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1.
利用1981—2018年CMA-STI热带气旋最佳路径数据集、NCEP/NCAR再分析资料和OA Flux3潜热通量数据,分析了盛夏海南岛台风累积动能(Accumulated Cyclone Energy,ACE)气候特征及异常年大气环流形势和相关物理量特征。结果表明:1981—2018年盛夏海南岛ACE呈先下降后上升的变化趋势,同时具有明显年代际特征,2010年后存在准2 a显著周期。盛夏ACE偏高(低)年,西太副高偏大(小)偏强(弱)偏西(东),其南侧伴有偏强(弱)的季风槽,台风北侧对流(不)活跃;低层防区内存在异常气旋式切变(反气旋式环流),海南受偏东(西)异常气流影响,有利(不利)于对流、水汽等向台风环流并入而加强(削弱)台风,120°~130°E越赤道气流(不)活跃;菲律宾以东至南海高空抽吸作用偏强(弱),盛行异常上升(下沉)运动,且环境风垂直切变偏小(大);东海—日本海潜热通量偏小(大),热带西太平洋及南海低层为水汽辐合(散)区。 相似文献
2.
东亚冬季风指数及其对东亚大气环流异常的表征 总被引：26，自引：2，他引：26
基于月平均NCEP/NCAR再分析资料、CMAP全球降水资料及中国台站降水和冷空气资料,首先概括了东亚冬季风环流系统的主要成员,并对基于这些环流系统定义的有代表性的4种东亚冬季风指数进行了比较分析。结果表明,4种指数具有比较一致的年际和年代际变化特征,相互间都为显著正相关,表明各指数都能较好地反映出其他环流系统成员的异常。功率谱分析结果显示,所有东亚冬季风指数均具有3—4年的年际变化周期和6.5年周期及9—15年的年代际变化周期。此外绝大部分指数在20世纪80年代之后都有线性减弱的趋势。所有季风指数都能够很好地反映“强(弱)冬季风年,低层西伯利亚高压偏强(弱),阿留申低压偏深(浅),副热带北风气流偏强(弱),东亚副热带地区气温偏低(高),中层东亚大槽偏深(浅)及高层副热带西风急流偏强(弱)”的基本特性。但各指数与冬季影响中国的冷空气次数间均无很好的对应关系。另外,绝大多数指数与东亚地区夏季降水也有较好的滞后关系,表明冬季风不仅对同期环流系统存在作用,而且还可能影响到夏季。 相似文献
3.
索马里急流是北半球夏季最为强盛的越赤道气流,南亚高压则是出现在对流层高层、平流层低层最大最稳定的反气旋环流系统,基于近60年NECP/NCAR再分析资料,本文研究了年代际尺度上夏季索马里急流与南亚高压的联系。研究结果表明:年代际尺度上,索马里急流与南亚高压存在显著的正相关关系,当索马里急流偏弱(强)时,夏季南亚高压偏弱西退(偏强东进)。对不同年代际背景下南亚高压东西部的经向垂直环流的分析发现,当索马里急流处于偏弱位相时,南亚高压西半部(20°~70°E)经向垂直环流偏强,而其东半部(75°~120°E)经向垂直环流减弱;反之亦然。南亚高压南北两侧的纬向垂直环流的变化也有差异,索马里急流偏弱(强)时,北部南亚高压(27.5°~35°N)的青藏高原上空纬向垂直环流显著减弱(增强),而南部南亚高压(20°~27.5°N)的伊朗高原上空纬向垂直环流减弱(增强)明显。进一步的研究发现,年代际尺度上索马里急流与南亚高压的联系受到PDO(Pacific Decadal Oscillation)年代际变化的调制。PDO正负位相的转折,首先改变了对流层高层副热带西风急流的强弱变化,从而使得位于其南部的南亚高压强度和热带东风急流发生相应的改变,热带东风急流的变化又通过热带印度洋上空的局地纬向垂直环流将异常信号传递到对流低层,改变热带地区索马里急流的强弱变化。 相似文献
4.
