2006年6月28日河南省强对流天气过程分析

利用濮阳、三门峡新一代天气雷达产品及云图、自动站等资料,分析了2006年6月28日河南省强对流天气过程.结果表明:濮阳新一代天气雷达基本反射率明显特征为弓形带状回波,对应径向速度上为一条明显的辐合线,强降水回波带和此中尺度辐合线位置吻合;三门峡新一代天气雷达显示,洛宁冰雹的组合反射率达65dBz,回波顶高达14～17 km,垂直液态含水量达55～65 kg·m-2,径向速度产品显示有中尺度气旋,以上特征早于降雹30 min左右出现.     

一次局地强冰雹的多普勒雷达回波特征分析

应用阿克苏CINRAD/CC型多普勒雷达产品,对2009年7月27日发生在乌什县的强冰雹天气过程进行分析,得出以下结论：（1）本次强冰雹天气发生、发展的主要机制是受中低层切变线和辐合线的共同影响;（2）雹云内存在较强的气流辐合和垂直风切变,径向速度图上有逆风区、辐合区等中尺度强降水特征出现;（3）强雹云的反射率因子可达60 dBz以上,在VCS剖面中前悬回波、回波墙、穹窿等雹云的特征回波明显;（4）VIL、VWP产品变化能够很好地指示云体发展情况,是判别降雹潜势的指标。     

遵义市冰雹天气过程雷达回波特征分析

利用遵义新一代多普勒天气雷达资料,对2008—2016年6次天气过程的8个降雹风暴进行分析。结果表明:普通单体风暴持续时间短,强回波反射率因子高度高,径向速度图上有大量逆风区存在;超级单体持续时间长,具有明显的三体散射特征、弱回波区和强回波悬垂,径向速度图上有中气旋存在;多单体风暴中风暴的合并增强是降雹的主要原因,对多个联系紧密的风暴应予以重点关注,径向速度图上存在低层辐合、高层辐散配置;线风暴组织性强,在南部和中部易发展、增强产生降雹,强风暴回波柱向移动方向倾斜,具有明显的弱回波区和回波悬垂,径向速度图上回波后侧有大片的大风区,在风暴处形成强辐合区,对风暴的持续发展非常关键。     

2008年6月10日濮阳冰雹过程的多普勒雷达资料分析

利用2008年6月10日濮阳冰雹天气过程的新一代天气雷达观测资料,运用基本反射率、风暴相对径向速度、垂直积分液态含水量等产品对冰雹过程进行了分析,结果表明:本次冰雹过程由局地对流单体发展而成,雷达回波尺度不大,但回波强度很大,强中心最大达60-65 dBz.风暴相对径向速度产品图上,大风区、逆风区和正负速度对等出现、发展,预示强风暴的出现.速度场的强弱变化早于回波强度变化,可更早得到风暴的发展信息,从而提前预报出短时强对流等灾害性天气.垂直积分液态含水量在降雹过程中有明显跳跃现象,大值区与冰雹落区有一定的对应关系.     

贵州铜仁暴雨和冰雹雷达回波特征对比分析

利用铜仁新一代多普勒天气雷达对贵州铜仁区域的局地暴雨和冰雹天气过程的雷达监测常用产品进行对比分析,得出了产生暴雨和冰雹天气时其雷达回波特征的差异性:(1)冰雹回波反射率因子及剖面在较高的高度上维持较大强度,且其剖面通常具有穹窿结构,暴雨回波中通常有多个对流回波柱,强回波核位于云体中下部。(2)局地暴雨天气通常为混合型降水回波的"准静止"状态和长时间的"列车效应",冰雹回波其外形结构多呈点状、块状、带状等特征,有时候还会出现钩状、弓形回波等特殊形状;(3)暴雨径向速度和冰雹径向速度都存在逆风区等特征,短时强降水发生在逆风区边缘地带、径向速度辐合最大的区域。冰雹径向速度变化范围较大,有强烈的风向、风速辐合过程,有时还会伴随中尺度气旋。(4)冰雹回波的垂直液态水含量和回波顶高都比暴雨大,在降雹前2-5个体扫范围内冰雹回波的垂直液态水含量值会出现明显的跳变,而暴雨回波其值比较平稳并且维持较低数值。(5)VWP在冰雹过程中从低层到高层存在垂直风切变,其切变越大,出现冰雹的可能性越大,而暴雨的西风气流风速远小于冰雹过程。     

