首页期刊介绍通知公告编 委 会投稿须知电子期刊广告合作联系我们在线留言
 
CMIP5模式对登陆中国热带气旋活动的模拟和预估
作者:栗晗  凌铁军  祖子清  王剑 
单位:国家海洋环境预报中心 国家海洋局海洋灾害预报技术研究重点实验室, 北京 100081
关键词:CMIP5模式 热带气旋 登陆 气候变化 预估 
分类号:P444
出版年·卷·期(页码):2016·33·第六期(10-21)
摘要:
基于中国气象局热带气旋最佳路径数据集,结合7个全球耦合模式在4个气候情景(Historical、RCP2.6、RCP4.5、RCP8.5)下的模拟场,对比分析了模式模拟1986-2005年登陆我国热带气旋(LTC)活动的气候特征,并评估了未来(2026-2045年)不同气候情景下LTC活动的频数和强度变化特征。结果表明:在Historical情景下虽然各模式模拟的1986-2005年LTC均少于观测值,但仍然较好的再现LTC的季节分布、地理位置分布和强度分布特征。未来气候情景下不同强度LTC的频数预估则显示,相对于Historical情景,RCP2.6和RCP8.5情景下较弱的LTC有减少的趋势,而较强的LTC则表现为略微的增加。另外,对比不同模式的结果可以发现,模式中若中国大陆近海区域平均垂直风切变和海平面气压较大,则其对应的LTC活动较少;若模式中海表温度较高,则LTC的平均登陆强度较大。
Based on Landfalling Tropical Cyclone (LTC) Best-Track (BST) Data from China Meteorological Administration (CMA) and 7 Global Climate Models (GCMs) outputs under historical scenario during 1986-2005 and the Representative Concentration Pathways, this paper firstly investigated the simulated LTC from the GCMs in contrast with the BST. Then the change of frequency and intensity of future LTCs from the GCMs under the RCPs (RCP2.6, RCP4.5, RCP8.5) over 2026-2045 are also detected and projected. The result show that, the LTCs from GCMs well reproduce the observed LTC seasonal, geographical position and intensity probability distribution although the frequency of LTCs detected from the GCMs are all less than observed. With respect to the reference period 1986-2005 of historical simulation, the annual mean occurrence frequency of weak LTCs decrease while strong ones increase under RCP2.6 and RCP8.5 scenario. It turns out that the annual mean occurrence frequency of LTCs has a significant negative relationship with the regional average vertical wind shear and sea level pressure between GCMs, while the average landing intensity show a significant positive correlation with sea surface temperature. However, when turn to the ensemble mean of GCMs, the change of LTCs frequency and intensity among each scenarios do not show any consistency with the corresponding environment factors.
参考文献:
[1] 丁一汇, Reiter E R. 影响西太平洋台风形成的大尺度环流条件[J]. 海洋学报, 1983, 5(5):561-574.
[2] 王磊, 陈光华, 黄荣辉. 影响登陆我国不同区域热带气旋活动的大尺度环流定量分析[J]. 大气科学, 2009, 33(5):916-922.
[3] Wang B, Chan J C L. How Strong ENSO Events Affect Tropical Storm Activity Over the Western North Pacific[J]. Journal of Climate, 2002, 15(13):1643-1658.
[4] 黄荣辉, 王磊. 台风在我国登陆地点的年际变化及其与夏季东亚/太平洋型遥相关的关系[J]. 大气科学, 2010, 34(5):853-864.
[5] 任福民, 王小玲, 陈联寿, 等. 登陆中国大陆、海南和台湾的热带气旋及其相互关系[J]. 气象学报, 2008, 66(2):224-235.
[6] Camargo S J. Global and Regional Aspects of Tropical Cyclone Activity in the CMIP5 Models[J]. Journal of Climate, 2013, 26(24):9880-9902.
[7] Tory K J, Chand S S, McBride J L, et al. Projected Changes in Late-Twenty-First-Century Tropical Cyclone Frequency in 13 Coupled Climate Models from Phase 5 of the Coupled Model Intercomparison Project[J]. Journal of Climate, 2013, 26(24):9946-9959.
