东亚夏季波列经验正交函数分析

利用经验正交函数作为分析工具,利用500 hPa高度场资料针对东亚地区波列出现情况进行研究,得出结论如下：（1） 从东西伯利亚上游经鄂霍茨克海到日本东部海面的波列（OKJ波列）在初、仲夏（6—7月）的信号很强,为欧亚范围内最主要的分布类型。（2） 从菲律宾经日本到北美的波列（P-J波列）可在整个夏季（6—8月）具有相当强的信号,虽然均表现为第二特征向量分布,贡献率与6—7月欧亚范围内第一特征向量表现OKJ波列的相当。（3） 合成分析表明OKJ和P-J类波列在某种程度上可以共存。     

青藏高原地形对5、6月北半球环流影响数值模拟

利用NCAR CAM3.1模式进行了有无青藏高原地形的试验,通过两组试验结果的比较,研究了青藏高原地形对5、6月北半球500 hPa环流的影响。结论如下:春末夏初在北半球存在类似Rossby波列状的距平中心,5月波列产生于高原北侧的蒙古附近,途经鄂霍次克海、阿留申地区,到达北美西海岸;6月,由于西风急流北移、减弱及高原上空的非绝热加大,波列的产生地移至高原西北侧的巴尔喀什湖附近,强度减弱,造成该波下游的鄂霍次克海、勘察加半岛、阿拉斯加海域的强度相应减弱。另外,5月在鄂霍次克海和日本以东洋面附近的异常中心类似于负位相的OKJ波列,可以视为对正位相OKJ波列东段形成抑制作用;6月由于鄂霍次克海附近的负异常强度很弱,对OKJ波列东段的抑制作用很弱。     

北大西洋多年代际振荡正、负位相期间欧亚夏季副热带波列季节内活动特征及与印度降水的联系

利用美国国家环境预测中心与国家大气研究中心（NCEP/NCAR）逐日再分析资料,针对北大西洋多年代际振荡（AMO）两个不同位相,对逐候200 hPa经向风异常进行EOF分析,发现在AMO正、负位相期间,欧亚副热带波列的季节内活动存在明显差异。利用超前—滞后回归,对比了不同AMO位相下副热带波列及其相联系的印度夏季降水的季节内活动演变特征,分析有关的大气环流,探究波列影响降水的机制。结果表明:在AMO负位相期间,由格陵兰岛以南北大西洋经大不列颠岛、地中海、黑海—里海向南亚北部传播的副热带波列的季节内演变,在印度中部引起下沉,导致中部及西北部季节内降水减少,波列负位相相反;在AMO正位相期间,副热带波列西起冰岛以南北大西洋经丹麦南部、俄罗斯西部、中亚向南亚东北部传播,对应该波列的季节内演变,辐合上升区在印度中部和东西两侧,使得该区域季节内降水增加,波列负位相相反。于是,AMO通过调制夏季欧亚副热带波列的季节内活动,可以对印度夏季降水的季节内变化空间型及演变发挥显著影响。     

The two responses of the East-Asian atmospheric circulation in early summer to the preceding El Nino event and their influence on the rainfall over China

利用NCEP/NCAR提供的月平均850、500 hPa位势高度场和风矢量场资料及NOAA气候诊断中心的海温扩展重建资料,同时利用NCEP的CAM3.0模式对厄尔尼诺气候效应进行了分析.外强迫为赤道东太平洋的异常海温,从9月积分至次年6月,对此进行了模拟,结果表明:(1)冬季厄尔尼诺达到强盛后对次年东亚初夏的环流有明显的影响,表现在低层菲律宾附近反气旋环流的增强和中高纬度OKJ类波列(主要为鄂霍次克海—日本东部—日期变更线以西副热带高压北部的波列)的活跃,而后者更容易被模拟,这两种环流方面的影响都能在资料中检测出来.当这两种异常环流的发展被模拟出来时,长江以南地区的多雨状态也能够被模拟,表明厄尔尼诺发生后,其对夏季风的发生、发展有滞后作用,从而加强向中国南方的水汽输送,但至6月由于OKJ波列的发展使波活动通量在北太平洋中西部产生大面积强烈散射使副热带高压偏南,因而又抑制了夏季风的进一步向北推进,从而只停留在长江及其以南地区,这可能是致使降水南多北少的原因之一;(2)中国南方降水多寡受到鄂霍次克海高压及菲律宾反气旋的共同影响,两者任何一方加强时南方降水增多,反之亦然.近年来受鄂霍次克海高压的影响更为突出,鄂霍次克海高压、南北方降水、厄尔尼诺事件以及菲律宾反气旋都存在相近似但又各自不同的年代际变化规律,其共同影响与中国南涝北旱的年代际降水格局变化有密切关系.     

