低剖面紧凑的圆盘加载单极子天线

本文介绍了一种低剖面小型化圆盘加载单极子天线.通过盘加载的方式,在中心频率5.8 GHz处,首先将单极子天线的剖面从大约12.9 mm（0.25λ₀）降低到2 mm（0.039λ₀）,实现了低剖面的特性.加载在单极子天线上方的圆盘,尺寸大概为21 mm（0.41λ₀）,因此天线具有结构紧凑的特点.接着,为了使天线具有良好的匹配,在加载圆盘四周加入4个接地通孔,并且在馈电端口加入集总电感.最终,天线在中心工作频率5.8 GHz处实现了反射系数-15 dB的匹配性能.     

顶点Pk覆盖问题的研究综述

顶点覆盖问题是经典的NP完全问题,在排序、计算机网络等现实生活中有许多的应用.近几年来,许多研究者开始探究它的推广形式——顶点P_k覆盖（VCP_k）问题,即寻找一个顶点子集,从拓扑结构图中删除后使得剩下的顶点导出的子图不包含P_k路,其中P_k是指包含k个顶点的路.本文简单介绍了VCP_k问题的应用背景,归纳了它在近似算法、精确算法、参数化算法3个方面的主要研究进展,并分析了一些主要的方法和技巧.在此基础上,对VCP_k问题及其相关问题的研究前景进行了展望.     

基于特征模理论的低剖面MIMO立方体天线

基于特征模理论,给出了一种适用于室内环境的16端口多输入多输出（MIMO）立方体天线设计.首先利用特征模理论在对一个矩形金属片进行模式分析的基础上,同时激励金属片的不同模式,设计了一款工作于5.150~5.875 GHz的高隔离度的4端口MIMO天线单元,并引入人工磁导体（AMC）表面代替原天线的地板,大大降低了天线的剖面.进一步地,围绕立方体环绕一周组成4×4端口的MIMO立方体天线,在较小的空间内实现了天线的多端口与多极化.仿真和测试结果表明：天线在5.150~5.875 GHz频段内端口反射系数S_ii<-10 dB,端口间隔离度|S_ij|>20 dB.     

具有异步控制器的离散马尔可夫跳变Lur'e系统的稳定性和l2增益性能分析

本文研究了一类具有异步控制器的离散马尔可夫Lur''e跳变系统的稳定性及l₂增益性能.通过引入隐马尔可夫模型（HHM）来描述所设计的控制器和原始系统之间出现的异步现象.利用线性矩阵不等式（LMI）方法分析了闭环系统的稳定性和l₂增益性能.然后提出了一个充分条件使得闭环系统随机稳定,并使得从扰动到系统输出的l₂增益达到最小.同时,通过求解给定条件来设计一个由线性状态反馈和扇形有界非线性输出反馈组成的异步控制器.最后,给出了一个数值仿真例子来验证所提方法的有效性.     

不确定奇异系统的时滞相关鲁棒H∞滤波器设计

为了设计出全阶的滤波器,同时使得滤波误差动态系统是正则的、无脉冲的,并且满足一定的H_∞性能指标,研究了连续奇异系统的全阶H_∞滤波器的设计问题.利用Lyapunov-Krasovskii泛函及二次型的积分不等式方法获得了滤波误差动态系统的H_∞性能时滞相关的判据,给出了奇异系统的鲁棒H_∞滤波器存在的时滞依赖的充分条件.最后的数值例子说明了该方法的有效性.     

欺骗攻击下一类神经网络的自适应事件触发H∞滤波

本文主要研究了在欺骗攻击下的离散时间神经网络的H_∞滤波器设计问题.考虑到被控系统和滤波器在一个易受外部网络攻击且带宽有限的共享通信网络上进行信息交换,本文提出了自适应事件触发机制来减轻数据传输的通信负担.此外,由于通信网络的开放性和互通互联,通过共享通信网络传输到滤波器的实际输入信息可能会被攻击者注入的虚假信息所改变.在此基础上,利用构造Lyapunov-Krasovskii泛函、线性矩阵不等式等处理技术,本文给出了滤波误差系统渐近稳定的充分条件,并且设计了满足预设性能的H_∞滤波器,最后通过一个仿真实例验证了所提方法的有效性.     

具有遗忘时滞的静态神经网络的H∞状态估计

本文研究了具有遗忘时滞的静态神经网络的H_∞状态估计问题.首先降低了时变时滞可微的条件,然后通过构造合适的Lyapunov-Krasovskii泛函,设计保H_∞性能的状态估计器,使得误差系统实现全局渐近稳定.最后,借助Matlab中线性矩阵不等式工具箱进行数值仿真,验证了结论的有效性.     