基于1971—2016年NCEP/NCAR的逐日、逐月再分析资料,研究冬季北半球西伯利亚风暴轴(Siberian Storm Track,SIST)、北太平洋风暴轴(Pacific Storm Track,PST)和北大西洋风暴轴(Atlantic Storm Track,AST)的协同变化特征及其与大气环流的关系。结果表明:(1)三大风暴轴不仅各自的位置与强度变化存在显著相关性,风暴轴之间也存在一定的协同变化且年代际尺度上比年际尺度上更紧密。年际尺度上,SIST与AST的经度变化呈显著负相关,而PST和AST的协同性较差;年代际尺度上,SIST与PST的经、纬度变化均呈弱的负相关,SIST与AST的经度和强度变化均呈显著正相关,PST与AST的经、纬度变化均呈显著负相关。(2)由联合EOF分析得到北半球风暴轴的协同变化时空特征:在年际尺度上,第一模态主要表现为SIST偏弱(强),PST主体偏弱(强)、东南偏强(弱),AST略偏北(南)偏强(弱)但不显著的协同变化。PC1为正位相时,对应的大气环流异常为:500 hPa高度场上为太平洋北美(Pacific North America,PNA)型和欧亚(Eurasian,EU)型的正位相,东亚急流偏强且偏南;第二模态主要表现为SIST偏强(弱)且偏东(西),PST中东部偏南(北)、西部强度偏强(弱),AST偏强(弱)的协同变化。PC2为正位相时,对应的大气环流异常为:500 hPa高度场上为PNA型和大西洋东部(East Atlantic,EA)型的正位相,北美急流减弱;在年代际尺度上,第一模态主要表现为SIST偏西(东)且偏弱(强),PST偏东(西)且偏弱(强),AST偏西(东)且偏弱(强)的协同变化。PC1为正位相时,对应的大气环流异常为:500 hPa高度场上为西大西洋(West Atlantic,WA)型和EU型的正位相。第二模态主要表现为SIST偏强(弱)且偏北(南),PST偏南(北)且偏弱(强),AST北抬(南压)的协同变化。PC2为正位相时,对应的大气环流异常为:500 hPa高度场上为EU型和WA型的正位相,东亚急流强度加强且偏南,北美急流强度减弱。 相似文献
5.
利用NCEP/NCAR再分析资料,探讨夏季东亚大气环流、大气视热源和视水汽汇的年际及年代际变化与登陆中国台风频数的关系.研究表明:夏季200 hPa风场上南亚高压中心位置偏北(南)其形态表现向东北(东南)伸展,西太平洋热带地区上空(200 hPa)的东风急流加强(减弱),中层(500 hPa)西太平洋副热带高压脊线位置偏北(南),低层(850 hPa)东亚夏季风环流偏强(弱),登陆中国台风数偏多(少).夏季东亚-西太平洋热带大气视热源和视水汽汇为正(负)距平, 即东亚热带大气出现辐射加热(冷却)和变湿(变干),登陆中国台风数偏多(少).20世纪50～60年代登陆中国台风频数处于年代际变化相对偏少期,70～90年代中期登陆中国台风频数处于年代际变化相对偏多期.夏季登陆中国台风频数的年代际变化与西太平洋热带大气视热源、视水汽汇及西太平洋热带海温的年代际变化一致,西太平洋热带大气视热源、视水汽汇及西太平洋热带海温处在年代际变化的低(高)值阶段时,夏季登陆中国台风频数也处在年代际变化的偏少(多)期. 相似文献
6.