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。     

江淮流域持续性暴雨过程前期的欧亚波列特征及其模拟研究

利用50余年的NCAR/NCEP再分析资料,对江淮流域持续性暴雨过程前期的环流特征进行了相关与合成分析。发现在过程前2—1周的对流层中高层西风带上,中西亚、中国东部沿海和白令海南侧相继有低压槽发展,呈现显著的罗斯贝波列信号特征。分析表明,正是该欧亚波列的东传和消失伴随的环流调整,导致了有利于持续性暴雨产生的稳定环流的形成。进一步采用区域数值模式检验了该波列特征对后期持续性暴雨的作用和影响过程,以1991年一次典型的江淮流域持续性暴雨过程为例,根据欧亚波列信号特征设计一组初始流场扰动,进行初值集合模拟试验。结果表明,过程强雨带及其环流背景的模拟对于初始场上欧亚波列信号区的扰动特征是相当敏感的,该初始扰动对模拟环流的后继影响,与持续性暴雨期间稳定环流特征的建立和维持确有密切关系。     

初夏东亚环流对厄尔尼诺的两种响应过程及其对中国降水的影响

利用NCEP/NCAR提供的月平均850、500 hPa位势高度场和风矢量场资料及NOAA气候诊断中心的海温扩展重建资料,同时利用NCEP的CAM3.0模式对厄尔尼诺气候效应进行了分析。外强迫为赤道东太平洋的异常海温,从9月积分至次年6月,对此进行了模拟,结果表明:(1)冬季厄尔尼诺达到强盛后对次年东亚初夏的环流有明显的影响,表现在低层菲律宾附近反气旋环流的增强和中高纬度OKJ类波列(主要为鄂霍次克海—日本东部—日期变更线以西副热带高压北部的波列)的活跃,而后者更容易被模拟,这两种环流方面的影响都能在资料中检测出来。当这两种异常环流的发展被模拟出来时,长江以南地区的多雨状态也能够被模拟,表明厄尔尼诺发生后,其对夏季风的发生、发展有滞后作用,从而加强向中国南方的水汽输送,但至6月由于OKJ波列的发展使波活动通量在北太平洋中西部产生大面积强烈散射使副热带高压偏南,因而又抑制了夏季风的进一步向北推进,从而只停留在长江及其以南地区,这可能是致使降水南多北少的原因之一;(2)中国南方降水多寡受到鄂霍次克海高压及菲律宾反气旋的共同影响,两者任何一方加强时南方降水增多,反之亦然。近年来受鄂霍次克海高压的影响更为突出,鄂霍次克海高压、南北方降水、厄尔尼诺事件以及菲律宾反气旋都存在相近似但又各自不同的年代际变化规律,其共同影响与中国南涝北旱的年代际降水格局变化有密切关系。     

The Rossby wave train patterns forced by shallower and deeper Tibetan Plateau atmospheric heat-source in summer in a linear baroclinic model

观测结果表明,在夏季青藏高原高层大气热源(TPUHS)的发展和衰减阶段(高原热源由浅向深发展),北半球的环流异常表现出不同的Rossby波列型。本研究利用线性斜压模式LBM来探究深浅TPUHS的波列效应。模拟结果表明,深浅TPUHS能强迫出不同的Rossby波列型,而且波列型与观测结果相似。对应浅的TPUHS,Rossby波列型从青藏高原延伸至美国西海岸;而对应深的TPUHS,Rossby波列型从青藏高原延伸至阿拉斯加。     

利用RegCM4.0模拟5-8月青藏高原异常加热的下游效应

利用区域气候模式,通过在青藏高原范围设置三种不同强度的大气异常加热率,讨论了5-8月青藏高原加热异常对同期大气环流的影响。研究结果表明:(1)5月份,以4 K·d-1的速率加热高原大气12天后,500 hPa位势高度异常在鄂霍次克海附近为正值区、中国东北及堪察加半岛以南为负值区,出现了疑似波列结构,但200 hPa呈西正东负的二极分布。6月份这种波列结构更加明显,200 hPa形成了完整的类Okhotsk-Japan(OKJ)波列型。(2)在其他月份未出现类似的波列结构。7月,蒙古至鄂霍次克海及日本以东一带地区200 hPa和500 hPa的负位势高度异常连成一片;8月,日本以东地区转为正值中心、鄂霍次克海附近仍维持负异常。(3)随着异常加热的增强,沿6月波列传播路径上的各点的位势高度异常振幅基本成比例增加。(4)射线追踪分析结果显示,5、6月份的波射线路径分布类似,模拟路径位于纬向波数为3和4对应的射线轨迹之间。     

