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1.
利用NCEP/NCAR(美国国家环境预报中心/国家大气研究中心)再分析资料,对南海强夏季风年和弱夏季风年进行合成分析,结果表明,无论是在夏季风爆发前的1月份或是夏季风盛行的7月份,强弱夏季风年的平均经圈环流和平均纬圈环流都有明显差异。在强夏季风年,1月份的哈特莱环流、7月份的瓦克环流和季风经圈环流都比弱夏季风年同期的明显。强夏季风年的西太平洋副热带高压比弱夏季风年明显偏弱。利用OLR资料分析强夏季风年(1981年)和弱夏季风年(1983)4~9月份赤道东印度洋和南海对流活动的季节内振荡,发现在南海强夏季风年,季节内振荡的次数偏少而强度偏强,在弱夏季风年,季节内振荡的次数偏多而强度偏弱。相比之下,在南海强夏季风年,赤道东印度洋的季节内振荡比南海的更具典型性。 相似文献
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南海夏季风强弱年环流形势与热带对流特点对比分析 总被引:2,自引:1,他引:2
利用NCEP/NCAR(美国国家环境预报中心/国家大气研究中心)再分析资料,对南海强夏季风年和弱夏季风年进行合成分析,结果表明,无论是在夏季风爆发前的1月份或是夏季风盛行的7月份,强弱夏季风年的平均经圈环流和平均纬圈环流都有明显差异。在强夏季风年,1月份的哈特莱环流、7月份的瓦克环流和季风经圈环流都比弱夏季风年同期的明显,强夏季风年的西太平洋副热带高压比弱夏季风年明显偏弱,利用OLR资料分析强夏季风年(1981年)和弱夏季风年(1983)4~9月份赤道东印度洋和南海对流活动的季节内振荡,发现在南海强夏季风年,季节内振荡的次数偏少而强度偏强,在弱夏季风年,季节内振荡的次数偏多而强度偏弱,相比之下,在南海强夏季风年,赤道东印度洋的季节内振荡比南海的更具典型性。 相似文献
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2007 年南海夏季风季节内振荡的北传及影响因子 总被引:1,自引:0,他引:1
利用2007年全球降水气候计划GPCP(the Global Precipitation Climatology Project)卫星红外窗口导出的全球降水指数GPI(the Global Precipitation Index)的日降水资料及频率-波数分析方法,分析2007年南海夏季风季节内振荡(Intraseasonal Oscillation,ISO)的传播特征,并使用美国国家环境预报中心(NCEP)/美国大气研究中心(NCAR)再分析的逐日资料,探讨影响其传播的主要因子.结果表明,南海夏季风ISO有明显的北传趋势,并且明显比南传分量占优.影响南海夏季风ISO北传的主要因子是平均纬向风垂直切变和平均经向风对异常水汽的输送.之所以异常经向风对平均水汽的输送及海-气相可作用的影响在南海地区不重要,而在印度季风区有一定的贡献,是因为平均水汽和纬向风分布在两个地区的差异. 相似文献
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广东前汛期降水与南海北部风场准双周振荡的关系 总被引:2,自引:0,他引:2
利用1961—2008年广东逐日降水、NCEP/NCAR逐日再分析资料,先采用EOF分析、相关分析定义了影响广东前汛期降水的850 hPa关键区——“南海北部风场指数”,再利用功率谱分析、Lanczos时间滤波器等方法研究了近48年广东前汛期降水与南海北部风场指数的低频振荡特征,并研究了广东暴雨与南海北部风场指数准双周振荡的关系。结果表明,广东前汛期降水与南海北部风场指数均以准单周、准双周振荡为主,而30~60天的季节内振荡不显著。南海北部风场指数与广东前汛期降水准双周振荡序列存在显著正相关,且明显高于准单周振荡序列的相关。近48年4—6月南海北部风场指数的准双周振荡波峰前后3天(个别4天)的广东省前汛期暴雨出现概率为78.2%。最后利用合成分析方法分析了南海北部风场指数准双周振荡的波峰附近有典型西南风暖区暴雨发生的大气环流场演变特征,可为广东暖区暴雨过程的中期预报提供参考依据。 相似文献
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孟加拉湾西南季风与南海热带季风季节内振荡特征的比较 总被引:4,自引:2,他引:2
采用美国国家环境预报中心的向外长波辐射和风场资料及日本气象厅的降水资料,用30-60d滤波后的夏季风指数在孟加拉湾和南海的区域平均值分别代表孟加拉湾西南季风和南海热带季风季节内振荡,对两支季风的季节内振荡特征进行比较分析,发现孟加拉湾西南季风的季节内振荡和南海热带季风的季节内振荡在夏季风期间(5-10月)都有约3次半的波动.夏季风期间,在阿拉伯海-西太平洋纬带上,夏季风的季节内振荡有4次从阿拉伯海的东传和3次从西太平洋的西传,其中7月后东传可直达西太平洋.孟加拉湾和南海在夏季风期间都有4次季节内振荡的经向传播,但孟加拉湾在约15°N以南为季节内振荡从热带东印度洋的北传,在约15°N以北则为副热带季风季节内振荡的南传;而在南海则是4次季节内振荡从热带的北传.在以孟加拉湾西南季风季节内振荡和南海热带季风季节内振荡分别划分的6个位相中,都存在1-3位相和4-6位相中低频对流、环流形势相反的特征,这是由热带东印度洋季节内振荡的东传和北传所致.热带印度洋季节内振荡沿西南-东北向经过约14d传到孟加拉湾,激发了孟加拉湾西南季风季节内振荡的东传,经过约6d到达南海,激发了南海热带季风季节内振荡的北传,经过约25d到达华南,形成热带印度洋季节内振荡向华南的经纬向接力传播(45d).孟加拉湾西南季风季节内振荡所影响的降水主要是在20°N以南的热带雨带随低频对流的东移而东移;而南海热带季风季节内振荡所影响的降水除了这种热带雨带随低频对流的东移外,还有在20°N以北的东亚副热带地区存在雨带随南海低频对流的北移而北移. 相似文献
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1998年南海夏季风的爆发与大气季节内振荡的活动 总被引:42,自引:1,他引:41