北京地区雷暴大风不同生命期内的雷达统计特征及预警提前量分析

选取2010—2014年发生在北京地区的19个致灾的雷暴大风天气过程,应用北京新一代多普勒天气雷达体扫资料的反射率因子和径向速度产品,分析了雷暴大风天气不同生命期内的雷达回波特征。分析发现依据径向速度大值区能对77.8%的带状回波造成的雷暴大风天气提前发布预警,能对100%的弓形回波造成的雷暴大风天气提前发布预警,而其中有67%可提前30min发布预警;孤立的块状回波前侧均未观测到阵风锋回波,径向速度图未观测到入流急流,径向速度大值区不明显。但径向速度图上观测到的中层径向辐合、入流急流、中气旋及反射率图上观测到的阵风锋都为雷暴大风的提前预警提供了重要指示特征。     

甘南地区一次强对流天气的多普勒雷达特征分析

针对甘南地区2006年7月12日出现的冰雹天气过程,利用兰州CINRAD/CC多普勒雷达回波资料以及MICAPS资料对此次强对流天气过程进行了初步的分析,分析了冰雹天气过程中雷达回波的形态特征、结构和动态特征,发现在此次强对流天气是雷达回波具有明显的超级单体风暴特征,且呈现出三体散射、有界弱回波、钩状回波等特征;雷达回波强度值55dB;回波顶16km;径向速度图上出现较强的气旋性辐合,在中高层辐合中还存在着中尺度气旋;此外,降雹过程前后垂直液态水含量(VIL)变化较大。     

一次由“弓形回波”所引发的冰雹天气过程雷达特征分析

利用黔东南州新一代C波段多普勒天气雷达资料,对2015年5月8日凌晨发生在贵州东北部区域的强冰雹“弓形回波”雷达产品进行了详细分析。结果表明,反射率因子维持强度较大值及较长的持续时间是此次冰雹过程较为明显的特征,回波前沿飑线回波带的回波强度梯度较大,弓形结构保持时间较长;径向速度图上,零速度线两侧正负速度对差值的变化、零速度线的旋转、以及逆风区的出现都是强对流天气过程最常见的特性;RCS上,出现了典型的有界弱回波区和强回波悬垂,强回波伸展高度超过了当天-20℃高度层;VCS上,倾斜上升气流与中层下沉气流在风暴低层形成径向辐合区;垂直液态水含量的跳变与降雹有着很好的对应关系,降雹时,其VIL值维持较大数值。      

一次龙卷风天气的特征分析

利用河南濮阳CINRDA/SB多普勒雷达探测资料,结合常规天气图资料、地面加密自动站资料等,对2009年7月16日发生在河南濮阳的龙卷天气过程进行诊断分析,结果表明:这次龙卷天气过程发生在副热带高压边缘西北侧、低空急流左前方的暖切变线附近;龙卷发生前大气环境具有较大的对流不稳定能量,低层存在大的风垂直切变和丰富的水汽;多普勒雷达反射率因子图上表现为移动的弓形回波北段强烈发展形成钩状回波,龙卷生成于钩状回波弱回波区附近。径向速度图上表现为在大范围入流风场中出现伴有辐合的γ中尺度气旋式涡旋,涡旋进一步发展加强导致其中央龙卷涡旋的产生,产生龙卷风天气。另外,强回波、低回波顶高、低层强垂直风切变都是这次龙卷过程中多普勒雷达产品特征。     

2013年北京地区一次强对流冰雹天气过程分析

2013年6月11日08时至6月12日08时,北京地区出现了一次强对流天气过程,部分站点出现冰雹、短时强降水等灾害性天气。本文详细分析此次过程的大尺度天气环流背景、物理量场、北京S波段新一代天气雷达基本反射率因子、径向速度、一小时累积雨量等产品和海淀风廓线探测数据、5分钟加密自动站数据,得出如下结论：(1)本次过程主要是对流层中层温度槽落后于高度槽,系统斜压性较强,发展较好。(2)源于东部沿海的暖湿空气持续输送,为后续强对流天气提供了充沛的水汽和不稳定能量。(3)本站不稳定能量的积聚为对流性天气的形成发展提供了良好的触发维持条件。(4)怀柔汤河口降雹之前,多普勒天气雷达速度图上反映出明显的中气旋特征;反射率因子图存在钩状回波,相应的垂直剖面具有回波悬垂、三体散射等特征。(5)南风分量明显加大,有利于水汽的输送,中尺度切变线的存在有利于气流辐合,强回波稳定少动,产生短时强降水。     

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.     

