2013年河北中南部PM_(10)和PM_(2.5)浓度时间变化特征及其影响气象条件分析

对2013年河北省中南部的石家庄、保定、沧州、衡水、邢台和邯郸6个地市市区各站点逐小时PM10和PM2.5监测资料及相应气象资料分析结果表明:6个地市中邢台年污染日数最多,对应其年平均风速最小;沧州的最少,年平均风速最大。各地市各个级别污染日数不同,五、六级重污染天气均集中在10月—次年3月。首要污染物主要是PM10和PM2.5,但比例不尽相同。特殊的地理位置、污染源差异和气象条件的差异造成各地市污染日数、级别的差异。6个地市污染天气过程时段大都相同,区域性污染明显。各地市PM10和PM2.5浓度平均最大值均出现在冬季,PM10浓度平均最小值均出现在夏季,各市PM2.5浓度平均最小值出现的季节不同。6个地市PM10和PM2.5浓度值的月变化趋势相似。不同季节各地市PM10和PM2.5浓度日变化趋势不同,极值出现的时间也各不相同,极值出现的时间与气象条件和人类活动关系密切。秋、冬季各地市PM10和PM2.5浓度日较差多大于春、夏季的。各地市PM10和PM2.5浓度日均值与当地的日均气温、风速、能见度呈负相关关系,与相对湿度呈正相关关系且相关性比较显著。     

Performance of the seasonal forecasting of the Asian summer monsoon by BCC_CSM1.1(m)

This paper provides a comprehensive assessment of Asian summer monsoon prediction skill as a function of lead time and its relationship to sea surface temperature prediction using the seasonal hindcasts of the Beijing Climate Center Climate System Model, BCC_CSM1.1(m). For the South and Southeast Asian summer monsoon, reasonable skill is found in the model's forecasting of certain aspects of monsoon climatology and spatiotemporal variability. Nevertheless, deficiencies such as significant forecast errors over the tropical western North Pacific and the eastern equatorial Indian Ocean are also found. In particular, overestimation of the connections of some dynamical monsoon indices with large-scale circulation and precipitation patterns exists in most ensemble mean forecasts, even for short lead-time forecasts. Variations of SST, measured by the first mode over the tropical Pacific and Indian oceans, as well as the spatiotemporal features over the Niño3.4 region, are overall well predicted. However, this does not necessarily translate into successful forecasts of the Asian summer monsoon by the model. Diagnostics of the relationships between monsoon and SST show that difficulties in predicting the South Asian monsoon can be mainly attributed to the limited regional response of monsoon in observations but the extensive and exaggerated response in predictions due partially to the application of ensemble average forecasting methods. In contrast, in spite of a similar deficiency, the Southeast Asian monsoon can still be forecasted reasonably, probably because of its closer relationship with large-scale circulation patterns and El Niño-Southern Oscillation.     

积云模式下三维闪电分形结构的数值模拟

为了提高积云模式对雷暴云内电过程的模拟能力,将Mansell提出的放电参数化方案在起始击穿阈值和闪电通道感应电荷的分配过程上进行改进,耦合了已有的三维强风暴动力—电耦合模式中。对STEPS(Severe Thunderstorm Electrification and Precipitation Study)试验中一次雷暴个例以及对中纬度地区理想雷暴个例的模拟表明,引入了新放电参数化方案的模式模拟出闪电在发展特性和几何结构上和观测结果有较好的一致性。模拟结果还表明:闪电的类型与极性取决于背景电荷结构以及闪电的起始位置,只有底部存在正电荷堆时才会产生负地闪,且负地闪的起始点均具有较高的负电势。闪电通道上感应电荷的沉降会改变通道附近水成物粒子上携带的电荷,这对雷暴云内复杂电荷结构的形成有重要作用。经统计,模拟的地闪和云闪通道的分形维数平均值分别为1.47和1.69。对起始击穿阈值的敏感性试验表明,随着起始击穿阈值的增大,首次闪电时间会向后推迟,当采用逃逸击穿时首次闪电产生的时间最早;闪电数量随起始击穿阈值的增大而减少;当使用固定击穿阈值(100,150和200 k V)时得到的云地闪比均小于使用逃逸击穿时得到的云地闪比,使用逃逸击穿时得到的云地闪比与观测结果最为接近。     

