Search

Article

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Mechanism analysis of the abnormal activities and polymorphism in subtropical high based on the objective fitting of space-basis function

Xue Feng Ge Jing-Jing Hong Mei Zhang Ren He Jin-Hai

Citation:

Mechanism analysis of the abnormal activities and polymorphism in subtropical high based on the objective fitting of space-basis function

Xue Feng, Ge Jing-Jing, Hong Mei, Zhang Ren, He Jin-Hai
PDF
Get Citation

(PLEASE TRANSLATE TO ENGLISH

BY GOOGLE TRANSLATE IF NEEDED.)

  • In order to analyze the dynamical mechanism of the abnormal activity of the subtropical high, the variables in the partial differential vortex equations based on the heat force and the whorl movement dissipation effect, are separated in space and time with Galerkin methods. Aiming at resolving the problem of the insufficiency and shortcoming of the conventional method in the choice of space-basis function, we set forth the research idea of using the expirical orthogonal function (EOF) and the genetic algorithm combined with inversion of the space-basis function from the actual sequence of data fields. After the EOF of the daily time series of the subtropical high potential fields, the first three major typical space fields whose cumulative variance contribution is more than 90 percent as the fitting object are chosen, and a group of trigonometric function is selected as the general space-basis function. And then, the dual-constraint function is formulated with the complete orthogonality between space-basis function and the least square of error of general space-basis function and EOF typical field. Then the genetic algorithm is introduced to carry out the curved surface fitting and coefficient optimization of the basis function, and through inversion, an objective and reasonable ordinary differential dynamical model of subtropical high is obtained. Furthermore, through the EOF and inversion of history sensible heat field data, an ordinary differential dynamical model of subtropical high which objectively takes into account of the distribution of thermal factors is set up. Finally, based on the above obtained nonlinear dynamical model, the complicated dynamic behaviors and mechanism of the subtropical high under the impact of heat force are analyzed and discussed, also some new opinions are obtained. For example, the east-west sensitive heat intensity and the configuration distribution and the east-west sensitive heat difference are important factors that lead to a complex configuration (such as the subtropical high double-ridges phenomenon) of the subtropical high flow field and potential field. The heliacal season radicalization heat and the east-west sensitive heat distribution of the East Asia are the important reasons that lead to the subtropical high mutations and the subtropical high flow abnormality, such as the subtropical high north leap and west extend.
    [1]

    Liu C J, Tao S Y 1983 Sci. Chin. Ser. B 5 474 (in Chinese) [柳崇健、 陶诗言 1983 中国科学B 5 474]

    [2]

    Dong B W, Chou J F 1988 Acta Meteorol. Sin. 46 361 (in Chinese) [董步文、 丑纪范 1988 气象学报 46 361]

    [3]

    Miao J H, Ding M F 1985 Sci. Chin. Ser. B 1 87 (in Chinese) [缪锦海、 丁敏芳 1985 中国科学B 1 87]

    [4]

    Zhang R, Yu Z H 2000 Adv. Atmos. Sci. 17 61

    [5]

    Cao J, Huang R H, Xie Y Q 2002 Chin. J. Atmos. Sci. 32 559 (in Chinese) [曹 杰、 黄荣辉、 谢应齐 2002 大气科学 32 559]

    [6]

    Lü K L, Xu Y Z, Tan Z M 1997 The Dynamic Meteorology (Nanjing: Nanjing University Press) p135 (in Chinese)[吕克利、 徐银梓、 谈哲敏 1997 动力气象学 (南京: 南京大学出版社) 第135页]

    [7]

    Wu H B, Wu L 2005 The Climate Variability Diagnosis and the Prediction Method (Beijing: Meteorological Press) pp2—32 (in Chinese)[吴洪宝、吴 蕾 2005 气候变率诊断和预测方法 (北京: 气象出版社) 第2—32页]

    [8]

    Xuan G N, Cheng R W 2004 The Genetic Algorithm and the Engineering Optimization (Beijing: Qinghua University Press) pp21—30 (in Chinese)[玄光男、 程润伟 2004 遗传算法与工程优化 (北京: 清华大学出版社) 第21—30页]

