印度洋海温异常与南亚高压东西振荡的关系

利用1952～2001年的印度洋海表温度资料、NCEP／NCAR的高度场资料,采用小波分析、交叉谱分析等方法,讨论了印度洋海温偶极子指数与南亚高压东西振荡的关系。结果表明：印度洋偶极子指数与南亚高压存在明显的负相关,且春季印度洋偶极子指数对同年夏季南亚高压的东西振荡有一定指示作用。印度洋偶极子指数与南亚高压东伸指数均存在8a左右显著时间尺度。两者在1．5～8a的周期上存在密切联系,在3a左右的周期上,印度洋偶极子指数变化超前于南亚高压东伸指数,说明印度洋海温异常是影响南亚高压东西振荡的重要因素之一。     

印度洋海温异常与南亚高压东西振荡的关系

利用1952~2001年的印度洋海表温度资料、NCEP/NCAR的高度场资料,采用小波分析、交叉谱分析等方法,讨论了印度洋海温偶极子指数与南亚高压东西振荡的关系。结果表明:印度洋偶极子指数与南亚高压存在明显的负相关,且春季印度洋偶极子指数对同年夏季南亚高压的东西振荡有一定指示作用。印度洋偶极子指数与南亚高压东伸指数均存在8 a左右显著时间尺度。两者在1.5~8 a的周期上存在密切联系,在3 a左右的周期上,印度洋偶极子指数变化超前于南亚高压东伸指数,说明印度洋海温异常是影响南亚高压东西振荡的重要因素之一。     

华北春季降水及其与前期印度洋海温的关系

利用华北17站1951-2002年春季（3-5月）逐月降水资料和NOAA再分析海表温度资料，研究了华北地区春季降水特征及其与海温的关系。得知华北春季降水偏少年出现频次比偏多年频次高，但是年际变化明显，强度没有偏多年严重。华北地区春季降水有一定的年代际变化和周期性，降水周期在20世纪70年代中期以前为4-6a，在70年代中期以后为6-8a。同时用相关分析方法找出了影响华北地区春季降水的海温关键区为印度洋，发现印度洋在前一年11月到当年1月存在一个相关系数较高海区。用SVD方法证实了前期冬季印度洋海温正是与华北春季降水相关最显著的时段和地区。并用合成分析初步得到印度洋海温异常强迫影响大气环流，并通过遥相关影响华北地区降水。     

新疆春季降水量与印度洋1月海温关系的初步研究

采用奇异值分解（SVD）法对1970~1994年共25年的新疆31个站春季降水量距平场与印度洋（40°S－8°N,22°~118°E）1月海温距平场进行相关分析及反查和验证,发现新疆春季降水量距平场的某些分布型与印度洋1月海温距平场的某些分布型具有较好的对应关系。     

印度洋海温异常对印度季风、高原夏季降水的影响

利用经验正交函数(EOF)对印度洋海表面温度距平(SSTA)进行分解，分析了印度洋海温场的时空分布特征，并通过合成分析、奇异值(SVD)分解等方法，结果表明，前期和同期的印度洋海表温度距平分布场与夏季高原降水相关显，西印度洋-非洲东海岸赤道地区的SSTA与高原夏季降水联系最密切；当春、夏季印度洋西部海温出现明显负(正)距平时，当年印度夏季风偏强(弱)，高原夏季降水普遍偏多(少)。     

初夏孟加拉湾东部降水异常对印度洋海温偶极子的触发作用

基于1982—2013年逐月NCEP资料及GODAS资料,采用回归分析、合成分析以及2.5层简化海洋模式数值模拟等方法,研究了热带东印度洋的大气和海洋过程对印度洋海温偶极子(IOD,Indian Ocean Dipole)东极(IODE,IOD East pole)海温异常的影响。结果表明,IODE海温异常的演变超前IOD西极(IODW,IOD West pole)海温异常的演变,并对IOD事件的生成和发展起到关键作用。初夏,来自阿拉伯海、中南半岛地区以及孟加拉湾西南部的水汽输送,导致孟加拉湾东部出现强降水。降水释放的潜热在热带东印度形成了一个跨越赤道的经向环流,有利于加强赤道东印度洋的过赤道气流,并在苏门答腊沿岸形成偏南风异常。该异常偏南风通过影响混合层垂向夹卷混合过程和纬向平流过程,导致IODE海温迅速下降。随后赤道东南印度洋异常东南风迅速增强以及赤道中印度洋东风异常的出现,增强了自东南印度洋向西印度洋的水汽输送,削弱了向孟加拉湾的水汽输送,使西南印度洋的降水增强,孟加拉湾东部的降水减弱。因此,IOD达到盛期前孟加拉湾东部的降水通过局地经向环流在苏门答腊沿岸形成偏南风异常,导致苏门答腊沿岸迅速的降温,并最终导致IOD事件的发生。     

