Seasonal and Sub-Seasonal Circulation Anomalies Associated with Persistent Rainy Days in 2018/2019 Winter in Shanghai,China

Shanghai experienced the longest rainy days in 2018/2019 winter since 1988. The physical cause of such an unusual climate condition was investigated through the diagnosis of observational data. From a seasonal perspective, a long persistent rainy winter was often associated with an El Niño condition in the equatorial Pacific. This abnormal oceanic condition induces a remote teleconnection pattern with pronounced low-level southerly anomalies over East China. The wind anomalies transported moisture from tropical oceans and caused persistent rainfall in East Asia. Meanwhile, the local rainfall time series exhibited a strong quasi-biweekly oscillation (QBWO). Three persistent rainy events were identified in the 2018/2019 winter and they all occurred during the active phase of the QBWO. The first two events were associated with a low pressure anomaly west of Shanghai. Southerly anomalies associated with the low pressure system advected high mean moisture into central eastern China, leading to the persistent rainfall there. The third event was associated with a high pressure anomaly in lower troposphere to the east of Shanghai, which induced anomalous southerlies to its west, favoring the occurrence of rainfall in Shanghai. The result suggests the importance of high-frequency variability in affecting seasonal rainfall anomalies.     

新型火箭弹人工影响积云内外电场试验

试验证明:新型火箭弹经过特殊处理后,通过播撒金属或非金属导体粉末,使云内外电场的绝对值减小。云内外电场值越大,新型火箭弹对其电场影响亦越大,反之亦然;新型火箭弹有增雨效果;该成果的应用将为海上舰船、火箭发射以及林区提供有效的主动雷电防御手段,从而有效降低雷电给人类造成的灾害。     

2019年中国气候主要特征及主要天气气候事件

2019年我国气候总体呈现暖湿特征。全国年平均气温较常年同期偏高0.79℃,为1951年以来连续第五暖年,四季气温均偏高,春、秋季明显偏暖;年降水量为645.5 mm,较常年同期偏多2.5%,冬、春、夏季降水偏多,秋季偏少。华南前汛期开始早、结束晚,为1961年以来最长前汛期,雨量为1961年以来次多;西南雨季开始和结束均偏晚,雨量偏少;入梅晚、出梅早,梅雨量偏少;华北雨季开始晚,结束与常年一致,雨量偏少;东北雨季开始早、结束晚,雨量偏多;华西秋雨开始早、结束晚,雨量偏多。2019年,台风生成多,登陆强度总体偏弱,仅台风利奇马灾损重;暴雨洪涝、干旱、强对流、低温冷冻害和雪灾、沙尘暴等气象灾害均偏轻。     

新降雪密度估算方法研究进展

降雪深度预报是北方地区冬季气象服务的重点和难点,新降雪密度估算是降雪深度预报的关键技术。本文回顾了新降雪密度估算中需要着重考虑的气象要素,并对国内外广泛使用的几类新降雪密度估算方法进行了详细的介绍和对比,在此基础上,评述几种估算方法的特点、局限性以及它们之间的承接联系,并对未来新降雪密度估算的发展方向进行了展望。主要结论为:(1)温度、风速、湿度的垂直分布及太阳辐射、降水量是影响新降雪密度的重要气象要素。(2)目前被广泛应用的新降雪密度估算方法有设为常数法、建立公式法、后处理诊断法和基于微物理过程法等四类,四种方法各具特点和局限性,且存在着上下承接关系。(3)较为科学的后处理诊断法和基于微物理过程法有着各自的相对优势也有着难以克服的不足,未来新降雪密度的估算需要在这两种方法的相互促进、共同提高中逐步发展。     

重庆不同天气系统短历时设计暴雨雨型比较研究

利用重庆主城区沙坪坝国家基本气象站1961—2017年逐分钟降雨资料,根据暴雨成因选取大范围区域暴雨型和局地强对流天气型两类短历时暴雨样本,采用PilgrimCordery法推求设计暴雨雨型,并比较两类天气系统下短历时设计暴雨雨型的差异。结果显示:区域暴雨型样本数占总样本数52.6%,60 min历时单峰型和均匀型占比分别为36.7%和26.7%,120 min历时多为单峰型且峰值在中部,180 min历时雨型主要为峰值在前部的单峰型。而强对流天气型样本数占总样本数的47.4%,短历时雨型基本都为峰值在前部的单峰型。相比区域暴雨型,强对流天气型设计暴雨雨型峰值位置出现较早,峰值强度偏强,降雨累积过程更快。60 min、120 min和180 min峰值分别提前5 min、35 min和20 min,10 a重现期峰值强度分别偏强0.5 mm·min~(-1)、0.9 mm·min~(-1)和0.9 mm·min~(-1)。在设计降雨量相同的情况下,强对流天气型平均积水时间更长,积水量更大,导致的内涝问题更突出。     