登陆台风边界层风廓线特征的地基雷达观测

为了分析登陆台风边界层风廓线特征,利用2004—2013年中国东南沿海新一代多普勒天气雷达收集的17个登陆台风资料,采用飓风速度体积分析方法,反演登陆台风的边界层风场结构特征。与探空观测对比表明,利用雷达径向风场可以准确地反演登陆台风的边界层风场结构,其风速误差小于2 m/s,风向误差小于5°。所有登陆台风合成的边界层风廓线显示,在近地层(100 m)以上,边界层风廓线存在类似急流的最大切向风,其高度均在1 km以上,显著高于大西洋观测到的飓风边界层急流高度(低于1 km)。陆地边界层内低层入流强度也明显大于过去海上观测,这主要是由陆地上摩擦增大引起。越靠近台风中心,边界层风廓线离散度越大,其中,径向风廓线比全风速以及切向风廓线离散度更大。将风廓线相对台风移动方向分为4个象限,分析边界层风廓线非对称特征显示,台风移动前侧入流层明显高于移动后侧。最大切向风位于台风移动左后侧,而台风右后侧没有显著的急流特征,与过去理想模拟的海陆差异导致的台风非对称分布特征一致。     

广西“回南天”发生特征及预报着眼点

利用常规MICAPS数据资料,对广西“回南天”发生特征及预报着眼点进行分析研究。结果表明：(1) “回南天”发生在春季低温阴雨后期迅速回暖的转变过程中;(2) 有利“回南天”发生的环流形势共同特征为: 500 hPa我国北支西风气流转为纬向环流,南支槽加深并向东移动,850 hPa有西南急流,地面冷空气减弱,华南静止锋减弱北抬;(3) T lnp探空曲线中,锋区逆温层上限持续下降到850 hPa以下,次日落地消失;(4) 室外空气露点温度高于室内物体表面温度,暖湿空气中的水汽入室遇冷后,在物体表面发生相变凝结;(5) 根据前一天最低气温、当天露点温度及升幅,将“回南天”划分为重度、中度和轻度3个等级;(6)“回南天”有冷性结束和暖性结束两种方式。所得成果可应用到预报业务中。     

汛期强降水过程与月内低频降水的联系及其可能机制

利用1981 2010年中国753站逐日降水观测资料、NCEP/NCAR第二套逐日再分析资料及实况天气图等,选取长江中下游32次大范围持续性强降水过程,分析了该类强降水过程与月内(10~30天)低频降水的联系,并重点讨论了形成该类强降水过程的可能机制。结果表明:(1)长江中下游夏季降水具有显著的月内低频振荡周期。大范围持续性强降水过程基本位于降水低频振荡的峰值阶段。(2)梅汛期(6 7月)月内低频降水峰值位相前期,西太平洋副热带高压(下称西太副高)西伸北进,高低空急流发展加强。在强降水过程发生期,高中低层配置出现垂直方向上的最佳耦合;而台汛期(89月)低频降水峰值位相前期,西太副高东退南撤,低空急流逐渐南落至长江中下游东南部,与高空急流相配合,为强降水过程的发生提供了有利条件。(3)梅汛期东北亚低频位势高度低值区南下,与中纬太平洋西传的低频波列在长江中下游汇合。同时西太副高发展加强,造成了长江中下游降水峰值位相南高北低的低频位势高度分布,有利于强降水过程的发生;台汛期伴随从热带西太平洋到日本海低频波列的西北向移动,菲律宾东北部的低频气旋及其北侧低频反气旋的降水峰值位相分别移至长江中下游和东北亚地区,导致暖湿、干冷气流在长江流域交汇,进而造成强降水过程。(4)菲律宾以东洋面低频强对流可作为梅汛期和台汛期强降水过程发生的前期热带信号,提前低频降水峰值位相10天左右。     

