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A new version of regional ocean reanalysis for coastal waters of China and adjacent seas

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doi: 10.1007/s00376-012-2195-4

  • A new regional ocean reanalysis over multiple decades (1958-2008) for the coastal waters of China and adjacent seas has been completed by the National Marine Data and Information Service (NMDIS) under the CORA (China Ocean ReAnalysis) project. Evaluations were performed on three aspects: (1) the improvement of general reanalysis quality; (2) eddy structures; and (3) decadal variability of sea surface height anomalies (SSHAs). Results showed that the quality of the new reanalysis has been enhanced beyond: 40% (39% for temperature, 44% for salinity) in terms of the reduction of root mean squared errors (RMSEs) for which the reanalysis values were compared to observed values in the observational space. Compared to the trial version released to public in 2009, the new reanalysis is able to reproduce more detailed eddy structures as seen in satellite and in situ observations. EOF analysis of the reanalysis SSHAs showed that the new reanalysis reconstructs the leading modes of SSHAs much better than the old version. These evaluations suggest that the new CORA regional reanalysis represents a much more useful dataset for the community of the coastal waters of China and adjacent seas.
    摘要: A new regional ocean reanalysis over multiple decades (19582008) for the coastal waters of China and adjacent seas has been completed by the National Marine Data and Information Service (NMDIS) under the CORA (China Ocean ReAnalysis) project. Evaluations were performed on three aspects: (1) the improvement of general reanalysis quality; (2) eddy structures; and (3) decadal variability of sea surface height anomalies (SSHAs). Results showed that the quality of the new reanalysis has been enhanced beyond: 40% (39% for temperature, 44% for salinity) in terms of the reduction of root mean squared errors (RMSEs) for which the reanalysis values were compared to observed values in the observational space. Compared to the trial version released to public in 2009, the new reanalysis is able to reproduce more detailed eddy structures as seen in satellite and in situ observations. EOF analysis of the reanalysis SSHAs showed that the new reanalysis reconstructs the leading modes of SSHAs much better than the old version. These evaluations suggest that the new CORA regional reanalysis represents a much more useful dataset for the community of the coastal waters of China and adjacent seas.
  • Atlas, R., R. N. Hoffman, J. Ardizzone, S. M. Leidner, J. C. Jusem, D. K. Smith, and D. Gombos, 2011: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bull. Amer. Meteor. Soc., 92(2), 157–174.

    Carton, J. A., and B. S. Giese, 2008: A reanalysis of ocean climate using simple ocean data assimilation (SODA). Mon. Wea. Rev., 136, 2999–3017.

    Cooper, M., and K. Haines, 1996: Altimetric assimilation with water property conservation. J. Geophys. Res., 101(C1), 1059–1077.

    Ezer, T., and G. L. Mellor, 2004: A generalized coordinate ocean model and a comparison of the bottom boundary layer dynamics in terrain-following and in z-level grids. Ocean Modelling, 6, 379–403.

    Han, G.-J., W. Li, Z.-J. He, K.-X. Liu, and J.-R. Ma, 2006: Assimilated tidal results of tide gauge and TOPEX/POSEIDON data over the China seas using a variational adjoint approach with a nonlinear numerical model. Adv. Atmos. Sci., 23(3), 449–460, doi: 10.1007/s00376-006-0449-8.

    Han, G.-J., and Coauthors, 2011: A regional ocean reanalysis system for coastal waters of China and adjacent seas. Adv. Atmos. Sci., 28(3), 682–690, doi: 10.1007/s00376-010-9184-2.

    He, Z.-J., G.-J. Han, W. Li, D. Li, X.-F. Zhang, X.-D. Wang, and X.-R. Wu, 2010: Experiments on assimilating of satellite data in the China seas and adjacent seas. Periodical of Ocean University of China, 40(9), 1–7. (in Chinese)

    Li, W., Y. Xie, Z.-J. He, G.-J. Han, K.-X. Liu, J.-R. Ma, and D. Li, 2008: Application of the multi-grid data assimilation scheme to the China seas' temperature forecast. J. Atmos. Oceanic Technol., 25, 2106–2116.

