青藏高原地区地表热力异常与夏季东亚环流和江淮降水的关系

利用NCEP/NCAR再分析月平均资料和中国160个站降水资料,以及由国家气候中心提供的西太平洋副高脊线指数资料,分析了青藏高原地区多年平均地表温度季节转换(3-6月)的空间特征,结合均方差分析,确定高原主体(28°-38°N,75°-100°E)、高原东部以北区域(38°-48°N,90°-105°E)和高原西部以北区域(38°-45°N,75°-90°E)为关键区,分析了1951-2002年5月不同关键Ⅸ地表温度的空间变化与夏季东亚季风环流和江淮降水的关系.结果发现,这3个区域地表温度异常均对夏季东哑850 hPa环流有显著的影响.5月高原和其以北区域地表温度异常存在较大尺度的热力对比,由此,将高原主体和其以北区域的温度异常之差定义为一个指数,反映这种热力差异.相关分析发现:当5月这一热力差异增大(减小)时,夏季东亚中高纬的中高层(500-200 hPa平均)西风加强(减弱),且两风中心轴线位簧南移(北抬);造成西太平洋副热带高压脊线位置偏南(偏北),致使夏季东亚季风环流偏弱(偏强),江淮流域降水增多(减少).     

夏季东亚西风急流Rossby波扰动异常与中国降水

利用1958～2003年NCAR/NCEP再分析和中国160 站月降水资料，探讨沿东亚西风急流Rossby波扰动动能异常对东亚夏季风环流和中国夏季（6～8月）降水的影响及其响应机理。研究发现:（1）夏季东亚西风急流Rossby波扰动动能加强（减弱), 东亚西风急流位置偏南（北)、强度偏强（弱）。（2）该扰动动能具有显著的年际和年代际变化特征， 1958～1978年处于年代际偏弱阶段，1979～1998年处于年代际偏强阶段。（3）该扰动动能加强（减弱), 200 hPa 辐合区位于30?N以南（以北）西太平洋地区，此时，500 hPa 西太平洋副热带高压位于30?N以南（以北), 850 hPa 反气旋性距平环流出现在东亚30?N以南（以北）地区，而30?N以北（以南）为气旋性距平环流，东亚热带季风环流加强（减弱), 梅雨锋加强（减弱), 夏季中国东部降水中间多、南北少（中间少、南北多）。（4）东亚高、中、低层大气环流对高层东亚西风急流Rossby波扰动动能强弱响应由对流层上层散度场及垂直速度场变化完成。     

春季南半球环状模与长江流域夏季降水的关系：Ⅰ 基本事实

利用统计方法对春季(4~5月)南半球环状模(SAM)与夏季(6~8月)中国降水的关系作了分析,发现春季南半球环状模指数(SAMI)与夏季长江中下游降水之间存在显著的正相关关系。春季SAM偏强的同期对流层下层在欧亚大陆存在一以蒙古高原和天山山脉为中心的异常反气旋对,从中国东北到华南中纬度地区均为异常的偏北气流控制。这种环流异常形式可以持续到夏季并加强,致使东亚夏季风减弱;春季SAM偏强,夏季西太平洋副热带高压西部脊强度加强,位置偏西,这些异常环流都有利于长江中下游地区降水偏多。另外,春季SAM偏强,夏季长江中下游地区水汽含量增大,向上的垂直运动得到加强,为该地区降水偏多提供了基本的水汽条件。春季SAM偏弱时,夏季东亚大气环流和水汽条件相反。因此,春季SAM为夏季长江中下游汛期降水提供了一有用的前期信号。     

热带西太平洋海温距平与Rossby波传播对1993和1994年东亚夏季风异常影响的差异

利用NCEP/NCAR再分析资料、Hadley中心海温资料与降水资料,分析了1993和1994年东亚夏季风异常的天气气候特征以及大气环流的差异.分析结果表明: 1993年东亚夏季风弱,副热带西风急流和副热带高压位置偏南,来自于孟加拉湾和南海的水汽仅输送到35°N以南地区.东亚地区出现低温凉夏天气.1994年东亚夏季风强,副热带西风急流和副热带高压位置偏北,7～8月副高持续偏强并控制日本,水汽可以输送到45°N以北的较高纬度,东亚发生破纪录的热浪干旱.对1993和1994年东亚夏季风异常物理过程差异的研究发现,副热带西风急流中静止Rossby波的传播和热带西太平洋暖池海温距平激发出来的PJ型遥相关波列作用的叠加引起1994和1993年东亚夏季风异常差异.     

