| |
Preliminary results of a new global ocean reanalysis
- 作者:DongXiao Wang (1)
YingHao Qin (1) (2) XianJun Xiao (3) ZuQiang Zhang (3) FengMin Wu (4)
- 关键词:BCC_GODAS2.0 ; temperature ; salinity ; EOF ; El Ni?o ; El Ni?o Modoki
- 刊名:Chinese Science Bulletin
- 出版年:2012
- 出版时间:September 2012
- 年:2012
- 卷:57
- 期:26
- 页码:3509-3517
- 全文大小:1402KB
- 参考文献:1. Talagrand O. Assimilation of observations: An introduction. J Meteor Soc Jpn, 1997, 75: 191-09
2. You X B, Zhou G Q, Zhu J, et al. Sea temperature data assimilation system for the China Sea and adjacent areas. Chin Sci Bull, 2003, 48: 70-6 CrossRef 3. Shu Y Q, Wang D X, Zhu J, et al. The 4-D structure of upwelling and Pearl River plume in the northem South China Sea during summer 2008 revealed by a data assimilation model. Ocean Model, 2011, 36: 228-41 CrossRef 4. Bell M J, Forbes R M, Hines A. Assessment of the FOAM global data assimilation system for real-time operational ocean forecasting. J Mar Syst, 2000, 25: 1-2 CrossRef 5. Behringer D W, Ji M, Leetmaa A. An improved coupled model for ENSO prediction and implications for ocean initialization. Part I: The ocean data assimilation system. Mon Weather Rev, 1998, 126: 1013-021 CrossRef 6. De Mey P, Benkiran M. A multivariate reduced-order optimal interpolation method and its application to the Mediterranean basin-scale circulation, In: Pinardi N, Woods J, eds. Ocean Forecasting, Conceptual basis and Applications. Berlin: Springer-Verlag, 2002 7. Zhu J, Zhou G Q, Yan C, et al. A three-dimensional variational ocean data assimilation system: Scheme and preliminary results. Sci China Ser D-Earth Sci, 2006, 49: 1212-222 CrossRef 8. Yan C X, Zhu J, Zhou G Q. Impacts of XBT, TAO, altimetry, and ARGO observations on the tropic Pacific Ocean data assimilation. Adv Atmos Sci, 2007, 24: 383-98 CrossRef 9. Xiao X J, Wang D X, Yan C X, et al. Evaluation of a 3dVAR system for the South China Sea. Prog Nat Sci, 2008, 18: 547-54 CrossRef 10. Liu Y M, Zhang R H, Yin Y H, et al. The application of ARGO data to the global ocean data assimilation operational system of NCC. Acta Meteor Sin, 2005, 29: 355-65 11. Liu Y M, Li W J, Zhang P Q. A global 4-dimensional ocean data assimilation system and the studies on its results in the tropic Pacific (in Chinese). Acta Oceanol Sin, 2005, 27: 27-5 12. Li X Y, Qin D H, Xiao C D, et al. Progress regarding climate change during recent years (in Chinese). Chin Sci Bull (Chin Ver), 2011, 56: 3029-040 CrossRef 13. Xiao X J, He N, Zhang Z Q, et al. Variation assimilation using satellite data of sea surface temperature and altimeter (in Chinese). J Trop Oceanogr, 2011, 30: 1- 14. Haines K. A direct method for assimilating sea surface height data into ocean models with adjustments to the deep circulation. J Phys Oceanogr, 1991, 21: 843-68 CrossRef 15. Hayden C M, Purser R J. Recursive filter objective analysis of meteorological fields: Applications to NESDIS operational processing. J Appl Meteor, 1995, 34: 3-5 CrossRef 16. Troccoli A, Haines K. Use of the temperature-salinity relation in a data assimilation context. J Atmos Oceanic Technol, 1999, 16: 2011-025 CrossRef 17. Yan C X, Zhu J, Li R, et al. Roles of vertical correlation of the background error and T-S relation in estimation temperature and salinity profiles from sea surface dynamic height. J Geophys Res, 2004, 109: C08010 CrossRef 18. Zhu J, Yan C X. Nonlinear balance constraints in 3DVAR data assimilation. Sci China Ser D-Earth Sci, 2006, 49: 331-36 CrossRef 19. Griffies S M, Harrison M J, Pacanowski R C, et al. A Technical Guide to MOM4, 2003. 295 20. Smith W H F, Sandwell D T. Global seafloor topography from satellite altimetry and ship depth soundings. Science, 1997, 277: 1957-962 21. Edwards M O. Global gridded elevation and bathymetry (ETOPO5), digital raster data on a 5-minute geographic (lat/lon) 2160*4320 (centroid-registeredg) grid. Boulder, NOAA Natl Geophys Data Cent, 1989 22. Jakobsson M, Macnab R, Mayer L, et al. An improved bathymetric portrayal of the Arctic Ocean: Implications for ocean modeling and geological, geophysical and oceanographic analyses. Geophys Res Lett, 2008, 35: L07602 CrossRef 23. Kanamitsu M, Ebisuzaki W, Woollen J, et al. NCEP-DOE AMIP-II Reanalysis (R-2). Bull Amer Meteor Soc, 2002, 83: 1631-643 CrossRef 24. Gill A E, Niiler P P. The theory of the seasonal variability in the ocean. Deep-Sea Res, 1973, 20: 141-77 25. Reynolds R W, Rayner N A, Smith T M, et al. An improved / in situ and satellite SST analysis for climate. J Clim, 2002, 15: 1609-625 CrossRef 26. Carton J A, Chepurin G, Cao X, et al. A simple ocean data assimilation analysis of the global upper ocean 1950-5. Part I: Methodology. J Phys Oceanogr, 2000, 30: 294-09 CrossRef 27. Carton J A, Chepurin G, Cao X, et al. A simple ocean data assimilation analysis of the global upper ocean 1950-5. Part II: Results. J Phys Oceanogr, 2000, 30: 311-26 CrossRef 28. Rayner N A, Parker D E, Horton E B, et al. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res, 2003, 108: 4407 CrossRef 29. Xie S P. Interaction between the annual and interannual variations in the equatorial Pacific. J Phys Oceanogr, 1995, 25: 1930-941 CrossRef 30. Webster P J, Yang S. Monsoon and ENSO: Selectively interactive systems. Quart J Roy Meteor Soc, 1992, 118: 877-26 CrossRef 31. Wyrtki K. Water displacements in the Pacific and the genesis of El Ni?o cycles. J Geophys Res, 1985, 90: 7129-132 CrossRef 32. Rasmusson E M, Carpenter T H. Variations in tropical sea surface temperature and surface wind fields associated with the Southern Oscillation/El Ni?o. Mon Weather Rev, 1982, 110: 354-84 CrossRef 33. Ashok K, Behera S K, Rao S A, et al. El Ni?o Modoki and its possible teleconnection. J Geophys Res, 2007, 112: C11007 CrossRef
- 作者单位:DongXiao Wang (1)
YingHao Qin (1) (2) XianJun Xiao (3) ZuQiang Zhang (3) FengMin Wu (4)
1. State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China 2. Graduate University of Chinese Academy of Sciences, Beijing, 100049, China 3. National Climate Center, Beijing, 100081, China 4. Nanjing University of Information Science and Technology, Nanjing, 210044, China
- ISSN:1861-9541
文摘
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 1990-009, 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°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 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.
| |
NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via email.
| |