VARIABILITY OF INTER-ANNUAL RELATIONSHIP BETWEEN INDIAN OCEAN DIPOLE AND HUAXI REGION’S AUTUMN PRECIPITATION

The moving-window correlation analysis was applied to investigate the relationship between autumn Indian Ocean Dipole (IOD) events and the synchronous autumn precipitation in Huaxi region, based on the daily precipitation, sea surface temperature (SST) and atmospheric circulation data from 1960 to 2012. The correlation curves of IOD and the early modulation of Huaxi region’s autumn precipitation indicated a mutational site appeared in the 1970s. During 1960 to 1979, when the IOD was in positive phase in autumn, the circulations changed from a “W” shape to an ”M” shape at 500 hPa in Asia middle-high latitude region. Cold flux got into the Sichuan province with Northwest flow, the positive anomaly of the water vapor flux transported from Western Pacific to Huaxi region strengthened, caused precipitation increase in east Huaxi region. During 1980 to 1999, when the IOD in autumn was positive phase, the atmospheric circulation presented a “W” shape at 500 hPa, the positive anomaly of the water vapor flux transported from Bay of Bengal to Huaxi region strengthened, caused precipitation ascend in west Huaxi region. In summary, the Indian Ocean changed from cold phase to warm phase since the 1970s, caused the instability of the inter-annual relationship between the IOD and the autumn rainfall in Huaxi region.     

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     

全球贸易隐含碳变化及其影响分析

基于最新的GTAP8 (Global Trade Analysis Project）数据库,使用投入产出法,分析了2004年到2007年全球贸易变化下南北集团贸易隐含碳变化及对全球碳排放的影响。结果显示,随着发展中国家进出口规模扩张,全球贸易隐含碳流向的重心逐渐向发展中国家转移。2004年到2007年,发达国家高端设备制造业和服务业出口以及发展中国家资源、能源密集型行业及中低端制造业出口的趋势加强,该过程的生产转移导致全球碳排放增长4.15亿t,占研究时段全球贸易隐含碳增量的63%。未来发展中国家的出口隐含碳比重还将进一步提高。贸易变化带来的南北集团隐含碳流动变化对全球应对气候变化行动的影响日益突出,发达国家对此负有重要责任。     

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.     

Retrieval of outgoing longwave radiation from COMS narrowband infrared imagery

Hourly outgoing longwave radiation(OLR) from the geostationary satellite Communication Oceanography Meteorological Satellite(COMS) has been retrieved since June 2010. The COMS OLR retrieval algorithms are based on regression analyses of radiative transfer simulations for spectral functions of COMS infrared channels. This study documents the accuracies of OLRs for future climate applications by making an intercomparison of four OLRs from one single-channel algorithm(OLR12.0using the 12.0 μm channel) and three multiple-channel algorithms(OLR10.8+12.0using the 10.8 and 12.0 μm channels; OLR6.7+10.8using the 6.7 and 10.8 μm channels; and OLR All using the 6.7, 10.8, and 12.0 μm channels). The COMS OLRs from these algorithms were validated with direct measurements of OLR from a broadband radiometer of the Clouds and Earth's Radiant Energy System(CERES) over the full COMS field of view [roughly(50°S–50°N, 70°–170°E)] during April 2011.Validation results show that the root-mean-square errors of COMS OLRs are 5–7 W m-2, which indicates good agreement with CERES OLR over the vast domain. OLR6.7+10.8and OLR All have much smaller errors(～ 6 W m-2) than OLR12.0and OLR10.8+12.0(～ 8 W m-2). Moreover, the small errors of OLR6.7+10.8and OLR All are systematic and can be readily reduced through additional mean bias correction and/or radiance calibration. These results indicate a noteworthy role of the6.7 μm water vapor absorption channel in improving the accuracy of the OLRs. The dependence of the accuracy of COMS OLRs on various surface, atmospheric, and observational conditions is also discussed.