西北太平洋热带气旋快速加强过程中的水汽特征分析

尹浩; 王咏青; 钟玮

doi:10.3878/j.issn.1006-9585.2015.14210

西北太平洋热带气旋快速加强过程中的水汽特征分析

doi: 10.3878/j.issn.1006-9585.2015.14210

1.
南京信息工程大学太平洋台风研究中心, 南京 210044;南京信息工程大学大气科学学院, 南京 210044
2.
解放军理工大学气象海洋学院, 南京 211101

基金项目: 国家自然科学基金面上项目 41275002、41175054,江苏省“333高层次人才培养工程”,江苏高校优势学科建设工程资助项目(PAPD)

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出版历程
- 收稿日期: 2014-09-26

A Statistical Analysis of Moisture Characteristics during the Rapid Intensification of Tropical Cyclones over the Northwestern Pacific

1.
Pacific Typhoon Research Center, Nanjing University of Information Science & Technology, Nanjing 210044;School of Atmospheric Sciences, Nanjing University of Information Science & Technology, Nanjing 210044
2.
Institute of Meteorology and Ocean, PLA University of Science and Technology, Nanjing 211101

摘要

摘要: 利用NCEP的1°(纬度)×1°(经度)全球最终分析资料和JTWC(Joint Typhoon Warning Center)最佳路径资料,对 2002～2011年西北太平洋热带气旋(TC)非减弱阶段快速加强(Rapid Intensification,RI)和缓慢加强及强度稳定(Non-RI)过程中,TC环境场及其内部各区域水汽分布和输送特征进行统计分析,揭示水汽因子对TC随后24 h强度变化的影响,为TC强度突变的趋势预报提供依据。结果表明:对流层低层900 hPa层半径3～10纬距区域平均相对湿度(RH_3-10)能明显区分RI与Non-RI过程,说明西北太平洋TC强度变化对水汽的敏感高度较大西洋更接近洋面;RI初始时刻的RH_3-10显著大于Non-RI,而水平水汽通量(F_all)则弱于Non-RI,说明RI开始时刻TC环境表现为高水汽含量和较小的水汽输送,而随着RI过程TC内强对流发展对水汽的消耗,水汽含量明显减小故水汽通量则出现增强;RI和Non-RI过程水汽因子的分布和输送在TC内核区和外雨带差异明显,初始时刻RI过程净水汽获得区域大于Non-RI。相关性分析同样表明,适宜的相对湿度和水汽通量是非减弱阶段RI的有效潜势预报因子。
- 热带气旋 /
- 快速加强 /
- 水汽 /
- 强度预报
Abstract: The tropical cyclones (TCs) that occurred during 2002-2011 in the northwestern Pacific Ocean and the connection between the moisture and their ability to subsequently undergo rapid intensification (RI) are investigated with the NCEP FNL (Final Analysis) data and the best-track datasets of the JTWC (Joint Typhoon Warning Center), which is organized into 24-h intervals of either RI and slow intensification/constant intensity (non-RI) periods. The environmental and internal distributions of moisture and its transport at each interval are statistically analyzed to reveal their significant influence on the intensity change in the subsequent 24 hours. The results show that relative humidity area-averaged from the radius of 3° to 10° latitude at 900 hPa (RH_3-10) can clearly distinguish RI from non-RI, which means the sensitive vertical level of moisture in the northwestern Pacific Ocean is lower than that in the Atlantic Ocean. In addition, larger RH_3-10 values and smaller horizontal moisture flux (F_all) mark the beginning of RI. With the consumption of the convection development in RI, the environmental humidity decreases and the moisture flux is enhanced. The obvious differences of the moisture distribution and transfer between the TC inner-core and outer-rainband region are also studied, showing that the net convergence region of moisture flux in RI is larger than that in non-RI. The correlative analysis also indicates that intensity forecasts and RI predictions in particular may be aided by the use of the moisture and its flux, both in the environmental and internal region.
- Tropical cyclone /
- Rapid intensification /
- Moisture /
- Intensity forecasting

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参考文献(24)

