|
|
Research on decadal variability of ENSO predictability with Cao method |
Liu Yanhui1,Wang Fang2,Zhu Wenchao3,Huang Weixin4 |
1.Jiangmen Xinhui Meteorological Bureau of Guangdong,Xinhui 529100; 2.Kaiping Meteorological Bureau of Guangdong,Kaiping 529300; 3.Taishan Meteorological Bureau of Guangdong,Taishan 529200; 4.Yangjiang Meteorological Bureau of Guangdong,Yangjiang 529000 |
|
|
Abstract In order to research the relation between decadal variability of ENSO predictability and observation data, a nonlinear time series analysis method is used to probe the certainty extent in different decades. For the sake of the conundrum of measuring the certainty extent in time series, the estimation measure E2 based on Cao method is analysed with some statistics. The results show that Cao method can be used to roughly estimate the extent of certainty and randomicity but it is not precise, because the robustness of Cao method is not strong.The purity of time series data is more important than their length.The decadal change of ENSO predictability is not simply caused by observation data and it is still necessary to thoroughly analyse the reasons.
|
Received: 23 October 2012
|
|
|
|
|
[1] |
陈烈庭.北太平洋副热带高压与赤道东部海温的相互作用[J].大气科学,1982,6(2):148-156.
|
[2] |
程炳岩,孙卫国,王记芳.热带海表温度及北大西洋涛动与ENSO事件的相关分析[J].气象科技,2005,33(4):318-323.
|
[3] |
陈奕德,张韧,蒋国荣.近年来国内ENSO研究概述[J].热带气象学报,2005,22(6):634-641.
|
[4] |
王彦磊,黄兵,郑红莲,等. ENSO循环及相关研究进展[J].沙漠与绿洲气象,2009,3(4):1-8.
|
[5] |
严军,刘健文.基于神经网络奇异谱分析的ENSO指数预测[J].大气科学,2005,29(4):620-626.
|
[6] |
李崇银. 关于ENSO本质的进一步研究[J].气候与环境研究,2002,7(2):160-174.
|
[7] |
于江龙,彭跃华.应用互信息法和Cao方法探讨ENSO的可预报性[J].气象科技,2011,39(1):9-12.
|
[8] |
范晓青,李维京,张培群.模式大气月尺度可预报性的对比研究[J].应用气象学报,2003,18(1):49-60.
|
[9] |
赵彦,郭裕福,袁重光,等.短期气候数值预测可预报性问题[J].应用气象学报,2000(S1):64-71.
|
[10] |
周秀骥.大气随机动力学与可预报性[J]. 气象学报,2005,63(5):806-810.
|
[11] |
李坤玉,李晓东.ENSO非线性预报[J].北京大学学报(自然科学版),2007,43(1):30-34.
|
[12] |
施晓晖,徐祥德.东亚冬季风年代际变化可能成因的模拟研究[J].应用气象学报,2007,18(6):776-782.
|
[13] |
许小可.基于非线性分析的海杂波处理与目标检测[D].大连海事大学,2008.
|
|
|
|