夏季北大西洋三极型海温异常与中国西南地区气温年际变化的联系

利用1951—2016年Hadley中心海温资料、NCEP/NCAR再分析资料和全国160站气温资料，研究了夏季北大西洋三极型海温异常与中国气温年际变化的联系及可能机制。结果表明，夏季北大西洋三极型海温异常与同期中国西南地区气温年际变化存在显著的负相关关系。夏季北大西洋“-+-”三极型海温异常激发的北半球中高纬欧亚遥相关波列，引起贝加尔湖地区位势高度升高，产生反气旋性环流异常，并引起东亚地区位势高度降低，产生气旋性环流异常。西南地区在对流层中下层位于贝加尔湖异常反气旋性环流的东部和东亚异常气旋性环流的西部，在两者的共同作用下，受异常偏北气流影响，有利于冷空气南下和堆积。与此同时，对流层高层的东亚副热带西风急流位置偏南，西南地区位于急流南侧的异常上升气流中。此种环流形势配置导致中国西南地区气温降低，反之亦然。     

东亚夏季风的强度与前期西太平洋暖池热含量异常的关系

本文利用日本气象厅提供的历史海温资料、Hadley海温资料以及NCEP/NCAR再分析资料(1951~2010年)等探讨了东亚夏季风的强度与前期暖池热含量异常的关系。结果表明,西太平洋暖池热含量可以作为东亚夏季风强度的前期预测因子,两者正相关关系显著。本文选取相关系数更大、持续性更好的前期冬季暖池关键区(-5.5°~5.5°N;157.5°~170.5°E)热含量来进行预报。将暖池热含量指数和东亚夏季风指数均回归到夏季大气环流场上,发现在暖水年次年夏季西太副高偏弱、位置偏北,菲律宾以东以北洋面为气旋性环流,对流上升运动增强,赤道西太平洋地区为显著的西风距平,日本岛以东洋面为反气旋环流,对流下沉运动增强,日本岛以南、黄海至我国中东部地区为显著的东风距平,且前期2月西风带位置偏北,引起夏季海陆热力差异较大,最终导致东亚夏季风强度异常偏高;冷水年则相反。综上所述,当前期冬季西太平洋暖池热含量异常偏高(低)时,会造成次年东亚夏季风强度偏强(弱)。      

欧亚大陆夏季地表热力异常与同期中国东部夏季降水的可能联系

利用ERA-40再分析资料、CRU TS3.0数据集以及中国站点观测数据,分析了欧亚大陆夏季地表热力异常的变化特征,在此基础上探讨了我国东部夏季降水与同期欧亚大陆地表热力异常之间的可能联系。研究发现,欧亚大陆地表气温与浅层土壤温度的大尺度变化特征基本一致:经验正交函数分解第一模态空间型表现为大陆西南部分区域与欧亚大陆其他区域反相变化,对应的时间系数均在20世纪80年代末出现转折。当夏季欧亚中纬度印度以北地区和我国中东部地区地表气温偏高时,东亚夏季风的强度偏强,西太平洋副热带高压位置偏东,我国东部偏南风偏强,江淮流域水汽偏少,且气流上升运动偏弱,降水偏少;华南和北方地区水汽偏多,且气流上升运动偏强,降水偏多;反之亦然。当欧亚大陆中高纬贝加尔湖以东及以西地区夏季地表气温偏高,而我国东北部地区夏季地表气温偏低时,东亚夏季风的强度偏强,西太平洋副热带高压位置偏西,我国东南部地区偏南风异常偏强,有利于水汽向江淮流域输送,东南沿海及内蒙古中部水汽偏少,且气流上升运动偏弱,降水偏少;而东部其余地区水汽偏多,且气流上升运动偏强,降水偏多;反之亦然。     