印度洋海温异常对印度季风、高原夏季降水的影响

利用经验正交函数(EOF)对印度洋海表面温度距平(SSTA)进行分解,分析了印度洋海温场的时空分布特征,并通过合成分析、奇异值(SVD)分解等方法,结果表明,前期和同期的印度洋海表温度距平分布场与夏季高原降水相关显著,西印度洋-非洲东海岸赤道地区的SSTA与高原夏季降水联系最密切;当春、夏季印度洋西部海温出现明显负(正)距平时,当年印度夏季风偏强(弱),高原夏季降水普遍偏多(少).     

太平洋和印度洋5月海温变化与我国汛期降水的关系研究

通过对近半个世纪以来太平洋和印度洋海温变化趋势分析,根据海温异常变化,选取5月太平洋区域(135°～171°E,25°～39°N)和印度洋区域(71°～107°E,25°～39°S)的海温变化指数,与中国汛期降水进行相关分析.结果表明,太平洋和印度洋对中国汛期降水的影响存在很大差别,太平洋的影响大于印度洋的影响,初步建立了一个太平洋和印度洋5月海温变化与中国汛期降水分布的物理概念模型.     

大连地区冬季气温异常与前期印度洋海温的关系

利用近40a全球海温、500hPa高度场、300hPa纬向风场和海平面气压场月平均资料以及大连地区冬季的气温资料,分析了大连地区冬季气温异常的变化特征,探讨了大连地区冬季气温异常与前期印度洋海温异常的相互联系。结果发现:影响大连地区冬季气温的海温异常关键区位于5°S~5°N、60°~75°E,关键影响时段为当年的4~7月;长时间的海气相互作用使前期的海温异常影响了后期的大气环流,在关键海区冷、暖水年,海平面气压距平场、500hPa高度距平场、300hPa纬向风距平场都存在着显著的差异;其中西伯利亚高压、极涡的位置、东亚大槽的强弱、极锋急流都差异显著,从而导致大连地区冬季气温的异常。     

红水河汛期径流与印度洋海温异常的关系

使用1951—2014年广西河池市红水河龙滩站的月流量和同期海温、500 hPa位势高度、850 hPa矢量风资料,基于相关分析、EOF分析和合成分析,研究了红水河汛期流量与印度洋海温异常的关系,以及印度洋海温异常影响红水河流量的物理机制。结果表明,印度洋海温距平分布的三种模态,包括前期夏季印度洋海温距平EOF1_6—8、EOF1_2—4、印度洋海温距平EOF1_2—4和EOF3_2—4,与红水河汛期流量显著相关。用这三个模态的时间系数、龙滩站前期4—5月平均流量和南印度洋2、3和4月偶极子指数可以很好地模拟龙滩站汛期流量,因此,它们可以作为红水河径流预测的物理因子。印度洋海温异常影响红水河汛期流量的途径可以概括为,印度洋海温冷水年,冷异常可在四个季节持续。春季冷海温可使北半球春季南支气流上小槽波动强烈,南支槽加强,水汽输送显著增强;夏季可显著增强夏季风气流,使更多的水汽输送到红水河增大径流量;秋季和冬季,印度洋的冷海水减弱了北半球冬季环流形势,诱使西北太平洋水汽向中国东部地区输送,使红水河有更多的水汽汇集增大龙滩站流量。反之,印度洋海温暖水年时,四个季节的海温持续增暖,使北半球中纬度低气压系统变得不活跃,冬季形势进入早、而结束晚,中国东部受干燥气流控制时间长,春季和夏季副热带高压增强,同时,夏季风减弱,水汽输送较少,使汛期红水河流量减小。      

热带东印度洋海表温度持续性的秋季障碍

利用全球海表海温资料(GISST)和NCEP/NCAR再分析风场、海平面气压场资料,研究了热带东印度洋海表温度持续性的季节差异,发现东印度洋海温持续性存在"秋季障碍"现象。进一步分析了东印度洋"秋季障碍"后冬季海温与中东太平洋海温、海平面气压及850hPa风场的关系,并讨论了热带印度洋—太平洋地区海气系统的季节变化与东印度洋"秋季障碍"的关系,结果表明,秋季热带印度洋—太平洋地区海气系统由以印度洋季风环流为主导转向以太平洋海气系统为主导,太平洋海气系统处于急剧加强期,增强的太平洋海气系统对东印度洋海温持续性"秋季障碍"起着重要的作用。     

