南印度洋热带气旋生成频数气候变率对海温异常模响应的研究

基于1980—2014年的哈德莱中心海冰及海温的月平均SST资料,美国联合台风警报中心(JTWC)的best-track资料以及NCEP/NCAR再分析月平均资料,利用广义平衡反馈方法(GEFA)研究南印度洋热带气旋(TC)生成频数对海表温度异常的响应特征。研究表明:(1)南印度TC生成频数对北太平洋第一模态(NP1)和热带大西洋第二模态(TA2)有显著响应,分别通过了置信度为99%和96%的Monte-Carlo检验,对应的响应振幅分别为0.67和0.49。(2)局地环境要素对关键SSTA模的GEFA响应结果显示:当NP1出现类似于太平洋年代际振荡(PDO)的正位相时,850 h Pa相对涡度在15°S附近的印度洋海域上都有一个自西向东的显著正响应带,垂直风切变在马达加斯加以东的大部分海域都表现为显著的负响应,600 h Pa相对湿度在马达加斯加以东的部分海域表现为显著的正响应;当TA2对应的时间系数为正异常时,850 h Pa相对涡度和600 h Pa相对湿度在澳大利亚的西北部印度洋海域表现为显著的正响应,垂直风切变在澳大利亚的西北部印度洋海域表现为显著的负响应。     

ENSO发展年与衰减年夏季环境要素对热带气旋生成频数变化的贡献

利用中国气象局上海台风研究所整编的热带气旋(Tropical Cyclone,TC)最佳路径数据集和欧洲中期天气预报中心的ERA再分析资料,分析了El Ni?o-South Oscillation (ENSO)发展年与衰减年西北太平洋(Western North Pacific,WNP)夏季(6—8月)总TC生成频数(Tropical Cyclone Genesis Frequency,TCGF)及其区域性特征,通过潜在生成指数(Genesis Potential Index,GPI)定量诊断各环境要素对TCGF变化的贡献。结果表明,西北太平洋TCGF总数异常在ENSO各位相并不显著,但其东南象限和西部的TCGF异常存在明显差异。在ENSO各位相,GPI异常的空间分布与TCGF异常的空间型相似。同一区域,各环境要素对TCGF异常的贡献不同,反映了ENSO不同位相影响TC生成变化的机理存在差异。WNP东南部(SEWNP)是对ENSO较敏感的区域,El Ni?o发展年,中东太平洋异常增暖激发的Rossby波西传导致SEWNP受异常正涡度环流控制,涡度对TCGF增加的贡献最大;El Ni?o...     

登陆我国热带气旋频数和强度变化的气候特征

本文利用数理统计方法,对登陆我国的热带气旋频数进行分析。发现热带气旋登陆前24、12、6小时近中心最大风速V_1、V_2、V_3分别与登陆后24小时平均最大风速和它们的差值成线性关系。求得了登陆我国台湾、海南、广东、福建四省的V_1、V_2、V_3与/V_1、/V_2、/V_3的回归方程。另外,对登陆我国热带气旋的频数及强度变化进行了气候分析,指出了一些气候特征。     

北大西洋热带气旋生成频数变化对海温异常响应特征的研究

利用美国国家飓风中心(National Hurricane Center,NHC)的Best Track Data (HURDAT2)数据和美国国家预报中心/大气研究中心(NCEP/NCAR)大气再分析资料,运用广义平衡反馈分析方法(GEFA),研究多个海盆主要海表温度异常(SSTA)模对北大西洋热带气旋生成频数(TCGN)气候变率的强迫作用。(1)北大西洋TCGN的气候变率对北大西洋三极型模态(NA1)和太平洋mega-ENSO式模态(P1)具有显著的响应,对应的响应振幅分别为0.45和-0.28,即当NA1(P1)的时间系数增加(减小)1个标准差时,北大西洋TCGN将增加0.45(0.28)个。(2) TCGN对NA1、P1的气候变率、年代际变率有显著响应,但对年际变率响应不显著。(3)北大西洋TCGN在1995年前后发生异常变化,从平均8个增加到12.6个,NA1、P1对1995年后的TCGN异常增加的贡献分别为27%、45%。(4) NA1对北大西洋TC环境场的强迫中心多集中在20°N附近,而P1的多位于20°N以南以及墨西哥湾地区,为TC生成提供有利的动力和热力条件。     

西北太平洋热带气旋潜在生成指数的改进

热带气旋潜在生成指数(GPI,Genesis Potential Index)是热带气旋生成可能性大小的空间分布函数,利用大尺度环境场可以应用于热带气旋活动的季节预报,并且可以评估全球气候变化对热带气旋活动的影响。但是目前的GPI基本都是针对全球热带气旋活动构建的,没有考虑到热带气旋不同活动地区及其内部的差异。本研究考虑到南海和西北太平洋热带气旋生成的不同特点,分别构建了适用于南海(5～25°N,100～120°E)和西北太平洋(5～40°N,120～180°E)的热带气旋GPI。改进后的GPI对南海和西北太平洋区域热带气旋生成具有较好的模拟能力,不仅能很好地模拟南海和西北太平洋热带气旋生成频数空间分布的气候特征(相似系数为0.67),而且能够较好地模拟热带气旋生成在年际时间尺度上的空间分布特征。     