    Li, W., Y. Xie, S.-M. Deng, and Q. Wang, 2010: Application of the multigrid method to the two-dimensional doppler radar radial velocity data assimilation. J. Atmos. Oceanic Technol., 27(2), 319–332.

    Mellor, G., and A. F. Blumberg, 2004: Wave breaking and ocean surface layer thermal response. J. Phys. Oceanogr., 34, 693–698.

    Mellor, G., S. Hakkinen, T. Ezer, and R. Patchen, 2002: A generalization of a sigma coordinate ocean model and an intercomparison of model vertical grids. Ocean Forecasting: Conceptual basis and Applications. N. Pinardi and J. Woods Eds., Springer, 55–72.

    Shu, Y. Q., J. Zhu, D. X. Wang, C. X. Yan, and X. J. Xiao, 2009: Performance of four sea surface temperature assimilation schemes in the South China Sea. Continental Shelf Research, 29, 1489–1501.

    Shu, Y. Q., J. Zhu, and D. X. Wang, 2011: Assimilating remote sensing and in situ observations into a coastal model of northern South China Sea using ensemble Kalman filter. Continental Shelf Research, 31, S24–S36.

    Troccoli, A., and Coauthors, 2002: Salinity adjustments in the presence of temperature data assimilation. Mon. Wea. Rev., 130, 89–102.

    Wang, D. X., Y. H. Qin, X. J. Xiao, Z. Q. Zhang, and F. M. Wu, 2012a: Preliminary results of a new global ocean reanalysis. Chinese Science Bulletin, 57, 3509–3517.

    Wang, D. X., Y. H. Qin, X. J. Xiao, Z. Q. Zhang, and X. Y. Wu, 2012b: El Ni?o and El Ni?o Modoki variability based on a new ocean reanalysis. Ocean Dynamics, 62, 1311–1322.

    Wang, X.-D., G.-J. Han, Y.-Q. Qi, and W. Li, 2011: Impact of barrier layer on typhoon-induced sea surface cooling. Dyn. Atmos. Oceans, 52, 367–385. doi: 10.1016/j.dynatmoce.2011.05.002.

    Wang, X.-D., W. Li, Y.-Q. Qi, and G.-J. Han, 2012: Heat, salt and volume transport of eddies over vicinity of Luzon strait. Deep-Sea Res., 61, 21–33, doi: 10.1016/j.dsr.2011.11.006.

    Wong, A. P. S., G. C. Johnson, and W. B. Owens, 2003: Delayed-mode calibration of autonomous CTD profiling float salinity data by θ-S climatology. J. Atmos. Oceanic Technol., 20, 308–318.

    Wu, Y., G. S. Cheng, G.-J. Han, Y. Q. Shu, and D. X. Wang, 2013: Analysis of seasonal and interannual variability of sea surface temperature for China Seas based on CORA dataset. Acta Oceanologica Sinica, 35(1), 44–54. (in Chinese)

    Xiao, X. J., D. X. Wang, and J. J. Xu, 2006: The assimilation experiment in the southwestern South China Sea in summer 2000. Chinese Science Bulletin, 51, doi: 10.1007/s11434-006-9031-4.

    Xiao, X. J., D. X. Wang, C. X. Yan, and J. Zhu, 2008: Evaluation of a 3DVAR system for the South China Sea. Progress in Natural Science, 18, 547–554.

    Xing, Y. S., G. S. Cheng, Y. Q. Shu, and D. X. Wang, 2012: Anomalous characteristics of the ocean circulation in the South China Sea during the El Ni?o events. Oceanologia et Limnologia Sinica, 43, 1–9. (in Chinese)

    Yan, C.-X., J. Zhu, and G.-Q. Zhou, 2004: The roles of vertical correlation of the background covariance and T-S relation in estimation temperature and salinity profiles from surface dynamic height. J. Geophys. Res., 109, doi: 10.1029/2003JC002224.