MJO预报研究进展

热带大气季节内振荡 (Madden-Julian oscillation,MJO) 是次季节-季节时间尺度气候变率的支配模态。它不仅对低纬度地区天气气候产生重要影响,还能够通过经向传播和激发大气遥相关波列对中高纬度地区产生影响,是延伸期尺度最重要的可预报性来源。因此,MJO预报是次季节-季节气候预测中极为重要的部分,近年来受到国际学术界广泛关注。该文回顾了MJO预报发展历史,概述了当前国际上主要科研业务机构的MJO预报发展现状。目前基于统计方法和气候模式的MJO预报研究取得了较大进展,特别是多个耦合气候模式和一种基于时空投影方法的统计模型均能够显著提升MJO预报技巧 (有效预报可达20 d以上)。该文还介绍了中国气象局国家气候中心在MJO预报技术发展和业务系统研制方面的新进展,当前基于第2代大气环流模式的MJO业务预报填补了国内空白,技巧为16~17 d,而耦合气候模式试验的技巧已达到约20 d。总体来看,利用耦合模式预报MJO是未来发展的主要方向,其中,面向MJO的模式初始化和集合预报新方法研究将是关注重点。     

强对流天气监测预报预警技术进展

强对流天气预报业务包括监测、分析、预报、预警和检验等方面。对流初生识别、对流系统强度识别和对流天气类型识别等监测技术取得新进展,综合多源资料的监测技术已应用于中国气象局中央气象台业务。对流系统的触发、发展和维持机制等获得了新认识,我国不同类型强对流天气及其环境条件统计气候特征、分析规范及相应业务产品等为业务预报提供了必要基础和技术支撑。光流法、多尺度追踪技术以及应用模糊逻辑方法的临近预报技术等有明显进展,融合短时预报技术得到广泛应用,对流可分辨高分辨率数值 (集合) 预报及其后处理产品预报试验取得了显著成效,基于数值 (集合) 预报应用模糊逻辑方法的分类强对流天气短期预报技术为业务预报提供了技术支撑。强对流天气综合监测和多尺度自适应临近预报技术、多尺度分析技术以及融合短时预报技术、发展并应用模糊逻辑等方法的、基于高分辨率数值 (集合) 模式的区分不同强度等级和极端性的分类强对流天气精细化 (概率) 预报技术等是未来发展的主要方向。     

COMPARISONS OF CIRCULATION ANOMALIES BETWEEN THE DAILY PRECIPITATION EXTREME AND NON-EXTREME EVENTS IN THE MIDDLE AND LOWER REACHES OF YANGTZE RIVER IN BOREAL SUMMER

Based on the NCEP/NCAR reanalysis dataset and in situ meteorological observations of daily precipitation in boreal summer from 1979 to 2008, the features of circulation anomalies have been investigated using the composite analysis for the extreme events and non-extreme events of regional mean daily rainfall(RMDR) occurring over the midand lower- Yangtze valley(MLYV). The extreme RMDR(ERMDR) events are the events at and above the percentile99 in the rearranged time-series of the RMDR with ascending order of rainfall amount. The non-extreme RMDR events are those at the percentiles 90-85 and 80-75 separately. Our results suggest that the threshold value is 25 mm/day for the ERMDR at percentile 99. Precipitation at all the percentiles is found to occur more frequently in the Meiyu rainfall season in MLYV, and the ERMDR events have occurred with higher frequency since the 1990 s. For the percentiles-associated events, the MLYV is under the control of an anomalous cyclonic circulation in the mid- and lower- troposphere with vastly different anomalous circulation at higher levels. However, at both low and high levels, the ERMDR events-related anomalous circulation is stronger compared to that linked to the non-ERMDR events. The dominant sources of water vapor differ between the ERMDR and non-ERMDR events. During the ERMDR events plentiful water vapor is transported from the Bay of Bengal into the MLYV directly by divergence while there is distinctly increased water vapor from the South China Sea(SCS) in non-RMERMDR episodes. The diabatic heating rates < Q1>, < Q2> and< Q1>- < Q2> have their anomalous patterns and are consistent with each other for these percentiles but their strength decreases markedly with the drop of rainfall intensity. For the precipitation at percentiles 99 and 90-85, the sea surface temperature anomalies(SSTA) in the Pacific distribute positively(negatively) in the south(north), and are stronger when the ERMDR emerges, with little or no SSTA as the events at percentile 80-75 occur. Besides, these results suggest that the genesis of the ERMDR event is directly related to intense local circulation anomalies and the circulation anomalies over the Pacific and SCS in tropical to mid-latitudes, and probably linked with the Pacific SSTA closely while the non-ERMDR events are mainly associated with the anomalous circulation on a local basis. The findings here help understand and predict the happening of ERMDR events over the MLYV.