利用NCEP再分析及TBB资料,系统地研究了1998年南海夏季风爆发与大气季节内振荡活动的关系,结果表明,1998年南海夏季风爆发与南海及其临近地区30~60天低频振荡的发展有着极为密切的关系。南海及临近地区30~60天低频纬向风及低频动能的时间-经(纬)度剖面明显地反映出该地区的大气季节内振荡的加强是由于其临近地区(菲律宾以东)30~60天低频气旋发展及其向西扩展的结果,与孟加拉湾地区低频气旋的活动关系不大;同时,我们也看到了夏季风爆发前后南海地区为850hPa低频动能的大值区,而200hPa上为一弱区,反映了1998年南海夏季风爆发期间该地区大气季节内振荡有上弱下强的垂直分布特征。进一步分析表明,南海及其临近地区大气季节内振荡的活动主要为局地振荡型,夏季风爆发后才有明显的向北传播,成为南海夏季风爆发影响东亚大气环流和天气的重要途径之一。另外,1980和1986年南海地区30~60天低频动能的发展特征与1998年的类似,说明了南海及其临近地区大气季节内振荡的局地振荡特征并不是1998年所特有的,它对南海夏季风爆发有普遍的重要作用。 相似文献
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2006年东亚夏季风活动特征与我国东部雨带分布 总被引:4,自引:1,他引:3
利用1979—2006年NCEP/NCAR大气月平均资料、OLR对流和CMAP降水日平均资料,从季节平均、月平均、季节内振荡不同时间尺度分析了2006年东亚夏季风活动特征及其与雨带分布之间的联系。结果表明,2006年东亚夏季风爆发时间正常,而夏季风推进过程存在异常:前沿在华南地区和华北地区维持时间偏长、在长江流域维持时间偏短,夏季风极端北界偏北,这种推进异常与南海夏季风强度偏强有关。南海夏季风强度偏强及推进过程异常导致东亚夏季(6—8月)降水为Ⅰ类雨带分布,即长江流域降水偏少,华南、黄淮流域-朝鲜半岛-日本中南部降水偏多。从月时间尺度看,2006夏季各月都具有南海地区夏季风强度偏强、前沿位置偏北和偏东的异常趋势;西太平洋副热带高压6月偏西偏南,7、8月偏北,在这种异常形势下,长江流域6、7、8各月降水都偏少,华南地区各月以偏多为主,黄淮流域7、8月降水偏多。从季节内振荡看,2006年大气季节内振荡(ISO)纬向传播与气候平均相比具有特殊性,长江流域纬度带西传波和静止波偏弱,华南地区纬度带东传波和静止波偏强,ISO这种异常与夏季长江流域降水偏少、华南降水偏多有关。 相似文献
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2004年南海夏季风活动概述 总被引:15,自引:7,他引:8
利用NCEP逐日再分析资料、向外长波辐射(OLR)和卫星降水资料,分析了2004年影响南海夏季风活动的一些特征。结果表明,2004年由于西太平洋副热带高压主体位置比正常偏北、偏西,导致南海夏季风爆发日期比正常偏晚(5月19日)、强度偏大,并主要在南海地区活动。南海季风爆发期间存在明显的季节内振荡,有两个显著振荡周期:一个峰值为20-30天,另一个峰值为40~50天。南海夏季风期间,主要的水汽通量输送集中在南海一西太平洋地区,向北到达华南的水汽输送减少,致使华南地区干旱。 相似文献
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2008年南海夏季风活动概述 总被引:3,自引:1,他引:2
由NCEP再分析资料、向外长波辐射(OLR)和GPCP卫星导出(IR)GPI的日降水分析得到:2008年南海夏季风于5月2候在南海爆发,时间较常年(5月4候)偏早,10月第2候结束,时间较常年(9月6候)偏晚。南海夏季风爆发后,由于受强冷空气影响,南海夏季风北推影响到华南地区的时间较常年偏晚。尽管2008年南海夏季风强度较常年偏弱,其仍存在明显的季节内振荡过程,主要周期为30~60天。由于南海地区和我国华南地区的水汽辐合增强以及南海夏季风活动北界在35 °N附近维持时间较长(大约7候),华南、长江中下游和淮河流域的夏季降水异常增多。 相似文献
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Intraseasonal Oscillation of the South China Sea Summer Monsoon and Its Influence on Regionally Persistent Heavy Rain over Southern China
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The intraseasonal oscillation(ISO) in the South China Sea summer monsoon(SCSSM) and its influence on regionally persistent heavy rain(RPHR) over southern China are examined by using satelhte outgoing long wave radiation,NCEP/NCAR reanalysis,and gridded rainfall station data in China from 1981 to 2010.The most important feature of the ISO in SCSSM,contributing to the modulation of RPHR,is found to be the fluctuation in the western Pacific subtropical high(WPSH),along with a close link to the Madden-Julian oscillation(MJO).Southern China is divided into three regions by using rotated empirical orthogonal functions(REOFs)for intraseasonal rainfall,where the incidence rate of RPHR is closely linked to the intraseasonal variation in rainfall.It is found that