中尺度对称不稳定在远距离台风暴雨中的诊断应用

用中尺度对称不稳定“Ｓ”判据对９７１１号远距离台风暴雨过程进行了诊断分析,结果表明;台风远距离雨区存在明显的对称不稳定降水。低层Ｓ〈０的区域作对称不稳定区,与后期台风远距离不有比较好的对应,可以作为远距离台风暴雨落区的一个指标。     

陕西一次远距离台风暴雨天气分析

利用MICAPS实况观测、卫星云图TBB、地面自动观测站资料,对2010年7月22～25日陕西一次远距离台风暴雨天气过程进行诊断分析,结果表明:500 hPa贝加尔湖南部高压和西太平洋副热带高压稳定少动及甘南低涡加深东移是这次暴雨主要环流特征,700 hPa从台风东侧至陕西建立了温湿能通量的能量输送通道,台风东侧的温湿能沿大陆副热带高压外围偏南风向陕西输送,暴雨位于700 hPa温湿能等值线密集处;条件性对称不稳定与对流不稳定是此次暴雨发展与维持的重要机制,高层湿位涡大值区向下伸展,对暴雨起到加强作用。     

高低空急流与台风环流耦合下的中尺度暴雨系统

对9216号台风登陆后进入200 hPa西南风急流入口区右侧, 引起远距离台风中尺度暴雨系统突然发生发展的过程进行了分析.利用二维模式研究了高、低空急流与台风环流耦合和中尺度暴雨增幅的相互促进正反馈机制, 认为Wave-CISK过程和斜压基流的对称不稳定可能是低空急流发展和倒槽形成的更切合实际的动力机制.对流不稳定与斜压大气的结合有利于北传的重力惯性波不稳定发展.     

一次台风远距离暴雨中的干侵入分析

利用常规观测资料和NCEP再分析资料,对2008年7月17—19日发生在山东地区的台风远距离暴雨过程进行了观测分析和模拟研究。结果表明:降水期间有来自中高层的干冷空气的侵入,主要有两种表现形式:对流层顶附近向下的干空气侵入和对流层低层由西北向南的干空气侵入。干侵入存在于300~600 hPa之间,高层略微落后于低层,不利于对流不稳定的发展。但干冷空气侵入使得等相当位温面倾斜,有利于条件性对称不稳定的发展。干侵入使原来不饱和湿空气出现饱和,有利于降水增幅,雨区始终位于500 hPa干区前沿。高层正位涡扰动沿相当位温密集带向低层输送,500 hPa位涡高值区与降水有较好的同位相关系,对降水的发展和移动有一定的指示意义。     

"1998年二度梅"暴雨与非线性亚临界对称不稳定的初步研究

对1998年7月20日00时8月1日12时这段梅雨暴雨过程进行诊断分析，并利用MM5V3中尺度模式作梅雨暴雨的数值试验，结果表明：(1)本次梅雨暴雨分为3大段过程，非线性亚临界对称不稳定可能是3段梅雨暴雨形成的重要机制；(2)扰动风场增长与降水增长关系密切，扰动风场的增长会超前于降水的增长，非线性亚临界对称不稳定的增强可能使降水增强；(3)非线性亚临界对称不稳定主要发生在高层200hPa，中层500hPa也有发生。非线性亚临界对称不稳定使线性对称稳定的大气变为不稳定。降水区和暴雨中心主要位于高层200hPa和中层500hPa扰动风场极大值南侧与低层850hPa扰动风场极大值北侧之间。(4)非线性亚临界对称不稳定扰动的P折时间和空间尺度，分别为5～8h和200～300km。     

非纬向高空急流与远距离台风中尺度暴雨的研究

首先对非纬向高空急流与远距离台风暴雨的相关统计进行了分析，得出：暴雨发生时，２００hPa高空一般为西南风急流（９０．２％），暴雨区位高空急流右后方，暴雨增幅时，２００hPa高空急流有一个增强转贤的趋势，用ＭＭ４模型对９７１１号台风８月１９日００时－２０日００时（ＧＭＴ）进行了数值模拟和诊断分析，认为，远距离台风暴雨与非纬向风有关，高层辐散场使低产生变风场辐合，从而导致台风倒槽的形成与暴雨加强，在暴雨增幅过程中，用中尺度系统分析发现在高空急流右后方３００hPa以下存在一支中尺度环流，该环流对暴雨的维持与加强有密切联系，它的生成与高空急流的非纬向性增强有关，在高空急流右后侧的次级环流与降水产生的潜热反馈，高空非纬向场（v场）的增强之间存在一种有利于远距离暴雨增幅的正反馈机制。     

