跳至主要内容

Regional Sea Level Variation on Interannual Timescale in the East China Sea

Read full paper at:
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51406#.VGlTlGfHRK0

Author(s)
Interannual sea level variation is investigated with the oceanic and atmospheric datasets in the East China Sea (ECS). Two modes are distinct on the interannual timescale, illustrated as the basin mode and the dipole mode. They account for 20% and 18% to the total interannual sea level variance respectively. The basin mode corresponds to the variability of the Kuroshio transport which is modulated by the PDO while the dipole mode is likely related to the local oceanic and atmospheric adjustment. Large-scale atmospheric circulation effect is dominant in influencing the interannual sea level in the ECS. ECS sea level responds barotropically to the basin-wide wind field, which illustrates negative correlation to the zonal-mean wind stress curl in the Pacific Ocean. Sea level variation exhibits the negative correlation at 8 years lag with the basin mean wind stress curl anomalies on the interannual timescale. The lagging years are consistent with the timescale that the baroclinic Rossby waves propagate westward in the North Pacific Ocean. Wind stress curl anomalies could also change the strength of the Kuroshio transport, and thus affect the local sea level through sea surface height adjustment. Local oceanic and atmospheric effect illustrates as another influence process. Steric effect contributes more than 20% to the interannual sea level gradually in a belt from the Fujian and Zhejiang coasts to the Korea/Tsushima strait. Especially in the northeast part, its contribution could be up to 60%. While for the local atmospheric process, zonal wind acts as a more important role on sea level than meridional component.
Cite this paper
Zhang, S. , Du, L. , Wang, H. and Jiang, H. (2014) Regional Sea Level Variation on Interannual Timescale in the East China Sea. International Journal of Geosciences, 5, 1405-1414. doi: 10.4236/ijg.2014.512114. 
 

