河北省旱涝的变化特征及其相关的海气异常型分析

利用河北省及邻近区域73个气象站1961—2009年逐年降水资料,同期NCEP/NCAR再分析资料,NOAA太平洋海温等资料,分析了河北省干旱的时空变化特征,并应用奇异值分解、合成分析等方法,研究了河北省典型旱涝年份与同期太平洋海温场和环流场的异常特征.结果表明：河北省旱涝异常的空间型分布主要有2种,这些空间型的时间变化除了具有明显的年际变化外,还存在显著的年代际变化.SVD（奇异值分解）分析揭示的河北省旱涝和海气异常的关系表明,当赤道东太平洋年平均海温异常偏低,北太平洋海盆中部年平均海温异常偏高的年份,河北省大部分地区容易偏涝,反之,易干旱.典型干旱年,500 hPa平均高度场上贝加尔湖西南部以及极地500 hPa年平均高度场为正异常,阿留申地区南部为负异常;亚洲中高纬地区环流从西到东呈现-+-的环流异常纬向分布.而典型雨涝年500 hPa平均高度场上贝加尔湖西南部以及极地500 hPa年平均高度场为负异常,阿留申地区南部为正异常;亚洲中高纬地区环流从西到东呈现-+的环流异常纬向分布.     

贵州省汛期降水特征及强降水过程分型研究

【目的】为探究贵州省汛期降水的时空分布特征及演变规律。【方法】利用贵州省81个气象观测站1981—2020年汛期降水资料,采用EOF、REOF及交叉小波分析等方法对贵州省汛期降水时空特征进行分析及强降水过程分型研究。【结果】贵州省1981—2020年汛期平均降水量为924.9mm,降水量在682.7~1194.1mm,呈显著上升趋势,上升速率为16.94mm/10a。贵州汛期降水大体上呈现西南向东北递减的趋势,强降水过程次数及持续天数分布及波动变化与汛期降水基本一致。【结论】贵州省汛期降水分布不均,具有显著的年代际变化。贵州省汛期强降水空间场主要有全省一致型、东西反向型和南北反向型3种典型模态。经REOF方法可将贵州省细分为3个强降水区域,根据环流场分析,又可进一步划分为东部型强降水（I型和III型）与西部型强降水（II型）,各类型强降水落区受500hPa环流分布情况以及850hPa水汽来源与强度的影响。     

1961-2012年6-8月内蒙古降水异常及环流特征分析

利用内蒙古自治区100个站1961-2012年6-8月各月降水量资料,以降水距平百分率划分了单站和全区各月的多、少雨年份,分析了6-8月全区多雨和少雨站点百分率变化特征。针对异常多雨和少雨年份,探讨了同期北半球欧亚地区大气环流的分布特征。结果表明：8月降水存在减少趋势,6月和7月则主要表现为阶段性多（少）雨,且少雨年多于多雨年。在多雨月份,100hPa高度场上,欧亚中高纬度呈径向环流分布,极涡较弱。其中,6月为两槽一脊型,内蒙古位于高压脊区前部,7、8月为两脊一槽型,内蒙古位于高压脊区后部;500 hPa高度场上,6月,亚洲区主要表现为变形场,内蒙古处于锋生区,或是亚洲中高纬度环流为两脊一槽型,内蒙古处于两高之间的宽广低槽中, 7月、8月欧亚中高纬度环流主要表现为东高西低,内蒙古自治区位于低压槽区中;850hPa流场图上内蒙古为气旋性切变区域或为风场辐合区域控制。在少雨月份,100hPa和500hPa高度场上,欧亚中高纬度呈纬向环流分布,极涡较强,内蒙古位于南亚高压北边的正距平区域;850hPa流场图上表现为弱的风场特征,无明显的水汽输送。     

通辽市夏季降水量及7月环流特征分析

利用通辽市境内7个气象站,1959—2008年夏季（6-8月）降水量及7月500hPa环流特征资料进行分析,结果表明：（1）通辽市夏季降水量随时间呈减少趋势,50a累计减少18.6%,目前处于少水阶段,是50a降水量最少时期;（2）降水量的多少与7月500hPa环流特征以及东亚阻塞高压、太平洋副高、亚洲纬向环流指数、青藏高压、东亚槽均有明显的关系。     

吉林省极端降水的变化特征及其与环流异常的关系

本文利用极端降水指数对吉林省1960～2003年日降水量资料进行了分析,同时利用同期北半球NCAR/NCEP再分析月平均表面温度、500hPa高度、1000hPa高度资料分析了极端降水与环流异常的关系。得出吉林省夏季极端降水日数呈弱的减少趋势。夏季极端降水事件典型多年与典型少年,500hPa高度距平场上分布特征相反;1000hPa高度距平场上均以500N为界出现北负南正的分布特征,但前者正距平最大值区位于400N的北太平洋中部,而后者位于400N的亚洲大陆东岸;表面温度距平场上,前者欧亚大陆多为大面积的正距平控制,而后者多负距平控制。     

