夏半年青藏高原及附近地区30—60天振荡的分布特征

本文用1980—1982年3个夏半年(5—9月)的ECMWF客观分析资料,对青藏高原及其附近500hPa位势高度场进行了最大熵谱分析和滤波分析。结果表明:青藏高原及其附近地区夏半年存在着30-60天振荡,高原东部为一相对的30-60天振荡中心。本文还讨论了振荡的年际变化特征。     

青藏高原30—60天振荡与川东降水和气温的关系

利用1973 年达县降水、气温及500hPa 位势高度场的5 天平均资料,分析了青藏高原30—60 天振荡与川东降水和气温的关系。结果表明,川东地区降水与青藏高原500hPa 位势高度场30—60 天振荡呈反位相关系;夏季(4—8 月)气温与高原500hPa 位势高度场30—60天振荡呈同位相关系     

夏季青藏高原上空30～50天大气低频振荡与南亚高压活动的关系

分析了1981年、1982年两年5-9月青藏高原地区上空大气低频振荡特征.夏季青藏高原地区上空是30-50天厚度低频振荡的活跃区和显著区,但低频振荡的位置、范围和强度存在明显年际变化.并且,高原地区上空30-50天厚度低频振荡与南亚高压活动密切相关,表明夏季高原热状况的低频分量对北半球大气环流变化有重要影响,具有明确的天气气候学意义.     

夏季青藏高原TBB低频振荡及其与华中地区旱涝的关系

利用17年(1980—1994年和1997—1998年)逐候GMS TBB资料,对华中地区夏季旱涝年的TBB候距平场进行了合成分析,研究了夏季青藏高原TBB的低频(10~20天和30~60天)振荡及其同华中地区旱涝的关系。结果表明,青藏高原东南部(27°~30°N,90°~100°E)是低频振荡最为活跃的地区,青藏高原东南部和华中地区TBB存在正相关关系,其相关程度涝年比旱年更为显著。对华中地区旱涝而言,青藏高原东南部的30~60天振荡比10~20天振荡敏感性要强。华中地区涝(旱)年,青藏高原东南部存在较强(弱)的低频(30~60天)TBB负值中心,其影响方式有的自西向东传播,有的同华中地区低频(30~60天)TBB同时加强或减弱。青藏高原低频(30~60天)TBB的负值位相有利于对流云团的生成和发展。     

青藏高原西部地表热通量输送的低频特征

以1997年9月-1998年10月青藏高原西部改则地区自动气象站(AWS)近地层连续观测的梯度资料为基础,计算了高原西部地面感热通量、蒸发潜热通量及地面热源强度,应用Marr小波变换重点分析了地表热通量输送以及与此相关的降水量、土壤湿度和土壤热通量的周期振荡特征.结果表明:地面感热具有明显的30～60天低频振荡,并且在夏季存在准8天的中期振荡;蒸发潜热和降水量以准双周振荡为主.土壤热通量以30～50天低频振荡为主,夏季还存在准8天的中期振荡;土壤湿度在冬季呈现明显的30～50天低频振荡,夏季则为20～30天的低频振荡.     

1997—1998年青藏高原大气低频振荡及对降水影响

利用1979—1998年NCEP/DOE逐日再分析资料和国家气象信息中心的常规观测站资料,研究了1997/1998年冬季、1998年夏季青藏高原 (简称高原) 季风的低频振荡特征,研究夏季高原和周边区域高低层大气低频环流系统的配置及其与我国降水的联系。结果表明:1997/1998年冬季和1998年夏季,高原季风不仅表现出很强的30~60 d的周期振荡特征,还伴随有较强的准双周低频振荡;相应区域对流层上层200 hPa上的环流系统则是30~60 d为主的周期变化。1998年夏季,高原地面气压也存在两个频带的低频振荡变化,且其强度存在明显的经向变化,即自南向北30~60 d低频振荡信号有逐渐减弱趋势,准双周信号则呈增强趋势。对30~60 d的低频信号而言,高原夏季风低频信号较强 (弱) 时,高原地面表现为低频低 (高) 压环流系统,在同纬度带的我国东部地区和西太平洋沿岸,是较强的低频北 (南) 风和低 (高) 压环流系统;相应地,在80°~90°E之间,自孟加拉湾到我国西北中部地区,是低频反气旋-气旋-反气旋的经向低频波列;受低频环流系统影响,高原东部、长江中下游地区降水偏多 (少)、川西高原、云南西南部降水偏少 (多)。     