模糊多智能体系统的H∞一致跟踪控制

本文研究非线性多智能体系统在有向拓扑下的领导跟随H_∞一致性问题.首先,提出一种新的多项式模糊建模方法来描述由领导者与跟随者构建的偏差动态系统.然后,设计一致控制协议使跟随者渐近跟踪领导者的轨迹.基于多项式李雅普诺夫函数技术,提出松弛的渐近一致的充分条件并确保存在外界干扰时多智能体系统具有H_∞抑制性能.将导出的条件转化为平方和形式并能够进行数值求解.最后,给出一个实例来验证所提出的一致控制协议的有效性.     

一次强降水风暴回波合并前后双偏振特征分析

基于济南S波段双偏振多普勒天气雷达探测数据,结合卫星、探空和地面实况资料,对2020年8月6日发生在山东曲阜一带的强降水风暴合并前后双偏振参量特征和微物理特征进行分析。结果表明:(1)云带之间产生多次合并,合并后风暴加强发展,产生较大的分钟降水量和累计降水量。(2)新生单体最典型的双偏振特征是具有大的Z_DR和CC,以少许液态粒子为主;新生单体迅速发展过程中上升气流强度明显加强,出现明显的K_DP柱和Z_DR柱,液态粒子浓度明显增大并出现偏大的液态粒子。(3)合并后发展的主要特征是,风暴顶高、强回波区顶高和K_DP柱明显增高,-10℃层高度以下,特别是在风暴底层K_DP值明显增大。(4)合并之后风暴发展最典型的微物理特征是,-10℃层高度之下液态雨滴粒子浓度迅速增大,-10℃层高度之上冰晶或霰粒子层的厚度明显增大。发展旺盛的风暴中、低层有丰富的液态水,风暴高层含有丰富的冰相粒子,从而导致风暴产生高强度降水。     

太平洋混合层厚度(dml)年际异常的初步分析

用太平洋区域30a逐月混合层厚度(d_ml)及浅层海温(T_s)距平资料,分析了20°S以北太平洋区域d_ml年际变率的地理分布和季节变化,得到两个纬向d_ml高变率带,它们分别位于北太平洋(45°N附近)和赤道中、西太平洋。重点分析了赤道太平洋d_ml高变率带,并对其上混合层气候位置、d_ml年际异常与ElNino事件关系及伴随强ElNino事件的d_ml正异常东传等作了初步分析。     

CHARACTERISTICS AND TRENDS OF CLIMATIC EXTREMES IN CHINA DURING 1959–2014

The spatial and temporal variations of daily maximum temperature(Tmax), daily minimum temperature(Tmin), daily maximum precipitation(Pmax) and daily maximum wind speed(WSmax) were examined in China using Mann-Kendall test and linear regression method. The results indicated that for China as a whole, Tmax, Tmin and Pmax had significant increasing trends at rates of 0.15℃ per decade, 0.45℃ per decade and 0.58 mm per decade,respectively, while WSmax had decreased significantly at 1.18 m·s~(-1) per decade during 1959—2014. In all regions of China, Tmin increased and WSmax decreased significantly. Spatially, Tmax increased significantly at most of the stations in South China(SC), northwestern North China(NC), northeastern Northeast China(NEC), eastern Northwest China(NWC) and eastern Southwest China(SWC), and the increasing trends were significant in NC, SC, NWC and SWC on the regional average. Tmin increased significantly at most of the stations in China, with notable increase in NEC, northern and southeastern NC and northwestern and eastern NWC. Pmax showed no significant trend at most of the stations in China, and on the regional average it decreased significantly in NC but increased in SC, NWC and the mid-lower Yangtze River valley(YR). WSmax decreased significantly at the vast majority of stations in China, with remarkable decrease in northern NC, northern and central YR, central and southern SC and in parts of central NEC and western NWC. With global climate change and rapidly economic development, China has become more vulnerable to climatic extremes and meteorological disasters, so more strategies of mitigation and/or adaptation of climatic extremes,such as environmentally-friendly and low-cost energy production systems and the enhancement of engineering defense measures are necessary for government and social publics.     

ANALYSIS OF “BIMODAL PATTERN” STORM ACTIVITY CHARACTERISTICS OF THE BAY OF BENGAL

Storms that occur at the Bay of Bengal (BoB) are of a bimodal pattern, which is different from that of the other sea areas. By using the NCEP, SST and JTWC data, the causes of the bimodal pattern storm activity of the BoB are diagnosed and analyzed in this paper. The result shows that the seasonal variation of general atmosphere circulation in East Asia has a regulating and controlling impact on the BoB storm activity, and the “bimodal period” of the storm activity corresponds exactly to the seasonal conversion period of atmospheric circulation. The minor wind speed of shear spring and autumn contributed to the storm, which was a crucial factor for the generation and occurrence of the “bimodal pattern” storm activity in the BoB. The analysis on sea surface temperature (SST) shows that the SSTs of all the year around in the BoB area meet the conditions required for the generation of tropical cyclones (TCs). However, the SSTs in the central area of the bay are higher than that of the surrounding areas in spring and autumn, which facilitates the occurrence of a “two-peak” storm activity pattern. The genesis potential index (GPI) quantifies and reflects the environmental conditions for the generation of the BoB storms. For GPI, the intense low-level vortex disturbance in the troposphere and high-humidity atmosphere are the sufficient conditions for storms, while large maximum wind velocity of the ground vortex radius and small vertical wind shear are the necessary conditions of storms.     