山西省夏季年际气候异常研究2．北少（多）南多（少）雨型

采用EOF分解和合成分析方法研究了1960-2003年山西夏季降水异常之北少(多)南多(少)型(第二类雨型)和山西省气温的变化异常.结果表明,两者具有较好的对应关系.分析了第二类异常雨型的时空分布,并给出相应的典型年份.EOF时间系数变化特征揭示了山西夏季降水第二类雨型有显著的年际振荡.利用合成分析,从500hPa位势高度场、纬向风、850hPa风场、700hPa水汽场和水汽输送场等物理量场研究了山西夏季第二类雨型的环流异常特征.结果表明,第二类雨型与弱的东亚夏季风相关联,北多南少和北少南多是弱夏季风的不同表现.山西省夏季降水北多南少年副高呈带状分布,位置偏北,强度较强;中高纬度地区异常波列呈大圆路径分布,在高纬度地区存在纬向排列的- -波列,同时在东亚大陆沿岸存在经向排列的- -波列.并且华北北部有西风异常,北支锋区偏北,由西南向东北水汽输送较强.北少南多年与之相反.海温场分析表明,第二类雨型与中北太平洋海温异常紧密相关.     

Group Velocity of Anisotropic Waves-Part Ⅱ: Conservative Properties

It has been argued in Part I that traditional expression of multidimensional group velocity used in meteorology is only applicable for isotropic waves. While for anisotropic waves, it cannot manifest propagation of waves group along the trajectory of a reference wave point, and varies with rotation of coordinates. The general mathematical expression of group velocity which may be used also for anisotropic waves has been derived in Part I. It will be proved that the mean wave energy, momentum and wave action density are all conserved as a wave group propagates at the general group velocity. Since general group velocity represents the movement of a reference point in either isotropic or anisotropic wave trains, it may be used to define wave rays. The variations of wave parameters along the rays in a slowly varying environment are represented by ray-tracing equations. Using the general group velocity, we may derive the anisotropic ray-tracing equations, which give the traditional ray-tracing equations for     

Group velocity of anisotropie waves—Part II: Conservative properties

It has been argued in Part I that traditional expression of multidimensional group velocity used in meteorology is only applicable for isotropic waves. While for anisotropic waves, it cannot manifest propagation of waves group along the trajectory of a reference wave point, and varies with rotation of coordinates. The general mathematical ex-pression of group velocity which may be used also for anisotropic waves has been derived in Part I. It will be proved that the mean wave energy, momentum and wave action density are all conserved as a wave group propagates at the general group velocity. Since general group velocity represents the movement of a reference point in either isotropic or anisotropic wave trains, it may be used to define wave rays. The variations of wave parameters along the rays in a slowly varying environment are represented by ray-tracing equations. Using the general group velocity, we may de-rive the anisotropic ray-tracing equations, which give the traditional ray-tracing equations for isotropic waves.     

An ocean wind-wave climatology for the Southern Brazilian Shelf. Part II: Variability in space and time

Previously validated model results were used to characterize the wave climate over the Southern Brazilian Shelf (SBS). The low mean significant wave height over the western South Atlantic shelves was shown together with examples of cyclone-induced extreme wave fields and other typical wave conditions. The mean offshore spectra showed a bimodal shape with a predominance of S/SSW and ENE/E waves with distinctive interannual rising periods in wave energy density. Along-shelf wave energy gradients were seen near the coast with higher energy located off capes and coastal projections and energy minima between them. A considerable drop in wave energy suggests the 40 m depth as the mean wave base and consequently the lower limit of the SBS shoreface. The upper shoreface mean wave energy density varied abruptly along the shelf in response to differences in bottom declivities. The large and shallow shoreface was responsible for an intense refraction of the waves and hence very small angles of attack. Additionally, it was shown the sheltering effect caused by capes and coastal projections and a remarkable north/south energy asymmetry between them, caused by a windowing on the wave propagation to the shore. Altogether, it was possible to state that bottom friction plays a major role in wave differentiation along the SBS shoreface, thus suggesting that shelf morphology might indeed be more important to generate wave variability than the offshore wave variation itself.     