青藏高原30─60天振荡与川东降水和气温的关系

利用１９７３年达县降水、气温及５００ｈｐａ位势高度场的５天平均资料，分析了青藏高原３０—６０天振荡与川东降水和气温的关系。结果表明，川东地区降水与青藏高原５００ｈＰａ位势高度场３０—６０天振荡呈反位相关系．夏季（４—８月）气温与高原５００ｈＰａ位势高度场３０－６０天振荡呈同位相关系．     

南海—热带西北太平洋地区季节内尺度海气变化关系

本文系统地回顾了作者近年来关于南海-热带西北太平洋地区大气和海洋季节内尺度变化关系方面的主要研究成果。文中对10~20天和30~60天两种季节内振荡海气变化关系的不同以及冬、夏季间的差异进行了系统地比较。相比较而言,大气中10~20天振荡所占比例大于30~60天振荡,海表温度30~60天的振荡在南海和西北太平洋副热带地区比10~20天振荡的贡献大,而在低纬度西太平洋地区10~20天振荡与30~60天振荡贡献相近或稍大。在北半球夏季,10~20天低频振荡的分布呈西南—东北走向,由赤道西太平洋地区向西北偏西方向传播,而30~60天低频振荡则以东西向分布为主,表现为由南向北的传播特征。在北半球冬季,10~20天和30~60天两种低频振荡的水平结构类似,均表现为西南—东北走向;同时,南海地区季节内变化信号表现出明显的向南传播的独特特征,并与东亚冬季风的季节内变化密切相关。北半球夏季,南海—菲律宾海地区10~20天低频振荡强度在厄尔尼诺发展年得到加强,而30~60天低频振荡强度则在拉尼娜衰减年得以加强。分析还指出,热带西北太平洋地区夏季热带辐合带附近的季节内变化,尤其是10~20天尺度变化,对季节平均海表温度异常有显著的反馈作用。     

热带大气中的准双周（10—20天）振荡

基于欧洲中期天气预报中心（ECMWF）的资料（1981—1988），本文对全球热带大气中的10—20天（准双周）振荡进行了比较系统的研究，包括其动能的分布及演变。扰动的结构和传播特征等。资料分析充分表明，热带大气10—20天振荡是热带大气中另一重要低频系统，其动能比30—60天振荡还要大，而其结构和活动又同30—60天振荡很不一样。例如热带大气10—20天振荡主要表现为纬向波数2—4；垂直结构以正压特征更显著；主要表现为向西传播；其经向风分量与纬向风分量同等重要。因此，对热带大气10—20天振荡值得更多注     

《青藏高原大气低频变化的研究》获奖

由国家气象局高原气象科学基金资助的《青藏高原大气低频变化的研究》,经过5年研究,取得显著效益,获得1992年国家气象局科学技术进步三等奖。该成果在青藏高原30—50天周期大气低频振荡观测事实研究方面.发现青藏高原是大气低频振荡的活跃区和重要源地之一;在动力诊断研究方面,指出大气低频振荡的扰动动能,来自平均西风气流的正压能量转换;在数值试验研究方面,指出在夏季流型下,青藏高原大地形的动力作用可以激发出低频振荡,其传播具有准定常 Rossby 波的     

NUMERICAL SIMULATION OF THE TROPICAL INTRASEASONAL OSCILLATION AND THE EFFECT OF WARM SST

An atmospheric general circulation model is used in a series of three experiments to simulate the intraseasonaloscillation in the tropical atmosphere.Analyses of the model daily data show that various physical variables,from sever-al different regions,exhibit fluctuations with a spectral peak between 30 and 60 days.This represents a 30—60 dayoscillation in the tropical atmosphere and possesses several features which are consistent with observations.These in-clude a horizontal structure dominated by zonal wavenumber 1 and a vertical structure which is predominantlybaroclinic.The effect of warm SST (sea surface temperature) anomalies on the 30—60 day oscillation in the tropical atmos-phere is also simulated by prescribing global SST as observed in 1983.This has the effect of weakening the oscillationwhile at the same time the vertical structure becomes less baroclinic.The importance of cumulus convection to the propagational characteristics of this oscillation is demonstrated by acomparison of results based on different parameterizations for convection.In one case,where the maximum convectionover the Pacific is simulated to be too far east,the simulated 30—60 day oscillation shows evidence of westward propa-gation.In the second case,where the convection maximum is located near the observed position in the western Pacific,there is more clearly evidence of eastward propagation.Both results suggest that the location of maximum convection in the Pacific can have an important influence on thestrength,structure and propagation of the 30—60 day oscillation.     