SCSSM ISOs are the key systems controlling the intraseasonal variability in rainfall and can be described by the leading pair of empirical orthogonal functions(EOFs) for the 850-hPa zonal wind over the SCS and southern China.Composite analyses based on the principal components(PCs) of the EOFs indicate that the ISO process in SCSSM exhibits as the east-west oscillation of the WPSH,which is coupled with the northward-propagating MJO,creating alternating dry and wet phases over southern China with a period of 40 days.The wet phases provide stable and lasting circulation conditions that promote RPHR.However,differences in the ISO structures can be found when RPHR occurs in regions where the WPSH assumes different meridional positions.Further examination of the meridional-phase structure suggests an important role of northward-propagating ISO and regional air-sea interaction in the ISO process in SCSSM. 相似文献
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利用NCEP/NCAR逐日风场及英国气象局逐月海表温度资料,研究了对流层高低层风场季内振荡强度季节变化特征,探讨了其年际及年代际异常特征与海表温度异常的关系。热带印度洋、热带西太平洋是高低层风场季内振荡终年均活跃的区域。对流层高低层风场季内振荡强度异常与海表温度异常均不存在确定的局地关系。风场季内振荡能量异常与海表温度异常在年代际尺度上具有良好对应关系,20世纪70年代中后期以来,赤道东太平洋海温异常升高,Walker环流减弱,导致亚洲区域季风季内振荡强度减弱,赤道太平洋区域200hPa(850hPa)风场季内振荡在赤道东太平洋增强(减弱),在印度洋东南部—印尼—中西太平洋的暖池区域减弱(增强),促进了ElNino事件的增强。对流层高低层风场季内振荡强度年际异常与ElNino事件关系密切,这一特征在低层(850hPa)风场表现更显著。在事件发展初期,热带中西太平洋区域850hPa风场季内振荡异常增强并东移,事件发生之后这些区域能量减弱。大气季内振荡可能是ElNino事件的激发因素。 相似文献
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Alain Tchakoutio Sandjon Armand Nzeukou Clément Tchawoua 《Meteorology and Atmospheric Physics》2012,117(3-4):167-179
The spatial and temporal structures of the intraseasonal atmospheric variability over central Africa is investigated using 2.5°?×?2.5° daily outgoing longwave radiation (OLR) and National Centers for Environmental Prediction (NCEP) Reanalysis zonal winds for the period 1980–2010. The study begins with an overview of the Central African rainfall regime, noting in particular the contrast amongst Western and Eastern parts, with different topography and surface conditions features. The annual mean rainfall and OLR over the region revealed a zone of intense convective activity centered on the equator near 30°E, which extends southward and covers almost all the Congo forest. The annual cycle of rainfall reflects the classical bi-annual shift of Inter-Tropical Convergence Zone across the equatorial belt, between 10°S and 10°N. The result of the empirical orthogonal functions (EOFs) analysis has shown that the three leading EOF modes explain about 45?