The Relationship Between Indian Ocean SST and Tropical Cyclone Genesis Frequency over North Indian Ocean in May

Tropical cyclone (TC) activities in the North Indian Ocean (NIO) peak in May during the pre-monsoon period, but the TC frequency shows obvious inter-annual variations. By conducting statistical analysis and dynamic diagnosis of long-term data from 1948 to 2016, the relationship between the inter-annual variations of Indian Ocean SST and NIO TC genesis frequency in May is analyzed in this paper. Furthermore, the potential mechanism concerning the effect of SST anomaly on TC frequency is also investigated. The findings are as follows: 1) there is a broadly consistent negative correlation between NIO TC frequency in May and SST in the Indian Ocean from March to May, with the key influencing area located in the southwestern Indian Ocean (SWIO); 2) the anomalies of SST in SWIO (SWIO-SST) are closely related to a teleconnection pattern surrounding the Indian Ocean, which can significantly modulate the high-level divergence, mid-level vertical motion and other related environmental factors and ultimately influence the formation of TCs over the NIO; 3) the increasing trend of SWIO-SST may play an essential role in the downward trend of NIO TC frequency over the past 69 years.     

正交小波变换和时间分集联合盲均衡算法

利用全球海表海温资料（GISST）和NCEP／NCAR再分析风场、海平面气压场资料,研究了热带东印度洋海表温度持续性的季节差异,发现东印度洋海温持续性存在“秋季障碍”现象.进一步分析了东印度洋“秋季障碍”后冬季海温与中东太平洋海温、海平面气压及850hPa风场的关系,并讨论了热带印度洋一太平洋地区海气系统的季节变化与东印度洋“秋季障碍”的关系,结果表明,秋季热带印度洋一太平洋地区海气系统由以印度洋季风环流为主导转向以太平洋海气系统为主导,太平洋海气系统处于急剧加强期,增强的太平洋海气系统对东印度洋海温持续性“秋季障碍”起着重要的作用.     

Effects of vertical wind shear and storm motion on tropical cyclone rainfall asymmetries over the North Indian Ocean

Tropical cyclone (TC) rainfall asymmetry is often influenced by vertical wind shear and storm motion. This study examined the effects of environmental vertical wind shear (200-850 hPa) and storm motion on TC rainfall asymmetry over the North Indian Ocean (NIO): the Bay of Bengal (BoB) and the Arabian Sea (AS). Four TC groups were used in this study: Cyclonic Storm (CS), Severe Cyclonic Storm (SCS), Very Severe Cyclonic Storm (VSCS) and Extreme Severe Cyclonic Storm (ESCS). The Fourier coefficients for wave number-1 was used to analyze the structure of TC rainfall asymmetry. Results show that the maximum TC rainfall asymmetry was predominantly in the downshear left quadrant in the BoB, while it placed to downshear right quadrant in the AS, likely due to the different primary circulation strength of the TC vortex. For the most intense cyclone (ESCS), the maximum TC rainfall asymmetry was in the upshear left quadrant in the BoB, whereas it was downshear right quadrant in the AS. It is evident for both basins that the magnitude of TC rainfall asymmetry declined (increased) with TC intensity (shear strength). This study also examined the collective effects of vertical wind shear and storm motion on TC rainfall asymmetry. Here, the analysis in case of the strong shear environment (>7 m s^-1) omitted for the AS because the maximum value for this basin was about 7 m s^-1. The result showed that the downshear left quadrant was dominant in the BoB for the maximum TC rainfall asymmetry. In a weak shear environment (<5 m s^-1), on the other hand, downshear right quadrant is evident for the maximum TC rainfall asymmetry in the BoB, while it placed dominantly downshear left quadrant in the AS. In the case of motion-relative wavenumber-1, the maximum TC rainfall asymmetry was dominantly downshear for both basins.     

Indian Ocean SST Biases in a Flexible Regional Ocean Atmosphere Land System (FROALS) Model

The authors examine the Indian Ocean sea surface temperature(SST) biases simulated by a Flexible Regional Ocean Atmosphere Land System(FROALS) model.The regional coupled model exhibits pronounced cold SST biases in a large portion of the Indian Ocean warm pool.Negative biases in the net surface heat fluxes are evident in the model,leading to the cold biases of the SST.Further analysis indicates that the negative biases in the net surface heat fluxes are mainly contributed by the biases of sensible heat and latent heat flux.Near-surface meteorological variables that could contribute to the SST biases are also examined.It is found that the biases of sensible heat and latent heat flux are caused by the colder and dryer near-surface air in the model.     

