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
 
登陆华南热带气旋年频数预测
作者:张海燕1 2  胡金磊1 2  姚小娟1 2  赖志娟1 2  庄桦1 2 
单位:1. 自然资源部南海预报减灾中心, 广东 广州 510310;
2. 自然资源部海洋环境探测技术与应用重点实验室, 广东 广州 510310
关键词:华南 登陆热带气旋 多时间尺度 频数预测 
分类号:P444
出版年·卷·期(页码):2023·40·第一期(101-108)
摘要:
利用中国气象局 39 a的热带气旋资料,结合多元线性回归和自回归方法,构建了一个考虑登陆华南热带气旋年频数多时间尺度特性的组合预测模型。该组合模型能较好地拟合 1980-2012年登陆华南热带气旋年频数实况,拟合相关系数达0.93,平均绝对误差为0.57个,平均相对误差为 12.7%。利用该模型对 2013-2018 年进行后报试验,平均绝对误差为 0.61 个,平均相对误差为12.4%。
Based the tropical cyclones (TCs) data over recent 39 years from the China Meteorological Administration and using the multiple linear regression and autoregressive methods, a combined prediction model considering the multi-time-scale characteristics of the annual frequency of landfall TCs in South China is constructed. The combined model can well fit the actual annual frequency of landfall TCs in South China during the period from 1980 to 2012 with the fitting correlation coefficient of 0.93, the mean absolute error of 0.57 and the mean relative error of 12.7%. The test results show that the model can reasonably predict the annual frequency of tropical cyclones landing in South China, and it can be used as a reference for corresponding forecasting operations. The mean absolute error and mean relative error of the hindcast experiments from 2013 to 2018 are 0.61 and 12.4%, respectively. These results indicate that the model could properly predict the annual frequency of landfall TCs in South China and can be operationally used as a reference.
参考文献:
[1] 张海燕. 南海区台风风暴潮时空分布特征[J]. 海洋预报, 2019, 36(6):1-8. ZHANG H Y. Spatio-temporal distribution of typhoon storm surge along the South China Sea coast[J]. Marine Forecasts, 2019, 36(6):1-8.
[2] 范可. 西北太平洋台风生成频次的新预测因子和新预测模型[J]. 中国科学D辑:地球科学, 2007, 37(9):1260-1266. FAN K. New predictors and a new prediction model for the typhoon frequency over western North Pacific[J]. Science in China Series D:Earth Sciences, 2007, 37(9):1260-1266.
[3] 应明, 万日金. 影响我国的热带气旋年频数预测[J]. 应用气象学报, 2011, 22(1):66-76. YING M, WAN R J. The annual frequency prediction of tropical cyclones affecting China[J]. Journal of Applied Meteorological Science, 2011, 22(1):66-76.
[4] 吴慧, 邢彩盈, 吴胜安, 等. 夏季影响海南的热带气旋频数预测[J]. 热带气象学报, 2016, 32(3):377-384. WU H, XING C Y, WU S A, et al. Frequency prediction of tropical cyclones affecting Hainan in summer[J]. Journal of Tropical Meteorology, 2016, 32(3):377-384.
[5] 王会军, 郎咸梅, 范可, 等. 关于2006年西太平洋台风活动频次的气候预测试验[J]. 气候与环境研究, 2006, 11(2):133-137. WANG H J, LANG X M, FAN K, et al. Real-time climate prediction experiment for the typhoon frequency in the Western North Pacific for 2006[J]. Climatic and Environmental Research, 2006, 11(2):133-137.
[6] 孙建奇, 陈活泼. 一种适合于台风频次预测的统计降尺度方法[C]//2011年第二十八届中国气象学会年会论文集. 厦门:中国气象学会, 2011:1-8. SUN J Q, CEHN H P. A statistical downscaling method to forecast typhoon frequency[C]//Proceedings of the 28th Annual Meeting of the Chinese Meteorological Society in 2011. Xiamen:Chinese Meteorological Society, 2011:1-8.
[7] 贾小龙, 陈丽娟, LUO J J. 利用海气耦合模式预测的大尺度环流进行热带气旋年频数的预测试验[J]. 热带气象学报, 2013, 29(1):37-46. JIA X L, CHEN L J, LUO J J. Climate prediction experiment for tropical cyclone frequency using the large scale circulation forecast by a CGCM[J]. Journal of Tropical Meteorology, 2013, 29(1):37- 46.
[8] 苏志重, 余锦华, 孙丞虎, 等. IPRC区域气候模式对西北太平洋热带气旋潜在预测能力的初步检验[J]. 热带气象学报, 2010, 26(2):165-173. SU Z Z, YU J H, SUN C H, et al. The initial evaluation of tropical cyclone potential predictability in the Northwestern Pacific using the IPRC regional climate model[J]. Journal of Tropical Meteorology, 2010, 26(2):165-173.
[9] 龙渊, 梅宁, 杨建伟. 应用ARMA模式对登陆华南台风序列的模拟和预报[J]. 广东气象, 1999(S1):11-13. LONG Y, MEI N, YANG J W. Application of autoregressive moving average model to forecast landfall typhoon frequency in South China[J]. Guangdong Meteorology, 1999(S1):11-13.
