全球变化背景下热带气旋主要变化特征及影响因素

热带气旋是可以影响全球中低纬度海域的气象现象。系统总结和回顾了国内外热带气旋的主要特征、潜在影响因素及影响机制的相关研究进展,并对其在全球变化背景下的变化趋势进行了总结和剖析。全球变暖以来,热带气旋的源地和路径都出现极移的趋势,移动速度略有增加,频率减小并且强度增大,但各大洋存在显著差异。重点回顾了火山活动、厄尔尼诺—南方涛动和太平洋年代际振荡、太阳辐射、热带辐合带以及气溶胶等因素对热带气旋的影响。其中,火山喷发导致平流层存在大量气溶胶,通过降低海表温度对热带气旋产生消极影响,但这种机制存在地域性差异;厄尔尼诺—南方涛动和太平洋年代际振荡以遥相关的方式调制全球热带气旋活动;太阳辐射和热带辐合带的变化与热带气旋频数存在相关性;气溶胶对不同发展阶段的热带气旋存在相反的影响机制。由于器测热带气旋数据在时间长度上和大部分替代指标在分辨率上的不足,严重制约了全球变化背景下热带气旋潜在影响因素的研究。未来可以通过寻找高分辨率记录载体来量化热带气旋活动历史,进一步解析热带气旋与潜在影响因素的关系,完善在气候波动影响下热带气旋活动的变化机制。     

“0506”华南持续性暴雨的季风环流背景

提出了确定东亚夏季风活动区域、划分热带季风和副热带季风活动区域的指标,利用大气对流层风速、位势高度、湿度、温度、OLR以及TBB等NCEP/NCAR资料,从月、候和过程平均多种时间尺度,诊断分析了2005年6月(简称“0506”)华南持续性暴雨的季风环流活动变化特征.结果表明:副热带高压强度偏强,西脊点位置偏西偏南,热带西太平洋(130°～140°E)区域越赤道气流偏强,华南处于气旋性低压异常区,无论是月时间尺度还是暴雨过程时间尺度都表现出这些明显特征;暴雨过程水汽除了来源于孟加拉湾和南海外,水汽通量异常部分主要来自南海和热带西太平洋,热带西太平洋水汽随着副高边缘气流经过南海向华南输送,从而为暴雨过程提供了丰富的水汽来源;2005年6月热带季风前沿在华南沿海地区停滞时间比气候平均偏长(2候),该特征是华南暴雨预报值得参考的信号;6月整个南海地区平均季风偏强,主要体现于经向风明显偏强,但华南持续性暴雨过程开始于南海地区夏季风非活跃期,这与热带季风季节内振荡向北传播到华南有关.以上季风活动变化特征为华南强降水提供了有利的动力条件和丰富的水汽来源.     

中国沿海登陆热带气旋活动特征分析

热带气旋是危害中国最严重的天气系统,分析和认识中国沿海登陆热带气旋活动的新特征对防灾减灾具有重要意义。依据近70年气象资料,采用统计学方法,对登陆中国沿海的热带气旋特征进行分析,研究发现:在气候变化的背景下,登陆中国的热带气旋发生了明显变化。近年台风登陆频数高于往年平均,其整体强度和最大值均呈增大趋势,年台风强度的不稳定性加剧;研究还发现台风强度越高,其生成地纬度带范围越窄且越靠近赤道;建立了高强度热带气旋（STY和SUPER TY）时间和纬度的关系"φ—m"。检验了台风季长与初旋日呈负相关且不受厄尔尼诺现象影响,台风季长符合正态分布并给出概率密度公式。     

全球海平面变化研究新进展

综述了近10年来海平面变化研究的主要成果，分析了影响海平面变化的主要因素，探讨了海平面变化研究中存在的一些问题。结果表明：①近10年全球平均海平面上升幅度大约为2.5~3.84 mm/a，热膨胀是引起海平面上升的主因；②海平面变化具有时空分布差异——西太平洋和东印度洋地区上升最快，其值高出全球平均值的10倍以上；大西洋与太平洋30~40°N地区季节变化最明显；③将海平面季节高值时段与北半球热带气旋出现时间进行对比，发现每年8~10月份，在20~50°N的西北太平洋与北大西洋沿岸地区出现海平面最高值与热带气旋相叠加的全球危险海岸带，该地带包括中国大陆东部、日本沿海地区、美国东部海岸带、墨西哥湾地区和加勒比海地区。     