[1]	Carrasco C A, Landsea C W, Lin Y L. 2014. The influence of tropical cyclone size on its intensification [J]. Wea. Forecasting, 29 (3): 582-590, doi: 10.1175/WAF-D-13-00092.1.
[2]	陈联寿, 丁一汇. 1979. 西太平洋台风概论 [M]. 北京: 科学出版社, 31-38. Chen Lianshou, Ding Yihui. 1979. Introduction to the Western Pacific Typhoon (in Chinese) [M]. Beijing: Science Press, 31-38.
[3]	DeMaria M, Kaplan J. 1997. An operational evaluation of a Statistical Hurricane Intensity Prediction Scheme (SHIPS) [C]// 22th Conf. on Hurricanes and Tropical Meteorology. Fort Collins: Amer. Meteor. Soc., 280-281.
[4]	丁金才, 郭英华, 郭永润, 等. 2011. 利用COSMIC资料对17个台风热力结构的合成分析 [J]. 热带气象学报, 27 (1): 31-43. Ding Jincai, Guo Yinghua, Guo Yongrun, et al. 2011. The composite analysis of the thermal structure of 17 typhoons by using cosmic data [J]. Journal of Tropical Meteorology (in Chinese), 27 (1): 31-43, doi: j.issn.1004-4965. 2011.01.004.
[5]	Emanuel K, DesAutels C, Holloway C, et al. 2004. Environmental control of tropical cyclone intensity [J]. J. Atmos. Sci., 61 (7): 843-858, doi: 10.1175/1520-0469(2004)061<0843:ECOTCI>2.0.CO;2.
[6]	Gall R, Franklin J, Marks F, et al. 2013. The hurricane forecast improvement project [J]. Bull. Amer. Meteor. Soc., 94 (3): 329-343, doi: 10.1175/BAMS-D-12-00071.1.
[7]	高拴柱, 吕心艳, 王海平, 等. 2012. 热带气旋莫兰蒂 (1010) 强度的观测研究和增强条件的诊断分析 [J]. 气象, 38 (7): 834-840. Gao Shuanzhu, Lü Xinyan, Wang Haiping, et al. 2012. An observational and diagnostic analysis on the intensity and intensity changes of typhoon Meranti (1010) [J]. Meteorological Monthly (in Chinese), 38 (7): 834- 840.
[8]	Gray W M. 1979. Hurricanes: Their formation, structure and likely role in the tropical circulation [M]//Shaw D B. Meteorology over the Tropical Oceans. Bracknell, Berkshire: Royal Meteorological Society, 155-218.
[9]	Hill K A, Lackmann G M. 2009. Influence of environmental humidity on tropical cyclone size [J]. Mon. Wea. Rev., 137 (10): 3294-3315, doi: 10.1175/2009MWR2679.1.
[10]	Holliday C R, Thompson A H. 1979. Climatological characteristics of rapidly intensifying typhoons[J]. Mon. Wea. Rev., 107 (8): 1022-1034, doi: 10.1175/1520-0493(1979)107<1022:CCORIT>2.0.CO;2.
[11]	黄荣成, 雷小途. 2010. 环境场对近海热带气旋突然增强与突然减弱影响的对比分析 [J]. 热带气象学报, 26 (2): 129-137. Huang Rongcheng, Lei Xiaotu. 2010. Comparative analysis of the influence of environment field on rapid intensifying and weakening of tropical cyclones over offshore waters of China [J]. Journal of Tropical Meteorology (in Chinese), 26(2): 129-137.
[12]	Kaplan J, DeMaria M. 2003. Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basin[J]. Wea. Forecasting, 18 (6): 1093-1108, doi: 10.1175/1520-0434(2003)018<1093: LCORIT>2.0.CO;2.
[13]	Knaff J A, Sampson C R, DeMaria M. 2005. An operational statistical typhoon intensity prediction scheme for the Western North Pacific [J]. Wea. Forecasting, 20 (4): 688-699, doi: 10.1175/WAF863.1.
[14]	李英. 2004. 登陆热带气旋维持机制的研究 [D]. 中国气象科学研究院博士学位论文, 34-35. Li Ying. 2004. A study on the sustaining mechanism of landfalling tropical cyclones [D]. Ph. D. dissertation (in Chinese), Chinese Academy of Meteorological Science, 34-35.
[15]	李英, 陈联寿, 徐祥德. 2005. 水汽输送影响登陆热带气旋维持和降水的数值试验 [J]. 大气科学, 29 (1): 91-98. Li Ying, Chen Lianshou, Xu Xiangde. 2005. Numerical experiments of the impact of moisture transportation on sustaining of the landfalling tropical cyclone and precipitation [J]. Chinese Journal of Atmospheric Sciences (in Chinese), 29 (1): 91-98.
[16]	Merrill R T. 1984. A comparison of large and small tropical cyclones [J]. Mon. Wea. Rev., 112(7): 1408-1418, doi: 10.1175/1520-0493(1984) 112<1408: ACOLAS>2.0.CO;2.
[17]	Schade L R, Emanuel K A. 1999. The ocean's effect on the intensity of tropical cyclones: Results from a simple coupled atmosphere-ocean model [J]. J. Atmos. Sci., 56(4): 642-651, doi: 10.1175/1520-0469(1999)056<0642: TOSEOT>2.0.CO;2.
[18]	Schönemann D, Frisius T. 2014. Dynamical system properties of an axisymmetric convective tropical cyclone model [J]. Tellus A, 66: 22456, doi: 10.3402/tellusa.v66.22456.
[19]	Shen W X. 2005. A simple prediction model of hurricane intensity [J]. Quart. J. Roy. Meteor. Soc., 131 (611): 2887-2906, doi: 10.1256/qj.04.109.
[20]	宋金杰, 王元, 陈佩燕, 等. 2011. 基于偏最小二乘回归理论的西北太平洋热带气旋强度统计预报方法 [J]. 气象学报, 69 (5): 745-756. Song Jinjie, Wang Yuan, Chen Peiyan, et al. 2011. A statistical prediction scheme of tropical cyclone intensity over the western North Pacific based on the partial least square regression [J]. Acta Meteorologica Sinica (in Chinese), 69 (5): 745-756.
[21]	Wang Y Q. 2009. How do outer spiral rainbands affect tropical cyclone structure and intensity? [J]. J. Atmos. Sci., 66 (5): 1250-1273, doi: 10.1175/2008JAS2737.1.
[22]	吴启树, 沈桐立, 苏银兰, 等. 2006. 2000年第10号台风的水汽分析与试验 [J]. 气象科学, 26 (4): 384-391. Wu Qishu, Shen Tongli, Su Yinlan, et al. 2006. Water vapor analyses and experiments of 0010 typhoon [J]. Scientia Meteorologica Sinica (in Chinese), 26 (4): 384-391.
[23]	杨玉震, 王耀领, 胡邦辉, 等. 2010. 西北太平洋热带气旋强度统计动力预报的改进模型 [J]. 海洋预报, 27 (3): 1-6. Yang Yuzhen, Wang Yaoling, Hu Banghui, et al. 2010. A improved statistic-dynamical model for tropical cyclone intensity forecasting in Northwest Pacific [J]. Marine Forecasts, 27 (3): 1-6.
[24]	Ying Y, Zhang Q H. 2012. A model study on tropical cyclone structural changes in response to ambient moisture variations [C]// 30th Conf. on Hurricanes and Tropical Meteorology. Florida: Amer. Meteor. Soc.