[10] 李祚泳, 邓新民, 桑华民. 台风登陆华南年频次的投影寻踪回归预测模型[J]. 热带气象学报, 1998, 14(2):181-185. LI Z Y, DENG X M, SANG H M. Forecasting model of numbers of landed typhoon based on projection pursuit regression[J]. Journal of Tropical Meteorology, 1998, 14(2):181-185.
[11] 魏凤英. 华北干旱的多时间尺度组合预测模型[J]. 应用气象学报, 2003, 14(5):583-592. WEI F Y. A predicting drought model with an integration of multiscale in north China[J]. Journal of Applied Meteorological Science, 2003, 14(5):583-592.
[12] 何蕾, 李国胜, 李阔, 等. 基于EEMD及BP神经网络的区域海平面多尺度预测研究[J]. 第四纪研究, 2015, 35(2):374-382. HE L, LI G S, LI K, et al. Multi-scale prediction of regional sea level change based on EEMD and BP neural network[J]. Quaternary Sciences, 2015, 35(2):374-382.
[13] 陈联寿, 丁一汇. 西太平洋台风概论[M]. 北京:科学出版社, 1979:1-491. CHEN L S, DING Y H. The generality of typhoon in the Western Pacific[M]. Beijing:Science Press, 1979:1-491.
[14] 罗小莉, 姚才, 谭金凯. 登陆华南台风的频数及强度变化特征分析[J]. 海洋预报, 2018, 35(4):58-67. LUO X L, YAO C, TAN J K. Analysis on numbers and intensity characteristics of typhoon landed in the South China[J]. Marine Forecasts, 2018, 35(4):58-67.
[15] 刘春霞. 广东省登陆热带气旋活动异常成因分析[J]. 热带气象学报, 2004, 20(1):24-31, 113-114. LIU C X. The effect on abnormal action of tropical cyclone landfalling on Guangdong province[J]. Journal of Tropical Meteorology, 2004, 20(1):24-31, 113-114.
[16] 彭小桐, 关皓. 海南岛登陆热带气旋频数异常成因分析[J]. 气象研究与应用, 2011, 32(2):13-17. PENG X T, GUAN H. Abnormal frequency of the tropical cyclone landing in Hainan Island[J]. Journal of Meteorological Research and Application, 2011, 32(2):13-17.
[17] 吴胜安, 周广庆, 穆松宁. 中高纬度印度洋海温与西北太平洋夏季台风生成数的相关性[J]. 气候与环境研究, 2013, 18(2):243-250. WU S A, ZHOU G Q, MU S N. Relationship between sea surface temperature of middle-high latitude Indian Ocean and summer typhoon frequencies over the Western North Pacific[J]. Climatic and Environmental Research, 2013, 18(2):243-250.
[18] 黄菲, 姜治娜. 欧亚大陆阻塞高压的统计特征及其与中国东部夏季降水的关系[J]. 青岛海洋大学学报, 2002, 32(2):186-192. HUANG F, JIANG Z N. Study on the statistical characteristics of atmospheric blocking in the Eurasia and its relationship with the summer rainfall over the east of China[J]. Journal of Ocean University of Qingdao, 2002, 32(2):186-192.
[19] 史湘军, 智协飞. 1950-2004年欧亚大陆阻塞高压活动的统计特征[J]. 南京气象学院学报, 2007, 30(3):338-344. SHI X J, ZHI X F. Statistical characteristics of blockings in Eurasia from 1950 to 2004[J]. Journal of Nanjing Institute of Meteorology, 2007, 30(3):338-344.
[20] JONES C, CARVALHO L M V, HIGGINS R W, et al. A statistical forecast model of tropical intraseasonal convective anomalies[J]. Journal of Climate, 2004, 17(11):2078-2095.
[21] SCHWARZ G E. Estimating the dimension of a model[J]. The Annals of Statistics, 1978, 6(2):461-464.
[22] ZHAN R F, WANG Y Q, WEN M. The SST gradient between the southwestern pacific and the western pacific warm pool:a new factor controlling the northwestern pacific tropical cyclone genesis frequency[J]. Journal of Climate, 2013, 26(7):2408-2415.
[23] ZHOU B T, GUI X. Interdecadal change of the linkage between the North Atlantic Oscillation and the tropical cyclone frequency over the western North Pacific[J]. Science China Earth Sciences, 2014, 57(9):2148-2155.
[24] 陶丽, 蓝玉峰, 孔承承. ENSO与西北太平洋强TC相关关系年代际变化研究[J]. 大气科学学报, 2018, 41(5):596-607. TAO L, LAN Y F, KONG C C. Interdecadal variations in the relationship between the intense tropical cyclones over the Western North Pacific Ocean and the ENSO[J]. Transactions of Atmospheric Sciences, 2018, 41(5):596-607.
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
本系统由北京博渊星辰网络科技有限公司设计开发 技术支持电话:010-63361626