Multi-scale analysis of sea-level change and its spatial characteristics in northwest Pacific Ocean marginal seas
Received date: 2009-01-25
Revised date: 2009-05-26
Online published: 2009-11-25
Supported by
国家自然科学基金重点项目(40730527),资源与环境信息系统国家重点实验室基金项目,973计划前期研究专项课题(2007CB416602)。
In this paper, MODWT multi-scale decomposition methods are used to decompose the monthly average tidal records of eight tidal gauge stations in northwest Pacific Ocean marginal seas during 1965~2005. Furthermore, multi-scale fluctuation and spatial differentiation characteristics in these areas are discussed. The results indicate that all the stations are identified with annual fluctuating periods, and their change scopes in south of Zhapo, China coast and north of Kanmen are 50 mm, 70~90 mm and 65 mm, respectively. The change scopes of semiannual periods in three China coast tide gauges vary from 50 to 60 mm, which is larger than those of other gauges. When the change scopes of the inter-annual oscillations decrease from low latitude to high latitude, the scopes in Cube, Legaspi and Inchon are about 65 mm, while it decreases to about 45 mm in other stations. Mode mixing, which is mainly manifested as series configuration and phase difference at different time spans, is predominantly combined with ENSO signal and quasi-periodic oscillations of 1~2 years. The mode mixing signals can be clearly extracted by using ICA method, and the ENSO signal extracted by ICA filtering can be compared well with MEI index. The responses of sea level to ENSO in different stations decrease from low to high latitude, which are manifested by the amplitude of ENSO signal. Wavelet semblance analysis is introduced to analyze the correlation between ENSO signal and MEI index. The results show that sea levels of low latitude zone are mainly negatively correlated with ENSO at each scale, while sea levels of high latitude zone are mainly positively correlated. In mid-high latitude zone, the responses of sea level to ENSO are significantly different before 1980 and hereafter, which might be related to the frequency change of ENSO. The responses of sea level to ENSO show remarkable particularity at about 80-month scale during 1982~1983 and 1997~1998, which are identified as the two strongest ENSO events during the 20th century. The comprehensive analysis of this relative long-time scale may be helpful to the further understanding of the mechanism and process of these two strongest ENSO events.
YU Zhao-yuan, YUAN Lin-wang, LV Guo-nian, XIE Zhi-ren, ZHANG Ji-yi, MEI Wei-chang . Multi-scale analysis of sea-level change and its spatial characteristics in northwest Pacific Ocean marginal seas[J]. GEOGRAPHICAL RESEARCH, 2009 , 28(6) : 1644 -1655 . DOI: 10.11821/yj2009060020
[1] 谢志仁,夏胜俊.面向未来的海面变化研究.地学前缘,1997,4(2):235~246.
[2] Cazenave A,Nerem R S.Present-day sea level change: Observation and causes.Reviews of Geophysics , 2004,42:1~20.
[3] Milly P C D, Cazenave A,Gennero M C.Contribution of climate-driven change in continental water storage to recent sea-level rise,PNAS,2003,100(23):13158~13161.
[4] Solomon S D et al (eds) IPCC, 2007: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press,Cambridge,United Kingdom and New York,NY,USA.
[5] Munk W.From the Cover: Twentieth century sea level: An enigma . Proceedings of the National Academy of Sciences,2002,99(10):6550~6555.
[6] Cabanes C,Cazenave A,Provost C L.Sea level rise during past 40 years determined from satellite and in situ observations.Science,2001,294:840~842.
[7] Miller L,Douglas B C.Mass and volume contributions to 20th century global sea level rise.Nature,2004,428:406~409.
[8] Dowdeswell J A.The Greenland Ice Sheet and Global Sea-Level Rise.Science,2006,311:963~964
[9] Arendt A A,Echelmeyer K A,Harrison W D,et al.Rapid wastage of Alaska glaciers andtheir contribution to rising sea level.Science,2002,297:382~386.
[10] Church J A,White N J,Arblaster J M.Significant decadal-scale impact of volcanic eruptions on sea level and ocean heat content.Nature,2005,438(7064):74~77.
[11] Muller R D,Sdrolias M,Gaina C,et al.Long-Term Sea-Level Fluctuations Driven by Ocean Basin Dynamics.Science,2008,319(5868):1357~1362.
[12] Rahmstorf S.A Semi-Empirical Approach to Projecting Future Sea-Level Rise.Science,2007,315:368~370.
[13] 李坤平,周天华,陈宗镛.中国近海月平均海面的变化及其原因的初步分析.海洋学报,1982,4(5):529~536.
[14] 左军成,于宜法,陈宗墉.中国沿岸海平面变化原因的探讨.地球科学进展,1994,9(5):48~53.
[15] 浦泳修.中国大陆沿岸月平均海平面的季节性变化.海洋学报,1988,10(3):270~278.
[16] 沈健,王宝灿.长江河口区平均海面季节性变化的分析.地理学报,1990,45(4):441~450.
[17] 于克俊.中国东部沿岸平均海面变化的分析.海洋与湖沼,1985,16(2):127~137.
[18] Kang S K,Cherniawsky Y,Foreman M G G,et al.Spatial variability in annual sea level variations around the Korean peninsula.Geophysical Research Letters,2008,35:L03603.
[19] Rong Z,Liu Y,Zong H,et al.Interannual sea level variability in the South China Sea and its response to ENSO.Global and Planetary Change,2007,55(4):257~272.
[20] 陈永申,李克让,沙万英.西北太平洋海面总加热强度的时空特征.地理研究,1985,4(1):14~21.
[21] 李力.中国东南沿岸海面的异常与1982~1983年El Ni o.海洋与湖沼,1989,20(3):292~296
[22] Eduardo O,Ebeling W,Lanius K.MEI, SOI and mid-range correlations in the onset of El Ni o-Southern Oscillation.Physica A: Statistical Mechanics and its Applications,2002,310(3-4):509~520.
[23] Wolter K,Timlin M S.Measuring the strength of ENSO events-how does 1997/98 rank? Weather,1998,53:315~324.
[24] Wolter K,Timlin M S.Monitoring ENSO in COADS with a seasonally adjusted principal component index.In Proceedings of the 17th Climate Diagnostics Workshop,Norman,OK,NOAA/N MC/CAC,NSSL,Oklahoma Clim. Survey,CIMMS and the School of Meteor.,Univ. of Oklahoma,F,1993.
[25] Percival D B,Walden A T.Wavelet Methods for Time Series Analysis.London:Cambridge University Press,2000
[26] Hyvrinen A,Karhunen J,Oja E.Independent Component Analysis.Neural Computing Surveys,2001(2):94~128.
[27] Hyvrinen A.The Fixed-point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis.Neural Processing Letters,1999,10(1):1~5.
[28] Hyvrinen A,Oja E.Independent component analysis: algorithms and applications.Neural Networks,2000(13):411~430.
[29] Himberg J,Hyvrinen A.Icasso: software for investigating the reliability of ica estimates by clustering and visualization.In Proc. 2003 IEEE workshop on neural networks for signal processing (NNSP’2003),2003:259~268.
[30] Cooper G R J,Cowan D R.Comparing time series using wavelet-based semblance analysis.Comput. Geosci,2008,34(2):95~102.
[31] An S I,Wang B.Interdecadal Change of the Structure of the ENSO Mode and Its Impact on the ENSO Frequency.Journal of Climate,2000,13(12):2044~2055.
[32] Dickey J O,Marcus S L,Hide R.Global propagation of interannual fluctuations in atmospheric angular momentum.Nature,1992,357(6):484~488.
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