2002年3月21—22日影响韩国的沙尘天气分析

利用气象卫星、天气形势场和NCEP/NCAR再分析资料,分析了2002年3月21—22日影响韩国沙尘天气的原因。结果表明:影响韩国沙尘天气的沙尘主要源地是蒙古国和中国内蒙古地区。沙尘天气发生在地面冷锋后部,高压伸展的前面;19日和20日沙尘暴发生后,沙尘沿着西北风输送,21日早晨影响韩国;PM10最高值达到2 778.2μg/m³,由于西北风较强,沙尘暴发生后很快影响到韩国,但在韩国持续的时间较短。     

乌鲁木齐地区一次强沙尘天气过程分析

利用环境监测资料、常规气象资料、高低空环流形势数据和卫星遥感图像资料,对2004年4月19日造成乌鲁木齐地区强沙尘天气的天气背景进行了系统的分析。结果表明,此次天气过程在北疆沿天山88°E一带产生了严重风沙灾害。乌鲁木齐市可吸入颗粒物浓度从沙尘天气前的0.79mg/m3猛增到沙尘天气发生时的10.0mg/m3,API指数为500,属于重度污染。沙尘天气发生前后,乌鲁木齐市温度、气压、风速以及能见度发生了显著的变化。其中,风速>17m/s的大风持续时间较长,能见度降到了很低的水平,乌鲁木齐以外的地区能见度甚至降到了强沙尘暴能见度级别;由卫星云图、高低空环流形势分析和物理量分析可以得出,造成2004年4月19日强沙尘天气的主要原因是冷锋过境。锋前的抬升作用和高低空散度场的配置是沙尘天气的启发因素,而持续时间较强的锋后西北风是产生此次强沙尘天气的主要动力。     

大连沙尘天气及预报模型分析

通过对位于东北亚沙尘暴天气下游的大连近7年的沙尘天气统计分析,以及应用天气学方法进行预报模型分析,揭示出大连地区沙尘的主要特征和预报着眼点.大连沙尘天气主要出现在春季,变化趋势同全国基本一致;沙尘天气的源地有4个,有三条影响路径.沙尘影响时,平均相对湿度都较低,以西北风为主.西北路径是影响大连地区产生沙尘天气最多的路径.在北路系统影响下,有三种天气类型;西路系统和西北路系统也分别有三种和四种天气类型.大连的沙尘天气预报着眼点首先要关注其上游的起沙情况,然后结合三路影响系统的预报模型进行分析;三路影响系统有不同的起沙关注区和不同的天气系统位置和移动方向.     

2006年春季一次引起华北地区强沉降的沙尘暴过程的模拟研究

2006年春季是我国北方地区2000年以来强沙尘暴过程最多的一年,浮尘和扬沙天气更是频繁发生.尽管,4月16～17日过程不是2006年春季最强的沙尘暴过程,但其在华北地区引起了严重的沉降,尤其对京津地区影响较大.这是一次由蒙古气旋引发的强沙尘暴过程.利用沙尘天气预测系统(IAPS 2.0)对该次强沙尘暴过程进行了模拟试验,结果表明:该系统对沙尘天气的起沙和输送过程有较好的模拟能力,基本模拟出了这次强沙尘暴的发生和移动;沙尘受对流层中低层偏西风的作用输送到华北地区,并从山东半岛越过渤海湾向东输送;主要的沙尘源地是蒙古国南部和我国西北的内蒙古、新疆西部、甘肃、陕西北部,而起尘最大的地区在蒙古国和内蒙古的沙漠、戈壁地区;沉降最严重的地区是沙尘源区及其附近,可达到50 g*m-2,其他地区的总沉降量在10 g*m-2左右.     

