直积分液态水含量在12 kg·m2左右;40 dBz回波顶高在6～7 km,45 dBz回波顶高在6.5 km以下。（3）强降水和回波强度dBZ成正相关,随降水的增强,回波明显增强;当回波强度≤20 dBz时,雨强几乎不变;当回波强度在20～35 dBz之间,雨强随回波强度增加而缓慢加大;当回波强度在35～50 dBz之间,雨强随回波强度加大明显增加;而当回波强度≥50 dBz时,雨强反而趋于下降或维持。研究结果对袁河流域强降水的监测预警和预报服务有指导意义。     

青岛市短时强降水的气候特征和天气系统分型

利用1981—2012年4—10月青岛市7个观测站逐时降水量资料和同期NCEP再分析资料,统计分析青岛市短时强降水的时空分布特征,建立青岛市短时强降水天气概念模型。结果表明：青岛市年短时强降水日数无明显变化趋势;4—10月均有短时强降水出现,7—8月是多发月份;短时强降水的日变化有2个多发时段,主峰在下午到傍晚时段,次峰在凌晨时段;即墨、平度、黄岛为青岛市短时强降水的多发区域,其中黄岛为连续性短时强降水出现最多的区域;青岛市产生短时强降水的天气系统可分为六种类型,西风槽型、横槽型、冷涡型、热带低值系统型、西北气流型、切变线型,其中西风槽型出现次数最多。     

MEASUREMENTS AND MODEL SIMULATIONS OF SURFACE OZONE VARIATIONS AT DIFFERENT BACKGROUND CONCENTRATIONS OF THE PRECURSORS

Ozone photochemical production and loss in very different environments at Waliguan baselinestation and Lin'an background station were simulated by using the measurement data and photo-chemical box model.The results show that net ozone photochemical production rate is negative,about 0.5 ppb/d,at Waliguan baseline sation,because of very low precursor concentrations.Butat Lin'an background station,the net photochemical ozone production is positive,about 2—3 ppb/h.which is very closed with the measurement at Lin'an.That means ozone production was con-trolled by photochemical reactions at Lin'an background station,because of the higher precursorconcentrations.The net destruction rate,at Waliguan Mt.,is not large,so that future increase inanthropogenic emission of reactive nitrogen will lead to larger production rates of steady-state O_3concentration.     

On determining the noon polar cap boundary from SuperDARN HF radar backscatter characteristics

Previous work has shown that ionospheric HF radar backscatter in the noon sector can be used to locate the footprint of the magnetospheric cusp particle precipitation. This has enabled the radar data to be used as a proxy for the location of the polar cap boundary, and hence measure the flow of plasma across it to derive the reconnection electric field in the ionosphere. This work used only single radar data sets with a field of view limited to 2 h of local time. In this case study using four of the SuperDARN radars, we examine the boundary determined over 6 h of magnetic local time around the noon sector and its relationship to the convection pattern. The variation with longitude of the latitude of the radar scatter with cusp characteristics shows a bay-like feature. It is shown that this feature is shaped by the variation with longitude of the poleward flow component of the ionospheric plasma and may be understood in terms of cusp ion time-of-flight effects. Using this interpretation, we derive the time-of-flight of the cusp ions and find that it is consistent with approximately 1 keV ions injected from a subsolar reconnection site. A method for deriving a more accurate estimate of the location of the open-closed field line boundary from HF radar data is described.     

柯坪6.5级地震的部分前兆异常及预报

1991年2月25日柯坪6.5级地震前,震中附近地区的土层地应力、金属摆倾斜仪等多项前兆观测出现异常变化,说明强震发生前近场灵敏度较低的简陋仪器也能观测到明显的前兆反应。分析、认识这些异常对地震短临预报的决策是有益的。     

“95.8”川西大暴雨成因分析

通过对“９５．８”大暴雨过程的全面技术总结，揭示了多种尺度系统间相互作用对产生大暴雨过程的贡献，并指出了云团的发生及其发展源于北方冷空气和南方低空急流持续影响所形成的两个中间尺度垂直环流。     