ENSO-7赤道西太平洋异常纬向风所驱动的热带太平洋次表层海温距平的循环

近几年的一系列分析研究表明，ENSO与异常东亚冬季风之间有相互影响，持续的强（弱）东亚冬季风通过引起赤道西太平洋地区的西（东）风异常对El Niño/La Niña的发生起着重要作用；赤道太平洋次表层海温异常（SOTA）的年际变化（循环）与ENSO发生有密切关系；ENSO的真正源在西太平洋暖池，暖池正（负）SOTA沿赤道温跃层东传到东太平洋，便导致El Niño/La Niña的爆发；在暖池正（负）SOTA沿赤道东传的同时，有负（正）SOTA沿10°N和10°S纬度带向西传播，从而构成SOTA的循环；热带太平洋SOTA循环的驱动者是赤道西太平洋的异常纬向风。进而可以认为：ENSO实质上是主要由异常东亚季风引起的赤道西太平洋异常纬向风所驱动的热带太平洋次表层海温距平的年际循环。     

积雪大尺度气候效应综述

本综述了积雪大尺度气候效应研究在相关分析、天气气候学诊断以及数值以得的重要进展、评论了前人研究中存在的主要问题，强调指出准确而详尽的积雪空间分布、季节变化与年际波动是揭示积雪对气候影响物理机制所必不可缺少的。向欧亚大陆或青藏高原积血可对东亚季风产生持续性影响这一被广泛接受的看法提出了挑战。全球海气异常，东亚季风和欧亚大陆积雪之间的相互关系，有待用真实的积雪变化做进一步探讨。     

问与答

问台风是怎样的天气系统?有何影响? 答台风是发生在热带洋面上,具有暖中心结构的、强烈的热带气旋。由于这种热带气旋即台风生成的地区和强度不同,人们给予了不同的名称和分类,如在东太平洋和大西洋称为飓风,在印度洋则称为热带风暴。我国国家气象局按其中心附近最大风力进行划分:其中心附近最大风力为6～7级被称为热带低压;8～9级为热带风暴;10～11级为强热带风暴;12级以上为台风。其中生成于西太平洋或南海的台风,对我国的降水有直接影响。     

赤道西太平洋晚第四纪古生产力变化: ODP 807A孔的记录

通过研究翁通-爪哇海台ODP807A孔顶部岩心微体古生物和有孔虫同位素的变化, 探讨冰期旋回中赤道西太平洋晚第四纪古生产力的变化.多种古生产力替代指标揭示出赤道西太平洋古生产力自深海氧同位素13期以来总体呈升高趋势, 具有冰期高、间冰期低的特征.温跃层替代指标显示该海域温跃层变化不具有简单的冰期-间冰期变化模式, 而是分为2个阶段: 280ka以前温跃层平均深度较浅, 呈现高幅低频波动; 280ka以后温跃层平均深度变深, 呈现低幅高频波动.古生产力和温跃层变化模式的明显差异说明温跃层变化不是赤道西太平洋表层生产力波动的主要原因.807A孔古生产力变化与西北太平洋风尘通量变化基本一致, 所以提出来自亚洲中东部的风尘对于提高赤道西太平洋生物生产力可能具有重要意义.      