非纬向高空急流与远距离台风中尺度暴雨的相关统计特征

本文对远距离台风暴雨的发生与非纬向高空急流进行统计分析。结果表明:远距离台风中尺度暴雨与非纬向高空急流密切相关,暴雨发生时,200hPa一般为西南急流,暴雨区位于急流右后方。暴雨增幅时,200hPa高空急流有增强转竖的趋势。     

一次远距离台风暴雨过程分析

应用常规观测资料、卫星、雷达产品,综合分析2008年山东最强的一次降水过程,研究西风带降水系统影响山东时,远距离台风对降水的增幅作用,并对主要降水时段进行中尺度数值模拟.结果表明:在西风带系统影响山东时,远在我国东南沿海的台风右侧的东南气流产生的风向、风速辐合与西风带辐合区合并,东南风所及范围比湿增大,水汽通量辐合使大气中的垂直液态水含量明显增大.西风带系统在垂直方向上后倾,使得低层影响系统受高空槽前的正涡度平流影响,是降水发生的环流背景.中尺度模拟结果显示:前期鲁西暴雨垂直方向对流基本稳定,但有强的对称不稳定支持上升运动发展,后期半岛地区的连续暴雨则是低层增温、增湿且对流和对称不稳定并存,从而产生强降水.     

台风外围偏东气流中的暴雨及其等熵位涡特征

0414号台风"云娜"在浙江登陆后迅速减弱为台风低压,48 h后台风低压北侧偏东气流区域出现了暴雨,当时暴雨区中低层850,700和500 hPa没有辐合系统,而且暴雨出现前较强冷空气影响该区域,已使这里的位势不稳定减小,因此动力抬升和位势不稳定条件均不利于暴雨的产生。为了探讨这种情况下暴雨形成的原因,应用常规报文和1°×1°的NCEP再分析资料,对此次暴雨产生的条件及其等熵位涡演变特征进行了分析。结果表明:中层台风低压倒槽的移速快于低层,在暴雨区形成了一支自下而上向西倾斜的上升气流,暴雨区上空恰好存在着对称不稳定,斜升气流引起了对称不稳定能量的释放,使倾斜对流发展,提供了产生暴雨所需的动力和不稳定条件。而台风外围较强的水汽输送为暴雨的产生提供了充沛的水汽条件。等熵位涡分析表明,大值位涡带与降水区有较好的对应关系。正位涡异常中心的出现对降水的发生发展具有指示意义。     

垂直-倾斜对流一体化参数化方案的实现及数值试验

在Kuo-Anthes垂直对流参数化方案和Nordeng倾斜对流参数化方案基础上,提出了垂直-倾斜对流一体化参数化方案,并引入MM5模式中.利用该方案对2008年1月28-29日发生在中国南方的一次暴雪过程和2005年"海棠"台风过程进行了数值模拟,模拟结果表明,此次暴雪过程在垂直方向主要表现对流稳定状态,但在对流层低层始终存在条件件对称不稳定层,并且当条件性对称不稳定区向高层发展时,伴随着强上升运动作为触发机制,引发条件性对称不稳定能量的释放,产生更多的对流降水,使模拟的总降水量与实况更加一致.条件性对称不稳定的发展加强与降雪强度、辐合辐散和上升运动变化一致,条件性对称不稳定是造成暴雪发展加强的主要机制之一.通过对"海棠"台风72 h的模拟表明,条件性对称不稳定主要发生在台风的低层,且其水平分布呈螺旋状结构.条件性对称不稳定效应对台风路径影响较小,但对台风强度影响较大,在模式中考虑垂直-倾斜对流一体化参数化方案后,与仅考虑垂直积云对流参数化方案相比,72 h模拟的平均台风中心最低气压降低了3 hPa,最大达8 hPa.在模式中考虑条件性对称不稳定的影响,可使模式台风中上层的暖心结构更加明显,上升运动和对流性降水增强,对流释放的更多凝结潜热使台风得到进一步加强.     

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.