近25 a气候变化对江苏省粮食产量的影响

利用1986-2010年江苏省63个气象站的常规气象数据和粮食单产统计资料,分析了苏北、苏中、苏南地区和江苏全省三种时间尺度的气候变化特征;基于自助抽样(bootstrap)和一元线性回归的方法,研究了各区和全省粮食产量对作物年(11月一次年10月)、夏粮—秋粮生长季(11月-次年5月和6-10月)和月尺度气候要素的响应;并定量评价了过去25 a气候变化对各区和全省粮食产量的影响以及各气候要素的贡献.结果表明:1)在作物年、夏粮—秋粮生长季以及月尺度上,三区和全省各气候要素均发生了不同程度的变化,且存在一定的时空差异.在不断发展的农业管理措施和技术以及气候的共同作用下,三区和全省粮食单产显著(p＞0.01)增加,其中,全省增加趋势为66.89 kg·hm-2·a-1.2)除苏南地区对作物年尺度上的气候变化响应不显著外,粮食产量对降水的不随时间变化的负响应关系(即随降水的增加而减小,减小而增加)均在不同时间尺度和地区得到了体现,说明降水对这些地区粮食生产的影响十分重要;其中,苏北、苏中和全省粮食产量随作物年降水的增加(减少)而减小(增加),平均速率分别为0.19％·(10 mm)-1、0.09％·(10 mm)-1和0.11％·(10 mm)-1.3)三类模型结果均显示气候变化使得苏北、苏南和江苏粮食产量减小,但结果略有差异,其中,利用月气候要素建立的模型C的结果显示气候变化对粮食单产(总产)的影响最大,其均值分别为-6.51％·(10 a)-1(-11.28×108kg· (10 a)-1)、-3.27％·(10 a)-1(-2.36×108 kg·(10 a)-1)和-1.34％·(10 a)-1(-4.45×108kg·(10 a)-1).另外,为了系统而全面地评估气候变化对粮食产量的影响,考虑月尺度的气候变化的影响是十分必要的.     

Statistical and Comparative Analysis of Tropical Cyclone Activity over the Arabian Sea and Bay of Bengal (1977–2018)

A statistical comparative analysis of tropical cyclone activity over the Arabian Sea and Bay of Bengal (BoB) has been conducted using best-track data and wind radii information from 1977 to 2018 issued by the Joint Typhoon Warning Center. Results have shown that the annual variation in the frequency and duration of tropical cyclones has a significant increasing trend over the Arabian Sea and an insignificant decreasing trend over the BoB. The monthly frequency of tropical cyclones in both the Arabian Sea and the BoB shows a notable bimodal character, with peaks occurring in May and October–November, respectively. The maximum frequency of tropical cyclones occurs in the second peak as a result of the higher moisture content at mid-levels in the autumn. However, the largest proportion of strong cyclones (H1–H5 grades) occurs in the first peak as a result of the higher sea surface temperatures in early summer. Tropical cyclones in the Arabian Sea break out later during the first peak and activity ends earlier during the second peak, in contrast with those in the over BoB. This is related to the onset and drawback times of the southwest monsoon in the two basins. Tropical cyclones in the Arabian Sea are mainly generated in the eastern basin, whereas in the BoB the genesis locations have a meridional (zonal) distribution in May–June (October–November) as a result of the seasonal movement of the low-level positive vorticity belt. The Arabian Sea is dominated by western and northwestern tropical cyclones by that track west and NW, accounting for about 74.6%, whereas the tropical cyclones with a NE track account for only 25.4%. The proportions of the three types of tracks are similar in the BoB, with each accounting for about 33% of the tropical cyclones. The mean intensity and size of tropical cyclones over the Arabian Sea are stronger and larger, respectively, than those over the BoB and the size of tropical cyclones over the North Indian Ocean in early summer is larger than that in autumn. The asymmetrical structure of tropical cyclones over North Indian Ocean is affected by the topography and the longest radius of the 34 kt surface wind often lies in the eastern quadrant of the tropical cyclone circulation in both sea areas. FAN Xiao-ting (樊晓婷), LI Ying (李 英), et al.     

2017年6月10日南京机场强降水过程对航空飞行影响分析

降水对飞行的影响一直是航空气象关注的重点。本文选取2017年6月10日02：30—18：00的一次强降水过程的雨滴谱观测数据,分析了强降水时段雨强与能见度之间的相关关系发现,雨强与能见度呈明显的负相关关系。通过计算平均雨滴谱的各种特征参量,各种粒子对雨强的贡献情况,在雨强较小的区间主要为小粒子,而雨强越大,大粒子的贡献逐渐显现,在最大雨强的区间,出现了三峰形态,3种直径粒子的高浓度对强降水不同阶段的贡献各不相同,对航班飞行的影响也存在差异。使用雨滴参数计算了雨滴对飞机撞击力,分析各类飞机在强降水环境下的飞行受力均达到了10%的动力状况;受力方面各机型在低值区接近一致,有大型机在高值区迅速增加的情况;同样的雨强,小型机受到的力要远小于大型机;各机性在水平方向上的受力情况均较垂直方向大一个量级。