利用美国NOAA提供的向外长波辐射（OLR）资料、NCEP/NCAR再分析资料以及上海台风所提供的热带气旋（TC）资料等,通过定义一个描写南海范围内（5°N~20°N,105°E~120°E）的热带辐合带（Intertropical Convergence Zone,简称ITCZ）强度指数,研究了南海ITCZ年际和年代际异常变化特征及其对非移入性南海TC[South China Sea-generated tropical cyclone（SCS-G TC）]活动的可能影响,并从异常强、弱南海ITCZ年份的大气环流背景和海表温度等变化特征来尝试揭示南海TC的活动规律。结果表明:在年际和年代际时间尺度上,南海ITCZ强度指数与南海TC的生成频数存在显著的负相关关系,长期趋势变化间的关系存在不同。南海ITCZ的强、弱显著地影响到南海TC的生成频数。强南海ITCZ年,南海TC频数偏多;弱南海ITCZ年,南海ITCZ频数偏少。强、弱南海ITCZ年对于南海TC的生成源地、TC的维持时间以及路径和强度的影响不显著。进一步分析表明,动力和环境条件方面,强、弱南海ITCZ年可能差异较大。异常偏强年,对流层低层出现气旋性环流,上层出现反气旋性环流;季风槽在南海区域偏强、位置偏南。与OLR表示的深对流区相配合,存在暖的海表温度和低层强烈的正涡度和强辐合,在高层存在相应的强的气流辐散,形成了极有利于南海TC发生发展的条件。弱南海ITCZ年则相反。另外,ITCZ强年,太平洋异常SST（Sea Surface Temperature）出现为La Ni?a特征,南海ITCZ区对流活跃,强度偏强。反之,ITCZ弱年则表现为El Ni?o特征,南海ITCZ关键区的对流强度偏弱。这些结果可为深刻认识南海TC的生成规律以及对南海TC的预报提供线索。 相似文献
7.
川西地区夏季降水的年际变化特征及与大尺度环流的联系 总被引：13，自引：4，他引：9
分析了106°E以西的四川西部地区1951～2000年夏季降水的气候变化特征及其与大尺度环流异常的联系,通过分析得到的主要结论如下:(1)川西地区降水的季节和年际变化特征与华北地区的变化特征比较一致.川西地区的涝年与中高纬500hPa的乌拉尔山高脊、巴尔喀什湖至贝加尔湖之间的低压槽以及亚洲东部的高脊的两脊一槽环流型密切相关,在这种环流型下有利于川西地区降水偏多.(2)川西地区盛夏降水有显著的年代际变化,20世纪50年代至60年代初,为川西多雨时期,干旱发生的次数相对较少且弱,1961年以后降水有减少的趋势,进入20世纪90年代以后,降水明显偏少.(3)20世纪50年代与90年代,中高纬环流形势有显著的不同,50年代中高纬两脊一槽型偏强,90年代则偏弱,这是川西地区50年代明显多雨和90年代少雨的主要原因.(4)高原前期的热源偏弱时,7、8月川西地区的降水偏多. 相似文献
8.
秋季亚洲-太平洋涛动与中国近海热带气旋活动的关系 总被引：1，自引：0，他引：1
采用联合台风警报中心的台风最佳路径资料和NCEP/NCAR再分析资料,分析了秋季(9—10月)亚洲-太平洋涛动(APO)强度的年际变化与东亚-太平洋大气环流的关系,探讨了APO与西北太平洋和中国近海热带气旋(TC)活动的关系。结果表明:秋季APO年际变化与同期西北太平洋和中国近海TC活动关系紧密,即当APO偏强(弱),西北太平洋TC活跃区明显偏西(东),中国近海TC偏多(少);APO可以通过影响中国近海对流层纬向风垂直切变、低层辐合和对流层中层引导气流等,从而影响西北太平洋和中国近海TC活动;当APO偏强(弱)时,东亚大槽偏弱(强),东亚冬季风偏弱(强),使得侵入中国近海和热带西北太平洋的冷空气活动偏弱(强),有(不)利于这些海域TC的生成和发展;此外,在APO偏强时,西太平洋副热带高压脊偏西,其南侧偏东气流加强,有利于TC在偏强的偏东气流引导下向西移动或者其转向点偏西;而在APO弱年,副热带高压脊偏弱和偏东,偏东引导气流减弱,不利于TC西行或有利于其转向点偏东。 相似文献
9.