ANALYSIS ON THE SOURCE AND SINK OF KINETIC ENERGY OF ATMOSPHERIC 30-60 DAY PERIOD OSCILLATION AND THE PROBABLE CAUSES*

Based on ECMWF daily grid point data in summer(May-August),1981,the distribution features of the source and sink of kinetic energy of atmosphere 30-60 day oscillation,including its horizontal distribution characteristics and its vertical structure characteristics,are investigated systematically with diagnostic analysis methods over a latitude belt between 80°N and 60°S.Also,the probable reasons for the existence of the source and sink of low frequency kinetic energy(LFKE) are discussed preliminarily.Results show that the horizontal distribution of the sources and sinks of kinetic energy of atmospheric 30-60 day oscillation is extremely different.The significant sources and sinks of LFKE mainly exist in the oceans and the coastal regions of continents or islands in the mid-high latitudes.It is also found that,in the vertical direction,the sources and sinks of kinetic energy of 30-60 day oscillation display barotropic structure in the mid-high latitudes of both hemispheres,but dispaly baroclinic structure in the equtorial region,and in the horizontal direction,the sources and sinks mainly display zonal wave-like distribution.The source and sink of LFKE are determinded by ageostrophic wind effect,frictional effect,interaction between sub-grid-scale systems,nonlinear interaction,and the flux-divergence of LFKE transported by transient wind.There are some regional reasons for the generation of sources and sinks which are not completely identical in different areas.     

大气对南极冰异常的遥响应及其季节内振荡

运用ＩＡＰＡＧＣＭ模式证实了大气对南极冰异常的强迫遥响应是激发产生全球大气季节内振荡的重要机制,进而着重考察了候平均偏差结果的时间序列,并且通过带通滤波处理,特别分析了响应场中３０～６０ｄ低频振荡的特征及其活动。通过分析发现：大气对南极冰减退的响应是一种具有３０～６０ｄ周期的低频遥响应,并呈现出清楚的二维Ｒｏｓｓｂｙ波列特征;强迫场中的３０～６０ｄ季节内振荡具有着同实际大气中的低频振荡相类似的垂直结构和传播特征。大气响应场中３０～６０ｄ振荡能量在垂直方向上随高度的增加而增加,在纬向上表现出明显的区域性特征,即季节内振荡的最大动能区（由于ＣＩＳＫ机制）分布在大洋内;ＥＵＰ,ＰＮＡ,ＡＳＡ和ＲＳＡ波列可能是全球大气低频扰动传播的主要路径,３０～６０ｄ低频扰动在波列路径上的传播具有很大的一致性和系统性,从而使中高纬和热带地区、以及南北半球的３０～６０ｄ大气振荡相互联系起来,而且可以认为,赤道中太平洋和赤道中大西洋地区是南北半球３０～６０ｄ低频振荡间相互作用和相互联系的重要通道。     

30—60天大气振荡的全球特征

利用ECMWF格点资料,分析研究了大气季节内(30—60天)振荡的全球特征。30—60天振荡动能的分布表明高纬度地区要比赤道地区大得多。说明那里有较突出的30—60天振荡。中高纬度地区的30—60天振荡与热带有明显不同,垂直结构为正压模态,以纬向2—4波为主,多为向酉传播。30—60天振荡存在明显的低频遥相关,北半球主要为欧亚—太平洋(EAP)型和PNA型,南半球主要有澳洲—南非(ASA)型和环南美(RSA)型,并且在全球范围构成南北半球相互衔接的低频波列,即EAP-ASA波列和PNA-RSA波列。南北半球30—60天大气振荡有明显的相互影响,本文研究了南北半球30—60天振荡相互影响的3种主要过程。     