四川盆地夏季降水年际变化的主模态分析

利用1979～2018年四川盆地134站夏季降水观测资料、ERA-Interim再分析资料以及英国气象局哈德莱中心的海表温度及海冰资料,对比分析了四川盆地夏季降水异常主模态及其同期大气环流和前期海温海冰演变特征的差异,以探讨其形成机制及前期预测信号。结果表明:四川盆地夏季降水存在两类优势空间模态:全区一致型和东西反相型,在20世纪80年代多出现东西反相型,90年代到21世纪初以一致型为主,进入21世纪10年代后又多表现为东西反相型。不同模态所对应的大气环流和海温海冰的演变具有明显差异,全区一致型降水分布受低纬系统影响显著,在500 hPa高度场上主要表现为西太平洋副热带高压的位置及强度异常;850 hPa风场为辐合或辐散特征,受到来自孟加拉湾、南海、西太平洋三条水汽通道的共同影响,其中与南海水汽通道的相关性最高,一致型降水多/少年水汽在盆地区域南北边界为同收/同支;环流可能受到前期ENSO事件衰减的显著影响。东西反相型降水分布受中高纬环流的影响较大,在500 hPa高度场上的特征类似于极地欧亚型（POL）遥相关;水汽在区域南北边界为一收一支,西多东少型为南收北支,而西少东多型为北收南支,与西太平洋水汽通道关系显著;环流可能受到前期北极海冰异常的影响。     

山西省夏季降水与赤道东太平洋海温关系初探

利用山西省58个台站1960-2009年有观测记录的50年夏季降水资料和NCEP/NCAR再分析逐月位势高度场和海温场资料,研究了山西省旱、涝年大气环流特征差异,并进一步讨论了山西省夏季降水异常与赤道东太平洋（Nino区）海温异常的关系。研究结果表明：山西省夏季降水异常年从前期春季到同期夏季,欧亚中高纬度500hPa位势高度的大气环流存在异常,尤其是乌拉尔山高压脊、贝加尔湖低槽及西太平洋副热带高压等大尺度环流系统都有明显的变化;850hPa风场上蒙古气旋南部纬向风的异常,以及我国东部到华北地区经向风（东亚夏季风）的异常,是直接影响山西省夏季降水的重要环流因子;赤道东太平洋秘鲁冷水舌和太平洋东岸暖水舌均是山西省夏季降水的敏感区,其中Nino区域前期春季海温异常对山西省夏季降水的环流系统有显著的影响,即Nino区域前期海温偏低有利于山西省夏季降水偏多。     

山西省夏季降水与赤道东太平洋海温关系初探

利用山西省58个台站1960-2009年有观测记录的50a夏季降水资料和NCEP／NCAR逐月再分析位势高度场、NOAA逐月海温场资料,研究了山西省旱、涝年大气环流特征差异,并进一步讨论了山西省夏季降水异常与赤道东太平洋（Nino区）海温异常的关系。研究结果表明：山西省夏季降水异常年从前期春季到同期夏季,欧亚中高纬度500hPa位势高度的大气环流存在异常,尤其是乌拉尔山高压脊、贝加尔湖低槽及西太平洋副热带高压等大尺度环流系统都有明显的变化;850hPa风场上蒙古气旋南部纬向风的异常,以及我国东部到华北地区经向风（东亚夏季风）的异常,是直接影响山西省夏季降水的重要环流因子;赤道东太平洋秘鲁冷水舌和太平洋东岸暖水舌均是山西省夏季降水的敏感区,Nino区域前期海温异常对山西省夏季降水有显著的影响,即Nino区域前期海温偏低有利于山西省夏季降水偏多。     

北方麦收期间连阴雨天气环流特征

利用1980-2004年5月下旬至6月中旬北方麦收区30个代表站降水实况资料，连阴雨期间亚欧范围500hPa逐日形势图和500hPa高度平均图等，分析总结了近25年来北方麦收期间连阴雨的天气气候和环流形势特征；对北方麦收期间出现的连阴雨天气过程与环流形势和影响系统的关系进行初步探讨，确定连阴雨天气的概念模型。分析表明，阻塞高压形势且贝加尔湖附近伴有冷涡是造成连阴雨天气最主要的环流特征；在500hPa地转风υ场上，麦收区多处于南北风交界处；长连阴雨期间，850hPa东亚地区中低纬度盛行南风为主要特征。     

中国西南地区春旱特征及其异常环流分析

利用中国西南地区云、贵、川、渝四省市95个气象台站1961-2017年逐日气温和降水量数据及NCEP/NCAR月平均再分析资料，计算了57年来西南地区春季季节尺度标准化降水蒸散指数（SPEI）,分析了西南地区春季干旱时空变化特征、干旱的异常环流特征及异常海温分布特征。结果表明，1961-2017年中国西南地区西部变暖变湿，东部变暖变干；SPEI指数存在明显的年代际变化特征；西南地区SPEI指数主模态呈整体一致分布，第二模态呈东西反相分布；对流层低层自西南地区的异常东北气流及青藏高原南侧的异常东风气流不利于源于印度洋和孟加拉湾的水汽向西南地区输送，200hPa副热带西风急流异常对西南地区干旱有重大影响，200hPa上西南地区表现异常辐合，配合中层显著的异常下沉运动，容易造成西南地区干旱；太平洋、印度洋海温异常，会影响大气环流，进而影响西南地区的旱涝情况。     

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.     

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.     

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.     

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