% of total intraseasonal variability. The power spectra of all the three corresponding principal components (PCs) peak around 45–50?days, indicating a Madden–Julian Oscillation (MJO) signal. The first mode exhibits high positive loadings over Northern Congo, the second over Southern Ethiopia and the third over Southwestern Tanzania. The PCs time series revealed less interannual modulation of intraseasonal oscillations for the Congo mode, while Ethiopian and Tanzanian modes exhibit strong interannual variations. H?vmoller plots of OLR, 200 and 850?hPa NCEP zonal winds found the eastward propagating features to be the dominant pattern in all the three times series, but this propagation is less pronounced in the OLR than in the 850 and 200?hpa zonal wind anomalies. An index of MJO strength was built by averaging the 30–50?day power for each day. A plot of MJO indices and El Ni?o Southern Oscillation (ENSO) cycle confirm a strong interannual modulation of MJO over Eastern central Africa partially linked with the ENSO events (El Ni?o and La Ni?a). Strong MJO activity is observed during La Ni?a years or during ENSO-neutral years, while weak or absent MJO activity is typically associated with strong El Ni?o episodes. 相似文献
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Global gridded daily mean data from the NCEP/NCAR Reanalysis(1948-2012) are used to obtain the onset date,retreat date and duration time series of the South China Sea summer monsoon(SCSSM) for the past 65 years.The summer monsoon onset(retreat) date is defined as the time when the mean zonal wind at 850 hPa shifts steadily from easterly(westerly) to westerly(easterly) and the pseudo-equivalent potential temperature at the same level remains steady at greater than 335 K(less than 335 K) in the South China Sea area[110-120°E(10-20°N)].The clockwise vortex of the equatorial Indian Ocean region,together with the cross-equatorial flow and the subtropical high,plays a decisive role in the burst of the SCSSM.The onset date of the SCSSM is closely related to its intensity.With late(early) onset of the summer monsoon,its intensity is relatively strong(weak),and the zonal wind undergoes an early(late) abrupt change in the upper troposphere.Climate warming significantly affects the onset and retreat dates of the SCSSM and its intensity.With climate warming,the number of early-onset(-retreat) years of the SCSSM is clearly greater(less),and the SCSSM is clearly weakened. 相似文献
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利用NOAA逐日海表面温度(sea surface temperature,SST)资料、NCEP/NCAR逐日风场和比湿资料以及中国国家气象信息中心提供的逐日降水资料,研究了西北太平洋气候SST的低频周期,进一步分析了夏季西北太平洋SST季节内振荡与中国东部同期降水异常的关系。结果表明:夏季西北太平洋季节内SST异常影响中国东部同期季节内降水最显著的三个区域为:长江中游及华南沿海;江淮流域;华北大部。其影响途径主要是通过西北太平洋季节内海温与850 h Pa环流场之间相互作用,在东亚沿岸自南向北逐渐形成气旋—反气旋—气旋(反气旋—气旋—反气旋)的波列结构,引起东亚沿海局地水汽的辐合辐散,使得中国东部夏季季节内雨带从江淮流域向华北推进(从华北南撤到长江中游及华南沿海地区)。 相似文献
16.