LOW-FREQUENCY CIRCULATION AND EXTENDED-RANGE FORECAST IN CONNECTION WITH AUTUMN EXTREME HEAVY RAINFALL PROCESS IN HAINAN

Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d.     

AN ATTRIBUTION ANALYSIS OF CHANGES IN POTENTIAL EVAPOTRANSPIRATION IN THE BEIJING–TIANJIN–HEBEI REGION UNDER CLIMATE CHANGE

Based on the measurements obtained at 64 national meteorological stations in the Beijing–Tianjin–Hebei (BTH) region between 1970 and 2013, the potential evapotranspiration (ET0) in this region was estimated using the Penman–Monteith equation and its sensitivity to maximum temperature (Tmax), minimum temperature (Tmin), wind speed (Vw), net radiation (Rn) and water vapor pressure (Pwv) was analyzed, respectively. The results are shown as follows. (1) The climatic elements in the BTH region underwent significant changes in the study period. Vw and Rn decreased significantly, whereas Tmin, Tmax and Pwv increased considerably. (2) In the BTH region, ET0 also exhibited a significant decreasing trend, and the sensitivity of ET0 to the climatic elements exhibited seasonal characteristics. Of all the climatic elements, ET0 was most sensitive to Pwv in the fall and winter and Rn in the spring and summer. On the annual scale, ET0 was most sensitive to Pwv, followed by Rn, Vw, Tmax and Tmin. In addition, the sensitivity coefficient of ET0 with respect to Pwv had a negative value for all the areas, indicating that increases in Pwv can prevent ET0 from increasing. (3) The sensitivity of ET0 to Tmin and Tmax was significantly lower than its sensitivity to other climatic elements. However, increases in temperature can lead to changes in Pwv and Rn. The temperature should be considered the key intrinsic climatic element that has caused the "evaporation paradox" phenomenon in the BTH region.     

Could the Recent Taal Volcano Eruption Trigger an El Ni?o and Lead to Eurasian Warming?

正The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines. A recent eruption occurred on 12 January 2020(Fig. 1a), and this volcano is still active with the occurrence of volcanic earthquakes. The eruption has become a deep concern worldwide, not only for its damage on local society, but also for potential hazardous consequences on the Earth's climate and environment.     

Revisiting the Concentration Observations and Source Apportionment of Atmospheric Ammonia

正While China’s Air Pollution Prevention and Control Action Plan on particulate matter since 2013 has reduced sulfate significantly, aerosol ammonium nitrate remains high in East China. As the high nitrate abundances are strongly linked with ammonia, reducing ammonia emissions is becoming increasingly important to improve the air quality of China. Although satellite data provide evidence of substantial increases in atmospheric ammonia concentrations over major agricultural regions, long-term surface observation of ammonia concentrations are sparse. In addition, there is still no consensus on     

COMPARATIVE ANALYSIS OF VARIOUS DATA OF AIR–SEA TEMPERATURE DIFFERENCE AND ITS VARIATION ACROSS SOUTH CHINA SEA IN THE PAST 35 YEARS

Using the International Comprehensive Ocean-Atmosphere Data Set(ICOADS) and ERA-Interim data, spatial distributions of air-sea temperature difference(ASTD) in the South China Sea(SCS) for the past 35 years are compared,and variations of spatial and temporal distributions of ASTD in this region are addressed using empirical orthogonal function decomposition and wavelet analysis methods. The results indicate that both ICOADS and ERA-Interim data can reflect actual distribution characteristics of ASTD in the SCS, but values of ASTD from the ERA-Interim data are smaller than those of the ICOADS data in the same region. In addition, the ASTD characteristics from the ERA-Interim data are not obvious inshore. A seesaw-type, north-south distribution of ASTD is dominant in the SCS; i.e., a positive peak in the south is associated with a negative peak in the north in November, and a negative peak in the south is accompanied by a positive peak in the north during April and May. Interannual ASTD variations in summer or autumn are decreasing. There is a seesaw-type distribution of ASTD between Beibu Bay and most of the SCS in summer, and the center of large values is in the Nansha Islands area in autumn. The ASTD in the SCS has a strong quasi-3a oscillation period in all seasons, and a quasi-11 a period in winter and spring. The ASTD is positively correlated with the Nio3.4 index in summer and autumn but negatively correlated in spring and winter.     

Information for Authors

正AIMS AND SCOPE Atmospheric and Oceanic Science Letters (AOSL) publishes short research letters on all disciplines of the atmosphere sciences and physical oceanography. Contributions from all over the world are welcome.SUBMISSIONAll submitted     

Information for Authors

AIMS AND SCOPE Atmospheric and Oceanic Science Letters （AOSL） pub- lishes short research letters on all disciplines of the atmos- phere sciences and physical oceanography. Contributions from all over the world are welcome.