    [9]

    Zhan R F, Li J P, He J H 2004 Acta Meteor. Sin. 62 112 (in Chinese) [占瑞芬、 李建平、 何金海 2004 气象学报 62 112]

    [10]

    Zhang R, Shi H S, Yu S H 1995 Chin. J. Atmos. Sci. 19 687 (in Chinese) [张 韧、 史汉生、 喻世华 1995 大气科学 19 687]

    [11]

    Zhang R, Hong M 2006 Appl. Math. Mech. 27 1645

    [12]

    Zhang R, Wang H Z 2007 J. Nanjing Inst. Meteorol. 30 723 (in Chinese) [张 韧、 王辉赞 2007 南京气象学院学报 30 723]

    [13]

    Zhang R, Hong M 2008 Chin. J. Eng. Math. 25 381 (in Chinese) [张 韧、 洪 梅 2008 工程数学学报 25 381]

    [14]

    Dai B D, Cheng Y M 2007 Acta Phys. Sin. 56 597 (in Chinese) [戴保东、 程玉民 2007 物理学报 56 597]

    [15]

    Gong Z Q, Feng G L, Dong W J, Li J P 2006 Acta Phys. Sin. 55 3180 (in Chinese) [龚志强、 封国林、 董文杰、 李建平 2006 物理学报 55 3180]

    [16]

    Liu S H,Tang J S 2008 Acta Phys. Sin. 57 6162 (in Chinese) [刘素华、 唐驾时 2008 物理学报 57 6162]

    [17]

    Hou D X, Liu B, Shi P M 2009 Acta Phys. Sin. 58 5942 (in Chinese) [侯东晓、 刘 彬、 时培明 2009 物理学报 58 5942]

    [18]

    Lou Z M 2010 Acta Phys. Sin. 59 719 (in Chinese) [楼智美 2010 物理学报 59 719]

    [19]

    Zhang Q C, Tian R L, Wang W 2008 Acta Phys. Sin. 57 2799 (in Chinese) [张琪昌、 田瑞兰、 王 炜 2008 物理学报 57 2799]

  • [1]

    Liu C J, Tao S Y 1983 Sci. Chin. Ser. B 5 474 (in Chinese) [柳崇健、 陶诗言 1983 中国科学B 5 474]

    [2]

    Dong B W, Chou J F 1988 Acta Meteorol. Sin. 46 361 (in Chinese) [董步文、 丑纪范 1988 气象学报 46 361]

    [3]

    Miao J H, Ding M F 1985 Sci. Chin. Ser. B 1 87 (in Chinese) [缪锦海、 丁敏芳 1985 中国科学B 1 87]

    [4]

    Zhang R, Yu Z H 2000 Adv. Atmos. Sci. 17 61

    [5]

    Cao J, Huang R H, Xie Y Q 2002 Chin. J. Atmos. Sci. 32 559 (in Chinese) [曹 杰、 黄荣辉、 谢应齐 2002 大气科学 32 559]

    [6]

    Lü K L, Xu Y Z, Tan Z M 1997 The Dynamic Meteorology (Nanjing: Nanjing University Press) p135 (in Chinese)[吕克利、 徐银梓、 谈哲敏 1997 动力气象学 (南京: 南京大学出版社) 第135页]

    [7]

    Wu H B, Wu L 2005 The Climate Variability Diagnosis and the Prediction Method (Beijing: Meteorological Press) pp2—32 (in Chinese)[吴洪宝、吴 蕾 2005 气候变率诊断和预测方法 (北京: 气象出版社) 第2—32页]

    [8]

    Xuan G N, Cheng R W 2004 The Genetic Algorithm and the Engineering Optimization (Beijing: Qinghua University Press) pp21—30 (in Chinese)[玄光男、 程润伟 2004 遗传算法与工程优化 (北京: 清华大学出版社) 第21—30页]

    [9]