江淮流域夏季严重旱涝与大气季节内振荡 总被引:7,自引:0,他引:7
利用NCEP/NCAR的再分析资料和中国气象局国家气象中心提供的中国台站降水资料,分析研究了江淮流域大范围严重旱涝的20-70天大气季节内振荡(ISO)特征。结果表明,对应江淮流域严重涝年,200hPa青藏高原北部存在ISO气旋性环流,青藏高原南部存在ISO反气旋性环流;大气ISO流型在对流层中低层850hPa主要是我国长江以南、南海和西太平洋地区为大气ISO反气旋性环流,我国长江以北到日本地区的大气ISO气旋性环流,我国江淮流域位于这两个ISO涡旋西侧偏南气流和偏北气流的交汇处;旱年反之。利用向量经验正交展开方法得到,上述大气ISO环流型分别是旱涝年大气ISO流型的第一模态,并且涝年大气ISO流型的振幅强,旱年振幅弱。进一步分析揭示,严重洪涝(干旱)年分别对应对流层中上层江淮流域及其以北的中高纬度地区有强(弱)的大气ISO活动。中高纬度地区的大气ISO在严重洪涝年向南传播,与低纬度向北传播的大气ISO在江淮流域汇合;而在严重干旱年,虽然大气ISO可向北传播,但向南的传播却很不明显。 相似文献
17.
MJO prediction in the NCEP Climate Forecast System version 2 总被引:3,自引:0,他引:3
Wanqiu Wang Meng-Pai Hung Scott J. Weaver Arun Kumar Xiouhua Fu 《Climate Dynamics》2014,42(9-10):2509-2520
The Madden–Julian Oscillation (MJO) is the primary mode of tropical intraseasonal climate variability and has significant modulation of global climate variations and attendant societal impacts. Advancing prediction of the MJO using state of the art observational data and modeling systems is thus a necessary goal for improving global intraseasonal climate prediction. MJO prediction is assessed in the NOAA Climate Forecast System version 2 (CFSv2) based on its hindcasts initialized daily for 1999–2010. The analysis focuses on MJO indices taken as the principal components of the two leading EOFs of combined 15°S–15°N average of 200-hPa zonal wind, 850-hPa zonal wind and outgoing longwave radiation at the top of the atmosphere. The CFSv2 has useful MJO prediction skill out to 20 days at which the bivariate anomaly correlation coefficient (ACC) drops to 0.5 and root-mean-square error (RMSE) increases to the level of the prediction with climatology. The prediction skill also shows a seasonal variation with the lowest ACC during the boreal summer and highest ACC during boreal winter. The prediction skills are evaluated according to the target as well as initial phases. Within the lead time of 10 days the ACC is generally greater than 0.8 and RMSE is less than 1 for all initial and target phases. At longer lead time, the model shows lower skills for predicting enhanced convection over the Maritime Continent and from the eastern Pacific to western Indian Ocean. The prediction skills are relatively higher for target phases when enhanced convection is in the central Indian Ocean and the central Pacific. While the MJO prediction skills are improved in CFSv2 compared to its previous version, systematic errors still exist in the CFSv2 in the maintenance and propagation of the MJO including (1) the MJO amplitude in the CFSv2 drops dramatically at the beginning of the prediction and remains weaker than the observed during the target period and (2) the propagation in the CFSv2 is too slow. Reducing these errors will be necessary for further improvement of the MJO prediction. 相似文献
18.
东亚高空纬向风的季节内振荡对登陆中国大陆热带气旋活动的影响 总被引:1,自引:2,他引:1
使用1979—2015年欧洲长期天气预报中心所提供的ERA-Interim再分析资料和中国气象局上海台风研究所整编的西北太平洋热带气旋(TC)最佳路径资料,分析了7—8月东亚高空纬向风的季节内振荡(ISO)信号特征及其与登陆中国大陆热带气旋(TC)的关系。结果表明:(1)200 hPa纬向风在副热带、中纬度地区季节内振荡显著,尤其是在纬向西风带中,有两个南北分布的大值中心,方差贡献均超过50%。(2)基于东亚高空纬向风的ISO和EOF典型空间模定义的西风指数(EAWI),可以用来描述东亚高空纬向西风在ISO尺度上的经向移动。(3)在西风指数的ISO负位相期间,登陆中国东南沿岸22 °N以北的TC增多;反之减少。在西风急流出口南侧的副热带区域,200 hPa ISO纬向风向北移动,使纬向西风位置偏北,出现东风异常,从而使西风减弱;TC引导气流为向西的异常,有利于TC登陆中国大陆偏北沿岸;同时有异常的ISO纬向异常东风切变,有利于TC登陆过程的维持。(4)在西风指数的ISO负位相期间,在对流层高层西风急流出口区向南输送的天气尺度的E矢量,在TC登陆地区,出现异常扰动涡度通量的辐合,引起了该区域的西风减弱。 相似文献
19.
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