面向灾害风险评估的热带气旋路径及强度随机模拟综述

历史热带气旋记录时间序列较短空间差异大,热带气旋灾害风险评估经常面临样本不足,特别是超强台风及巨灾记录历史样本的问题,从而导致传统概率统计方法失效。过去20多年来,逐渐发展出一套完整的方法体系进行热带气旋路径及强度随机模拟,其特点是充分利用历史总体样本信息,生成大量符合历史样本特征的热带气旋路径及强度随机事件样本集,从而有效地解决了局地历史样本不足的问题。在回顾热带气旋的年频次、季节分布、路径分布、强度及影响范围时空规律研究进展基础上,系统综述了用于热带气旋路径及随机模拟的起始点模型、行进模型、终止点模型、洋面强度模型、陆地衰减模型及结果检验方法等领域的进展及不足,然后对其在世界各地的应用进行了概述,并对未来研究改进方向及应用领域进行了展望。     

西北太平洋热带风暴活动及其影响

在翔实资料统计的基础上,分析了西北太平洋热带风暴的一般特征、活动阶段、源地及活动区、强度、寿命等,讨论了热带风暴致灾的主要因素,介绍了在我国登陆台风的年际变化、年内变化、登陆地区分布以及历史上几次强台风的登陆及灾害损失情况.     

The influence of large-scale circulations on the extremely inactive tropical cyclone activity in 2010 over the western North Pacific

This study attempts to understand why the frequency of tropical cyclones (TC) over the western North Pacific (WNP) was a record low during the 2010 season, by analyzing the effect of several large-scale factors. The genesis potential index (GPI) can represent, to some extent, the spatial distribution of formation in 2010. However, the GPI does not explain the extremely low TC frequency. No robust relationship between the TC number and El Niño Southern Oscillation (ENSO) was found. A comparison of the extreme inactive TC year 2010 and extreme active year 1994 was performed, based on the box difference index that can measure the quantitative difference of large-scale environmental factors. Dynamic factors were found to be important in differentiating TC formation over the WNP basin between 2010 and 1994. The remarkable difference of monsoon flows in the WNP basin between these two years may be the cause of the difference in TC formation. The unfavorable conditions for TC genesis in 2010 may have also been due to other large scale factors such as: (1) weak activity of the Madden-Julian Oscillation during the peak season; (2) warming of the sea surface temperature in the tropical Indian Ocean during the peak season, causing the development of an anticyclone over the WNP basin and associated with the westward motion of the monsoon trough, and (3) the phase change of the Pacific Decadal Oscillation (more negative) and the two strong La Niña events that have evolved since 2006.     

West North Pacific typhoon track patterns and their potential connection to Tibetan Plateau snow cover

The spatial characteristics and temporal variability of the West North Pacific (WNP) typhoon tracks are studied by analyzing the spatial pattern and temporal variability of the empirical orthogonal functions (EOFs) of the WNP typhoon track density function (TTDF) from 1945 to 2004. The results show that WNP typhoon tracks exhibit three principal EOF Modes. The first EOF Mode represents the contrasting “active” versus “inactive” typhoons defined by the overall frequency and life span of the typhoons that develop in the WNP basin. The second EOF shows a north–south dipole Mode in the TTDF depicting a seesaw pattern in typhoon frequency between Northeast Asia and Southeast Asia. The third EOF describes an east–west dipole Mode in TTDF depicting a zonal seesaw pattern between typhoons that tend to make landfalls in East Asia and typhoons that tend to stay away from the East Asia landmasses. Further analysis of the EOF time series of the WNP TTDF indicates that an important climatic factor associated with the WNP typhoon activity is the snow cover over the Tibetan Plateau (TP), which is also correlated with the East Asia summer monsoon (EASM). Thus, a mechanism linking the TP snow cover and the WNP typhoon activity is the response of the EASM in the WNP region to the TP snow cover, and the subsequent effect of EASM on the development and steering of the WNP typhoons.     

Energetics of lower tropospheric ultra-long waves: A key to intra-seasonal variability of Indian monsoon

Analysis of fifty four (1951–2004) years of daily energetics of zonal waves derived from NCEP/NCAR wind (u and υ) data and daily rainfall received over the Indian landmass (real time data) during southwest monsoon season (1 June–30 September) indicate that energetics (momentum transport and kinetic energy) of lower tropospheric ultra-long waves (waves 1 and 2) of low latitudes hold a key to intra-seasonal variability of monsoon rainfall over India. Correlation coefficient between climatology of daily (122 days) energetics of ultra-long waves and climatology of daily rainfall over Indian landmass is 0.9. The relation is not only significant but also has a predictive potential. The normalised plot of both the series clearly indicates that the response period of rainfall to the energetics is of 5–10 days during the onset phase and 4–7 days during the withdrawal phase of monsoon over India. During the established phase of monsoon, both the series move hand-in-hand. Normalised plot of energetics of ultra-long waves and rainfall for individual year do not show marked deviation with respect to climatology. These results are first of its kind and are useful for the short range forecast of rainfall over India.     