东亚夏季风活动与东亚高空西风急流位置北跳关系的研究

利用美国NCEP/NCAR再分析资料(1980～1999年)探讨了东亚夏季风活动的两个重要事件,即南海夏季风爆发和江淮流域梅雨起始,与东亚高空西风急流位置北跳的关系.系统的分析研究表明,东亚高空西风急流在由冬向夏的转变过程中一般存在着两次向北突跳现象,并与东亚夏季风活动有密切关系.第一次东亚高空急流的北跳(由25～28°N跳到30°N以北)平均发生在5月8日左右,比南海夏季风爆发日期(平均为5月15日)早7天左右;高空急流位置的北跳是中高纬度大气环流系统减弱北退的表现,它为热带环流和系统的向北推进提供了条件,从而有利于南海夏季风的爆发.第二次东亚高空急流的北跳(由32°N左右北跳到35°N以北)平均发生在6月7日左右,先于江淮流域梅雨起始时间(平均在6月18日左右)10天左右,它是梅雨起始的前期征兆.高空西风急流的两次北跳分别与亚洲大陆南部地区对流层中上层(500～200 hPa)经向温度梯度的两次逆转(反向)有关,在由冬到夏的季节转换中,由于大陆加热较快,导致对流层中上层大气在5～25°N间的经向温度梯度发生反向(逆转),通过地转适应使流场向气压场(温度场)调整,从而高空急流位置北跳.数据分析还发现,东亚高空急流位置的第一次北跳有时也受到南半球副热带高空急流位置北移和加强的影响.     

东亚夏季风北界与我国夏季降水关系的研究

为了研究东亚夏季风北界与我国东部夏季降水异常的关系,本文利用夏季850 hPa上20°N以北105°~125°E之间平均南风风速2 m/s所在的纬度,定义了一个新的东亚夏季风北界指数。初步分析表明:东亚夏季风北界在1976年之前(含1976年)位置偏北,而1976年之后位置偏南,具有明显的年代际变化,较好地反映了我国东部夏季降水异常分布型的变化。对应于东亚夏季风北界的异常,东亚夏季风强度、西北太平洋副热带高压位置与面积、亚洲大陆热低压等也发生了相应的变化,它们之间的关系如下:东亚夏季风北界位置偏北(南)时,对流层低层亚洲大陆热低压偏强(弱),东亚夏季风偏强(弱),西北太平洋副热带高压位置偏北(南)、面积偏小(大),南亚高压偏弱(强),长江中下游地区气流以下沉(上升)为主,降水偏少(多);华北地区气流以上升(下沉)为主,降水偏多(少)。     

夏季西太平洋副热带高压异常时的东亚大气环流特征

利用NCAR/NCEP月平均再分析资料,探讨夏季西太平洋副热带高压异常时东亚热带季风、梅雨锋及中高纬环流的变化特征.研究表明:夏季西太平洋副热带高压脊线异常偏南或脊点异常偏西时,东亚夏季风环流偏弱,850 hPa矢量风距平场上东亚热带地区出现反气旋性环流,副热带地区呈气旋性环流,500 hPa垂直速度距平场上东亚热带地区上升运动减弱,梅雨锋区上升运动加强,500 hPa高度上东亚高纬鄂霍次克海区域出现阻塞高压,高纬冷空气直达中纬度,梅雨锋扰动加强,造成江淮流域汛期降水偏多.夏季西太平洋副热带高压脊线异常偏北或脊点异常偏东时,东亚夏季风环流偏强,东亚大气环流系统的活动出现了与上述情况相反的异常型,江淮流域汛期降水偏少.     

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