经典文献

1.     王跃山. 数据同化------它的缘起、含义和主要方法 [J],海洋预报,1999,16(1),11-20.

2.      李新,黄春林,车涛晋等. 中国陆面数据同化系统研究的进展与前瞻. [J]自然科学进展,2007.2,17(2)

3.        丑纪范. 四维同化的理论和新方法[R]. 兰州: 兰州大学大气科学系, 1994.

4.        Daley R. Atmospheric Data Analysis [M]. New York, USA: Cambridge University Press, 1991. 457 pp.

5.        Talagrand O. Assimilation of observations, an introduction [J]. Journal of the Meteorological Society of Japan, 1997, 75(1B): 191-209.

6.        National Research Council, Panel on Model-Assimilated Data Sets for Atmospheric and Oceanic Research. Four Dimensional Model Assimilation of Data [M]. Washington, D. C.: National Academy Press, 1991. 78 pp.

7.        Kalnay E. Atmospheric Modeling, Data Assimilation and Predictability[M].: Cambridge University Press, 2002. 512 pp.

8.        Courtier P. Variational methods [J]. Journal of the Meteorological Society of Japan, 1997, 75(1B): 211-218.

9.        Li X, Koike T, Mahadevan P. A very fast simulated re-annealing (VFSA) approach for land data assimilation [J]. Computers and Geosciences, 2004, 30(3): 239-248.

10.    Evensen G. The Ensemble Kalman Filter: theoretical formulation and practical implementation [J]. Ocean Dynamics, 2003, 53: 343-367.

11.    Evensen G. Data Assimilation, the Ensemble Kalman Filter [M]. Berlin, Heidelberg: Springer, 2007. 279 pp.

12.    Han XJ, Li X. An evaluation of the nonlinear/non-Gaussian filters for the sequential data assimilation [J]. Remote Sensing of Environment, 2008, 112(4): 1434-1449.

13.    韩旭军, 李新. 非线性滤波方法与陆面数据同化[J]. 地球科学进展, 2008, 23(8): 813820.

14.    Ide K, Courtier P, Ghil M, et al. Unified notation for data assimilation: operational, sequential and variational [J]. Journal of the Meteorological Society of Japan, 1997, 75(1B): 181-189.