    Zhan R F, Li J P, He J H 2004 Acta Meteor. Sin. 62 112 (in Chinese) [占瑞芬、 李建平、 何金海 2004 气象学报 62 112]

    [10]

    Zhang R, Shi H S, Yu S H 1995 Chin. J. Atmos. Sci. 19 687 (in Chinese) [张 韧、 史汉生、 喻世华 1995 大气科学 19 687]

    [11]

    Zhang R, Hong M 2006 Appl. Math. Mech. 27 1645

    [12]

    Zhang R, Wang H Z 2007 J. Nanjing Inst. Meteorol. 30 723 (in Chinese) [张 韧、 王辉赞 2007 南京气象学院学报 30 723]

    [13]

    Zhang R, Hong M 2008 Chin. J. Eng. Math. 25 381 (in Chinese) [张 韧、 洪 梅 2008 工程数学学报 25 381]

    [14]

    Dai B D, Cheng Y M 2007 Acta Phys. Sin. 56 597 (in Chinese) [戴保东、 程玉民 2007 物理学报 56 597]

    [15]

    Gong Z Q, Feng G L, Dong W J, Li J P 2006 Acta Phys. Sin. 55 3180 (in Chinese) [龚志强、 封国林、 董文杰、 李建平 2006 物理学报 55 3180]

    [16]

    Liu S H,Tang J S 2008 Acta Phys. Sin. 57 6162 (in Chinese) [刘素华、 唐驾时 2008 物理学报 57 6162]

    [17]

    Hou D X, Liu B, Shi P M 2009 Acta Phys. Sin. 58 5942 (in Chinese) [侯东晓、 刘 彬、 时培明 2009 物理学报 58 5942]

    [18]

    Lou Z M 2010 Acta Phys. Sin. 59 719 (in Chinese) [楼智美 2010 物理学报 59 719]

    [19]

    Zhang Q C, Tian R L, Wang W 2008 Acta Phys. Sin. 57 2799 (in Chinese) [张琪昌、 田瑞兰、 王 炜 2008 物理学报 57 2799]