5月孟加拉湾风暴不同移动路径典型个例的大气环境场对比分析

利用JTWC最佳路径数据集及欧洲中心ERA-Interim再分析资料,分析了5月孟加拉湾气旋和风暴的活动特征,并重点分析了4个不同路径的典型孟加拉湾风暴大气环境场差异,初步探讨了影响风暴移动的关键大气环流因子。研究表明:5月孟加拉湾风暴路径分为北上、东北移、西北移、转向4种,其中东北移路径最多,北上路径最少;孟加拉湾风暴的生成和移动与阿拉伯副热带高压和西太平洋副热带高压的相对强弱和位置,以及中高纬度槽脊波动密切联系,同时还与孟加拉湾风暴的生成位置有一定关系,10°N以北孟加拉湾海域生成的风暴容易东北移,10°N以南孟加拉湾海域生成的风暴却容易西北移,这与西太平洋副热带高压边缘不同引导气流的作用有关;孟加拉湾风暴移动路径还与高空急流变化有关,风暴有趋于高空急流右侧辐散区运动的趋势;孟加拉湾风暴生成于弱的垂直纬向风切变区,纬向风移动增强的方向指示孟加拉湾风暴移动的方向。     

青藏高原气温与印度洋海温遥相关的初步研究

利用1960—2000年青藏高原54个常规气象观测站的年平均地面气温资料,考察了高原气温的空间分布和气候变异特征;利用同期印度洋海温资料和奇异值分解方法,着重研究了青藏高原气温与印度洋海温之间的遥相关关系,并初步探讨了物理机制问题。分析结果表明:在空间分布上,青藏高原气温中部低,四周高,41年来呈逐步上升趋势,振幅不断加大;高原气温与印度洋海温之间存在显著的主要遥相关模态,这与印度洋海温异常激发遥相关波列影响到高原气温有关。     

On the mechanism of the seasonal variability of SST in the tropical Indian Ocean

A general form of an equation that "explicitly" diagnoses SST change is derived. All other equations in wide use are its special case. Combining with the data from an ocean general circulation model (MOM2) with an integration of 10 years (1987-1996), the relative importances of various processes that determine seasonal variations of SST in the tropical Indian Ocean are compared mainly for January, April, July and October. The main results are as follows. (1) The net surface heat flux is the most important factor affecting SST over the Arabian Sea, the Bay of Bengal and the region south of the equator in January; in April, its influence covers almost the whole region studied; whereas in July and October, this term shows significance only in the regions south of 10°S and north of the equator, respectively. (2) The horizontal advection dominates in the East African-Arabian coast and the region around the equator in January and July; in October, the region is located south of 10°S. (3) The entrainment is s     

Indian Ocean SST modes and Their Impacts as Simulated in BCC_CSM1.1(m) and HadGEM3

The sea surface temperature anomalies(SSTAs) in the tropical Indian Ocean(TIO) show two dominant modes at interannual time scales,referred to as the Indian Ocean basin mode(IOBM) and dipole mode(IOD).Recent studies have shown that the IOBM and IOD not only affect the local climate,but also induce remarkable influences in East Asia via teleconnections.In this study,we assess simulations of the IOBM and IOD,as well as their teleconnections,using the operational seasonal prediction models from the Met Office(Had GEM3) and Beijing Climate Center [BCC CSM1.1(m)].It is demonstrated that the spatial patterns and seasonal cycles are generally reproduced by the control simulations of BCC CSM1.1(m) and Had GEM3,although spectra biases exist.The relationship between the TIO SSTA and El Nio is successfully simulated by both models,including the persistent IOBM warming following El Nio and the IOD–El Nio interactions.BCC CSM1.1(m) and Had GEM3 are capable of simulating the observed local impact of the IOBM,such as the strengthening of the South Asian high.The influences of the IOBM on Yangtze River rainfall are also captured well by both models,although this teleconnection is slightly weaker in BCC CSM1.1(m) due to the underestimation of the northwestern Pacific subtropical high.The local effect of the IOD on East African rainfall is reproduced by both models.However,the remote control of the IOD on rainfall over southwestern China is not clear in either model.It is shown that the realistic simulations of TIO SST modes and their teleconnections give rise to the source of skillful seasonal predictions over China.