District-wide drought climatology of the southwest monsoon season over India based on standardized precipitation index (SPI)

District-wide drought climatology over India for the southwest monsoon season (June–September) has been examined using two simple drought indices; Percent of Normal Precipitation (PNP) and Standardized Precipitation Index (SPI). The season drought indices were computed using long times series (1901–2003) of southwest monsoon season rainfall data of 458 districts over the country. Identification of all India (nation-wide) drought incidences using both PNP and SPI yielded nearly similar results. However, the district-wide climatology based on PNP was biased by the aridity of the region. Whereas district-wide drought climatology based on SPI was not biased by aridity. This study shows that SPI is a better drought index than PNP for the district-wide drought monitoring over the country. SPI is also suitable for examining break and active events in the southwest monsoon rainfall over the country. The trend analysis of district-wide season (June–September) SPI series showed significant negative trends over several districts from Chattisgarh, Bihar, Kerala, Jharkhand, Assam and Meghalaya, Uttaranchal, east Madhya Pradesh, Vidarbha etc., Whereas significant positive trends in the SPI series were observed over several districts from west Uttar Pradesh, west Madhya Pradesh, South & north Interior Karnataka, Konkan and Goa, Madhya Maharashtra, Tamil Nadu, East Uttar Pradesh, Punjab, Gujarat etc.     

Analysis of the Characteristics of Turbulent Flux and Its Footprint Climatology at An Agricultural Site

Based on quality controlled data from eddy covariance system and automatic weather station collected at Guantao farmland site from 2008 to 2010, the characteristics of diurnal, seasonal and annual variations of turbulent flux were reported. The corresponding source areas of flux measurement at different temporal scales were analyzed in detail, using arithmetic-averaged and flux-weighted footprint climatology calculation method, respectively. The main findings are as follows. Firstly, sensible heat and latent heat flux both show consistent diurnal variation throughout the year, while CO₂ fluxes only have significant diurnal variation in growing season with an opposite trend. The seasonal variation of the turbulent flux is mainly affected by the crop type and its growth status in different phenological periods. During growing season, latent heat flux and CO₂ flux are the dominant flux exchange items whose value are significantly higher in their middle growth stage than other ones during which latent heat and CO₂ flux exchange of the summer corn is stronger than winter wheat. Secondly, with combined effects of wind, turbulence and surface condition, the source area of flux measurement change most significantly at daily scale, less obvious at seasonal scale and smallest at annual scale. Finally, compared with arithmetic-averaged footprint climatology method, flux-weighted footprint climatology is a more reasonable method to calculate the source areas of the flux measurement, in that they account for the time change of the actual turbulent flux. The arithmetic-averaged results are most likely to overestimate the size of source area during small observed flux due to its weak turbulent exchange.     

Indonesian rainfall variability during Western North Pacific and Australian monsoon phase related to convectively coupled equatorial waves