Wind and Wave Data Analysis for the Aegean Sea - Preliminary Results

In this paper, a statistical analysis on wind and wave buoy measurements and wind and wave model forecasts obtained during a two-year period (1999-2001) is presented with reference to four characteristic near-shore sites of the Aegean Sea. The measurements are a main product of the "POSEIDON" system aiming at the monitoring and forecasting of the state of the Greek seas, operated by the National Centre for Marine Research (NCMR). Although the two-year period is rather short for a thorough analysis of the local wind and wave climate, yet the obtained results, presented herein for the first time, reveal some interesting features of the corresponding wave and wind characteristics. Comparisons between the measurements and the forecast results are also performed at the locations under consideration. It is found that (i) wind speeds obtained from the POSEIDON weather forecasting system are, in general, in agreement with the measurements, except for high wind speeds which are systematically underestimated, (ii) the WAM model can successfully follow the monthly and over year trend of the evolution of wind and wave characteristics, but face significant problems for efficient sea-state forecasting. Finally, the overall pattern of the wind/wave climate for the entire Aegean Sea as obtained from the models is presented by means of the spatial distribution of the mean annual wind and sea-state intensity.     

Using the SWAN Wave Model and Satellite Altimeter Data to Study the Influence of Climate Change at the Coast

This paper describes the development and application of a technique for using satellite altimeter measurements as boundary data to drive the nearshore spectral wave model, SWAN. The aim was to assess the impact in coastal areas of extreme events or changes in offshore climatology and to extend the usefulness of satellite altimetry further inshore.

For the purpose of verifying the technique, three test areas where both bathymetry and some in situ data were available were chosen. The technique could, potentially, be applied to any coastal location where there is bathymetric information although, as the results reported in this paper show, intelligence must be used in adapting the methodology for different sites. It is also necessary to have information on the local wind field from either models or measurements.

The experiments at the three test areas demonstrated that there is not a simple relationship between the offshore wave height climate and the inshore climate in a particular region. Important complicating factors are bathymetry, tidal range and incident wave angle. As was most clearly demonstrated in the Carmarthen Bay test area, bathymetric complexity leads to high spatial variation in the amount of wave energy dissipated close to the coast. In the study of extreme wave events described in this paper the exact value of the local wind field was not found to be critical.

This work was a first trial combining wave climatology derived from satellite altimetry with a third generation coastal wave model so was necessarily experimental. The general trends and patterns of spatial variation obtained are encouraging but there remains significant, unquantifiable uncertainty in the results. Better observations of nearshore waves, improved understanding of the joint probability distribution of water level and waves as well as more knowledge of future climate change would all improve accuracy.     

用Lagrange函数平均法研究非均匀基流中的地形Rossby波

本文提出可以用平均限制性变分原理来研究非均匀基流中地形对Rossby波的影响。所得到的结果与用多重尺度法相一致,但却避免了多重尺度法中的冗繁运算,而且物理意义更加清楚,诸如波作用量密度、波能密度等物理量的定义也更自然、合理。     

西北太平洋海域风浪、涌浪、混合浪波浪能资源特征

用ECMWF的ERA-40海浪再分析资料,应用波浪能流密度计算方法,对西北太平洋海域的风浪能、涌浪能、混合浪能展开研究。结果表明:(1)波浪能流密度呈现出显著季节性差异。混合浪能流密度表现为冬高夏低;春、夏、秋季的涌浪能流密度明显大于风浪能流密度,冬季相反;(2)混合浪能流密度的大值区主要分布于阿留申群岛附近海域,高值中心可达60 kW/m以上;近海的大值区主要分布于琉球群岛—巴士海峡—传统的南海大风区一带,年平均值在4 kW/m以上,南海北部可达12 kW/m以上;(3)黄渤海的涌浪和混合浪能流密度峰值出现在8—9月,波谷出现在6月。风浪能流密度峰值出现在11月—次年3月,波谷出现在6—8月,均呈现双峰型月变化特征。东海、南海北部、南海中南部海域能流密度的月变化特征相似,都为双峰型,12月—次年4月的能流密度整体较高,波峰出现在12月,波谷出现在5—7月;(4)2 kW/m以上混合浪能流密度出现的频率较高,近海低于大洋;(5)0.5 m以上有效波高出现的频率都非常高,中国近海稍低于大洋;(6)涌浪能流密度的稳定性明显好于风浪能流密度;大洋的能流密度稳定性明显强于近岸。1月份能流密度的稳定性最好,4月和7月次之,10月的稳定性最差。     

波包传播诊断的理论基础和计算方法

文中提出了一种新的利用实际观测资料研究波包传播的诊断方法 (WPD) ,并通过理想资料和实际资料的计算证明了该方法的可用性和广泛性     

正压准共振三波能量和拟能的传输

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