    Yu, T., Z. Deng, G.-J. Han, X.-R. Wu, H.-L. Fu, and K.-J. Wu, 2012: The reanalysis of currents and throughflow volume transport in Taiwan Strait. Marine Geodesy, 35, 16–31, doi: 10.1080/01490419.2011.572765.

    Zhu, J., and C. X. Yan, 2006: Nonlinear balance constraint in 3DVAR. Sci. China (D), 49, 331–336.

    Zhu, J., G.-Q. Zhou, C.-X. Yan, and X.-B. You, 2006: A three-dimensional variational ocean data assimilation system: Scheme and preliminary results. Sci. China (D), 49(12), 1212–1222.

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Manuscript received: 10 August 2012
Manuscript revised: 14 November 2012
通讯作者: 陈斌, bchen63@163.com
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A new version of regional ocean reanalysis for coastal waters of China and adjacent seas

    Corresponding author: HAN Guijun; 
  • 1. Key Laboratory of Marine Environmental Information Technology, State Oceanic Administration, National Marine Data and Information Service, Tianjin 300171
Fund Project:  This research was sponsored by the National Basic Research Program (Grant No. 2013CB430304) and National Natural Science Foundation of China (Grant Nos. 41030854, 41106005, 41176003, and 41206178), and National High-Tech RD Program (Grant No. 2013AA09A505) of China. The altimetry SSHA data were obtained from http://www.jason.oceanobs. com, the NCEP reanalysis data from ftp://ftp.cdc.noaa.gov/pub/ datasets/necp.reanalysis2, the CCMP ocean surface wind data from PO.DAAC (http://podaac.jpl.nasa.gov/DATA_ CATALOG/ccmpinfo.html), and the SODA reanalysis data from http://dsrs.atmos.umd.edu.

Abstract: A new regional ocean reanalysis over multiple decades (1958-2008) for the coastal waters of China and adjacent seas has been completed by the National Marine Data and Information Service (NMDIS) under the CORA (China Ocean ReAnalysis) project. Evaluations were performed on three aspects: (1) the improvement of general reanalysis quality; (2) eddy structures; and (3) decadal variability of sea surface height anomalies (SSHAs). Results showed that the quality of the new reanalysis has been enhanced beyond: 40% (39% for temperature, 44% for salinity) in terms of the reduction of root mean squared errors (RMSEs) for which the reanalysis values were compared to observed values in the observational space. Compared to the trial version released to public in 2009, the new reanalysis is able to reproduce more detailed eddy structures as seen in satellite and in situ observations. EOF analysis of the reanalysis SSHAs showed that the new reanalysis reconstructs the leading modes of SSHAs much better than the old version. These evaluations suggest that the new CORA regional reanalysis represents a much more useful dataset for the community of the coastal waters of China and adjacent seas.

摘要: A new regional ocean reanalysis over multiple decades (19582008) for the coastal waters of China and adjacent seas has been completed by the National Marine Data and Information Service (NMDIS) under the CORA (China Ocean ReAnalysis) project. Evaluations were performed on three aspects: (1) the improvement of general reanalysis quality; (2) eddy structures; and (3) decadal variability of sea surface height anomalies (SSHAs). Results showed that the quality of the new reanalysis has been enhanced beyond: 40% (39% for temperature, 44% for salinity) in terms of the reduction of root mean squared errors (RMSEs) for which the reanalysis values were compared to observed values in the observational space. Compared to the trial version released to public in 2009, the new reanalysis is able to reproduce more detailed eddy structures as seen in satellite and in situ observations. EOF analysis of the reanalysis SSHAs showed that the new reanalysis reconstructs the leading modes of SSHAs much better than the old version. These evaluations suggest that the new CORA regional reanalysis represents a much more useful dataset for the community of the coastal waters of China and adjacent seas.

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