T639数值产品对影响新疆主要系统的预报检验评估

使用T639L60模式2009—2010年1°×1°分辨率72 h预报时效内的高度场预报产品及ECMWF客观分析场,采用天气学检验方法,对新疆主要天气影响系统(西西伯利亚低槽、乌拉尔大槽、北方横槽和中亚低值系统)数值产品的预报能力进行检验。主要从影响系统生成时间、中心强度、槽线位置、移动速度4个方面进行检验。检验结果表明:T639模式对新疆影响系统具有较好的预报性能,尤其对48h内的预报能力非常高。但因影响系统和预报时效不同其预报能力也有较大差异,对越深厚的低槽系统,T639模式的预报效果越好;T639产品对西西伯利亚低槽和乌拉尔大槽出现时间预报偏早的较多,而北方横槽和中亚低值系统偏晚的多;对西西伯利亚低槽和中亚低值系统槽线位置预报偏快的较多,而乌拉尔大槽和北方横槽偏慢的多。     

Axisymmetry in protoplanetary nebulae – II. A near-infrared imaging polarimetric survey

In an imaging polarimetry survey of candidate post-AGB stars, scattering envelopes are detected around 20 objects. These envelopes represent the final mass-loss phases at the end of the AGB. In all cases, evidence for axisymmetry in the dust density is seen, suggesting that the presence of an axisymmetric outflow may be a ubiquitous phenomenon of the AGB to post-AGB transition. We use the polarized flux images to classify the objects into detached shell, bipolar and unresolved targets. Modelling based on a simple axisymmetric shell geometry supports the contention that post-AGB objects fall into one of two classes that differ in the amount of dust in the circumstellar environment: the detached shells correspond to stars with an optically thin expanding circumstellar envelope (CSE) whereas the bipolar and unresolved targets have optically thick dust structures, probably in the form of discs, which remain bound to the star, rather than partaking in the expansion of the AGB CSE. It is suggested that this bifurcation in morphology is rooted in the presence or absence of a binary companion, which determines whether or not a disc forms. Because the detached shell objects also appear axisymmetric, an additional mechanism for generating the axisymmetry, such as a magnetically shaped outflow, is needed if they do indeed have single star progenitors.     

四川地区短时强降水事件时空演变特征研究

利用四川地区自动气象站逐小时降水观测资料,分析了2010~2019年5~9月短时强降水事件24h累计降水量、频次和强度的时空分布特征,探讨了短时强降水事件发生的频次、极值分布及其与地形、海拔高度等的关系。结果表明：四川地区平均24h累计降雨量基本在50mm以上,盆地东北部、西南部、南部及阿坝州东部甚至超过100mm,最大值出现在广安,达175mm。四川地区短时强降水事件开始时间的日变化特征表现为“V”型结构的夜间峰值位相,事件持续时段多为傍晚至凌晨,时长可达10h以上,最长甚至可持续22h。在强降水事件极值的日变化上,极大值频次和降水量呈单峰结构,在03时达到最大,其后逐渐减小至15时达到谷值,而后再次增大;降水强度呈弱双峰结构,分别在04时和16时达到谷值,13时和18时达到峰值,其日变化呈“增-减-增-减”的特征。四川短时强降水事件与复杂地形有密切的关系,5~6月事件活跃区在四川盆地中部,7月在盆地西部的龙门山脉一带,8月在雅安、乐山附近,9月在盆地北部且频次明显减少;短时强降水事件的最大小时雨强可达80mm以上,出现在7~8月的盆地西部龙门山一带和南部地区。短时强降水事件随着海拔高度的增加,发生频次和日数逐渐减少,海拔2000m以上地区基本无强降水发生日出现( 峨眉山气象站例外)。     

风电场风资源测量与计算的精度控制

根据多个复杂地形风电场观测操作实践和大量观测数据的计算分析,提出了对观测数据和计算质量精度控制的主要措施,包括:复杂地形测风站布设的5个原则,仪器的合理选型和设置;对由于测风仪固有的系统误差和缺测数据的插补订正可能引起的计算误差进行了定量估算,通过对大量实测数据的对比计算显示:①目前普遍采用的进口风速计的相对偏差在1.6%～5.25%之间,由此可导致轮毂高度附近的年平均风功率密度误差在5%以上,最大达13.8%;②在季风气候区、复杂地形和风的年变率较大的地区,进行缺测数据插补订正时,应选取同季或同一主导风向的数据作为插补订正的基础数据,否则可能导致其平均风功率密度相对误差达20%～50%.