东亚沙源地与下游影响区沙尘天气频数变化对比分析

基于1999—2019年地面气象观测资料,对东亚主要沙尘源地(蒙古国、中国新疆和内蒙古)及中国沙源地下游地区的沙尘天气频数演变特征进行了分析,结果表明：蒙古国是沙尘天气发生最严重的地区,且有明显增加的趋势,扬沙、沙尘暴和强沙尘暴均远高于其他区域。中国整体沙尘天气数量显著减少,新疆快速增多,内蒙古和下游地区明显减少。新疆浮尘发生频次最高,近21 a线性倾向呈明显上升趋势;内蒙古扬沙频次最高,强沙尘暴最少,4类天气均呈逐年减少趋势;我国下游地区多发浮尘和扬沙,沙尘暴和强沙尘暴发生次数很少,全部沙尘天气呈减少趋势。1999—2004年为我国沙尘天气高发期,2005—2019年明显减少,其中2010—2014年减少速度最快。沙尘源地对我国沙尘天气总数的贡献持续增大,从2000年初的39%增长到2015年之后的71%。作为沙尘源地,蒙古国对沙尘天气产生的作用有所增强,而内蒙古则在减弱;国内沙尘源地导致的能够影响并扩展至中国下游地区和下游国家的强沙尘天气显著减少。     

中国沙尘天气空间分布差异的气候背景

利用1951～2000年中国470个台站沙尘天气和地面气象资料进行了分析,并做了沙尘暴、扬沙、浮尘的空间分布图.分析结果表明沙尘天气主要发生在我国西北、华北地区,有3个多发中心：①以民勤为中心的河西走廊及内蒙古阿拉善高原区;②以和田为中心的南疆盆地南缘区;③以朱日和为中心的内蒙古中部区.另外,以宁夏盐池及内蒙古鄂托克旗为中心的宁、蒙、陕交界处等也是较高的活动区.扬沙、浮尘与沙尘暴的分布很相似.在此基础上,又计算了沙尘天气空间分布与地面气象要素的关系,结果表明：沙尘天气与降水量、相对湿度、植被覆盖率呈显著的负相关,与蒸发量呈正相关.说明影响沙尘天气发生的主要因子是植被覆盖率、蒸发量、降水量和相对湿度.在西北干旱地区,多年平均温度与沙尘天气的发生相关不显著,多年平均风速与沙尘天气的相关也弱.     

我国北方区域沙尘天气的时间特征分析

将我国北方沙尘主要影响区划分为3个区（西北区、华北区、东北区）,用网格面积加权计算区域平均的方法,比较了各区沙尘天气的时间演化特征。结果表明：西北部沙尘日数的量级明显多于东北部;沙尘暴的发生有比较明显的日变化特征,各区白天较夜间更易发生沙尘暴,2区（华北区）和3区（东北区）发生沙尘暴初始时刻的峰值出现在14：00,1区（西北区）出现在15：00～16：00;2区和3区出现沙尘天气的极值在4月,而1区在4、5两个月都是极值期;春季是各区沙尘天气的多发期,1区夏季沙尘天气发生的频次也较高;各区的沙尘日数均在20世纪80年代中期前后发生了由多到少的跃变,1区和2区的突变点在1987年,3区在1983年。我国北方3个区沙尘天气的日、月、季节变化有明显的区域特征,其中1区表现得较为独特,2区和3区则比较接近。     

德州一次沙尘天气过程成因及气溶胶粒子的输送路径分析

利用NCEP 1°×1°再分析资料分析了2017年5月4日浮尘和5月5日扬沙天气的成因。结果表明：3日20时—4日08时,蒙古气旋在有利的环流背景下迅速发展,配合冷锋在内蒙古中部和东部形成大范围的强沙尘天气;4日20时—5日08时沙尘通过高空气流输送到华北地区,在自身沉降和较强下沉气流的共同作用下,迅速沉降形成华北地区大范围的浮尘天气;5日08—14时由于西北路冷空气影响,横槽转竖,冷锋加速南下,将大量沙源地的沙尘输送到德州造成扬沙天气。通过HYSPLIT模式对本次过程中气团后向轨迹的模拟,证实以上两个阶段沙尘天气过程中的输送方式及路径。通过分析影响系统、物理量和气象要素发现,蒙古国、我国内蒙古中部沙源地天气系统强度、位置的变化直接影响沙尘天气的类型,高层气流变化与沙尘天气的类型有很好的对应关系。     