南海与西北太平洋地区夏季热带气旋潜在生成指数的改进

现阶段使用的热带气旋潜在生成指数(Genesis Potential Index,GPI)在气候场的空间分布上能很好地拟合热带气旋的生成情况,但在热带气旋的年际变化拟合上效果很差。本研究考虑了相对涡度在热带气旋年际变化拟合上的重要作用,并以此为出发点,尝试改善GPI在西北太平洋地区的拟合效果。基于对1979—2011年美国联合飓风警报中心提供的热带气旋最佳路径数据和NCEP/NCAR再分析资料数据集的研究,将之前GPI中的绝对涡度项替换为修正过的相对涡度项。科氏力项仍然保留;将南海(100°～120°E,5°～25°N)与西北太平洋地区(120°～180°E,5°～40°N)热带气旋生成的差异性也纳入了考量,并在这两个区域分别构建GPI公式,改善了对热带气旋生成的气候分布模拟。除此之外,较之已存的GPI指数,改进后的GPI还很大程度提高了GPI对热带气旋生成年际变化的拟合效果,特别是对弱热带气旋年际变化的拟合效果有了显著提升。     

多种再分析资料中热带气旋潜在生成指数分析

根据7套再分析资料计算的热带气旋潜在生成指数(GPI),分析了GPI对西北太平洋区域台风盛季(7—9月)热带气旋生成的表征能力。结果表明,虽然这些再分析资料计算得到的GPI的空间分布与观测的热带气旋生成特征都比较一致。但是,在时间变化上7套再分析资料计算的GPI对观测热带气旋生成的表征能力差异较大,其中ERA-40(欧州中期天气预报中心再分析资料)和MERRA(美国国家航空和航天局研究和应用再分析资料)的GPI与观测的相关系数较高。进一步分析表明,各套资料GPI之间时间变化的差异主要来自相对湿度,而ERA-40和MERRA的GPI与观测值有较高的相关系数,也与相对湿度有密切关系。     

热带气旋潜在生成指数的对比分析及其在西北太平洋的改进

本研究评估了现有热带气旋(Tropical Cyclone,TC)潜在生成指数(Genesis Potential Indice,GPI)对北大西洋和西北太平洋热带气旋生成频数(TC Genesis Frequency,TCGF)时空特征的表征能力。结果表明,现阶段使用的GPIs能较好地再现两个海盆TCGF的空间分布和季节循环特征,以及北大西洋TCGF的年际变化,但几乎不能模拟西太平洋TCGF年际时间尺度上的变化。利用美国联合飓风警报中心(Joint Typhoon Warming Center,JTWC)提供的1979—2017年热带气旋最佳路径数据集和ERA-Interim再分析数据,对西北太平洋GPI进行了改进。考虑到相对涡度在西北太平洋对热带气旋生成的重要作用,将绝对涡度分离为相对涡度和地转涡度(f),移除相对湿度,使用多元线性回归的方法构建了GPI_WNP。与现有GPIs相比,改进后的GPI_WNP不仅对西北太平洋TCGF的空间分布和季节循环有较好的模拟能力,并且可以再现其年际变化特征。     

近百年西北太平洋热带气旋年频数的变化特征

利用经趋势订正的１８８４－１９８８年西北太平洋热带气旋年频数资料，分析了热带气旋年频数的多年变化及其与海面温度、南方涛动指数、太阳黑子数和环流型日数等的统计关系。初步结果表明，热带气旋年频数的变化具有明显的２１年、３１年、１５年和６年左右的周期和持续期平均为１２年左右的阶段变化；近百年来有三次较明显的转折，分别出现在１９３１、１９５９年１９７７年。热带气旋年频数在厄尔尼诺年有冬春季偏少、夏秋季偏多     

Modulation of interannual variability of tropical cyclone activity over Southeast Indian Ocean by negative IOD phase

Tropical cyclones (TCs) over Southeast Indian Ocean (SEIO) have the notable interannual variability caused by ENSO and Indian Ocean Dipole (IOD). In the September–November of El Niño and October–November of positive IOD (PIOD), SEIO TCs is far less than its climatology. However, it is hard to separately understand El Niño and PIOD's impact on SEIO TCs due to their similar occurrence time and time scale. Unlike El Niño and PIOD, SEIO TCs is remarkably more than its climatology only in September–November of negative IOD (NIOD) instead of La Niña. Consequently, it is concluded NIOD mainly affects SEIO TCs’ increase. Diagnose results suggest the relative humidity (RH) contributes mostly to the TCs’ increase, vertical wind shear provides the secondary positive contribution, vorticity term also makes a weak positive contribution and PI term's contribution even may be negligible. The study still uncovers the process of RH change: NIOD reaches its peak period and changes atmosphere circulation to make a positive low-level vorticity anomaly over SEIO. Vorticity anomaly strengthens upward motion. The vertical velocity anomaly and climatogical specific humidity (SH) work together to make vertical advection play a dominant role in SH variation. SH's change mainly reflects in RH variation. Eventually, all of these associates with NIOD lead to more SEIO TCs in September–November and the significance of difference is above 99%.     

