| [1] McLaughlin D. Recent developments in hydrologic data assimilation[J]. Reviews of Geophysics, 1995, 33(Suppl. 2): 977-984.
[2] Li Xin, Huang Chunlin, Che Tao, et al. Development of a Chinese land data assimilation system: Its progress and prospects[J]. Progress in Natural Science, 2007, 17(8): 881-892.[李新,黄春林,车涛,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,2007,17(2): 163-173.]
[3] Bai Yulong, Li Xin, Han Xujun. A review of error problems for land data assimilation systems[J]. Advances in Earth Science, 2011, 26(8): 795-804.[摆玉龙,李新,韩旭军.陆面数据同化系统误差问题研究综述[J].地球科学进展,2011, 26(8): 795-804.]
[4] Evensen G. Data Assimilation: The Ensemble Kalman Filter[M]. Berlin, Heidelberg: Springer, 2007: 279.
[5] Reichle R H. Data assimilation methods in the Earth sciences[J]. Advances in Water Resources, 2008, 31(11): 1 411-1 418.
[6] Chen Jing, Chen Dehui, Yan Hong. A brief review on the development of ensemble prediction system[J]. Journal of Applied Meteorological Science, 2002, 13(4): 497-507.[陈静,陈德辉,颜宏.集合数值预报发展与研究进展[J].应用气象学报,2002,13(4): 497-507.]
[7] Nie Suping, Zhu Jiang, Luo Yong. Comparison experiments of different model error schemes in ensemble Kalman filter soil moisture assimilation [J]. Chinese Journal of Atmospheric Sciences,2010, 34(3): 580-590.[聂肃平,朱江,罗勇.不同模式误差方案在集合Kalman滤波土壤湿度同化中的比较试验[J].大气科学,2010, 34(3): 580-590.]
[8] Dee D P, Da Silva A M. Data assimilation in the presence of forecast bias[J]. Quarterly Journal of the Royal Meteorological Society, 1998, 124(545): 269-295.
[9] Zhong Jian, Huang Sixun, Fei Jianfang, et al. Dynamics of model errors: Accounting for parameters error and processes lacking error[J]. Chinese Journal of Atmospheric Sciences, 2011,35(6): 1 169-1 176.[钟剑,黄思训,费建芳,等.模式误差动力特征:模式参数误差和物理过程描绘缺失误差[J].大气科学,2011, 35(6): 1 169-1 176.]
[10] Crow W T, Van Loon E. Impact of incorrect model error assumptions on the sequential assimilation of remotely sensed surface soil moisture[J]. Journal of Hydrometeorology, 2006, 7(3): 421-432.
[11] Zhang S W, Zeng X, Zhang W, et al. Revising the ensemble-based Kalman filter covariance for the retrieval of deep-layer soil moisture[J]. Journal of Hydrometeorology, 2010, 11(1): 219-227.
[12] Dee D P. Bias and data assimilation[J]. Quarterly Journal of the Royal Meteorological Society, 2005, 131(613): 3 323-3 343.
[13] Drécourt J P, Madsen H, Rosbjerg D. Bias aware Kalman filters: Comparison and improvements[J]. Advances in Water Resources, 2006, 29(5): 707-718.
[14] Drécourt J P, Madsen H, Rosbjerg D. Calibration framework for a Kalman filter applied to a groundwater model[J]. Advances in Water Resources, 2006, 29(5): 719-734.
[15] Whitaker J S, Hamill T M. Ensemble data assimilation without perturbed observations[J]. Monthly Weather Review, 2002, 130(7): 1 913-1 924.
[16] Koster R D, Suarez M J. Soil moisture memory in climate models[J]. Journal of Hydrometeorology, 2001, 2(6): 558-570.
[17]Mahrt L, Pan H. A two-layer model of soil hydrology[J]. Boundary-Layer Meteorology, 1984, 29(1): 1-20.
[18] Liu Yanhua, Zhang Shuwen, Mao Lu, et al. An evaluation of simulated and estimated land surface states with two different models[J]. Advances in Earth Science, 2013, 28(8): 913-922.[刘彦华,张述文,毛璐,等.评估两类模式对陆面状态的模拟和估算[J].地球科学进展, 2013, 28(8): 913-922.]
[19] Campbell G S. A simple method for determining unsaturated conductivity from moisture retention data[J]. Soil Science, 1974, 117(6): 311-314.
[20] Kalman R E. A new approach to linear filtering and prediction problems[J]. Journal of Fluids Engineering, 1960, 82(1): 35-45.
[21] Anderson J L. An ensemble adjustment Kalman filter for data assimilation[J].Monthly Weather Review, 2001, 129(12): 2 884-2 903.
[22] Evensen G. The ensemble Kalman filter: Theoretical formulation and practical implementation[J]. Ocean Dynamics, 2003, 53(4): 343-367.
[23] Kalnay E. Atmospheric Modeling, Data Assimilation, and Predictability[M]. Cambridge:Cambridge University Press, 2003:341.
[24] Houtekamer P L, Mitchell H L. Data assimilation using an ensemble Kalman filter technique[J]. Monthly Weather Review, 1998, 126(3): 796-811. |