西南地区秋季干旱的年代际转折及其可能原因分析 总被引：2，自引：0，他引：2
采用1961~2012年中国气象局753站降水和温度资料、NCEP/NCAR全球大气再分析资料、NOAA海表温度资料等,应用观测统计分析和全球大气环流模式NCAR CAM5.1数值模拟,基于标准化降水蒸散指数(SPEI),对我国西南秋季干旱的年代际转折及其可能原因进行了分析。观测分析结果表明:(1)西南秋季干旱的主要分布型为全区一致型;西南秋季SPEI在1994年发生年代际突变,突变后(前)为偏旱(涝)期。(2)西南秋季偏旱期的主要环流特征是,西太平洋副热带高压位置偏西、面积偏大、强度偏强,南支槽偏弱,西南地区存在下沉运动。(3)热带东印度洋-西太平洋的海表温度年代际升高对西南秋季SPEI在1994年发生年代际突变有重要作用,该关键海区海表温度异常升高,一是会使秋季西南地区500 hPa高度场偏高,南支槽减弱;二是产生偏强的Hadley环流,使得我国西南地区存在下沉运动;三是会在西太平洋激发气旋性环流,使我国西南地区被偏北气流控制,削弱了向我国西南地区的水汽输送,容易造成该地区的秋季干旱。应用NCAR CAM5.1全球大气环流模式进行了关键海区海表温度年代际变化的敏感性试验,验证了观测分析结果,即秋季关键海区海表温度年代际升高对西南秋季年代际变旱有重要作用。 相似文献
10.
通过对1960—2011年江淮地区夏季降水的研究发现其存在准两年周期振荡(TBO),且此TBO存在着年代际变化,1960—1974年和2001—2011年期间TBO较弱,1975—2000年期间TBO较强。对此TBO及其年代际变化的机理进行分析发现：(1) 此TBO与印度洋热含量的TBO有密切联系,前冬季印度洋热含量若为西正东负,其上空会出现两个反气旋性异常环流,到了夏季与西太平洋的异常反气旋合并,使得西太平洋反气旋加强,并出现一个类似东亚-太平洋(EAP)型遥相关波列,导致江淮地区夏季降水偏多,热含量也在海洋Rossby波和Kelvin波的作用下向东西方向移动,并在秋季使热含量发生反转,印度洋上空转为两个气旋性异常环流,在冬季加强,使得次年降水偏少,形成TBO;(2) TBO的年代际变化可能是由PDO的位相变化引起的,PDO暖(冷)位相,信风偏弱(强),海气耦合偏弱(强),降水受印度洋热含量(太平洋海温)影响较大,受ENSO影响较小(大),TBO较强(弱)。 相似文献
11.
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 Nio3.4 index in summer and autumn but negatively correlated in spring and winter. 相似文献
12.
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. 相似文献
13.
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(Stl), 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. 相似文献
14.
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. 相似文献
15.
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. 相似文献
16.
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. 相似文献
17.
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. 相似文献
18.
Fei LIU Chen XING Jinbao LI Bin WANG Jing CHAI Chaochao GAO Gang HUANG Jian LIU Deliang CHEN 《大气科学进展》2020,37(7):663-670
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. 相似文献
19.
Yuepeng PAN Mengna GU Yuexin HE Dianming WU Chunyan LIU Linlin SONG Shili TIAN Xuemei Lü Yang SUN Tao SONG Wendell W. WALTERS Xuejun LIU Nicholas A. MARTIN Qianqian ZHANG Yunting FANG Valerio FERRACCI Yuesi WANG 《大气科学进展》2020,37(9):933-938
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 相似文献
20.