Tropical cyclone genesis potential index over the western North Pacific simulated by CMIP5 models

Tropical cyclone(TC) genesis over the western North Pacific(WNP) is analyzed using 23 CMIP5(Coupled Model Intercomparison Project Phase 5) models and reanalysis datasets. The models are evaluated according to TC genesis potential index(GPI). The spatial and temporal variations of the GPI are first calculated using three atmospheric reanalysis datasets(ERA-Interim, NCEP/NCAR Reanalysis-1, and NCEP/DOE Reanalysis-2). Spatial distributions of July–October-mean TC frequency based on the GPI from ERA-interim are more consistent with observed ones derived from IBTr ACS global TC data. So, the ERA-interim reanalysis dataset is used to examine the CMIP5 models in terms of reproducing GPI during the period 1982–2005. Although most models possess deficiencies in reproducing the spatial distribution of the GPI, their multimodel ensemble(MME) mean shows a reasonable climatological GPI pattern characterized by a high GPI zone along 20?N in the WNP. There was an upward trend of TC genesis frequency during 1982 to 1998, followed by a downward trend. Both MME results and reanalysis data can represent a robust increasing trend during 1982–1998, but the models cannot simulate the downward trend after 2000. Analysis based on future projection experiments shows that the GPI exhibits no significant change in the first half of the 21 st century, and then starts to decrease at the end of the 21 st century under the representative concentration pathway(RCP) 2.6 scenario. Under the RCP8.5 scenario, the GPI shows an increasing trend in the vicinity of20?N, indicating more TCs could possibly be expected over the WNP under future global warming.     

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.     

西北太平洋热带气旋频数及生成位置的气候变化研究进展

自20世纪70年代末期以来,西北太平洋的热带气旋在全球变暖的背景下主要发生了两种宏观的气候变化：一个是热带气旋生成频数呈现年代际减少,尤其是在东南部海域;另一个则是其生成与活动位置等总体特征有向西北偏移的趋势。本文对这两个方面的研究进展进行了概述。近些年的研究表明,垂直风切变的增强可能是夏秋季热带气旋频数减少的最主要原因,这与太平洋-印度洋海面温度变化导致的大尺度环境变化有密切联系。同样有研究认为北大西洋海面温度的多年代际振荡对近期西北太平洋热带气旋生成频数的减少也非常重要。但西北太平洋西部强热带气旋的频数呈现出增加的趋势,这可能与东亚近海海面温度的显著升高有关,尽管这种变化是否可信仍有争议。近20年来,西北太平洋热带气旋活动普遍出现西北移倾向,包括生成位置和路径位置,这种变化可能受到了ENSO变异及20世纪90年代末期太平洋气候突变的调控。同时,热带环流的极向扩张又导致了热带气旋的有利环境向北扩张,因此西北太平洋热带气旋活动也出现极向迁移的趋势。     

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     

Diurnal Sea surface temperature response to tropical cyclone Dahlia in the Eastern tropical Indian Ocean in 2017 revealed by the Bailong buoy

Tropical Cyclone (TC) Dahlia occurred adjacent to over the equatorial southeastern Indian Ocean during the period 26 November – 3 December 2017 and was observed by the Bailong buoy, which provides in situ observations of high-frequency variations in the upper ocean environment. The diurnal sea surface temperature (dSST) variabilities during different stages of the passage of TC Dahlia are studied. The dSST variability is rather weak during the TC passing stage in contrast to the strong ranges before (0.35 °C) and after (0.57 °C) the TC. Before the influence of TC Dahlia, the dSST presented significant regular variability with a peak in the afternoon and minimum value in the morning, which is similar to the even larger range that occurred after TC Dahlia. During the passage of TC Dahlia, dSST decreased dramatically, and a uniform variation was presented due to the absence of strong heat fluxes and stirring and upwelling induced by strong winds. Further analysis through a one-dimensional mixed layer model (Price-Weller-Pinkel, PWP) indicated that the dominant elements responsible for the different dSST variations during distinct stages of TC Dahlia were shortwave radiation and surface wind, which strongly impacted the dSST evolution during TC Dahlia. The asymmetrical wind strength was responsible for the asymmetry of dSST variation.