The Indonesian archipelago which has over 15,000 islands, lies in the tropics between Asia and Australia. This eventually alters the rainfall variability over the region, which was influenced by the Asian-Australian monsoon and controlled by intraseasonal variabilities such as convectively coupled equatorial waves (CCEW), i.e., Kelvin, n?=?1 equatorial Rossby (ER), mixed Rossby gravity (MRG), and n?=?1 Westward inertio gravity (WIG), including the Madden–Julian Oscillation (MJO). This study examines a 15-year 3B42 data for trapping CCEW and MJO in the region of Indonesia during both active and extreme Western North Pacific (WNP) and Australian (AU) monsoon phases, which are then compared with 30-year rainfall anomalies among 38 synoptic stations over Indonesia. The space–time spectral analysis is employed to filter each wave including the MJO in the equator, then proceeding with the empirical orthogonal function (EOF) method to seek each wave peak which then coincides with WNP and AU monsoon peaks over Indonesia. It is concluded that an extreme monsoon classification has proven to control rainfall activity related to the CCEW and MJO at 60.66% during December through February (DJF)-WNP for only the significant wave perturbation value. Meanwhile, the CCEW and MJO significantly increase/decrease precipitation at Day 0 for about 37.88% from the total of Day 1st to Day end. Although the contribution of the CCEW and MJO does not profoundly influence rainfall activity during monsoon phase over Indonesia, they still modulate weather condition for more than 50%. On the other hand, a complex topography with a number of land–sea complexities is capable of influencing the rainfall variability in the region as a negative relationship is associated with the CCEW and MJO either during DJF-WNP or July through August (JAS)-AU monsoon phase.     

东亚冬、夏古季风变化的相位差及热带太平洋在季风变化中的驱动作用

斋堂黄土剖面古气候记录表明：１)冬、夏季风在千年尺度上的变化存在相位差；２)冬、夏季风记录在变化趋势上具有互为消长的关系，而在变化幅度和频率方面则有明显的差异。这表明，冬、夏季风在千年尺度上的变化是分别由不同的因素和过程所控制。我们提出热带太平洋海气相互作用系统在东亚季风变化过程中起着直接的驱动作用。     

全球季风和季风边缘研究

全球卫星探测和观测资料的积累,使以南海季风、亚洲季风为代表的季风研究兴起了一波研究热潮。区域季风认识的深入,推动了全球季风认识的发展,全球季风概念在20世纪末被提出来,并在21世纪初成为热点研究方向。季风边缘是与全球季风密切相关的概念,东亚夏季风北边缘的近期演变与全球季风过去几十年的减弱有关。全球季风的演变表现为分布全球的大气活动中心和季风槽的活动,[JP2]这些成员组成了一个完整的全球季风系统。按照上述季风研究的发展脉络,系统地总结全球季风和季风边缘研究的进展,并提出未来季风研究的方向会把全球大气活动中心与全球气候槽,包括全球季风槽联系起来,即从季风系统着手研究全球季风的年代际和世纪尺度变率。     

Some characteristics of very heavy rainfall over Orissa during summer monsoon season

Orissa is one of the most flood prone states of India. The floods in Orissa mostly occur during monsoon season due to very heavy rainfall caused by synoptic scale monsoon disturbances. Hence a study is undertaken to find out the characteristic features of very heavy rainfall (24 hours rainfall ≥125 mm) over Orissa during summer monsoon season (June–September) by analysing 20 years (1980–1999) daily rainfall data of different stations in Orissa. The principal objective of this study is to find out the role of synoptic scale monsoon disturbances in spatial and temporal variability of very heavy rainfall over Orissa. Most of the very heavy rainfall events occur in July and August. The region, extending from central part of coastal Orissa in the southeast towards Sambalpur district in the northwest, experiences higher frequency and higher intensity of very heavy rainfall with less interannual variability. It is due to the fact that most of the causative synoptic disturbances like low pressure systems (LPS) develop over northwest (NW) Bay of Bengal with minimum interannual variation and the monsoon trough extends in west-northwesterly direction from the centre of the system. The very heavy rainfall occurs more frequently with less interannual variability on the western side of Eastern Ghat during all the months and the season except September. It occurs more frequently with less interannual variability on the eastern side of Eastern Ghat during September. The NW Bay followed by Gangetic West Bengal/Orissa is the most favourable region of LPS to cause very heavy rainfall over different parts of Orissa except eastern side of Eastern Ghat. The NW Bay and west central (WC) Bay are equally favourable regions of LPS to cause very heavy rainfall over eastern side of Eastern Ghat. The frequency of very heavy rainfall does not show any significant trend in recent years over Orissa except some places in north-east Orissa which exhibit significant rising trend in all the monsoon months and the season as a whole.