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Preliminary results of a new global ocean reanalysis 被引量:4

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摘要 Using a new global ocean reanalysis of the second generation Global Ocean Data Assimilation System of the Beijing Climate Center(BCC_GODAS2.0) spanning the period 1990-2009,we firstly quantify the accuracy of BCC_GODAS2.0 in representing the temperature and salinity by comparing with OISST and SODA data.The results show that the assimilation system may effectively improve the estimations of temperature and salinity by assimilating all kinds of observations,especially in the equatorial eastern Pacific.Moreover,the root mean square errors of monthly temperature and salinity are respectively reduced by 0.53℃ and 0.28 psu,compared with the model control simulation results.Then,the applicability of this ocean reanalysis for sea surface temperature(SST) anomaly variability in the tropical Pacific is evaluated with the observational HadISST data.The NINO3 index of the new reanalysis shows a good agreement with that of HadISST,with a correlation of 93.6%.Variations in SST from BCC_GODAS2.0 are similar to those obtained from HadISST data along the equator,showing the major large zonal-scale features such as the strong magnitude of seasonal cycle.The amplitude of SST anomaly standard deviation in the equatorial eastern Pacific is also closer to observations(HadISST) than NCEP GODAS does.Besides,the first two leading empirical orthogonal function(EOF) modes of the monthly SST anomalies over the tropical Pacific region are explored.The EOF1 pattern of BCC_GODAS2.0 captures a traditional El Ni o pattern,which improves magnitudes of the positive SST anomaly in the cold tongue of the eastern Pacific.The EOF2 pattern exhibits a El Ni o Modoki pattern.Comparatively,the EOF2 pattern of BCC_GODAS2.0 extends more strongly toward the subtropics.It also overcomes the problem that negative loadings are confined in the narrow equatorial eastern Pacific.Consequently,the magnitude and spatial distribution of the leading EOF patterns of BCC_GODAS2.0 are well consistent with those of HadISST. Using a new global ocean reanalysis of the second generation Global Ocean Data Assimilation System of the Beijing Climate Center (BCC_GODAS2.0) spanning the period 1990-2009, we firstly quantify the accuracy of BCC_GODAS2.0 in representing the temperature and salinity by comparing with OISST and SODA data. The results show that the assimilation system may effec- tively improve the estimations of temperature and salinity by assimilating all kinds of observations, especially in the equatorial eastern Pacific. Moreover, the root mean square errors of monthly temperature and salinity are respectively reduced by 0.53~C and 0.28 psu, compared with the model control simulation results. Then, the applicability of this ocean reanalysis for sea surface temperature (SST) anomaly variability in the tropical Pacific is evaluated with the observational HadlSST data. The NINO3 index of the new reanalysis shows a good agreement with that of HadlSST, with a correlation of 93.6%. Variations in SST from BCC_GODAS2.0 are similar to those obtained from HadlSST data along the equator, showing the major large zonal-scale fea- tures such as the strong magnitude of seasonal cycle. The amplitude of SST anomaly standard deviation in the equatorial eastern Pacific is also closer to observations (HadlSST) than NCEP GODAS does. Besides, the first two leading empirical orthogonal function (EOF) modes of the monthly SST anomalies over the tropical Pacific region are explored. The EOF1 pattern of BCC_GODAS2.0 captures a traditional E1 Nifio pattern, which improves magnitudes of the positive SST anomaly in the cold tongue of the eastern Pacific. The EOF2 pattern exhibits a E1 Nifio Modoki pattern. Comparatively, the EOF2 pattern of BCC_GODAS2.0 extends more strongly toward the subtropics. It also overcomes the problem that negative loadings are confined in the narrow equatorial eastern Pacific. Consequently, the magnitude and spatial distribution of the leading EOF patterns of BCC GODAS2.0 are well consistent with those of HadISST.
出处 《Chinese Science Bulletin》 SCIE CAS 2012年第26期3509-3517,共9页
基金 supported by the National Basic Research Program of China(2011CB403504 and 2011CB403505)
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