[8] Sun J Q, Ahn J B. A GCM-Based Forecasting Model for the Landfall of Tropical Cyclones in China[J]. Advances in Atmospheric Sciences, 2011, 28(5):1049-1055.
[9] 王绍武, 罗勇, 赵宗慈, 等. 新一代温室气体排放情景[J]. 气候变化研究进展, 2012, 8(4):305-307.
[10] Zhao M, Held I M, Lin S J, et al. Simulations of Global Hurricane Climatology, Interannual Variability, and Response to Global Warming Using a 50-km Resolution GCM[J]. Journal of Climate, 2009, 22(24):6653-6678.
[11] Camargo S J, Zebiak S E. Improving the Detection and Tracking of Tropical Cyclones in Atmospheric General Circulation Models[J].Weather and Forecasting, 2002, 17(6):1152-1162.
[12] Walsh K, Lavender S, Scoccimarro E, et al. Resolution dependence of Tropical Cyclone Formation in CMIP3 and Finer Resolution Models[J]. Climate Dynamics, 2013, 40(3-4):585-599.
[13] Walsh K J E, Fiorino M, Landsea C W, et al. Objectively Determined Resolution-Dependent Threshold Criteria for the Detection of Tropical Cyclones in Climate Models and Reanalyses[J]. Journal of Climate, 2007, 20(10):2307-2314.
[14] Tory K J, Chand S S, Dare R A, et al. The Development and Assessment of a Model-, Grid-, and Basin-Independent Tropical Cyclone Detection Scheme[J]. Journal of Climate, 2013, 26(15):5493-5507.
[15] Horn M, Walsh K, Zhao M, et al. Tracking Scheme Dependence of Simulated Tropical Cyclone Response to Idealized Climate Simulations[J]. Journal of Climate, 2014, 27(24):9197-9213.
[16] Tory K J, Chand S S, Dare R A, et al. An Assessment of a Model-, Grid-, and Basin-Independent Tropical Cyclone Detection Scheme in Selected CMIP3 Global Climate Models[J]. Journal of Climate, 2013, 26(15):5508-5522.
[17] Emanuel K, Sundararajan R, Williams J. Hurricanes and Global Warming:Results from Downscaling IPCC AR4 Simulations[J]. Bulletin of the American Meteorological Society, 2008, 89(3):347-367.
[18] Bender M A, Knutson T R, Tuleya R E, et al. Modeled Impact of Anthropogenic Warming on the Frequency of Intense Atlantic Hurricanes[J]. Science, 2010, 327(5964):454-458.
[19] Knutson T R, Mcbride J L, Chan J, et al. Tropical Cyclones and Climate Change[J]. Nature Geoscience, 2010, 3(3):157-163.
[20] Murakami H, Wang Y Q, Yoshimura H, et al. Future Changes in Tropical Cyclone Activity Projected by the New High-Resolution MRI-AGCM[J]. Journal of Climate, 2012, 25(9):3237-3260.
[21] Manganello J V, Hodges K I, Dirmeyer B, et al. Future Changes in the Western North Pacific Tropical Cyclone Activity Projected by a Multidecadal Simulation with a 16-km Global Atmospheric GCM[J]. Journal of Climate, 2014, 27(20):7622-7646.
[22] 端义宏, 陈联寿, 梁建茵, 等. 台风登陆前后异常变化的研究进展[J]. 气象学报, 2014, 72(5):969-986.
[23] Chen G H, Huang R H. Influence of Monsoon Over the Warm Pool on Interannual Variation on Tropical Cyclone Activity Over the Western North Pacific[J]. Advances in Atmospheric Sciences, 2008, 25(2):319-328.
[24] 黄荣辉, 陈光华. 西北太平洋热带气旋移动路径的年际变化及其机理研究[J]. 气象学报, 2007, 65(5):683-694.
[25] Chu P S. Large-Scale Circulation Features Associated with Decadal Variations of Tropical Cyclone Activity over the Central North Pacific[J]. Journal of Climate, 2002, 15(18):2678-2689.
服务与反馈:
文章下载】【发表评论】【查看评论】【加入收藏
 
 海洋预报编辑部 地址:北京海淀大慧寺路8号
电话:010-62105776
投稿网址:http://www.hyyb.org.cn
邮箱:bjb@nmefc.cn