  • [1] Luan Jia-Qi, Zhang Ya-Jie, Chen Yu, Gao Ding-Shan, Li Pei-Li, Li Jia-Qi, Li Jia-Qi. Genetic algorithm based terahertz multifunctional reconfigurable Dirac semi-metallic coded metasurface. Acta Physica Sinica, 2024, 73(14): 144204. doi: 10.7498/aps.73.20240225
    [2] Li Tie-Jun, Sun Yue, Zheng Ji-Wen, Shao Gui-Fang, Liu Tun-Dong. Stable structure optimization of Au-Cu-Pt trimetallic nanoparticles based on genetic algorithm. Acta Physica Sinica, 2015, 64(15): 153601. doi: 10.7498/aps.64.153601
    [3] Chang Hong-Wei, Ma Hua, Zhang Jie-Qiu, Zhang Zhi-Yuan, Xu Zhuo, Wang Jia-Fu, Qu Shao-Bo. Optimization of metamaterial based weighted real-coded genetic algorithm. Acta Physica Sinica, 2014, 63(8): 087804. doi: 10.7498/aps.63.087804
    [4] Peng Wu, He Yi-Gang, Fang Ge-Feng, Fan Xiao-Teng. An ameliorative algorithm of two-dimensional Poisson equation based on genetic parallel successive over-relaxation method. Acta Physica Sinica, 2013, 62(2): 020301. doi: 10.7498/aps.62.020301
    [5] Hong Mei, Zhang Ren, Liu Ke-Feng. Retrieving dynamic forecast model of the western pacific subtropical high in abnormal years based on GA. Acta Physica Sinica, 2013, 62(7): 070505. doi: 10.7498/aps.62.070505
    [6] He Ran, Huang Si-Xun, Zhou Chen-Teng, Jiang Zhu-Hui. Genetic algorithm with regularization method to retrieve ocean atmosphere duct. Acta Physica Sinica, 2012, 61(4): 049201. doi: 10.7498/aps.61.049201
    [7] Zu Yun-Xiao, Zhou Jie. Cognitive radio resource allocation based on combined chaotic genetic algorithm. Acta Physica Sinica, 2011, 60(7): 079501. doi: 10.7498/aps.60.079501
    [8] Wang Jian-Bo, Lu Jun. Double screen frequency selective surface structure optimized by genetic algorithm. Acta Physica Sinica, 2011, 60(5): 057304. doi: 10.7498/aps.60.057304
    [9] Song Dan, Zhang Xiao-Lin. Study of the multi-system compatible receiver’s frequency selection problem based on fixed point theory and its genetic algorithm realization. Acta Physica Sinica, 2010, 59(9): 6697-6705. doi: 10.7498/aps.59.6697
    [10] Zhou Yu-Shu, Ran Ling-Kun. Advective vorticity equation and its application to the vorticity variation of typhoon Bilis in 2006. Acta Physica Sinica, 2010, 59(2): 1366-1377. doi: 10.7498/aps.59.1366
    [11] Xu Zhi-Jun, Nie Qing-Miao, Li Peng-Hua. Study of the ground state wave function in optical lattice by using the genetic algorithm. Acta Physica Sinica, 2009, 58(5): 2878-2883. doi: 10.7498/aps.58.2878
    [12] Cheng Xing-Hua, Tang Long-Gu, Chen Zhi-Tao, Gong Min, Yu Tong-Jun, Zhang Guo-Yi, Shi Rui-Ying. A genetic algorithm research on Lorentz oscillator model in infrared spectra of GaMnN. Acta Physica Sinica, 2008, 57(9): 5875-5880. doi: 10.7498/aps.57.5875
    [13] Niu Pei_Feng, Zhang Jun, Guan Xin_Ping. Research on a proportional-integral-derivative neural network decoupling control based on genetic algorithm optimization for unified chaotic system. Acta Physica Sinica, 2007, 56(5): 2493-2497. doi: 10.7498/aps.56.2493
    [14] Lin Hai, Wu Chen-Xu. Evolution of strategies based on genetic algorithm in the iterated prisoner’s dilemma on complex networks. Acta Physica Sinica, 2007, 56(8): 4313-4318. doi: 10.7498/aps.56.4313
    [15] Gong Chun-Juan, Hu Xiong-Wei. Design of triangular lattice photonic crystals using genetic algorithms. Acta Physica Sinica, 2007, 56(2): 927-932. doi: 10.7498/aps.56.927
    [16] Niu Pei-Feng, Zhang Jun, Guan Xin-Ping. Research on genetic algorithm optimization based on PID control with two degrees of freedom controller for chaotic system. Acta Physica Sinica, 2007, 56(7): 3759-3765. doi: 10.7498/aps.56.3759
    [17] Zhong Hui-Lin, Wu Fu-Gen, Yao Li-Ning. Application of genetic algorithm in optimization of band gap of two-dimensional phononic crystals. Acta Physica Sinica, 2006, 55(1): 275-280. doi: 10.7498/aps.55.275
    [18] Bao Wen-Xing, Zhu Chang-Chun, Cui Wan-Zhao. Study of structure optimization of carbon nanotubes using hybrid genetic algorithm based on clonal selection principle. Acta Physica Sinica, 2005, 54(11): 5281-5287. doi: 10.7498/aps.54.5281
    [19] Wang Dong-Feng. Genetic algorithm optimization based proportional-integral-derivative controller for unified chaotic system. Acta Physica Sinica, 2005, 54(4): 1495-1499. doi: 10.7498/aps.54.1495
    [20] Wu Zhong-Qiang, Ao Dun, Liu Kun. Fuzzy control of a chaotic system based on genetic algorithm. Acta Physica Sinica, 2004, 53(1): 21-24. doi: 10.7498/aps.53.21
Metrics
  • Abstract views:  8099
  • PDF Downloads:  625
  • Cited By: 0
Publishing process
  • Received Date:  27 June 2009
  • Accepted Date:  21 April 2010
  • Published Online:  05 May 2010

/

返回文章
返回