北京地区两次沙尘(暴)天气过程对比分析

通过对 2 0 0 0年 4月 6日和 4月 9日北京地区两次沙尘 (暴 )天气过程的对比分析认为 :蒙古气旋型和不伴有气旋的西北槽型所造成的北京沙尘天气的严重程度不同 ;沙源地区中低层较强上升运动的主要作用是将当地沙尘垂直输送到空中 ,然后在70 0hPa较强西北气流的引导下将卷起的沙尘水平输送到下游地区 ;不稳定层结又加强了沙尘天气 ;沙尘暴区上空z 螺旋度分布的特征是高层为负值 ,低层为正值 ,对流层中低层螺旋度正的大值区与卫星云图显示的沙尘暴区具有较好的一致性 ,对沙尘暴的预报有一定的指示意义     

强沙尘暴天气形成机制个例分析

从气候背景、天气形势、地形作用、沙尘形成热力和动力学机制等方面,分别对2005年4月19、20日两天发生在冀南地区的扬沙、沙尘暴天气进行分析。结果表明:对流层低层横切变线和华北地形槽的存在使冀南地区沙尘天气加剧;沙尘发生前冀南弱辐合上升运动和上冷下暖的不稳定垂直结构可以迫使当地沙尘向空中扬起,上游地区较强的上升运动将当地的沙尘垂直输送到空中,在高空强西北气流的引导下将沙尘水平输送到下游地区;沙尘天气发生在上游地区对流层螺旋度最大正值区的下游,对流层螺旋度大小对沙尘暴预报有一定的指示意义。     

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.     

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.     

IMPACT OF ATMOSPHERIC LOW-FREQUENCY OSCILLATION ON THE IMMIGRATION OF NILAPARVATA LUGENS(STL) IN HUNAN AND JIANGXI PROVINCES

Various features of the atmospheric environment affect the number of migratory insects, besides their initial population. However, little is known about the impact of atmospheric low-frequency oscillation(10 to 90 days) on insect migration. A case study was conducted to ascertain the influence of low-frequency atmospheric oscillation on the immigration of brown planthopper, Nilaparvata lugens(Stl), in Hunan and Jiangxi provinces. The results showed the following:(1) The number of immigrating N. lugens from April to June of 2007 through 2016 mainly exhibited a periodic oscillation of 10 to 20 days.(2) The 10-20 d low-frequency number of immigrating N. lugens was significantly correlated with a low-frequency wind field and a geopotential height field at 850 h Pa.(3) During the peak phase of immigration, southwest or south winds served as a driving force and carried N. lugens populations northward, and when in the back of the trough and the front of the ridge, the downward airflow created a favorable condition for N. lugens to land in the study area. In conclusion, the northward migration of N. lugens was influenced by a low-frequency atmospheric circulation based on the analysis of dynamics. This study was the first research connecting atmospheric low-frequency oscillation to insect migration.     

A COMPARATIVE ANALYSIS OF ATMOSPHERIC AND OCEANIC CONDITIONS BEFORE THE OCCURRENCE OF TWO TYPES OF EL NIO EVENTS

The atmospheric and oceanic conditions before the onset of EP El Ni?o and CP El Ni?o in nearly 30 years are compared and analyzed by using 850 hPa wind, 20℃ isotherm depth, sea surface temperature and the Wheeler and Hendon index. The results are as follows: In the western equatorial Pacific, the occurrence of the anomalously strong westerly winds of the EP El Ni?o is earlier than that of the CP El Ni?o. Its intensity is far stronger than that of the CP El Ni?o. Two months before the El Ni?o, the anomaly westerly winds of the EP El Ni?o have extended to the eastern Pacific region, while the westerly wind anomaly of the CP El Ni?o can only extend to the west of the dateline three months before the El Ni?o and later stay there. Unlike the EP El Ni?o, the CP El Ni?o is always associated with easterly wind anomaly in the eastern equatorial Pacific before its onset. The thermocline depth anomaly of the EP El Ni?o can significantly move eastward and deepen. In addition, we also find that the evolution of thermocline is ahead of the development of the sea surface temperature for the EP El Ni?o. The strong MJO activity of the EP El Ni?o in the western and central Pacific is earlier than that of the CP El Ni?o. Measured by the standard deviation of the zonal wind square, the intensity of MJO activity of the EP El Ni?o is significantly greater than that of the CP El Ni?o before the onset of El Ni?o.     

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