OLR资料所揭示的热带地区低频振荡的变化特征

本文使用1979年1月至1984年12月射出长波辐射(OLR)资料,对热带地区低频振荡的一些特性进行了研究,认为正常年份30—60天振荡的合成功率谱最强,El Nino年最弱。低频波活动冬夏差异较大,其年际变化大值区冬季在赤道地区,夏季位置偏北,位于印度洋和西太平洋。就六年平均而言,低频波在西太平洋及印度洋地区有明显的经向传播,赤道地区低频波的纬向传播主要集中在北半球夏季。此外,30—60天OLR滤波场的强弱与印度季风的爆发和减弱有较好的对应关系。      

POSSIBLE INFLUENCES OF THE TROPICAL INDIAN OCEAN DIPOLE ON THE EASTWARD PROPAGATION OF MJO

Based on multiple datasets, correlation and composite analyses, and case studies, this paper investigated possible influences of the Indian Ocean dipole （IOD） mode on the eastward propagation of intraseasonal oscillation in the tropical atmosphere. The results showed that （1） the 30-60 day outgoing longwave radiation anomalies in the southeastern Indian Ocean and the 30-60 day 850-hPa zonal wind anomalies over the equatorial central Indian Ocean were significantly correlated with the IOD index; （2） during positive IOD years, the anomalously cold water in the southeastern Indian Ocean and the 850-hPa anomalous easterlies over the equatorial central Indian Ocean might act as barriers to the continuously eastward propagation of the intraseasonal convection, which interrupts the Madden-Julian oscillation （MJO） propagation in the eastern equatorial Indian Ocean and western Pacific; and （3） during negative IOD years, the anomalously warm water in the southeastern Indian Ocean and the low-level westerly anomalies over the equatorial central Indian Ocean favor the eastward movement of MJO.     

A FURTHER INQUIRY ON 30-60 DAY OSCILLATION IN THE TROPICAL ATMOSPHERE

Based on the ECMWF data(1980-1983) and others, a further inquiry on the activities and the structure feature of 30-60 day oscillation in the tropical atmosphere has been completed. The following results are obtained:There is stronger perturbation kinetic energy of 30-60 day atmospheric oscillation(AO) in the equatorial eastern Pacific. This means the equatorial eastern Pacific is a stronger activity region of 30-60 day AO in the tropics. Analyses also show that the AO system with the time scale of 30-60 days might consist of various spatial scale disturbances. The zonal propagation of 30-60 day oscillation in the tropical atmosphere is not all eastward. Some differences are found for different spatial scales, and for propagations in upper and lower tropospheres. The meridional propagation of the oscillation is even more different in the various regions and might be related to the low-frequency wave train in the atmosphere. The stronger activities of 30-60 day AO in the equatorial middle-western Pacific are related to the El Nino events and the weaker ones are correspondent to the inverse El Nino phenomena.     

东亚夏季风降水中30—60天低频振荡

通过对东亚夏季风区域30年候降水量的分析研究可以看到,降水中30—60天低频振荡的季节变化与总的季风降水的季节变化具有明显的锁相关系,对季风雨带位置的出现起着重要的调制作用;降水低频振荡的年际变化对梅雨的年际变化也起着重要的调制作用;降水低频振荡呈现明显的由南向北的经向传播。     

THE VARIABILITY CHARACTERISTICS AND PREDICTION OF GUANGDONG POWER LOAD DURING 2002 - 2004

The variability characteristics of Guangdong daily power load from 2002 to 2004 and its connection to meteorological variables are analyzed with wavelet analysis and correlation analysis.Prediction equations are established using optimization subset regression. The results show that a linear increasing trend is very significant and seasonal change is obvious. The power load exhibits significant quasi-weekly (5 - 7 days) oscillation, quasi-by-weekly (10 - 20 days) oscillation and intraseasonal (30 - 60 days) oscillation. These oscillations are caused by atmospheric low frequency oscillation and public holidays. The variation of Guangdong daily power load is obviously in decrease on Sundays, shaping like a funnel during Chinese New Year in particular. The minimum is found at the first and second day and the power load gradually increases to normal level after the third day during the long vacation of Labor Day and National Day. Guangdong power load is the most sensitive to temperature, which is the main affecting factor, as in other areas in China. The power load also has relationship with other meteorological elements to some extent during different seasons. The maximum of power load in summer, minimum during Chinese New Year and variation during Labor Day and National Day are well fitted and predicted using the equation established by optimization subset regression and accounting for the effect of workdays and holidays.