[1] IPCC (2013) Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. In: Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V. and Midgley, P.M., Eds., Cambridge University Press, Cambridge, 153.
http://dx.doi.org/10.1017/CBO9781107415324
[2] IPCC (2007) Summary for Policymakers. In: Solomon, S., Qin, D., M. Manning. Chen, Marquis, M., Averyt, K.B., Tignor, M. and Miller, H.L., Eds., 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.
[3] Cabanes, C., Huck, T. and de Verdière, A.C. (2006) Contributions of Wind Forcing and Surface Heating to Interannual Sea Level Variations in the Atlantic Ocean. Journal of Physical Oceanography, 36, 1739-1750.
http://dx.doi.org/10.1175/JPO2935.1
[4] Cummins, P.F. and Lagerloef, G.S.E. (2004) Wind-Driven Interannual Variability over the Northeast Pacific Ocean. Deep Sea Research Part I: Oceanographic Research Papers, 51, 2105-2121.
[5] Timmermann, A., Shayne, M. and Jin, F.-F. (2010) Wind Effects on Past and Future Regional Sea Level Trends in the Southern Indo-Pacific. Journal of Climate, 23, 4429-4437.
[6] Landerer, F.W., Jungclaus, J.H. and Marotzke, J. (2007) Regional Dynamic and Steric Sea Level Change in Response to the IPCC-A1B Scenario. Journal of Physical Oceanography, 37, 296-312.
http://dx.doi.org/10.1175/JPO3013.1
[7] Li, J.C., Wang, Z.T. and Hu, J.G. (2000) Mean Sea Level Variation Using Historic Satellite Altimeter Data. Journal of Wuhan Technical University of Surveying and Mapping, 25, 343-347.
[8] Qiao, X. and Chen, G. (2008) A Preliminary Analysis on the China Sea Level Using 11 Years’ TOPEX/Poseidon Altimeter Data. Marine Sciences, 32, 60-64.
[9] Yan, M., Zuo, J.-C., Du, L., et al. (2007) Sea Level Variation/Change and Steric Contributions in the East China Sea. International Society of Offshore and Polar Engineers, Lisbon, 2377-2382.
[10] Zhang, S.W., Du, L., Chang, Y.T. and Li, J. (2012) Interannual and Decadal Variation of Sea Level in the East China Sea. Proceedings of the 22nd International Offshore and Polar Engineering Conference (ISOPE2012), Greece, Rhodes, 17-22 June 2012, Vol. 3, 693-700.
[11] Wang, Y., Xu, H.Z. and Zhan, J.G. (2001) Complex Principal Component Analysis of Sea Level Variability over China Seas from Topex/Poseidon Altimetry. Acta Geodaetica et Cartographica Sinica, 30, 173-178.
[12] Han, G.Q. and Huang, W.G. (2008) Pacific Decadal Oscillation and Sea Level Variability in the Bohai, Yellow, and East China Seas. Journal of Physical Oceanography, 38, 2772-2783.
http://dx.doi.org/10.1175/2008JPO3885.1
[13] Andres, M., Park, J.H., Wimbush, M., Zhu, X.H., Nakamura, H., Kim, K. and Chang, K.I. (2009) Manifestation of the Pacific Decadal Oscillation in the Kuroshio. Geophysical Research Letters, 36, L16602.
http://dx.doi.org/10.1029/2009GL039216
[14] Liu, X.Y., Liu, Y.G., Guo, L., Rong, Z.R., Gu, Y.Z. and Liu, Y.H. (2010) Interannual Changes of Sea Level in the Two Regions of East China Sea and Different Responses to ENSO. Global and Planetary Change, 72, 215-226.
http://dx.doi.org/10.1016/j.gloplacha.2010.04.009
[15] Balmaseda, M.A., Vidard, A. and Anderson, D.L.T. (2008) The ECMWF Ocean Analysis System ORA-S3. Monthly Weather Review, 136, 3018-3034.
http://dx.doi.org/10.1175/2008MWR2433.1
[16] Ishii, M. and Kimoto, M. (2009) Reevaluation of Historical Ocean Heat Content Variations with Time-Varying XBT and MBT Depth Bias Corrections. Journal of Oceanography, 65, 287-299.
http://dx.doi.org/10.1007/s10872-009-0027-7
[17] Book, J.W., Wimbush, M., Imawaki, S., Ichikawa, H., Uchida, H. and Kinoshita, H. (2002) Kuroshio Temporal and Spatial Variations South of Japan Determined from Inverted Echo Sounder Measurements. Journal of Geophysical Research, 107.
[18] Qiu, B. (2003) Kuroshio Extension Variability and Forcing of the Pacific Decadal Oscillations: Responses and Potential Feedback. Journal of Physical Oceanography, 33, 2465-2482.
http://dx.doi.org/10.1175/2459.1
[19] Andres, M., Kwon, Y.O. and Yang, J.Y. (2011) Observations of the Kuroshio’s Barotropic and Baroclinic Responses to Basin-Wide Wind Forcing. Journal of Geophysical Research, 116, C04011.
http://dx.doi.org/10.1029/2010JC006863
[20] Liu, X.H., Lin, X.P., Wang, L.S. and Zhou, S.L. (2012) Pacific Wind Change and Its Influence on SST in East Asia Marginal Sea. Periodical of Ocean University of China, 42, 23-30.
[21] Ichikawa, H. and Chaen, M. (2000) Seasonal Variation of Heat and Freshwater Transports by the Kuroshio in the East China Sea. Journal of Marine Systems, 24, 119-129.
http://dx.doi.org/10.1016/S0924-7963(99)00082-2
[22] Yuan, Y.C., Yang, C.H. and Wang, Z.G. (2006) Variability of the Kuroshio in the East China Sea and the Currents East of Ryukyu Islands, I: Variability of the Kuroshio in the East China Sea and the Meso-Scale Eddies near the Kuroshio in 2000. Acta Oceanologica Sinica, 28, 1-13.
[23] Zhang, Y.C., Zhang, L.F. and Wang, Y.G. (2010) Interannual Sea Level Variability in the North Pacific Ocean and Its Mechanisms. Chinese Journal of Geophysics, 53, 54-63.
http://dx.doi.org/10.1002/cjg2.1472
[24] Ponte, R.M. (2012) An Assessment of Deep Steric Height Variability over the Global Ocean. Geophysical Research Letters, 39, L04601.
http://dx.doi.org/10.1029/2011GL050681
[25] Tabata, S., Thomas, B. and Ramsden, D. (1986) Annual and Interannual Variability of Steric Sea Level along Line P in the Northeast Pacific Ocean. Journal of Physical Oceanography, 16, 1378-1398.            eww141117lx
http://dx.doi.org/10.1175/1520-0485(1986)016<1378:AAIVOS>2.0.CO;2
标签：

评论

发表评论

此博客中的热门博文

Does Immigration Promote the Investment of the Monopolistic Firm?

In the present paper, we examine the effect of increasing uncertainty of immigrants’ growth on the optimal timing of investment of a firm that has a monopolistic power over the labor market. It is revealed that when the uncertainty of immigrants’ growth is more than a threshold level, increasing uncertainty of immigrants’ growth accelerates the optimal timing of firms’ investment and enhances the economic growth, even if the uncertainty of immigrants’ growth is formulated by the geometric Brownian motion, which is in sharp contrast to the standard result that an increase in the uncertainty postpones the optimal timing. With an increase in the immigrants over the past ten years, workforces in the host countries have been growing significantly to the extent that the immigrants represent 70% of the increase in the workforce in Europe, and 47% in the United States as OECD indicates. In the present paper, we attempted to investigate the effect of increased uncertainty caused by the growi...
发表评论
阅读全文

Education Policy Implementation: A Mechanism for Enhancing Primary Education Development in Zanzibar

Education is one of the fundamental rights of individuals; therefore, the government of a country needs to develop and strengthen educational policy and quality as well as to ensure that everyone has equal access to basic education. The improvement of access and quality of education in the world is becoming as an essential factor in development, whereas the basic education (primary school), is acknowledged as a foundation of the higher educational development for every country. To fulfill this goal, governments introduce several policies and procedures; however, it requires some reforms and participation from the politician, policymakers, and other stakeholders to re-examine educational policy so that it can lead to multiplication and betterment of the reforms. Educational reforms actually focus on accountability. A positive educational development and reform is very challenging and needs more effort and strategy on how to use and utilize the resources effectively as such it can achie...
发表评论
阅读全文